| 2020 | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis |
| 2020 | Jointly Learning to Recommend and Advertise. | Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang |
| 2020 | Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective. | Yifei Zhao, Yu-Hang Zhou, Mingdong Ou, Huan Xu, Nan Li |
| 2020 | Missing Value Imputation for Mixed Data via Gaussian Copula. | Yuxuan Zhao, Madeleine Udell |
| 2020 | Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services. | Shuai Zhao, Wen-Ling Hsu, George Ma, Tan Xu, Guy Jacobson, Raif M. Rustamov |
| 2020 | A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation. | Hong Zhang, Lan Zhang, Lan Xu, Xiaoyang Ma, Zhengtao Wu, Cong Tang, Wei Xu, Yiguo Yang |
| 2020 | Geodemographic Influence Maximization. | Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong |
| 2020 | What is that Building?: An End-to-end System for Building Recognition from Streetside Images. | Chiqun Zhang, Dragomir Yankov, Chun-Ting Wu, Simon Shapiro, Jason Hong, Wei Wu |
| 2020 | SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. | Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu |
| 2020 | Comprehensive Information Integration Modeling Framework for Video Titling. | Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu |
| 2020 | NetTrans: Neural Cross-Network Transformation. | Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu |
| 2020 | Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks. | Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen |
| 2020 | Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. | Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang |
| 2020 | INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. | Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson |
| 2020 | Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. | Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2020 | Prediction and Profiling of Audience Competition for Online Television Series. | Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang |
| 2020 | Hierarchical Attention Propagation for Healthcare Representation Learning. | Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen |
| 2020 | SCE: Scalable Network Embedding from Sparsest Cut. | Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou |
| 2020 | Diverse Rule Sets. | Guangyi Zhang, Aristides Gionis |
| 2020 | General-Purpose User Embeddings based on Mobile App Usage. | Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang |
| 2020 | Map Generation from Large Scale Incomplete and Inaccurate Data Labels. | Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu |
| 2020 | Multi-modal Network Representation Learning. | Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla |
| 2020 | Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System. | Yipeng Zhang, Bo Du, Lefei Zhang, Jia Wu |
| 2020 | MinSearch: An Efficient Algorithm for Similarity Search under Edit Distance. | Haoyu Zhang, Qin Zhang |
| 2020 | Neural Dynamics on Complex Networks. | Chengxi Zang, Fei Wang |