Applied Data Science Track Papers Schedule
Tuesday, August 27 11:00-13:00, Room 119
Theme: Industrial / Manufacturing Applications
Session Chair: TBD
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation |
Porter Jenkins (Brigham Young University); Michael Selander (Delicious AI); J. Stockton Jenkins (Delicious AI); Andrew Merrill (Delicious AI); Kyle Armstrong (Delicious AI) |
Pre-trained KPI Anomaly Detection Model Based on Disentangled Transformer |
Zhaoyang Yu (Tsinghua University, BNRist); Changhua Pei (Computer Network Information Center, Chinese Academy of Sciences); Xin Wang (Stony Brook University); Minghua Ma (Microsoft); Chetan Bansal (Microsoft); Saravan Rajmohan (Microsoft); Qingwei Lin (Microsoft); Dongmei Zhang (Microsoft); Xidao Wen (BizSeer Technology); Jianhui Li (Computer Network Information Center, Chinese Academy of Sciences); Gaogang Xie (Computer Network Information Center, Chinese Academy of Sciences); Dan Pei (Tsinghua University, BNRist) |
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems |
Yu Sha (Xidian University, FIAS and XF-IJRC); Shuiping Gou (Xidian University); Bo Liu (Xidian University); Johannes Faber (FIAS); Ningtao Liu (Xidian University); Stefan Schramm (FIAS); Horst Stoecker (FIAS, Goethe Universität and GSI); Thomas Steckenreiter (SAMSON AG); Domagoj Vnucec (SAMSON AG); Nadine Wetzstein (SAMSON AG); Andreas Widl (SAMSON AG); Kai Zhou (CUHK-SZ and FIAS) |
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization |
Yuyang Ye (Department of Management Science and Information Systems, Rutgers Business School, Rutgers University); Lu-An Tang (Department of Data Science and System Security, NEC Laboratories); Haoyu Wang (Department of Data Science and System Security, NEC Laboratories); Runlong Yu (Department of Computer Science, University of Pittsburgh); Wenchao Yu (Department of Data Science and System Security, NEC Laboratories); Erhu He (Department of Data Science and System Security, NEC Laboratories); Haifeng Chen (Department of Data Science and System Security, NEC Laboratories); Hui Xiong (Thrust of Artificial Intelligence, Hong Kong University of Science and Technology (Guangzhou), Department of Computer Science and Engineering, The Hong Kong University of Science and Technology) |
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images |
Sukanya Patra (University of Mons); Nicolas Sournac (University of Mons); Souhaib Ben Taieb (University of Mons) |
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection |
Zhanguang Zhang (Huawei Noah’s Ark Lab); Didier Chételat (Huawei Noah’s Ark Lab); Joseph Cotnareanu (McGill University); Amur Ghose (Huawei Noah’s Ark Lab); Wenyi Xiao (Huawei Noah’s Ark Lab); Hui-Ling Zhen (Huawei Noah’s Ark Lab); Yingxue Zhang (Huawei Noah’s Ark Lab); Jianye Hao (Huawei Noah’s Ark Lab); Mark Coates (McGill University); Mingxuan Yuan (Huawei Noah’s Ark Lab) |
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity |
Harshavardhan Kamarthi (Georgia Institute of Technology); Aditya Sasanur (Georgia Institute of Technology); Xinjie Tong (Dow, Inc.); Xingyu Zhou (Dow, Inc.); James Peters (Northwestern University); Joseph Czyzyk (Dow, Inc.); B. Aditya Prakash (Georgia Institute of Technology) |
Tuesday, August 27 11:00-13:00, Room 124-125
Theme: LLM Benchmarking and Evaluation
Session Chair: TBD
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis |
Zhiwei Liu (The University of Manchester); Kailai Yang (The University of Manchester); Qianqian Xie (The University of Manchester); Tianlin Zhang (The University of Manchester); Sophia Ananiadou (The University of Manchester, Artificial Intelligence Research Center) |
R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models |
Shangqing Tu (DCST, Tsinghua University); Yuanchun Wang (SoI, Renmin University of China); Jifan Yu (DCST, Tsinghua University); Yuyang Xie (DCST, Tsinghua University); Yaran Shi (SIOE, Beihang University); Xiaozhi Wang (DCST, Tsinghua University); Jing Zhang (SoI, Renmin University of China); Lei Hou (BNRist, DCST, Tsinghua University); Juanzi Li (BNRist, DCST, Tsinghua University) |
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning |
Weirui Kuang (Alibaba Group); Bingchen Qian (Alibaba Group); Zitao Li (Alibaba Group); Daoyuan Chen (Alibaba Group); Dawei Gao (Alibaba Group); Xuchen Pan (Alibaba Group); Yuexiang Xie (Alibaba Group); Yaliang Li (Alibaba Group); Bolin Ding (Alibaba Group); Jingren Zhou (Alibaba Group) |
Measuring an LLM’s Proficiency at using APIs : A Query Generation Strategy |
Ying Sheng (Google Research); Sudeep Gandhe (Google Research); Bhargav Kanagal (Google Research); Nick Edmonds (Google Research); Zachary Fisher (Google Research); Sandeep Tata (Google Research); Aarush Selvan (Google) |
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning |
Congyun Jin (Ant Group); Ming Zhang (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Xiaowei Ma (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Li Yujiao (Ant Group); Yingbo Wang (Ant Group); Jia Yabo (Ant Group); Yuliang Du (Ant Group); Tao Sun (Ant Group); Haowen Wang (Ant Group); Cong Fan (Ant Group); Jinjie Gu (Ant Group); Chenfei Chi (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Xiangguo Lv (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Fangzhou Li (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Wei Xue (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital); Yiran Huang (Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital) |
Understanding the Weakness of Large Language Model Agents within a Complex Android Environment |
Mingzhe Xing (Peking University); Rongkai Zhang (Peking University); Hui Xue (Microsoft Research); Qi Chen (Microsoft Research); Fan Yang (Microsoft Research); Zhen Xiao (Peking University) |
Face4Rag: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese |
Yunqi Xu (Ant Group); Tianchi Cai (Ant Group); Jiyan Jiang (Tsinghua University); Xierui Song (Ant Group) |
Tuesday, August 27 11:00-13:00, Room 127-128
Theme: Recommendations for Advertising
Session Chair: TBD
Unified Low-rank Compression Framework for Click-through Rate Prediction |
Hao Yu (Nanjing University); Minghao Fu (Nanjing University); Jiandong Ding (Researcher); Yusheng Zhou (Researcher); Jianxin Wu (Nanjing University) |
Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration |
Chang Liu (Shanghai Jiaotong University); Qiwei Wang (Tencent); Wenqing Lin (Tencent); Yue Ding (Shanghai Jiao Tong University); Hongtao Lu (Shanghai Jiao Tong University) |
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems |
Jianping Wei (Ant Group); Yujie Zhou (Ant Group); Zhengwei Wu (Ant Group); Ziqi Liu (Ant Group) |
Unsupervised Ranking Ensemble Model for Recommendation |
Wenhui Yu (Kuaishou Technology); Bingqi Liu (Kuaishou Technology); Bin Xia (Kuaishou Technology); Xiaoxiao Xu (Kuaishou Technology); Ying Chen (Kuaishou Technology); Yongchang Li (Kuaishou Technology); Lantao Hu (Kuaishou Technology) |
Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction |
Ruijie Hou (Wechat, Tencent); Zhaoyang Yang (Wechat, Tencent); Yu Ming (Wechat, Tencent); Hongyu Lu (Wechat, Tencent); Zhuobin Zheng (Wechat, Tencent); Yu Chen (Wechat, Tencent); Qinsong Zeng (Wechat, Tencent); Ming Chen (Wechat, Tencent) |
Ads Recommendation in a Collapsed and Entangled World |
Junwei Pan (Tencent); Wei Xue (Tencent); Ximei Wang (Tencent); Haibin Yu (Tencent); Xun Liu (Tencent); Shijie Quan (Tencent); Xueming Qiu (Tencent); Dapeng Liu (Tencent); Lei Xiao (Tencent); Jie Jiang (Tencent) |
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning |
Amit Sharma (Microsoft Research); Hua Li (Microsoft Bing Ads); Xue Li (Microsoft Bing Ads); Jian Jiao (Microsoft Bing Ads) |
Tuesday, August 27 14:00-16:00, Room 119
Theme: Spatiotemporal Applications
Session Chair: TBD
Transportation Marketplace Rate Forecast Using Signature Transform |
Haotian Gu (University of California, Berkeley); Xin Guo (Worldwide Operations Research Science, Amazon.com Inc., University of California, Berkeley); Timothy L. Jacobs (Worldwide Operations Research Science, Amazon.com Inc.); Philip Kaminsky (Worldwide Operations Research Science, Amazon.com Inc., University of California, Berkeley); Xinyu Li (University of California, Berkeley) |
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge |
Yuning Chen (University of California, Merced); Kang Yang (University of California, Merced); Zhiyu An (University of California, Merced); Brady Holder (University of California, Agriculture and Natural Resources); Luke Paloutzian (University of California, Agriculture and Natural Resources); Khaled M. Bali (University of California, Agriculture and Natural Resources); Wan Du (University of California, Merced) |
Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization |
Haoye Chai (Department of Electronic Engineering, BNRist, Tsinghua University); Tao Jiang (Research Center of 6G Mobile Communications, School of Cyber Science and Engineering, Huazhong University of Science and Technology); Li Yu (Chinamobile Research Institute) |
LaDe: The First Comprehensive Last-mile Express Dataset from Industry |
Lixia Wu (Cainiao Network); Haomin Wen (School of Computer and Information Technology, Beijing Jiaotong University, Cainiao Network); Haoyuan Hu (Cainiao Network); Xiaowei Mao (School of Computer and Information Technology, Beijing Jiaotong University, Cainiao Network); Yutong Xia (National University of Singapore); Ergang Shan (Cainiao Network); Jianbin Zheng (Artificial Intelligence Department, Cainiao Network); Junhong Lou (Cainiao Network); Yuxuan Liang (Hong Kong University of Science and Technology (Guangzhou)); Liuqing Yang (Hong Kong University of Science and Technology (Guangzhou)); Roger Zimmermann (National University of Singapore); Youfang Lin (School of Computer and Information Technology, Beijing Jiaotong Univercity); Huaiyu Wan (School of Computer and Information Technology, Beijing Jiaotong University) |
UrbanGPT: Spatio-Temporal Large Language Models |
Zhonghang Li (South China University of Technology, The University of Hong Kong); Lianghao Xia (The University of Hong Kong); Jiabin Tang (The University of Hong Kong); Yong Xu (South China University of Technology); Lei Shi (Baidu Inc.); Long Xia (Baidu Inc.); Dawei Yin (Baidu Inc.); Chao Huang (The University of Hong Kong) |
Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction |
Dekang Qi (Southwest Jiaotong University, JD iCity, JD Technology); Xiuwen Yi (JD iCity, JD Technology, JD Intelligent Cities Research); Chengjie Guo (Xidian University); Yanyong Huang (Southwestern University of Finance and Economics); Junbo Zhang (JD iCity, JD Technology, JD Intelligent Cities Research); Tianrui Li (Southwest Jiaotong University); Yu Zheng (JD iCity, JD Technology, JD Intelligent Cities Research) |
Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance |
Yi Xie (Fudan University); Tianyu Qiu (Fudan University); Yun Xiong (Fudan University); Xiuqi Huang (Shanghai Jiaotong University); Xiaofeng Gao (Shanghai Jiao Tong University); Chao Chen (Sorbonne Université – Faculté des Sciences (Paris VI)); Qiang Wang (Shanghai Center for Meteorological Disaster Prevention Technology); Haihong Li (Shanghai Center for Meteorological Disaster Prevention Technology) |
Tuesday, August 27 14:00-16:00, Room 124-125
Theme: Benchmarking
Session Chair: TBD
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining |
Fanjin Zhang (Tsinghua University); Shijie Shi (Zhipu AI); Yifan Zhu (Beijing University of Posts and Telecommunications); Bo Chen (Tsinghua University); Yukuo Cen (Zhipu AI); Jifan Yu (Tsinghua University); Yelin Chen (Zhipu AI); Lulu Wang (Zhipu AI); Qingfei Zhao (Zhipu AI); Yuqing Cheng (Zhipu AI); Tianyi Han (Zhipu AI); Yuwei An (Tsinghua University); Dan Zhang (Tsinghua University); Weng Lam Tam (Zhipu AI); Kun Cao (Zhipu AI); Yunhe Pang (Zhipu AI); Xinyu Guan (Biendata); Huihui Yuan (Zhipu AI); Jian Song (Zhipu AI); Xiaoyan Li (Zhipu AI); Yuxiao Dong (Tsinghua University); Jie Tang (Tsinghua University) |
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs |
Shanshan Han (University of California, Irvine); Baturalp Buyukates (University of Southern California); Zijian Hu (TensorOpera Inc.); Han Jin (University of Southern California); Weizhao Jin (University of Southern California); Lichao Sun (Lehigh University); Xiaoyang Wang (UIUC); Wenxuan Wu (Texas A&M University); Chulin Xie (UIUC); Yuhang Yao (Carnegie Mellon University); Kai Zhang (Lehigh University); Qifan Zhang (University of California, Irvine); Yuhui Zhang (Zhejiang University); Carlee Joe-Wong (Carnegie Mellon University); Salman Avestimehr (USC, TensorOpera Inc); Chaoyang He (TensorOpera Inc.) |
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems |
Pengyue Jia (City University of Hong Kong); Yejing Wang (City University of Hong Kong); Zhaocheng Du (Huawei Noah’s Ark Lab); Xiangyu Zhao (City University of Hong Kong); Yichao Wang (Huawei Noah’s Ark Lab); Bo Chen (Huawei Noah’s Ark Lab); Wanyu Wang (City University of Hong Kong); Huifeng Guo (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab) |
Class-incremental Learning for Time Series: Benchmark and Evaluation |
Zhongzheng Qiao (IGP-ERI@N, NTU, I2R, A*STAR); Quang Pham (I2R, A*STAR); Zhen Cao (I2R, A*STAR); Hoang H. Le (Ho Chi Minh University of Science, Vietnam National University); P. N. Suganthan (Qatar University); Xudong Jiang (School of Electrical and Electronic Engineering, NTU); Savitha Ramasamy (I2R, A*STAR, CNRS@CREATE) |
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques |
Yu Xiong (Fuxi AI Lab, NetEase Inc.); Zhipeng Hu (Fuxi AI Lab, NetEase Inc.); Ye Huang (Fuxi AI Lab, NetEase Inc.); Runze Wu (Fuxi AI Lab, NetEase Inc.); Kai Guan (Fuxi AI Lab, NetEase Inc.); XingChen Fang (Fuxi AI Lab, NetEase Inc.); Ji Jiang (Fuxi AI Lab, NetEase Inc.); Tianze Zhou (Fuxi AI Lab, NetEase Inc.); YuJing Hu (Fuxi AI Lab, NetEase Inc.); Haoyu Liu (Fuxi AI Lab, NetEase Inc.); Tangjie Lyu (Fuxi AI Lab, NetEase Inc.); Changjie Fan (Fuxi AI Lab, NetEase Inc.) |
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark |
Xiaowei Qian (Rensselaer Polytechnic Institute); Zhimeng Guo (Pennsylvania State University); Jialiang Li (New Jersey Institute of Technology); Haitao Mao (Michigan State University); Bingheng Li (University of Electronic Science and Technology of China); Suhang Wang (Pennsylvania State University); Yao Ma (Rensselaer Polytechnic Institute) |
From Variability to Stability: Advancing RecSys Benchmarking Practices |
Valeriy Shevchenko (Skoltech); Nikita Belousov (Skoltech); Alexey Vasilev (Sber AI Lab); Vladimir Zholobov (Skoltech, MIPT); Artyom Sosedka (Sber AI Lab); Natalia Semenova (AIRI, Sber AI Lab); Anna Volodkevich (Sber AI Lab); Andrey Savchenko (Sber AI Lab); Alexey Zaytsev (Skoltech, BIMSA) |
Tuesday, August 27 14:00-16:00, Room 127-128
Theme: Computational Advertising
Session Chair: TBD
Generative Auto-bidding via Conditional Diffusion Modeling |
Jiayan Guo (Peking University, Alibaba Group); Yusen Huo (Alibaba Group); Zhilin Zhang (Alibaba Group); Tianyu Wang (Alibaba Group); Chuan Yu (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group); Yan Zhang (Peking University) |
Know in $AdVance:$ Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest |
Xiaoyu Wang (University of Science and Technology of China, National Institute of Informatics); Yonghui Guo (Tencent Advertising); Hui Sheng (Tencent Advertising); Peili Lv (Tencent Advertising); Chi Zhou (Tencent Advertising); Wei Huang (Tencent Advertising); Shiqin Ta (Tencent Advertising); Dongbo Huang (Tencent Advertising); Xiujin Yang (Tencent Advertising); Lan Xu (Tencent Advertising); Hao Zhou (LINKE Lab, School of Computer Science and Technology, University of Science and Technology of China, CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China); Yusheng Ji (Information Systems Architecture Science Research Division, National Institute of Informatics) |
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising |
Shuai Yang (Shopee Discovery Ads); Hao Yang (Shopee Discovery Ads); Zhuang Zou (Shopee Discovery Ads); Linhe Xu (Shopee Discovery Ads); Shuo Yuan (Shopee Discovery Ads); Yifan Zeng (Shopee Discovery Ads) |
Spending Programmed Bidding: Privacy-friendly Bid Optimization with ROI Constraint in Online Advertising |
Yumin Su (ByteDance Inc.); Min Xiang (ByteDance Inc.); Yifei Chen (ByteDance Inc.); Yanbiao Li (ByteDance Inc.); Tian Qin (ByteDance Inc.); Hongyi Zhang (ByteDance Inc.); Yasong Li (ByteDance Inc.); Xiaobing Liu (ByteDance Inc.) |
Offline Reinforcement Learning for Optimizing Production Bidding Policies |
Dmytro Korenkevych (AI at Meta); Frank Cheng (AI at Meta); Artsiom Balakir (AI at Meta); Alex Nikulkov (AI at Meta); Lingnan Gao (Meta Platform Inc.); Zhihao Cen (AI at Meta); Zuobing Xu (Meta Platform Inc.); Zheqing Zhu (AI at Meta) |
Understanding the Ranking Loss for Recommendation with Sparse User Feedback |
Zhutian Lin (Shenzhen International Graduate School, Tsinghua University); Junwei Pan (Tencent Inc.); Shangyu Zhang (Tencent Inc.); Ximei Wang (Tencent Inc.); Xi Xiao (Shenzhen International Graduate School, Tsinghua University); Huang Shudong (Tencent Inc.); Lei Xiao (Tencent Inc.); Jie Jiang (Tencent Inc.) |
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising |
Ruize Wang (Tencent Inc.); Hui Xu (Tencent Inc.); Ying Cheng (School of Computer Science, Fudan University); Qi He (Tencent Inc.); Xing Zhou (Tencent Inc.); Rui Feng (School of Computer Science, Fudan University); Wei Xu (Tencent Inc.); Lei Huang (Tencent Inc.); Jie Jiang (Tencent Inc.) |
Tuesday, August 27 16:30-18:30, Room 119
Theme: Live-streaming, Gaming, and Music
Session Chair: TBD
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion |
Jiaxin Deng (Institute of Automation, School of Artificial Intelligence, University of Chinese Academy of Sciences); Shiyao Wang (KuaiShou Inc.); Yuchen Wang (KuaiShou Inc.); Jiansong Qi (KuaiShou Inc.); Liqin Zhao (KuaiShou Inc.); Guorui Zhou (KuaiShou Inc.); Gaofeng Meng (Institute of Automation) |
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning |
Yu Sun (Shandong University); Kai Wang (Fuxi AI Lab, NetEase Inc); Zhipeng Hu (Fuxi AI Lab, NetEase Inc); Runze Wu (Fuxi AI Lab, NetEase Inc); Yaoxin Wu (Eindhoven University of Technology); Wen Song (Shandong University); Xudong Shen (Fuxi AI Lab, NetEase Inc); Tangjie Lv (Fuxi AI Lab, NetEase Inc); Changjie Fan (Fuxi AI Lab, NetEase Inc) |
Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model |
Yanjie Gou (Common Data Platform, Tencent); Yuanzhou Yao (Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Zhao Zhang (Institute of Computing Technology, Chinese Academy of Sciences); Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences); Yi Hu (Common Data Platform, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, Zhongguancun Laboratory); Jiangming Liu (School of Information Science and Engineering, Yunnan University); Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences) |
SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization |
Stephen Hahn (Duke University); Jerry Yin (Duke University); Rico Zhu (Duke University); Weihan Xu (Duke University); Yue Jiang (Duke University); Simon Mak (Duke University); Cynthia Rudin (Duke University) |
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay |
Hussain Jagirdar (Games24x7); Rukma Talwadker (Games24x7); Aditya Pareek (Games24x7); Pulkit Agrawal (Games24x7); Tridib Mukherjee (Games24x7) |
Tuesday, August 27 16:30-18:30, Room 124-125
Theme: Deep Learning / Graph Learning for E-Commerce
Session Chair: TBD
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce |
Zhe Lin (Alibaba Group); Jiwei Tan (Alibaba Group); Ou Dan (Alibaba Group); Chen Xi (Alibaba Group); Shaowei Yao (Alibaba Group); Bo Zheng (Alibaba Group) |
Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs |
Jinquan Hang (JD Logistics, Rutgers University, New Brunswick); Zhiqing Hong (Rutgers University, New Brunswick); Xinyue Feng (Rutgers University, New Brunswick); Guang Wang (Florida State University); Guang Yang (Rutgers University, New Brunswick); Feng Li (JD Logistics); Xining Song (JD Logistics); Desheng Zhang (Rutgers University, New Brunswick) |
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications |
Da Zheng (Amazon AWS AI); Xiang Song (Amazon AWS AI); Qi Zhu (Amazon AWS AI); Jian Zhang (Amazon AWS AI); Theodore Vasiloudis (Amazon AWS AI); Runjie Ma (Amazon AWS AI); Houyu Zhang (Amazon Search AI); Zichen Wang (Amazon AWS AI); Soji Adeshina (Amazon AWS AI); Israt Nisa (Amazon AWS AI); Alejandro Mottini (Amazon Search AI); Qingjun Cui (Amazon Search AI); Huzefa Rangwala (Amazon AWS AI); Belinda Zeng (Amazon SP); Christos Faloutsos (Amazon AWS AI); George Karypis (Amazon AWS AI) |
Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization |
Ahmed Abdulaal (Walmart Global Tech); Ali Polat (Shipt); Hari Narayan (Shipt); Wenrong Zeng (Shipt); Yimin Yi (Shipt) |
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners |
Shanu Vashishtha (Walmart Global Tech); Abhinav Prakash (Walmart Global Tech); Lalitesh Morishetti (Walmart Global Tech); Kaushiki Nag (Walmart Global Tech); Yokila Arora (Walmart Global Tech); Sushant Kumar (Walmart Global Tech); Kannan Achan (Walmart Global Tech) |
Bringing Multimodality to Amazon Visual Search System |
Xinliang Zhu (Amazon); Sheng-Wei Huang (Amazon); Han Ding (Amazon); Jinyu Yang (Amazon); Kelvin Chen (Amazon); Tao Zhou (Amazon); Tal Neiman (Amazon); Ouye Xie (Amazon); Son Tran (Amazon); Benjamin Yao (Amazon); Douglas Gray (Amazon); Anuj Bindal (Amazon); Arnab Dhua (Amazon) |
Tuesday, August 27 16:30-18:30, Room 127-128
Theme: Recommendations for Social Networks
Session Chair: TBD
Future Impact Decomposition in Request-level Recommendations |
Xiaobei Wang (Peking University); Shuchang Liu (Kuaishou Technology); Xueliang Wang (Kuaishou Technology); Qingpeng Cai (Kuaishou Technology); Lantao Hu (Kuaishou Technology); Han Li (Kuaishou Technology); Peng Jiang (Kuaishou Technology); Kun Gai (Unaffiliated); Guangming Xie (Peking University) |
LiGNN: Graph Neural Networks at LinkedIn |
Fedor Borisyuk (LinkedIn); Shihai He (LinkedIn); Yunbo Ouyang (LinkedIn); Morteza Ramezani (LinkedIn); Peng Du (LinkedIn); Xiaochen Hou (LinkedIn); Chengming Jiang (LinkedIn); Nitin Pasumarthy (LinkedIn); Priya Bannur (LinkedIn); Birjodh Tiwana (LinkedIn); Ping Liu (LinkedIn); Siddharth Dangi (LinkedIn); Daqi Sun (LinkedIn); Zhoutao Pei (LinkedIn); Xiao Shi (LinkedIn); Sirou Zhu (LinkedIn); Qianqi Shen (LinkedIn); Kuang-Hsuan Lee (LinkedIn); David Stein (LinkedIn); Baolei Li (LinkedIn); Haichao Wei (LinkedIn); Amol Ghoting (LinkedIn); Souvik Ghosh (LinkedIn) |
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting |
Yimeng Bai (University of Science and Technology of China); Yang Zhang (University of Science and Technology of China); Fuli Feng (University of Science and Technology of China, USTC Beijing Research Institute); Jing Lu (Kuaishou Technology); Xiaoxue Zang (Kuaishou Technology); Chenyi Lei (Kuaishou Technology); Yang Song (Kuaishou Technology) |
Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization |
Ariel Evnine (Meta); Stratis Ioannidis (Northeastern University); Dimitris Kalimeris (Meta); Shankar Kalyanaraman (Meta); Weiwei Li (Meta); Israel Nir (Meta); Wei Sun (Meta); Udi Weinsberg (Meta) |
LiMAML: Personalization of Deep Recommender Models via Meta Learning |
Ruofan Wang (LinkedIn Corporation); Prakruthi Prabhakar (LinkedIn Corporation); Gaurav Srivastava (LinkedIn Corporation); Tianqi Wang (LinkedIn Corporation); Zeinab S. Jalali (LinkedIn Corporation); Varun Bharill (LinkedIn Corporation); Yunbo Ouyang (LinkedIn Corporation); Aastha Nigam (LinkedIn Corporation); Divya Venugopalan (LinkedIn Corporation); Aman Gupta (LinkedIn Corporation); Fedor Borisyuk (LinkedIn Corporation); Sathiya Keerthi (LinkedIn Corporation); Ajith Muralidharan (Aliveo AI Corp) |
Trinity: Syncretizing Multi-/Long-Tail/Long-Term Interests All in One |
Jing Yan (ByteDance Inc.); Liu Jiang (ByteDance Inc.); Jianfei Cui (ByteDance Inc.); Zhichen Zhao (ByteDance Inc.); Xingyan Bin (ByteDance Inc.); Feng Zhang (ByteDance Inc.); Zuotao Liu (ByteDance Inc.) |
Wednesday, August 28 11:00-13:00, Room 119
Theme: Marketing Applications
Session Chair: TBD
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing |
Bowei He (City University of Hong Kong); Yunpeng Weng (FiT, Tencent); Xing Tang (FiT, Tencent); Ziqiang Cui (City University of Hong Kong); Zexu Sun (Renmin University of China); Liang Chen (FiT, Tencent); Xiuqiang He (FiT, Tencent); Chen Ma (City University of Hong Kong) |
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning |
Kaidi Li (Huawei Inc); Tianmeng Yang (Peking University); Min Zhou (Huawei Inc); Jiahao Meng (Peking University); Shendi Wang (Huawei Inc); Yihui Wu (Huawei Inc); Boshuai Tan (ICBC Limited); Hu Song (ICBC Limited); Lujia Pan (Huawei Inc); Fan Yu (Huawei Inc); Zhenli Sheng (Huawei Inc); Yunhai Tong (Peking University) |
LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment |
Yongfeng Gu (Ant Group); Yupeng Wu (School of Computer Science and Technology, East China Normal University); Huakang Lu (School of Computer Science and Technology, East China Normal University); Xingyu Lu (Ant Group); Hong Qian (School of Computer Science and Technology, East China Normal University); Jun Zhou (Ant Group); Aimin Zhou (School of Computer Science and Technology, East China Normal University) |
Temporal Uplift Modeling for Online Marketing |
Xin Zhang (Wuhan University); Kai Wang (NetEase Fuxi AI Lab); Zengmao Wang (Wuhan University); Bo Du (Wuhan University); Shiwei Zhao (NetEase Fuxi AI Lab); Runze Wu (NetEase Fuxi AI Lab); Xudong Shen (NetEase Fuxi AI Lab); Tangjie Lv (NetEase Fuxi AI Lab); Changjie Fan (Netease Fuxi AI Lab) |
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs |
Junjie Wang (Zhejiang University, Ant Group); Dan Yang (Ant Group); Binbin Hu (Ant Group); Yue Shen (Ant Group); Wen Zhang (Zhejiang University); Jinjie Gu (Ant Group) |
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System |
Changshuai Wei (LinkedIn Corporation); Benjamin Zelditch (LinkedIn Corporation); Joyce Chen (LinkedIn Corporation); Andre Assuncao Silva T Ribeiro (LinkedIn Corporation); Jingyi Kenneth Tay (LinkedIn Corporation); Borja Ocejo Elizondo (LinkedIn Corporation); Sathiya Keerthi Selvaraj (LinkedIn Corporation); Aman Gupta (LinkedIn Corporation); Licurgo Benemann De Almeida (LinkedIn Corporation) |
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models |
Xiaoyu Tan (INF Technology (Shanghai) Co., Ltd.); Leijun Cheng (School of Electronic and Electrical Engineering, Shanghai University of Engineering Science); Xihe Qiu (School of Electronic and Electrical Engineering, Shanghai University of Engineering Science); Shaojie Shi (School of Electronic and Electrical Engineering, Shanghai University of Engineering Science); Yuan Cheng (AI3 Institute, Fudan University); Wei Chu (INF Technology (Shanghai) Co., Ltd.); Yinghui Xu (AI3 Institute, Fudan University); Yuan Qi (AI3 Institute, Fudan University) |
Wednesday, August 28 11:00-13:00, Room 124-125
Theme: LLM Applications
Session Chair: TBD
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning |
Rui Ye (Shanghai Jiao Tong University); Wenhao Wang (Zhejiang University); Jingyi Chai (Shanghai Jiao Tong University); Dihan Li (University of Southern California); Zexi Li (Zhejiang University); Yinda Xu (Shanghai Jiao Tong University); Yaxin Du (Shanghai Jiao Tong University); Yanfeng Wang (Shanghai Jiao Tong University, Shanghai AI Laboratory); Siheng Chen (Shanghai Jiao Tong University, Shanghai AI Laboratory) |
Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy |
Yao Zhao (Ant Group); Zhitian Xie (Alibaba Group); Chen Liang (Hong Kong University of Science and Technology); Chenyi Zhuang (Ant Group); Jinjie Gu (Nanjing University) |
AutoWebGLM: A Large Language Model-based Web Navigating Agent |
Hanyu Lai (Tsinghua University); Xiao Liu (Tsinghua University, Zhipu AI); Iat Long Iong (Tsinghua University); Shuntian Yao (Beijing University of Posts and Telecommunications); Yuxuan Chen (Tsinghua University); Pengbo Shen (University of Chinese Academy of Sciences); Hao Yu (Tsinghua University); Hanchen Zhang (Tsinghua University); Xiaohan Zhang (Zhipu AI); Yuxiao Dong (Tsinghua University); Jie Tang (Tsinghua University) |
Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer Models |
Arnab Dutta (eBay GmbH); Gleb Polushin (eBay GmbH); Xiaoshuang Zhang (eBay Inc.); Daniel Stein (eBay GmbH) |
Lumos: Empowering Multimodal LLMs with Scene Text Recognition |
Ashish Shenoy (Reality Labs, Meta); Yichao Lu (Reality Labs, Meta); Srihari Jayakumar (Reality Labs, Meta); Debojeet Chatterjee (Reality Labs, Meta); Mohsen Moslehpour (Reality Labs, Meta); Pierce Chuang (Reality Labs, Meta); Abhay Harpale (Reality Labs, Meta); Vikas Bhardwaj (Reality Labs, Meta); Di Xu (Reality Labs, Meta); Shicong Zhao (Reality Labs, Meta); Longfang Zhao (Reality Labs, Meta); Ankit Ramchandani (Generative AI, Meta); Xin Dong (Reality Labs, Meta); Anuj Kumar (Reality Labs, Meta) |
Intelligent Agents with LLM-based Process Automation |
Yanchu Guan (Ant Group); Dong Wang (Ant Group); Zhixuan Chu (Zhejiang University); Shiyu Wang (Ant Group); Feiyue Ni (Renmin University of China); Ruihua Song (Renmin University of China); Chenyi Zhuang (Ant Group) |
Large Language Model with Curriculum Reasoning for Visual Concept Recognition |
Yipeng Zhang (DCST, Tsinghua University); Xin Wang (DCST, BNRist, Tsinghua University); Hong Chen (DCST, Tsinghua University); Jiapei Fan (Alibaba Group); Weigao Wen (Alibaba Group); Hui Xue (Alibaba Group); Hong Mei (MoE Lab, Peking University); Wenwu Zhu (DCST, BNRist, Tsinghua University) |
Wednesday, August 28 11:00-13:00, Room 127-128
Theme: E-Commerce Applications
Session Chair: TBD
Residual Multi-Task Learner for Applied Ranking |
Cong Fu (Shopee Pte. Ltd.); Kun Wang (Shopee Pte. Ltd.); Jiahua Wu (Shopee Pte. Ltd.); Yizhou Chen (Shopee Pte. Ltd.); Guangda Huzhang (Shopee Pte. Ltd.); Yabo Ni (Nanyang Technological University); Anxiang Zeng (SCSE, National Technological University); Zhiming Zhou (ECONCS, Shanghai University of Finance and Economics) |
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection |
Fei Xiao (National University of Singapore, Shopee Singapore); Shaofeng Cai (National University of Singapore); Gang Chen (Zhejiang University); H. V. Jagadish (University of Michigan); Beng Chin Ooi (National University of Singapore); Meihui Zhang (Beijing Institute of Technology) |
Tackling Concept Shift in Text Classification using Entailment-style Modeling |
Sumegh Roychowdhury (Amazon); Karan Gupta (Amazon); Siva Rajesh Kasa (Amazon); Prasanna Srinivasa Murthy (Amazon) |
Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising |
Baoshen Guo (Southeast University, JD Logistics); Xining Song (JD Logistics); Shuai Wang (Southeast University); Wei Gong (University of Science and Technology of China); Tian He (JD Logistics); Xue Liu (McGill University) |
Multi-objective Learning to Rank by Model Distillation |
Jie Tang (Airbnb); Huiji Gao (Airbnb); Liwei He (Airbnb); Sanjeev Katariya (Airbnb) |
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments |
Yile Liang (Meituan); Jiuxia Zhao (Meituan); Donghui Li (Meituan); Jie Feng (Tsinghua University); Chen Zhang (Tsinghua University); Xuetao Ding (Meituan); Jinghua Hao (Meituan); Renqing He (Meituan) |
Wednesday, August 28 14:00-16:00, Room 119
Theme: Scientific Applications
Session Chair: TBD
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting |
Ziqing Ma (DAMO Academy, Alibaba Group); Wenwei Wang (DAMO Academy, Alibaba Group); Tian Zhou (DAMO Academy, Alibaba Group); Chao Chen (DAMO Academy, Central South University); Bingqing Peng (DAMO Academy, Alibaba Group); Liang Sun (DAMO Academy, Alibaba Group); Rong Jin (DAMO Academy, Alibaba Group) |
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions |
Fudong Lin (University of Delaware); Kaleb Guillot (University of Louisiana at Lafeyette); Summer Crawford (University of Louisiana at Lafeyette); Yihe Zhang (University of Louisiana at Lafeyette); Xu Yuan (University of Delaware); Nian-Feng Tzeng (University of Louisiana at Lafeyette) |
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning |
Ulrik Friis-Jensen (Department of Chemistry, University of Copenhagen, Department of Computer Science, University of Copenhagen); Frederik L. Johansen (Department of Computer Science, University of Copenhagen, Department of Chemistry, University of Copenhagen); Andy S. Anker (Dept. of Energy Conversion & Storage, Technical University of Denmark, Department of Chemistry, University of Oxford); Erik B. Dam (Department of Computer Science, University of Copenhagen); Kirsten M. Ø. Jensen (Department of Chemistry, University of Copenhagen); Raghavendra Selvan (Department of Computer Science, University of Copenhagen) |
Decomposed Attention Segment Recurrent Neural Network for Orbit Prediction |
SeungWon Jeong (Sejong University); Soyeon Woo (Sejong University); Daewon Chung (National Satellite Operation Center Korea Aerospace Research Institute); Simon S. Woo (Sungkyunkwan University); Youjin Shin (The Catholic University of Korea) |
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps |
Yijun Lin (University of Minnesota, Twin Cities); Yao-Yi Chiang (University of Minnesota, Twin Cities) |
Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars |
Austin P. Wright (Georgia Tech); Scott Davidoff (California Institute of Technology, Jet Propulsion Laboratory); Duen Horng Chau (Georgia Tech) |
Wednesday, August 28 14:00-16:00, Room 124-125
Theme: Deep Learning in Healthcare
Session Chair: TBD
NudgeRank: Digital Algorithmic Nudging for Personalized Health |
Jodi Chiam (CueZen, Inc.); Aloysius Lim (CueZen, Inc.); Ankur Teredesai (CueZen, Inc., University of Washington) |
Towards Automatic Evaluation for LLMs’ Clinical Capabilities: Metric, Data, and Algorithm |
Lei Liu (The Chinese University of Hong Kong, Shenzhen); Xiaoyan Yang (Ant Group); Fangzhou Li (Renji Hospital); Chenfei Chi (Renji Hospital); Yue Shen (Ant Group); Shiwei Lyu (Ant Group); Ming Zhang (Renji Hospital); Xiaowei Ma (Renji Hospital); Xiangguo Lv (Renji Hospital); Liya Ma (Renji Hospital); Zhiqiang Zhang (Ant Group); Wei Xue (Renji Hospital); Yiran Huang (Renji Hospital); Jinjie Gu (Ant Group) |
RareBench: Can LLMs Serve as Rare Diseases Specialists? |
Xuanzhong Chen (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University); Xiaohao Mao (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University); Qihan Guo (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University); Lun Wang (Department of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College); Shuyang Zhang (Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College); Ting Chen (Department of Computer Science and Technology & Institute of Artificial Intelligence & BNRist, Tsinghua University) |
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns |
Zheyuan Zhang (University of Notre Dame); Zehong Wang (University of Notre Dame); Shifu Hou (University of Notre Dame); Evan Hall (University of Notre Dame); Landon Bachman (University of Notre Dame); Jasmine White (Purdue University); Vincent Galassi (University of Notre Dame); Nitesh V Chawla (University of Notre Dame); Chuxu Zhang (Brandeis University); Yanfang Ye (University of Notre Dame) |
Chromosomal Structural Abnormality Diagnosis by Homologous Similarity |
Juren Li (Zhejiang University); Fanzhe Fu (Zhejiang University); Ran Wei (Hangzhou Diagens Biotechnology Co., Ltd.); Yifei Sun (Zhejiang University); Zeyu Lai (Zhejiang University); Ning Song (Hangzhou Diagens Biotechnology Co., Ltd.); Xin Chen (Zhejiang University); Yang Yang (Zhejiang University) |
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information |
Aishwarya Jayagopal (National University of Singapore); Hansheng Xue (National University of Singapore); Ziyang He (National University of Singapore); Robert J. Walsh (National University Cancer Institute); Krishna Kumar Hariprasannan (National University of Singapore); David Shao Peng Tan (Cancer Science Institute of Singapore); Tuan Zea Tan (Cancer Science Institute of Singapore); Jason J. Pitt (Cancer Science Institute of Singapore); Anand D. Jeyasekharan (Cancer Science Institute of Singapore); Vaibhav Rajan (National University of Singapore) |
Wednesday, August 28 14:00-16:00, Room 127-128
Theme: Controlled Experimentation
Session Chair: TBD
Learning Metrics that Maximise Power for Accelerated A/B-Tests |
Olivier Jeunen (ShareChat); Aleksei Ustimenko (ShareChat) |
STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments |
Hao Zhou (State Key Laboratory for Novel Software Technology, Nanjing University, Meituan); Kun Sun (Meituan); Shaoming Li (Meituan); Yangfeng Fan (Meituan); Guibin Jiang (Meituan); Jiaqi Zheng (State Key Laboratory for Novel Software Technology, Nanjing University); Tao Li (Meituan) |
Choosing a Proxy Metric from Past Experiments |
Nilesh Tripuraneni (Google DeepMind); Lee Richardson (Google); Alexander D’Amour (Google DeepMind); Jacopo Soriano (Google); Steve Yadlowsky (Google DeepMind) |
Metric Decomposition in A/B Tests |
Alex Deng (Airbnb); Luke Hagar (University of Waterloo); Nathaniel T. Stevens (University of Waterloo); Tatiana Xifara (Airbnb); Amit Gandhi (University of Pennsylvania) |
Improving Ego-Cluster for Network Effect Measurement |
Wentao Su (LinkedIn Corporation); Weitao Duan (LinkedIn Corporation) |
Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash |
Yixin Tang (DoorDash, Inc.); Yicong Lin (DoorDash, Inc.); Navdeep S. Sahni (Stanford GSB) |
False Positives in A/B Tests |
Ron Kohavi (Kohavi); Nanyu Chen (Expedia Group) |
Wednesday, August 28 16:30-18:30, Room 119
Theme: Median and Social Networks
Session Chair: TBD
Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale |
Anmol Agarwal (International Institute of Information Technology); Pratyush Priyadarshi (International Institute of Information Technology); Shiven Sinha (International Institute of Information Technology); Shrey Gupta (International Institute of Information Technology); Hitkul Jangra (Indraprastha Institute of Information Technology); Ponnurangam Kumaraguru (International Institute of Information Technology); Kiran Garimella (Rutgers University) |
Leveraging Exposure Networks for Detecting Fake News Sources |
Maor Reuben (Software and Information Systems Engineering, Ben-Gurion University of the Negev); Lisa Friedland (Independent researcher); Rami Puzis (Software and Information Systems Engineering, Ben-Gurion University of the Negev); Nir Grinberg (Software and Information Systems Engineering, Ben-Gurion University of the Negev) |
LiRank: Industrial Large Scale Ranking Models at LinkedIn |
Fedor Borisyuk (LinkedIn); Mingzhou Zhou (LinkedIn); Qingquan Song (LinkedIn); Siyu Zhu (LinkedIn); Birjodh Tiwana (LinkedIn); Ganesh Parameswaran (LinkedIn); Siddharth Dangi (LinkedIn); Lars Hertel (LinkedIn); Qiang Charles Xiao (LinkedIn); Xiaochen Hou (LinkedIn); Yunbo Ouyang (LinkedIn); Aman Gupta (LinkedIn); Sheallika Singh (LinkedIn); Dan Liu (LinkedIn); Hailing Cheng (LinkedIn); Lei Le (LinkedIn); Jonathan Hung (LinkedIn); Sathiya Keerthi (LinkedIn); Ruoyan Wang (LinkedIn); Fengyu Zhang (LinkedIn); Mohit Kothari (LinkedIn); Chen Zhu (LinkedIn); Daqi Sun (LinkedIn); Yun Dai (LinkedIn); Xun Luan (LinkedIn); Sirou Zhu (LinkedIn); Zhiwei Wang (LinkedIn); Neil Daftary (LinkedIn); Qianqi Shen (LinkedIn); Chengming Jiang (LinkedIn); Haichao Wei (LinkedIn); Maneesh Varshney (LinkedIn); Amol Ghoting (LinkedIn); Souvik Ghosh (LinkedIn) |
DAG: Deep Adaptive and Generative $K$-Free Community Detection on Attributed Graphs |
Chang Liu (Shanghai Jiaotong University); Yuwen Yang (Shanghai Jiao Tong University); Yue Ding (Shanghai Jiao Tong University); Hongtao Lu (Shanghai Jiao Tong University); Wenqing Lin (Tencent); Ziming Wu (Tencent); Wendong Bi (Tencent) |
Source Localization for Cross Network Information Diffusion |
Chen Ling (Emory University); Tanmoy Chowdhury (George Mason University); Jie Ji (Emory University); Sirui Li (Emory University); Andreas Züfle (Emory University); Liang Zhao (Emory University) |
Wednesday, August 28 16:30-18:30, Room 124-125
Theme: Healthcare Applications
Session Chair: TBD
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing |
Changchang Yin (The Ohio State University); Pin-Yu Chen (IBM Research); Bingsheng Yao (Northeastern University); Dakuo Wang (Northeastern University); Jeffrey Caterino (The Ohio State University Wexner Medical Center); Ping Zhang (The Ohio State University) |
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization |
Bao Hoang (Michigan State University); Yijiang Pang (Michigan State University); Siqi Liang (Michigan State University); Liang Zhan (University of Pittsburgh); Paul M. Thompson (University of Southern California); Jiayu Zhou (Michigan State University) |
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data |
Ziyang Zhang (Emory University); Hejie Cui (Emory University); Ran Xu (Emory University); Yuzhang Xie (Emory University); Joyce C. Ho (Emory University); Carl Yang (Emory University) |
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs |
Navid Mohammadi Foumani (Monash University); Geoffrey Mackellar (Macquarie University, Emotiv Research); Soheila Ghane (Emotiv Research); Saad Irtza (Emotiv Research); Nam Nguyen (Emotiv Research); Mahsa Salehi (Monash University) |
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation |
Qilong Zhao (Emory University); Yifei Zhang (Emory University); Mengdan Zhu (Emory University); Siyi Gu (Stanford University); Yuyang Gao (The Home Depot); Xiaofeng Yang (Emory University); Liang Zhao (Emory University) |
Wednesday, August 28 16:30-18:30, Room 127-128
Theme: Causal Modeling
Session Chair: TBD
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization |
Hao Zhou (State Key Laboratory for Novel Software Technology, Nanjing University, Meituan); Rongxiao Huang (State Key Laboratory for Novel Software Technology, Nanjing University); Shaoming Li (Meituan); Guibin Jiang (Meituan); Jiaqi Zheng (State Key Laboratory for Novel Software Technology, Nanjing University); Bing Cheng (Meituan); Wei Lin (Meituan) |
Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space |
Zhe Xie (BNRist, Tsinghua University); Shenglin Zhang (Nankai University); Yitong Geng (eBay Inc.); Yao Zhang (eBay Inc.); Minghua Ma (Microsoft); Xiaohui Nie (Computer Network Information Center, Chinese Academy of Sciences); Zhenhe Yao (BNRist, Tsinghua University); Longlong Xu (BNRist, Tsinghua University); Yongqian Sun (BNRist, Nankai University); Wentao Li (eBay Inc.); Dan Pei (BNRist, Tsinghua University) |
Causal Machine Learning for Cost-Effective Allocation of Development Aid |
Milan Kuzmanovic (ETH Zurich); Dennis Frauen (Munich Center for Machine Learning & LMU Munich); Tobias Hatt (ETH Zurich); Stefan Feuerriegel (Munich Center for Machine Learning & LMU Munich) |
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model |
Abhimanyu Mukerji (Amazon); Sushant More (Amazon); Ashwin Viswanathan Kannan (Amazon); Lakshmi Ravi (Amazon); Hua Chen (Amazon); Naman Kohli (Amazon); Chris Khawand (Amazon); Dinesh Mandalapu (Amazon) |
Thursday, August 29 11:00-13:00, Room 119
Theme: Urban Mobility
Session Chair: TBD
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction |
Wenzhao Jiang (The Hong Kong University of Science and Technology (Guangzhou)); Jindong Han (The Hong Kong University of Science and Technology); Hao Liu (The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology); Tao Tao (Didichuxing Co. Ltd); Naiqiang Tan (Didichuxing Co. Ltd); Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou), The Hong Kong University of Science and Technology) |
TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records |
Dongen Wu (Zhejiang University); Ziquan Fang (Zhejiang University); Qichen Sun (Zhejiang University); Lu Chen (Zhejiang University); Haiyang Hu (Zhejiang University); Fei Wang (Zhejiang University); Yunjun Gao (Zhejiang University) |
DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation |
Deguo Xia (Tsinghua University, Baidu Inc.); Weiming Zhang (Baidu Inc.); Xiyan Liu (Baidu Inc.); Wei Zhang (Baidu Inc.); Chenting Gong (Baidu Inc.); Jizhou Huang (Baidu Inc.); Mengmeng Yang (Tsinghua University); Diange Yang (Tsinghua University) |
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems |
Taeyoung Yun (KAIST); Kanghoon Lee (KAIST); Sujin Yun (KAIST); Ilmyung Kim (Korea Telecom); Won-Woo Jung (Korea Telecom); Min-Cheol Kwon (Korea Telecom); Kyujin Choi (Korea Telecom); Yoohyeon Lee (Korea Telecom); Jinkyoo Park (KAIST) |
FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction |
Linghua Yang (SKLCCSE Lab, Beihang University); Wantong Chen (SKLCCSE Lab, Beihang University); Xiaoxi He (Faculty of Science and Technology, University of Macau); Shuyue Wei (SKLCCSE Lab, Beihang University); Yi Xu (SKLCCSE Lab, Institute of Artificial Intelligence, Beihang University); Zimu Zhou (School of Data Science, City University of Hong Kong); Yongxin Tong (SKLCCSE Lab, Beihang University) |
PEMBOT: Pareto-Ensembled Multi-task Boosted Trees |
Gokul Swamy (International Machine Learning, Amazon); Anoop Saladi (International Machine Learning, Amazon); Arunita Das (International Machine Learning, Amazon); Shobhit Niranjan (International Machine Learning, Amazon) |
Thursday, August 29 11:00-13:00, Room 124-125
Theme: Fintech
Session Chair: TBD
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification |
Lele Cao (Motherbrain, EQT Group); Vilhelm von Ehrenheim (Motherbrain, EQT Group, QA.tech); Mark Granroth-Wilding (Motherbrain, EQT Group, Silo AI); Richard Anselmo Stahl (Motherbrain, EQT Group); Andrew McCornack (Motherbrain, EQT Group); Armin Catovic (Motherbrain, EQT Group); Dhiana Deva Cavalcanti Rocha (Motherbrain, EQT Group) |
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications |
Chengyao Wen (Ant Group); Yin Lou (Ant Group) |
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English |
Xiao Zhang (The Fin AI); Ruoyu Xiang (The Fin AI); Chenhan Yuan (The University of Manchester); Duanyu Feng (Sichuan University); Weiguang Han (Wuhan University); Alejandro Lopez-Lira (University of Florida); Xiao-Yang Liu (Columbia University); Meikang Qiu (Augusta University); Sophia Ananiadou (Department of Computer Science, The University of Manchester, Artificial Intelligence Research Centre); Min Peng (Wuhan University); Jimin Huang (The Fin AI); Qianqian Xie (The Fin AI) |
Learning to Bid the Interest Rate in Online Unsecured Personal Loans |
Dong Jun Jee (PFC Technologies); Seung Jung Jin (PFC Technologies); Ji Hoon Yoo (PFC Technologies); Byunggyu Ahn (PFC Technologies) |
COMET: NFT Price Prediction with Wallet Profiling |
Tianfu Wang (School of Computer Science and Technology, University of Science and Technology of China); Liwei Deng (Microsoft Inc.); Chao Wang (School of Artificial Intelligence and Data Science, University of Science and Technology of China); Jianxun Lian (Microsoft Research Asia); Yue Yan (Microsoft Inc.); Nicholas Jing Yuan (Microsoft Inc.); Qi Zhang (Microsoft Inc.); Hui Xiong (Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Department of Computer Science and Engineering, The Hong Kong University of Science and Technology) |
Know, Grow, Protect: Using ML for Asset Protection by preventing Overdraft Fees |
Avishek Kumar (Intuit CreditKarma); Tyson Silver (Lightcast) |
FNSPID: A Comprehensive Financial News Dataset in Time Series |
Zihan Dong (North Carolina State University); Xinyu Fan (SiChuan University); Zhiyuan Peng (North Carolina State University) |
Thursday, August 29 11:00-13:00, Room 127-128
Theme: Recommendations for E-Commerce
Session Chair: TBD
Contextual Distillation Model for Diversified Recommendation |
Fan Li (University of Science and Technology of China); Xu Si (Tsinghua University); Shisong Tang (Kuaishou Inc., Tsinghua University); Dingmin Wang (University of Oxford); Kunyan Han (Kuaishou Inc.); Bing Han (Kuaishou Inc.); Guorui Zhou (Kuaishou Inc.); Yang Song (Kuaishou Inc.); Hechang Chen (Jilin University) |
Modeling User Retention through Generative Flow Networks |
Ziru Liu (City University of Hong Kong); Shuchang Liu (Kuaishou Technology); Bin Yang (Kuaishou Technology); Zhenghai Xue (Nanyang Technological University); Qingpeng Cai (Kuaishou Technology); Xiangyu Zhao (City University of Hong Kong); Zijian Zhang (City University of Hong Kong); Lantao Hu (Kuaishou Technology); Han Li (Kuaishou Technology); Peng Jiang (Kuaishou Technology) |
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks |
Yijie Zhang (Jinan University); Yuanchen Bei (Zhejiang University); Hao Chen (The Hong Kong Polytechnic University); Qijie Shen (Alibaba Group); Zheng Yuan (The Hong Kong Polytechnic University); Huan Gong (National University of Defense Technology); Senzhang Wang (Central South University); Feiran Huang (Jinan University); Xiao Huang (The Hong Kong Polytechnic University) |
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation |
Zhicheng An (Ant Group); Zhexu Gu (Ant Group); Li Yu (Ant Group); Ke Tu (Ant Group); Zhengwei Wu (Ant Group); Binbin Hu (Ant Group); Zhiqiang Zhang (Ant Group); Lihong Gu (Ant Group); Jinjie Gu (Ant Group) |
Non-autoregressive Generative Models for Reranking Recommendation |
Yuxin Ren (Kuaishou Technology); Qiya Yang (Peking University); Yichun Wu (Tsinghua University); Wei Xu (Kuaishou Technology); Yalong Wang (Kuaishou Technology); Zhiqiang Zhang (Kuaishou Technology) |
Multi-Task Neural Linear Bandit for Exploration in Recommender Systems |
Yi Su (Google Deepmind); Haokai Lu (Google Deepmind); Yuening Li (Google); Liang Liu (Google); Shuchao Bi (Google); Ed H. Chi (Google Deepmind); Minmin Chen (Google Deepmind) |
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation |
Xiaochen Wang (Pennsylvania State University); Xiao Xiao (Instacart); Ruhan Zhang (Instacart); Xuan Zhang (Instacart); Taesik Na (Instacart); Tejaswi Tenneti (Instacart); Haixun Wang (Instacart); Fenglong Ma (Pennsylvania State University) |
Thursday, August 29 14:00-16:00, Room 119
Theme: Intelligent Resource Management
Session Chair: TBD
Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction |
Yang Luo (Shanghai Jiao Tong University); Mohan Gao (Shanghai Jiao Tong University); Zhemeng Yu (Shanghai Jiao Tong University); Haoyuan Ge (Ant Group); Xiaofeng Gao (Shanghai Jiao Tong University); Tengwei Cai (Ant Group); Guihai Chen (Shanghai Jiao Tong University) |
BacktrackSTL: Ultra-Fast Online Seasonal-Trend Decomposition with Backtrack Technique |
Haoyu Wang (Alibaba Group); Hongke Guo (Alibaba Group); Zhaoliang Zhu (Alibaba Group); You Zhang (Alibaba Group); Yu Zhou (Alibaba Group); Xudong Zheng (Alibaba Group) |
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training |
Haonan Chen (Renmin University of China); Zhicheng Dou (Renmin University of China); Xuetong Hao (Huawei Cloud Computing); Yunhao Tao (Renmin University of China); Shiren Song (Renmin University of China); Zhenli Sheng (Huawei Cloud Computing) |
Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction |
Lingfei Deng (Alibaba Cloud, Alibaba Group); Yunong Wang (Alibaba Cloud, Alibaba Group); Haoran Wang (Huazhong University of Science and Technology); Xuhua Ma (Alibaba Cloud, Alibaba Group); Xiaoming Du (Alibaba Cloud, Alibaba Group); Xudong Zheng (Alibaba Cloud, Alibaba Group); Dongrui Wu (Huazhong University of Science and Technology) |
MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing Systems |
Xianting Lu (Zhejiang University); Yunong Wang (Alibaba Cloud, Alibaba Group); Yu Fu (Lanzhou University, Zhejiang University); Qi Sun (Zhejiang University); Xuhua Ma (Alibaba Cloud, Alibaba Group); Xudong Zheng (Alibaba Cloud, Alibaba Group); Cheng Zhuo (Zhejiang University) |
Beimingwu: A Learnware Dock System |
Zhi-Hao Tan (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Jian-Dong Liu (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Xiao-Dong Bi (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Peng Tan (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Qin-Cheng Zheng (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Hai-Tian Liu (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Yi Xie (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Xiao-Chuan Zou (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Yang Yu (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University); Zhi-Hua Zhou (National Key Laboratory for Novel Software Technology, Nanjing University, School of Artificial Intelligence, Nanjing University) |
Thursday, August 29 14:00-16:00, Room 124-125
Theme: Generative AI Applications
Session Chair: TBD
Xinyu: An Efficient LLM-based System for Commentary Generation |
Yiquan Wu (Zhejiang University); Bo Tang (Institute for Advanced Algorithms Research); Chenyang Xi (Institute for Advanced Algorithms Research); Yu Yu (Institute for Advanced Algorithms Research); Pengyu Wang (Northeastern University); Yifei Liu (Zhejiang University); Kun Kuang (Zhejiang University); Haiying Deng (State Key Laboratory of Media Convergence Production Technology and Systems); Zhiyu Li (Institute for Advanced Algorithms Research); Feiyu Xiong (Institute for Advanced Algorithms Research); Jie Hu (Research Institute of China Telecom); Peng Cheng (State Key Laboratory of Media Convergence Production Technology and Systems); Zhonghao Wang (State Key Laboratory of Media Convergence Production Technology and Systems); Yi Wang (State Key Laboratory of Media Convergence Production Technology and Systems); Yi Luo (State Key Laboratory of Media Convergence Production Technology and Systems); Mingchuan Yang (Research Institute of China Telecom) |
Large Scale Generative AI Text Applied to Sports and Music |
Aaron Baughman (IBM); Eduardo Morales (IBM); Rahul Agarwal (IBM); Gozde Akay (IBM); Rogerio Feris (IBM); Tony Johnson (IBM); Stephen Hammer (IBM); Leonid Karlinsky (IBM) |
GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security |
Xuanqing Liu (Amazon Web Services); Runhui Wang (Amazon Web Services); Yang Song (Amazon Web Services); Luyang Kong (Amazon Web Services) |
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning |
Bingchang Liu (Ant Group); Chaoyu Chen (Ant Group); Zi Gong (Ant Group); Cong Liao (Ant Group); Huan Wang (Ant Group); Zhichao Lei (Ant Group); Ming Liang (Ant Group); Dajun Chen (Ant Group); Min Shen (Ant Group); Hailian Zhou (Ant Group); Wei Jiang (Ant Group); Hang Yu (Ant Group); Jianguo Li (Ant Group) |
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants |
Sophie Fischer (University of Edinburgh); Carlos Gemmell (University of Glasgow); Niklas Tecklenburg (University of Glasgow); Iain Mackie (University of Glasgow); Federico Rossetto (University of Glasgow); Jeffrey Dalton (University of Edinburgh) |
TnT-LLM: Text Mining at Scale with Large Language Models |
Mengting Wan (Microsoft Corporation); Tara Safavi (Microsoft Corporation); Sujay Kumar Jauhar (Microsoft Corporation); Yujin Kim (Microsoft Corporation); Scott Counts (Microsoft Corporation); Jennifer Neville (Microsoft Corporation); Siddharth Suri (Microsoft Corporation); Chirag Shah (University of Washington); Ryen W. White (Microsoft Corporation); Longqi Yang (Microsoft Corporation); Reid Andersen (Microsoft Corporation); Georg Buscher (Microsoft Corporation); Dhruv Joshi (Microsoft Corporation); Nagu Rangan (Microsoft Corporation) |
Thursday, August 29 14:00-16:00, Room 127-128
Theme: Search and Ranking
Session Chair: TBD
Enhancing Asymmetric Web Search through Question-Answer Generation and Ranking |
Dezhi Ye (Tencent PCG); Jie Liu (Tencent PCG); Jiabin Fan (Tencent PCG); Bowen Tian (Tencent PCG); Tianhua Zhou (Tencent PCG); Xiang Chen (Tencent PCG); Jin Ma (Tencent PCG) |
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation |
Yuting Zhang (Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Ruidong Han (Meituan); Ying Sun (Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou)); Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences); Xiang Li (Meituan); Wei Lin (Meituan); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, Zhongguancun Laboratory); Zhulin An (Institute of Computing Technology, Chinese Academy of Sciences); Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences) |
Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach |
Yuqi Zhang (Harbin Institute of Technology); Meiying Kang (Soochow University); Xiucheng Li (Harbin Institute of Technology); Yu Qiu (Independent); Zhijun Li (Harbin Institute of Technology) |
A Self-boosted Framework for Calibrated Ranking |
Shunyu Zhang (Kuaishou Technology); Hu Liu (Kuaishou Technology); Wentian Bao (Columbia University); Yun Yu (Northeasten University); Yang Song (Kuaishou Technology) |
Inductive Modeling for Realtime Cold Start Recommendations |
Chandler Zuo (Meta); Jonathan Castaldo (Meta); Hanqing Zhu (Meta); Haoyu Zhang (Meta); Ji Liu (Meta); Yangpeng Ou (Meta); Xiao Kong (Meta) |
Learning to Rank for Maps at Airbnb |
Malay Haldar (Airbnb, Inc.); Hongwei Zhang (Airbnb, Inc.); Kedar Bellare (Airbnb, Inc.); Sherry Chen (Airbnb, Inc.); Soumyadip Banerjee (Airbnb, Inc.); Xiaotang Wang (Airbnb, Inc.); Mustafa Abdool (Airbnb, Inc.); Huiji Gao (Airbnb, Inc.); Pavan Tapadia (Airbnb, Inc.); Liwei He (Airbnb, Inc.); Sanjeev Katariya (Airbnb, Inc.) |
Text Matching Indexers in Taobao Search |
Sen Li (Alibaba Group); Fuyu Lv (Alibaba Group); Ruqing Zhang (CAS Key Lab of Network Data Science and Technology, ICT, CAS); Ou Dan (Alibaba Group); Zhixuan Zhang (Alibaba Group); Maarten Rijke (University of Amsterdam) |