Applied Papers

• Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus ‐ Yun-Da Tsai (National Taiwan University, Taiwan Roc), ChengKuan Chen (National Taiwan University, Taiwan Roc), Shou-De Lin (National Taiwan University, Taiwan Roc)
• Learning to Bundle Proactively for On-Demand Meal Delivery ‐ Chengbo Li (Alibaba Group, China), Lin Zhu (Alibaba Group, China), Guangyuan Fu (Alibaba Group, China), Longzhi Du (Alibaba Group, China), Canhua Zhao (Alibaba Group, China), Tianlun Ma (Alibaba Group, China), Chang Ye (Alibaba Group, China), Pei Lee (Alibaba Group, China)
• From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry ‐ Roee Shraga (Technion, Israel), Gil Katz (Afimilk, Israel), Yael Badian (Technion, Israel), Nitay Calderon (Technion, Israel), Avigdor Gal (Technion, Israel)
• 'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds ‐ Zihao Wang (Ant Group, China), Fudong Wang (Ant Group, China), Haipeng Zhang (ShanghaiTech University, China), Minghui Yang (Ant Group, China), Shaosheng Cao (Ant Group, China), Zujie Wen (Ant Group, China), Zhe Zhang (Ant Group, China)
• Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval ‐ Peiyang Liu (Peking University, China), Xi Wang (PX Securities, China), Lin Wang (PX Securities, China), Wei Ye (Peking University, China), Xiangyu Xi (Peking University, China), Shikun Zhang (Peking University, China)
• ARGH!: Automated Rumor Generation Hub ‐ Larry Huynh (University of Western Australia, Australia), Thai Nguyen (University of Western Australia, Australia), Joshua Goh (University of Western Australia, Australia), Hyoungshick Kim (Sungkyunkwan University, Republic of Korea), Jin B. Hong (University of Western Australia, Australia)
• Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series ‐ Shuming Liang (University of Technology Sydney, Australia), Zhidong Li (University of Technology Sydney, Australia), Bin Liang (University of Technology Sydney, Australia), Yu Ding (University of Wollongong, Australia), Yang Wang (University of Technology Sydney, Australia), Fang Chen (University of Technology Sydney, Australia)
• Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture ‐ Guy Barshatski (Technion - Israel Institute of Technology, Israel), Galia Nordon (Technion - Israel Institute of Technology, Israel), Kira Radinsky (Technion - Israel Institute of Technology, Israel)
• Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models ‐ Bo Chen (Huawei Noah’s Ark Lab, China), Yichao Wang (Huawei Noah’s Ark Lab, China), Zhirong Liu (Huawei Noah’s Ark Lab, China), Ruiming Tang (Huawei Noah’s Ark Lab, China), Wei Guo (Huawei Noah’s Ark Lab, China), Hongkun Zheng (Huawei Technologies Co Ltd, China), Weiwei Yao (Huawei Technologies Co Ltd, China), Muyu Zhang (Huawei Technologies Co Ltd, China), Xiuqiang He (Huawei Noah’s Ark Lab, China)
• Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB ‐ Jianchuan Li (University of Science and Technology of China, China), Peiquan Jin (University of Science and Technology of China, China), Yuanjin Lin (ByteDance Inc., China), Ming Zhao (ByteDance Inc., China), Yi Wang (University of Science and Technology of China, China), Kuankuan Guo (ByteDance Inc., China)
• Prohibited Item Detection on Heterogeneous Risk Graphs ‐ Yugang Ji (Beijing University of Posts and Telecommunications, China), Chuan Shi (Beijing University of Posts and Telecommunications, China), Xiao Wang (Beijing University of Posts and Telecommunications, China)
• Scalable Learning to Troubleshoot Query Performance Problems ‐ Alexandar Mihaylov (Ontario Tech University & IBM CAS, Canada), Vincent Corvinelli (IBM Ltd., Canada), Parke Godfrey (York University & IBM CAS, Canada), Piotr Mierzejewski (IBM Ltd., Canada), Jaroslaw Szlichta (Ontario Tech University & IBM CAS, Canada), Calisto Zuzarte (IBM Ltd., Canada)
• From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction ‐ Ryan A. Rossi (Adobe Research, USA), Anup Rao (Adobe Research, USA), Sungchul Kim (Adobe Research, USA), Eunyee Koh (Adobe Research, USA), Nesreen K. Ahmed (Intel Labs, USA), Gang Wu (Adobe Research, USA)
• EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications ‐ Minghui Qiu (Alibaba Group, China), Peng Li (Alibaba Group, China), Chengyu Wang (Alibaba Group, China), Haojie Pan (Alibaba Group, China), Ang Wang (Alibaba Group, China), Cen Chen (Alibaba Group, China), Xianyan Jia (Alibaba Group, China), Yaliang Li (Alibaba Group, China), Jun Huang (Alibaba Group, China), Deng Cai (Zhejiang University, China), Wei Lin (Alibaba Group, China)
• Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies ‐ Zhengqi Xu (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yixuan Cao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Rongyu Cao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Guoxiang Li (Beijing Paoding Technology Co., LTD., China), Xuanqiang Liu (Beijing Paoding Technology Co., LTD., China), Yan Pang (Beijing Paoding Technology Co., LTD., China), Yangbin Wang (Beijing Paoding Technology Co., LTD., China), Jianfei Zhang (Beijing Paoding Technology Co., LTD., China), Allie Cheung (Hong Kong Exchanges and Clearing Limited, China), Matthew Tam (Hong Kong Exchanges and Clearing Limited, China), Lukas Petrikas (Hong Kong Exchanges and Clearing Limited, China), Ping Luo (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
• GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps ‐ Yibo Sun (Baidu Inc., China), Jizhou Huang (Baidu Inc., China), Chunyuan Yuan (Baidu Inc., China), Miao Fan (Baidu Inc., China), Haifeng Wang (Baidu Inc., China), Ming Liu (Harbin Institute of Technology, China), Bing Qin (Harbin Institute of Technology, China)
• Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem ‐ Qianwen Zhu (Nanjing University, China), Xihan Li (University College London, United Kingdom), Zihan Zhang (Huawei Noah’s Ark Lab, China), Zhixing Luo (Nanjing University, China), Xialiang Tong (Huawei Noah’s Ark Lab, China), Mingxuan Yuan (Huawei Noah’s Ark Lab, China), Jia Zeng (Huawei Noah’s Ark Lab, China)
• Crawler Detection in Location-Based Services Using Attributed Action Net ‐ Wei Xia (Alibaba Group, China), Fei Zhao (Alibaba Group, China), Haishuai Wang (Fairfield University, USA), Peng Zhang (Guangzhou University, China), Anhui Wang (Alibaba Group, China), Kang Li (Alibaba Group, China)
• Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation ‐ Ruobing Xie (WeChat, Tencent, China), Shaoliang Zhang (WeChat, Tencent, China), Rui Wang (WeChat, Tencent, China), Feng Xia (WeChat, Tencent, China), Leyu Lin (WeChat, Tencent, China)
• Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach ‐ Shuang Wu (Huawei Noah's Ark Lab, China), Zhen Qin (Huawei Noah's Ark Lab, China), Zhen Wang (Huawei Noah's Ark Lab, China), Siwei Rao (Huawei Noah's Ark Lab, China), Qiang Ye (Huawei Noah's Ark Lab, China), Xingyue Quan (Huawei Noah's Ark Lab, China), Guangjian Tian (Huawei Noah's Ark Lab, China)
• Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation ‐ Kunxun Qi (Sun Yat-sen University&Tencent, China), Ruoxu Wang (Tencent, China), Qikai Lu (University of Alberta, Canada), Xuejiao Wang (Tencent, China), Ning Jing (Tencent, China), Di Niu (University of Alberta, Canada), Haolan Chen (Tencent, China)
• Self-Supervised Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce ‐ Yulong Gu (Alibaba Group, China), Wentian Bao (Alibaba Group, China), Dan Ou (Alibaba Group, China), Xiang Li (Alibaba Group, China), Baoliang Cui (Alibaba Group, China), Biyu Ma (Alibaba Group, China), Haikuan Huang (Alibaba Group, China), Qingwen Liu (Alibaba Group, China), Xiaoyi Zeng (Alibaba Group, China)
• Influence Maximization in Multi-Relational Social Networks ‐ Wei Wang (Tencent Inc. China, China), Haili Yang (Tencent Inc. China, China), Yuanfu Lu (Tencent Inc. China, China), Yuanhang Zou (Tencent Inc. China, China), Xu Zhang (Tencent Inc. China, China), Shuting Guo (Tencent Inc. China, China), Leyu Lin (Tencent Inc. China, China)
• Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching ‐ Zongtao Liu (Alibaba Group, China), Bin Ma (Alibaba Group, China), Quan Liu (Alibaba Group, China), Jian Xu (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
• AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening ‐ Ermal Toto (Worcester Polytechnic Institute, USA), ML Tlachac (Worcester Polytechnic Institute, USA), Elke A. Rundensteiner (Worcester Polytechnic Institute, USA)
• SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection ‐ Shangbin Feng (Xi'an Jiaotong University, China), Herun Wan (Xi'an Jiaotong University, China), Ningnan Wang (Xi'an Jiaotong University, China), Jundong Li (University of Virginia, USA), Minnan Luo (Xi'an Jiaotong University, China), Qinghua Zheng (Xi'an Jiaotong University, China)
• TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity ‐ Shaunak Mishra (Yahoo Research, USA), Changwei Hu (Yahoo Research, USA), Manisha Verma (Yahoo Research, USA), Kevin Yen (Yahoo Research, USA), Yifan Hu (Yahoo Research, USA), Maxim Sviridenko (Yahoo Research, USA)
• Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs ‐ Lei Cai (Washington State University, USA), Zhengzhang Chen (NEC Laboratories America, Inc., USA), Chen Luo (Amazon, Inc., USA), Jiaping Gui (Stellar Cyber, Inc., USA), Jingchao Ni (NEC Laboratories America, Inc., USA), Ding Li (Peking University, China), Haifeng Chen (NEC Laboratories America, Inc., USA)
• Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach ‐ Chuanbo Hu (West Virginia University, USA), Minglei Yin (West Virginia University, USA), Bin Liu (West Virginia University, USA), Xin Li (West Virginia University, USA), Yanfang Ye (Case Western Reserve University & University of Notre Dame, USA)
• K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering ‐ Fu Sun (Alibaba Group, China), Feng-Lin Li (Alibaba Group, China), Ruize Wang (Fudan University, China), Qianglong Chen (Alibaba Group, China), Xingyi Cheng (Alibaba Group, China), Ji Zhang (Alibaba Group, China)
• Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task ‐ Patrice Lopez (science-miner, France), Caifan Du (University of Texas at Austin, USA), Johanna Cohoon (University of Texas at Austin, USA), Karthik Ram (Berkeley Institute for Data Science, USA), James Howison (University of Texas at Austin, USA)
• WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia ‐ Mykola Trokhymovych (Ukrainian Catholic University, Ukraine), Diego Saez-Trumper (Wikimedia Foundation, Spain)
• Contextual Skill Proficiency via Multi-task Learning at LinkedIn ‐ Xiao Yan (LinkedIn, USA), Ada Ma (LinkedIn, USA), Jaewon Yang (LinkedIn, USA), Lin Zhu (LinkedIn, USA), How Jing (LinkedIn, USA), Jacob Bollinger (LinkedIn, USA), Qi He (LinkedIn, USA)
• Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search ‐ Keith G. Mills (University of Alberta, Canada), Fred X. Han (Huawei Technologies, Canada), Jialin Zhang (Huawei Kirin Solution, China), Seyed Saeed Changiz Rezaei (Huawei Technologies, Canada), Fabian Chudak (Huawei Technologies, Canada), Wei Lu (Huawei Technologies, Canada), Shuo Lian (Huawei Kirin Solution, China), Shangling Jui (Huawei Kirin Solution, China), Di Niu (University of Alberta, Canada)
• On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation ‐ Wenzhuo Yang (Salesforce Research, Singapore), Jia Li (Salesforce Research, USA), Chenxi Li (Salesforce Sales Intelligence, USA), Latrice Barnett (Salesforce, USA), Markus Anderle (Salesforce Sales Intelligence, USA), Simo Arajarvi (Salesforce Sales Intelligence, USA), Harshavardhan Utharavalli (Salesforce Sales Intelligence, India), Caiming Xiong (Salesforce Research, USA), Steven HOI (Salesforce Research, Singapore)
• HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting ‐ Shun Zheng (Microsoft Research, China), Zhifeng Gao (Microsoft Research, China), Wei Cao (Microsoft Research, China), Jiang Bian (Microsoft Research, China), Tie-Yan Liu (Microsoft Research, China)
• Unsupervised Categorical Representation Learning for Package Arrival Time Prediction ‐ Yang Li (Alibaba Group, China), Xingyu Wu (Alibaba Group, China), Jinglong Wang (Alibaba Group, China), Yong Liu (Alibaba-NTU Singapore Joint Research Institute, Singapore), Xiaoqing Wang (Alibaba Group, China), Yuming Deng (Alibaba Group, China), Chunyan Miao (Nanyang Technological University, Singapore)
• From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog ‐ Pranay Dugar (Walmart Global Tech, India), Rajesh Shreedhar Bhat (Walmart Global Tech, India), Asit Sharad Tarsode (Walmart Global Tech, India), Uddipto Dutta (Walmart Global Tech, India), Kunal Banerjee (Walmart Global Tech, India), Anirban Chatterjee (Walmart Global Tech, India), Vijay Srinivas Agneeswaran (Walmart Global Tech, India)
• Cascaded Deep Neural Ranking Models in LinkedIn People Search ‐ Zimeng Yang (LinkedIn Corporation, USA), Song Yan (LinkedIn Corporation, USA), Abhimanyu Lad (LinkedIn Corporation, USA), Xiaowei Liu (LinkedIn Corporation, USA), Weiwei Guo (LinkedIn Corporation, USA)
• AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining ‐ Min Du (Palo Alto Networks, USA), Wenjun Hu (Palo Alto Networks, USA), William Hewlett (Palo Alto Networks, USA)
• One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction ‐ Xiang-Rong Sheng (Alibaba Group, China), Liqin Zhao (Alibaba Group, China), Guorui Zhou (Alibaba Group, China), Xinyao Ding (Alibaba Group, China), Binding Dai (Alibaba Group, China), Qiang Luo (Alibaba Group, China), Siran Yang (Alibaba Group, China), Jingshan Lv (Alibaba Group, China), Chi Zhang (Alibaba Group, China), Hongbo Deng (Alibaba Group, China), Xiaoqiang Zhu (Alibaba Group, China)
• CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms ‐ Yingying Zhang (Alibaba Group, China), Zhengxiong Guan (Alibaba Group, China), Huajie Qian (Alibaba Group, China), Leili Xu (Alibaba Group, China), Hengbo Liu (Alibaba Group, China), Qingsong Wen (Alibaba Group, China), Liang Sun (Alibaba Group, China), Junwei Jiang (Alibaba Group, China), Lunting Fan (Alibaba Group, China), Min Ke (Alibaba Group, China)
• CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation ‐ Xu Xie (Peking University, China), Zhaoyang Liu (Alibaba Group, China), Shiwen Wu (Peking University, China), Fei Sun (Alibaba Group, China), Cihang Liu (Alibaba Group, China), Jiawei Chen (University of Science and Technology of China, China), Jinyang Gao (Alibaba Group, China), Bin Cui (Peking University, China), Bolin Ding (Alibaba Group, USA)
• Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation ‐ Haishuai Wang (Alibaba Group, Fairfield University, China), Zhao Li (Alibaba Group, China), Xuanwu Liu (Alibaba Group, China), Donghui Ding (Alibaba Group, China), Zehong Hu (Alibaba Group, China), Peng Zhang (Guangzhou University, China), Chuan Zhou (Chinese Academy of Sciences, China), Jiajun Bu (Zhejiang University, China)
• Sequential Search with Off-Policy Reinforcement Learning ‐ Dadong Miao (JD.com, China), Yanan Wang (JD.com, China), Guoyu Tang (JD.com, China), Lin Liu (JD.com, China), Sulong Xu (JD.com, China), Bo Long (JD.com, USA), Yun Xiao (JD.com Silicon Valley R&D Center, USA), Lingfei Wu (JD.com Silicon Valley R&D Center, USA), Yunjiang Jiang (JD.com Silicon Valley R&D Center, USA)
• Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation ‐ Shuqing Bian (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China), Wayne Xin Zhao (Renmin University of China &#38 Beijing Key Laboratory of Big Data Management and Analysis Methods, China), Kun Zhou (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China), Jing Cai (Tencent, China), Yancheng He (Tencent, China), Cunxiang Yin (Tencent, China), Ji-Rong Wen (Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, China)
• Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising ‐ Xin Wang (Baidu Research, China), Peng Yang (Baidu Research, USA), Shaopeng Chen (Baidu Sponsored Search (Phoenix Nest), China), Lin Liu (Baidu Sponsored Search (Phoenix Nest), China), Lian Zhao (Baidu Sponsored Search (Phoenix Nest), China), Jiacheng Guo (Baidu Sponsored Search (Phoenix Nest), China), Mingming Sun (Baidu Research, China), Ping Li (Baidu Research, USA)
• Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations ‐ Haojie Pan (Alibaba Group, China), Cen Chen (East China Normal University, China), Chengyu Wang (Alibaba Group, China), Minghui Qiu (Alibaba Group, Singapore), Liu Yang (University of Massachusetts at Amherst, USA), Feng Ji (Alibaba Group, China), Jun Huang (Alibaba Group, China)
• Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization ‐ Xihan Li (University College London, United Kingdom), Xiongwei Han (Huawei Noah's Ark Lab, China), Zhishuo Zhou (Fudan University, China), Mingxuan Yuan (Huawei Noah's Ark Lab, China), Jia Zeng (Huawei Noah's Ark Lab, China), Jun Wang (University College London, United Kingdom)
• SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios ‐ Qijie Shen (Alibaba Group, China), Wanjie Tao (Alibaba Group, China), Jing Zhang (The University of Sydney, Australia), Hong Wen (Alibaba Group, China), Zulong Chen (Alibaba Group, China), Quan Lu (Alibaba Group, China)
• ETA Prediction with Graph Neural Networks in Google Maps ‐ Austin Derrow-Pinion (DeepMind, USA), Jennifer She (DeepMind, USA), David Wong (Waymo, USA), Oliver Lange (Google, USA), Todd Hester (Amazon, USA), Luis Perez (Facebook AI, USA), Marc Nunkesser (Google, USA), Seongjae Lee (Google, USA), Xueying Guo (Google, USA), Brett Wiltshire (DeepMind, USA), Peter W. Battaglia (DeepMind, United Kingdom), Vishal Gupta (DeepMind, USA), Ang Li (DeepMind, USA), Zhongwen Xu (Sea AI Lab, Singapore), Alvaro Sanchez-Gonzalez (DeepMind, United Kingdom), Yujia Li (DeepMind, United Kingdom), Petar Veličković (DeepMind, United Kingdom)
• CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge ‐ Chao Zhang (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Jingbo Zhou (Baidu Research, China), Xiaoling Zang (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Qing Xu (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Liang Yin (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Xiang He (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Lin Liu (Baidu Search Ads (Phoenix Nest), Baidu Inc., China), Haoyi Xiong (Baidu Research, China), Dejing Dou (Baidu Research, China)
• Beast: Scalable Exploratory Analytics on Spatio-temporal Data ‐ Ahmed Eldawy (University of California, Riverside, USA), Vagelis Hristidis (University of California, Riverside, USA), Saheli Ghosh (PayPal, USA), Majid Saeedan (University of California, Riverside, USA), Akil Sevim (University of California, Riverside, USA), A.B. Siddique (University of Kentucky, USA), Samriddhi Singla (University of California, Riverside, USA), Ganesh Sivaram (University of California, Riverside, USA), Tin Vu (University of California, Riverside, USA), Yaming Zhang (Tencent Technology Co., China)
• QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction ‐ Danqing Zhang (Amazon.com Inc, USA), Zheng Li (Amazon.com Inc, USA), Tianyu Cao (Amazon.com Inc, USA), Chen Luo (Amazon.com Inc, USA), Tony Wu (Amazon.com Inc, USA), Hanqing Lu (Amazon.com Inc, USA), Yiwei Song (Amazon.com Inc, USA), Bing Yin (Amazon.com Inc, USA), Tuo Zhao (Georgia Institute of Technology, USA), Qiang Yang (Hong Kong University of Science and Technology, China)
• Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising ‐ Yohay Kaplan (Yahoo Research, Israel), Naama Krasne (Yahoo Research, Israel), Alex Shtoff (Yahoo Research, Israel), Oren Somekh (Yahoo Research, Israel)
• You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation ‐ Zeyu Li (University of California, Los Angeles, USA), Wei Cheng (NEC Labs America, USA), Haiqi Xiao (University of California, Los Angeles, USA), Wenchao Yu (NEC Labs America, USA), Haifeng Chen (NEC Labs America, USA), Wei Wang (University of California, Los Angeles, USA)
• Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts ‐ Maryam Aziz (Spotify, USA), Alice Wang (Spotify, USA), Aasish Pappu (Spotify, USA), Hugues Bouchard (Spotify, USA), Yu Zhao (Spotify, Sweden), Benjamin Carterette (Spotify, USA), Mounia Lalmas (Spotify, United Kingdom)
• Self-supervised Learning for Large-scale Item Recommendations ‐ Tiansheng Yao (Google, Inc., USA), Xinyang Yi (Google, Inc., USA), Derek Zhiyuan Cheng (Google, Inc., USA), Felix Yu (Google, Inc., USA), Ting Chen (Google, Inc., Canada), Aditya Menon (Google, Inc., USA), Lichan Hong (Google, Inc., USA), Ed H. Chi (Google, Inc., USA), Steve Tjoa (Google, Inc., USA), Jieqi (Jay) Kang (Google, Inc., USA), Evan Ettinger (Google, Inc., USA)
• Seasonal Relevance in E-Commerce Search ‐ Haode Yang (Amazon, USA), Parth Gupta (Amazon, USA), Roberto Fernández Galán (Amazon, USA), Dan Bu (Amazon, USA), Dongmei Jia (Amazon, USA)
• SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion ‐ Muntasir Wahed (Virginia Tech, USA), Daniel Gruhl (IBM Research Almaden, USA), Alfredo Alba (IBM Research Almaden, USA), Anna Lisa Gentile (IBM Research Almaden, USA), Petar Ristoski (eBay Inc, USA), Chad DeLuca (IBM Research Almaden, USA), Steve Welch (IBM Research Almaden, USA), Ismini Lourentzou (Virginia Tech, USA)
• LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising ‐ Jinsung Jeon (Yonsei University, Republic of Korea), Soyoung Kang (NAVER Clova, Republic of Korea), Minju Jo (Yonsei University, Republic of Korea), Seunghyeon Cho (Yonsei University, Republic of Korea), Noseong Park (Yonsei University, Republic of Korea), Seonghoon Kim (Motov Inc., Ltd., Republic of Korea), Chiyoung Song (Motov Inc., Ltd., Republic of Korea)
• Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising ‐ Tan Yu (Baidu Research, USA), Yi Yang (Baidu Inc., China), Yi Li (Baidu Inc., China), Lin Liu (Baidu Inc., China), Mingming Sun (Baidu Research, China), Ping Li (Baidu Research, USA)
• Causal-Aware Generative Imputation for Automated Underwriting ‐ Qian Li (University of Technology Sydney, Australia), Tri Dung Duong (University of Technology Sydney, Australia), Zhichao Wang (University of New South Wales, Australia), Shaowu Liu (Colonial First State, Commonwealth Bank of Australia, Australia), Dingxian Wang (Ebay, USA), Guandong Xu (University of Technology Sydney, Australia)
• Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification ‐ Tavor Z. Baharav (Stanford University, USA), Daniel L. Jiang (University of Washington, USA), Kedarnath Kolluri (Amazon, USA), Sujay Sanghavi (Amazon & University of Texas at Austin, USA), Inderjit S. Dhillon (Amazon & University of Texas at Austin, USA)
• Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations ‐
• Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach ‐ Martin Gerlach (Wikimedia Foundation, USA), Marshall Miller (Wikimedia Foundation, USA), Rita Ho (Wikimedia Foundation, USA), Kosta Harlan (Wikimedia Foundation, USA), Djellel Difallah (New York University Abu Dhabi, UAE)
• Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks ‐ Chin-Chia Michael Yeh (Visa Research, USA), Zhongfang Zhuang (Visa Research, USA), Junpeng Wang (Visa Research, USA), Yan Zheng (Visa Research, USA), Javid Ebrahimi (Visa Research, USA), Ryan Mercer (University of California, Riverside, USA), Liang Wang (Visa Research, USA), Wei Zhang (Visa Research, USA)
• Understanding Job Seeker Funnel for Search and Discovery Personalization ‐ Nagaraj Kota (Google, India), Venkatesh Duppada (Google, India), Ashvini Jindal (LinkedIn Corporation, India), Mohit Wadhwa (LinkedIn Corporation, India)
• CADRE: A Cloud-Based Data Service for Big Bibliographic Data ‐ Xiaoran Yan (Zhejiang Lab, China), Guangchen Ruan (Indiana University, USA), Dimitar Nikolov (Indiana University, USA), Matthew Hutchinson (Indiana University, USA), Chathuri Peli Kankanamalage (Indiana University, USA), Ben Serrette (Indiana University, USA), James McCombs (Indiana University, USA), Alan Walsh (Indiana University, USA), Esen Tuna (Indiana University, USA), Valentin Pentchev (Indiana University, USA)
• Prioritizing Original News on Facebook ‐ Xiuyan Ni (Facebook Inc., USA), Shujian Bu (Facebook Inc., USA), Lucas Adams (Facebook Inc., USA), Igor L. Markov (Facebook Inc., USA)