| 2021 | When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. | Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong |
| 2021 | Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. | Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King |
| 2021 | TMC 2021: 2021 International Workshop on Talent and Management Computing. | Hui Xiong, Hengshu Zhu, Tong Xu, Xi Zhang |
| 2021 | Graph Adversarial Attack via Rewiring. | Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang |
| 2021 | Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. | Hao Xue, Flora D. Salim |
| 2021 | Machine Learning Robustness, Fairness, and their Convergence. | Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang |
| 2021 | 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). | Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki |
| 2021 | MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. | Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai |
| 2021 | Metric Learning via Penalized Optimization. | Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu |
| 2021 | Local Algorithms for Estimating Effective Resistance. | Pan Peng, Daniel Lopatta, Yuichi Yoshida, Gramoz Goranci |
| 2021 | From Deep Learning to Deep Reasoning. | Truyen Tran, Vuong Le, Hung Le, Thao Minh Le |
| 2021 | Analysis and Applications of Class-wise Robustness in Adversarial Training. | Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang |
| 2021 | Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. | Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan |
| 2021 | ODD: Outlier Detection and Description. | Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta |
| 2021 | On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2020 | Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations. | Daniel Zgner, Stephan Gnnemann |
| 2020 | Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery. | Lin Zhu, Wei Yu, Kairong Zhou, Xing Wang, Wenxing Feng, Pengyu Wang, Ning Chen, Pei Lee |
| 2020 | Kernel Assisted Learning for Personalized Dose Finding. | Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song |
| 2020 | HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. | Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi |
| 2020 | Hubble: An Industrial System for Audience Expansion in Mobile Marketing. | Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi |
| 2020 | Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. | Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu |
| 2020 | A Data-Driven Graph Generative Model for Temporal Interaction Networks. | Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He |
| 2020 | Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. | Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong |
| 2020 | TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. | Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang |
| 2020 | The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver. | Anton Zhernov, Krishnamurthy (Dj) Dvijotham, Ivan Lobov, Dan A. Calian, Michelle X. Gong, Natarajan Chandrashekar, Timothy A. Mann |