| 2020 | Truth Discovery against Strategic Sybil Attack in Crowdsourcing. | Yue Wang, Ke Wang, Chunyan Miao |
| 2020 | Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense. | Jingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Junjie Wu, Chao Li |
| 2020 | NodeAug: Semi-Supervised Node Classification with Data Augmentation. | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi |
| 2020 | Personalized PageRank to a Target Node, Revisited. | Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang |
| 2020 | Directional Multivariate Ranking. | Nan Wang, Hongning Wang |
| 2020 | Computer Vision: Deep Dive into Object Segmentation Approaches. | Yuanbo Wang, Osama Sakhi, Ala Eddine Ayadi, Matthew S. Hagen, Estelle Afshar |
| 2020 | Deep Learning for Anomaly Detection. | Ruoying Wang, Kexin Nie, Yen-Jung Chang, Xinwei Gong, Tie Wang, Yang Yang, Bo Long |
| 2020 | M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. | Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu |
| 2020 | Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. | Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu |
| 2020 | Towards Physics-informed Deep Learning for Turbulent Flow Prediction. | Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu |
| 2020 | Attackability Characterization of Adversarial Evasion Attack on Discrete Data. | Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang |
| 2020 | Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. | Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric |
| 2020 | Recent Advances on Graph Analytics and Its Applications in Healthcare. | Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
| 2020 | IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. | Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan |
| 2020 | Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. | Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla |
| 2020 | Keynote Speaker: Alessandro Vespignani. | Alessandro Vespignani |
| 2020 | Names Don't Fly: Smart Filters for Profanity Detection and Classification in User-Generated Content. | Hamsa Shwetha Venkataram, Ian Colwell, Steven Liu, Philip Southam, Chris Mattmann, Tom Sderstrm |
| 2020 | AI for Intelligent Financial Services: Examples and Discussion. | Manuela Veloso |
| 2020 | Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs. | Nate Veldt, Anthony Wirth, David F. Gleich |
| 2020 | Minimizing Localized Ratio Cut Objectives in Hypergraphs. | Nate Veldt, Austin R. Benson, Jon M. Kleinberg |
| 2020 | The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness. | Mariya I. Vasileva |
| 2020 | From Zero to AI Hero with Automated Machine Learning. | Aniththa Umamahesan, Deepak Mukunthu Iyappan Babu |
| 2020 | Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC. | Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota |
| 2020 | Models of Data Governance and Advancing Indigenous Genomic Data Sovereignty. | Krystal S. Tsosie |
| 2020 | Statistically Significant Pattern Mining with Ordinal Utility. | Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma |