Multi-Objective Recommendations Author(s): Yong Zheng (Illinois Institute of Technology, USA)*; Xuejun Wang (Morningstar, Inc.)

Advances in Mining Heterogeneous Healthcare Data Author(s): Fenglong Ma (Pennsylvania State University)*; Muchao Ye (The Pennsylvania State University); Junyu Luo (Pennsylvania State University); Cao Xiao (Amplitude); Jimeng Sun (UIUC)

Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic Author(s): Preslav Nakov (Qatar Computing Research Institute)*; Giovanni Da San Martino (University of Padova)

Language Scaling: Applications, Challenges and Approaches Author(s): Linjun Shou (STCA NLP Group, Microsoft, Beijing); Ming Gong (Microsoft STCA NLP Group); Jian Pei (Simon Fraser University); Xiubo Geng (STCA NLP Group, Microsoft); Xinjie Zhou (Microsoft); Daxin Jiang (Microsoft, Beijing, China)*

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber Author(s): Jeong-Yoon Lee (Netflix)*; Jing Pan (Uber Technologies); Yifeng Wu (Uber Technologies); Huigang Chen (Facebook); Totte Harinen (Toyota Research Institute); Greg Lewis (Microsoft Research); Vasilis Syrgkanis (Microsoft Research); Miruna Oprescu (Microsoft Research); Maggie Hei (Microsoft Research); Paul Lo (Uber Technologies); Keith Battocchi (Microsoft); Eleanor Dillon (Microsoft Research)

Physics-Guided AI for Large-Scale Spatiotemporal Data Author(s): Rose Yu (University of California, San Diego)*; Paris Perdikaris (University of Pennsylvania); Anuj Karpatne (Virginia Tech )

Toward Explainable Deep Anomaly Detection Author(s): Guansong Pang (University of Adelaide)*; Charu Aggarwal (IBM)

Causal Inference from Network Data Author(s): Elena Zheleva (University of Illinois at Chicago)*; David Arbour (Adobe Research)

Artificial Intelligence for Drug Discovery Author(s): Jian Tang (HEC Montreal & MILA)*; Fei Wang (Cornell University); Feixiong Cheng (Cleveland Clinic)

Counterfactual Explanations in Explainable AI: A Tutorial Author(s): Cong WANG (Huawei Technologies)*; Xiao-Hui Li (Huawei Technologies); Haocheng Han (Huawei Technologies); Luning Wang (Huawei Technologies); Caleb Chen Cao (Huawei Technologies); Lei Chen (Hong Kong University of Science and Technology)

Challenges in KDD and ML for Sustainable Development Author(s): Laure Berti-Equille (IRD)*; David Dao (ETH Zurich); Stefano Ermon (Stanford University); Bedartha Goswami (University of Tuebingen)

Machine Learning Robustness, Fairness, and their Convergence Author(s): Jae-Gil Lee (KAIST); Yuji Roh (KAIST); Hwanjun Song (NAVER AI Lab); Steven Whang (KAIST)*

Data Science on Blockchains Author(s): Cuneyt G Akcora (University of Manitoba)*; Yulia R. Gel (The University of Texas at Dallas); Murat Kantarcioglu (UT Dallas)

New Frontiers of Multi-Network Mining: Recent Developments and Future Trend Author(s): Boxin Du (University of Illinois at Urbana-Champaign)*; Si Zhang (University of Illinois at Urbana-Champaign); Yuchen Yan (University of Illinois at Urbana-Champaign); Hanghang Tong (University of Illinois at Urbana-Champaign)

Mixed Method Development of Evaluation Metrics Author(s): Brian St Thomas (Spotify)*; Praveen Chandar (Spotify); Christine Hosey (Spotify); Fernando Diaz (Google)

From Deep Learning to Deep Reasoning Author(s): Truyen Tran (Deakin University)*; Vuong Le (Deakin University); Hung Le (Deakin University); Thao M Le (Deakin University)n

Automated Machine Learning on Graph Author(s): Xin Wang (Tsinghua University)*; Wenwu Zhu (Tsinghua University)

Creating Recommender Systems Datasets in Scientific Fields Author(s): Marcia Barros (LASIGE, Faculdade de Ciências, Universidade de Lisboa)*; Francisco M. Couto (LASIGE, Faculdade de Ciências, Universidade de Lisboa); Matilde Pato (LASIGE, Faculdade de Ciências, Universidade de Lisboa); Pedro Ruas (LASIGE, Faculdade de Ciências, Universidade de Lisboa)

Machine Learning Explainability and Robustness: Connected at the Hip Author(s): Zifan Wang (Carnegie Mellon University)*; Klas Leino (Carnegie Mellon University); Matt Fredrikson (Carnegie Mellon University); Anupam Datta (Carnegie Mellon University); Kaiji Lu (Carnegie Mellon University); Shayak Sen (Truera)

A Visual Tour of Bias Mitigation Techniques for Word Representations Author(s): Archit Rathore (University of Utah); Sunipa Dev (University of California, Los Angeles)*; Jeff Phillips (University of Utah); Vivek Srikumar (University of Utah); Bei Wang (University of Utah)

Explainability for Natural Language Processing
Author(s): Marina Danilevsky (IBM Research); Shipi Dhanorkar (Pennsylvania State University); Yunyao Li (IBM Research - Almaden); Lucian Popa (IBM Almaden Research Center)*; Kun Qian (Amazon); Anbang Xu (IBM Research, USA)

From Tables to Knowledge: Recent Advances in Table Understanding Author(s): Jay Pujara (University of Southern California)*; Pedro Szekely (USC/ISI); Huan Sun (Ohio State University); Muhao Chen (USC)

On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining Author(s): Yu Meng (University of Illinois at Urbana-Champaign)*; Jiaxin Huang (University of Illinois Urbana-Champaign); Yu Zhang (University of Illinois at Urbana-Champaign); Jiawei Han (UIUC)

High-Dimensional Similarity Query Processing for Data Science Author(s): Jianbin Qin (Shenzhen Institute of Computing Sciences, Shenzhen University); Wei Wang (University of New South wales); Chuan Xiao (Osaka University and Nagoya University)*; Ying Zhang (University of Technology Sydney); Yaoshu Wang (Shenzhen Institute of Computing Sciences, Shenzhen University)

Adversarial Robustness in Deep Learning: From Practices to Theories Author(s): Han Xu (Michigan State University)*; Yaxin Li (Michigan State University); Xiaorui Liu (Michigan State University); Wentao Wang (Michigan State University); Jiliang Tang (Michigan State University)

Data Efficient Learning on Graphs Author(s): Chuxu Zhang (Brandeis University)*; Jundong Li (University of Virginia); Meng Jiang (University of Notre Dame)

Towards Fair Federated Learning Author(s): Zirui Zhou (Huawei Technologies Canada Co., Ltd., Burnaby, Canada)*; Lingyang Chu (McMaster University); Yong Zhang (Huawei Technologies Canada Co., Ltd.); Lanjun Wang (Huawei Technologies Canada Co., Ltd.); Changxin Liu (University of Victoria); Jian Pei (Simon Fraser University)

Real-time Event Detection for Emergency Response Tutorial Author(s): Alejandro Jaimes (Dataminr)*; Joel R Tetreault (Dataminr)

Simple and Automatic Distributed Machine Learning on Ray Author(s): Hao Zhang (UC Berkeley)*; Zhuohan Li (Berkeley); Lianmin Zheng (UC Berkeley); Ion Stoica (UC Berkeley)

Data Quality for Machine Learning Tasks Author(s): Hima Patel (IBM Research); Nitin Gupta (IBM Research)*; Shashank Mujumdar (IBM Research, India); Satoshi Masuda (IBM Research); Naveen Panwar (IBM Research, India); Sambaran Bandyopadhyay (IBM Research); sameep mehta (IBM Research); Shanmukh Chaitanya (IBM Research); Shazia Afzal (IBM Research); Ruhi Sharma Mittal (IBM Research); Vitobha Munigala (IBM Research AI)

Data Pricing and Data Asset Governance in the AI Era Author(s): Jian Pei (Simon Fraser University)*; Feida Zhu (Singapore Management University); Zicun Cong (Simon Fraser University); Xuan Luo (Simon Fraser University); Huiweu Liu (Singapore Management University); Xin Mu (PCL)

Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons Author(s): Joel Barajas (Yahoo Research, Verizon Media)*; Narayan Bhamidipati (Yahoo Research, Verizon Media); JAMES G SHANAHAN (Church and Duncan Group)

Deep Learning on Graphs for Natural Language Processing Author(s): Lingfei Wu (JD.COM Silicon Valley Research Center)*; Yu Chen (FB); Heng Ji (University of Illinois at Urbana-Champaign); Yunyao Li (IBM Research); Bang Liu (Canada University of Montreal)

Fairness in Networks: Social Capital, Information Access, and Interventions Author(s): Carlos Scheidegger (University of Arizona)*; Sorelle Friedler (Haverford College); Suresh Venkatasubramanian (University of Utah)

Fairness and Explanation in Clustering and Outlier Detection Author(s): Ian Davidson (UC Davis)*

AutoML: A Perspective where Industry Meets Academy Author(s): Yaliang Li (Alibaba Group)*; Zhen Wang (Alibaba Group); Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Ce Zhang (ETH)

Systemic Challenges and Solutions on Bias and Unfairness in Peer Review
Author(s): Nihar Shah (CMU)*

All You Need to Know to Build a Product Knowledge Graph Author(s): Nasser Zalmout2 (Amazon)*; Xin Luna Dong (Amazon.com); Xian Li (Amazon); Chenwei Zhang (Amazon); Yan Liang (Amazon)

Software as a Medical Device: Regulating AI in Healthcare via Responsible AI Author(s): Muhammad A Ahmad (KenSci / University of Washington)*; Carly Miller (University of Washington); Ankur Teredesai (University of Washington); Vikas Kumar (KenSci); Christine Allen (KenSci)

Graph Representation Learning: Foundations, Methods, Applications and Systems Author(s): Jin, Wei*; Ma, Yao; Wang, Yiqi; Liu, Xiaorui; Tang , Jiliang; Cen, Yukuo; Qiu, Jiezhong; Tang, Jie; Shi, Chuan; Ye, Yanfang; Zhang, Jiawei; Yu, Philip S