An artificial neural network-based expert system for network topological error identification. - Tian Tian 001; Minzhe Zhu; Boming Zhang (ICNN, 1995)

Max-Margin Majority Voting for Learning from Crowds. - Tian Tian 001; Jun Zhu 001 (NIPS, 2015)

Uncovering the Latent Structures of Crowd Labeling. - Tian Tian 001; Jun Zhu 001 (PAKDD (1), 2015)

Crowd Fraud Detection in Internet Advertising. - Tian Tian 001; Jun Zhu 001; Fen Xia; Xin Zhuang; Tong Zhang 001 (WWW, 2015)

Jointly Modeling Topics and Intents with Global Order Structure. - Bei Chen; Jun Zhu 001; Nan Yang 002; Tian Tian 001; Ming Zhou 001; Bo Zhang 010 (AAAI, 2016)

Learning Attributes from the Crowdsourced Relative Labels. - Tian Tian 001; Ning Chen 002; Jun Zhu 001 (AAAI, 2017)

Selective Verification Strategy for Learning From Crowds. - Tian Tian 001; Yichi Zhou; Jun Zhu 001 (AAAI, 2018)

Adversarial Attack on Graph Structured Data. - Hanjun Dai; Hui Li; Tian Tian 001; Xin Huang; Lin Wang; Jun Zhu 001; Le Song (ICML, 2018)

Semi-crowdsourced Clustering with Deep Generative Models. - Yucen Luo; Tian Tian 001; Jiaxin Shi; Jun Zhu 001; Bo Zhang 010 (NeurIPS, 2018)

Max-Margin Majority Voting for Learning from Crowds. - Tian Tian 001; Jun Zhu 001; You Qiaoben (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

VFlow: More Expressive Generative Flows with Variational Data Augmentation. - Jianfei Chen 001; Cheng Lu 011; Biqi Chenli; Jun Zhu 001; Tian Tian 001 (ICML, 2020)

Dynamic Window-level Granger Causality of Multi-channel Time Series. - Zhiheng Zhang; Wenbo Hu 001; Tian Tian 001; Jun Zhu 001 (CoRR, 2020)

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Tian Tian 001; Jun Zhu 001 (KDD, 2023)