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)