| 2020 | Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. | Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang |
| 2020 | Recent Advances in Multimodal Educational Data Mining in K-12 Education. | Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin |
| 2020 | Deep Learning of High-Order Interactions for Protein Interface Prediction. | Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji |
| 2020 | Spectrum-Guided Adversarial Disparity Learning. | Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang |
| 2020 | Neural Subgraph Isomorphism Counting. | Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang |
| 2020 | Category-Specific CNN for Visual-aware CTR Prediction at JD.com. | Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan |
| 2020 | Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. | Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong |
| 2020 | Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time. | Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye |
| 2020 | Towards Deeper Graph Neural Networks. | Meng Liu, Hongyang Gao, Shuiwang Ji |
| 2020 | Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. | Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy |
| 2020 | Build the State-of-the-Art Machine Learning Technology for the Crypto Economy. | Michael Li, Catalin Tiseanu, Burkay Gur |
| 2020 | Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. | Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu |
| 2020 | Towards Fair Truth Discovery from Biased Crowdsourced Answers. | Yanying Li, Haipei Sun, Wendy Hui Wang |
| 2020 | Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform. | Anna Lioznova, Alexey Drutsa, Vladimir Kukushkin, Anastasia A. Bezzubtseva |
| 2020 | Graph Attention Networks over Edge Content-Based Channels. | Lu Lin, Hongning Wang |
| 2020 | IQ-Net: A DNN Model for Estimating Interaction-level Dialogue Quality with Conversational Agents. | Yuan Ling, Benjamin Z. Yao, Guneet Singh Kohli, Tuan-Hung Pham, Chenlei Guo |
| 2020 | Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction. | Haoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You |
| 2020 | FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents. | Bill Yuchen Lin, Ying Sheng, Nguyen Vo, Sandeep Tata |
| 2020 | Acoustic Measures for Real-Time Voice Coaching. | Ying Li, Abraham Miller, Arthur Liu, Kyle Coburn, Luis J. Salazar |
| 2020 | A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components. | Yuantong Li, Qi Ma, Sujit K. Ghosh |
| 2020 | Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory. | Alane M. de Lima, Murilo V. G. da Silva, Andr Lus Vignatti |
| 2020 | WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams. | Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang |
| 2020 | Bootstrapping Complete The Look at Pinterest. | Eileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu |
| 2020 | CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. | Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester |
| 2020 | Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. | Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu |