ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. - Hao Wang 049; Tai-Wei Chang; Tianqiao Liu; Jianmin Huang; Zhichao Chen 001; Chao Yu; Ruopeng Li; Wei Chu (SIGIR, 2022)

ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. - Hao Wang 049; Tai-Wei Chang; Tianqiao Liu; Jianmin Huang; Zhichao Chen 001; Chao Yu; Ruopeng Li; Wei Chu (CoRR, 2022)

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications. - Hao Wang 049; Zhichao Chen 001; Jiajun Fan; Yuxin Huang 007; Weiming Liu 005; Xinggao Liu (CoRR, 2022)

Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice. - Zhichao Chen 001; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data. - Zhichao Chen 001; Leilei Ding; Zhixuan Chu; Yucheng Qi; Jianmin Huang; Hao Wang 049 (CIKM, 2023)

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. - Zhichao Chen 001; Leilei Ding; Jianmin Huang; Zhixuan Chu; Qingyang Dai; Hao Wang 049 (CIKM, 2023)

Optimal Transport for Treatment Effect Estimation. - Hao Wang 049; Jiajun Fan; Zhichao Chen 001; Haoxuan Li 001; Weiming Liu 005; Tianqiao Liu; Quanyu Dai; Yichao Wang 002; Zhenhua Dong; Ruiming Tang (NeurIPS, 2023)

TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors. - Licheng Pan; Hao Wang 049; Zhichao Chen 001; Yuxing Huang; Xinggao Liu (CoRR, 2023)

Directed Acyclic Graphs With Tears. - Zhichao Chen 001; Zhiqiang Ge (IEEE Trans. Artif. Intell., 2023)

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective. - Zhichao Chen 001; Haoxuan Li 001; Fangyikang Wang; Odin Zhang; Hu Xu 007; Xiaoyu Jiang; Zhihuan Song; Hao Wang 049 (NeurIPS, 2024)

FreDF: Learning to Forecast in Frequency Domain. - Hao Wang 049; Licheng Pan; Zhichao Chen 001; Degui Yang; Sen Zhang 006; Yifei Yang; Xinggao Liu; Haoxuan Li 001; Dacheng Tao (CoRR, 2024)

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow. - Zhichao Chen 001; Haoxuan Li 001; Fangyikang Wang; Odin Zhang; Hu Xu 007; Xiaoyu Jiang; Zhihuan Song; Eric H. Wang (CoRR, 2024)

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation. - Hao Wang 049; Zhichao Chen 001; Yuan Shen; Jiajun Fan; Zhaoran Liu; Degui Yang; Xinggao Liu; Haoxuan Li 001 (CoRR, 2024)

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. - Zhichao Chen 001; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Knowl. Data Eng., 2024)

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors. - Zhichao Chen 001; Hao Wang 049; Guofei Chen; Yiran Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Heat Equation Stein Variational Ensemble: Rethinking and Advancing Uncertainty-Aware Soft Sensor Modeling. - Yiran Ma; Zhichao Chen 001; Zeyu Yang; Xinmin Zhang; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation. - Hao Wang 049; Zhichao Chen 001; Zhaoran Liu; Licheng Pan; Hu Xu 007; Yilin Liao; Haozhe Li; Xinggao Liu (IEEE Trans. Ind. Informatics, 2024)

FreDF: Learning to Forecast in the Frequency Domain. - Hao Wang 049; Lichen Pan; Yuan Shen; Zhichao Chen 001; Degui Yang; Yifei Yang; Sen Zhang 006; Xinggao Liu; Haoxuan Li 001; Dacheng Tao (ICLR, 2025)

Optimal Transport for Time Series Imputation. - Hao Wang 049; Zhengnan Li; Haoxuan Li 001; Xu Chen 017; Mingming Gong; BinChen; Zhichao Chen 001 (ICLR, 2025)

TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors. - Licheng Pan; Hao Wang 049; Zhichao Chen 001; Yuxin Huang 007; Zhaoran Liu; Qunshan He; Xinggao Liu (IEEE Trans Autom. Sci. Eng., 2025)

Controllable Mixture-of-Experts for Multivariate Soft Sensors. - Licheng Pan; Hao Wang 049; Zhichao Chen 001; Yuxin Huang 007; Yunlong Niu; Zhaoran Liu; Qunshan He; Xinggao Liu (IEEE Trans Autom. Sci. Eng., 2025)

LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation. - Hao Wang 049; Xinggao Liu; Zhaoran Liu; Haozhe Li; Yilin Liao; Yuxin Huang 007; Zhichao Chen 001 (IEEE Trans Autom. Sci. Eng., 2025)

Entire Space Counterfactual Learning for Reliable Content Recommendations. - Hao Wang 049; Zhichao Chen 001; Zhaoran Liu; Haozhe Li; Degui Yang; Xinggao Liu; Haoxuan Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

AKGNN: When Adaptive Graph Neural Network Meets Kolmogorov-Arnold Network for Industrial Soft Sensors. - Zeyu Yang; Longying Mao; Lingjian Ye; Yiran Ma; Zhihuan Song; Zhichao Chen 001 (IEEE Trans. Instrum. Meas., 2025)

DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring. - Hao Wang 049; Zhichao Chen 001; Licheng Pan; Xiaoyu Jiang; Yichen Song; Qunshan He; Xinggao Liu (CoRR, 2025)

Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective. - Zhichao Chen 001; Hao Wang 049; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2025)

$ mathrm{E}^{2} text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling. - Zhichao Chen 001; Licheng Pan; Yiran Ma; Zeyu Yang; Le Yao; Jinchuan Qian; Zhihuan Song (IEEE CAA J. Autom. Sinica, 2025)

TransDF: Time-Series Forecasting Needs Transformed Label Alignment. - Hao Wang 049; Licheng Pan; Zhichao Chen 001; Xu Chen 017; Qingyang Dai; Lei Wang 198; Haoxuan Li 001; Zhouchen Lin (CoRR, 2025)

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting. - Licheng Pan; Zhichao Chen 001; Haoxuan Li 001; Guangyi Liu; Zhijian Xu; Zhaoran Liu; Hao Wang 049; Ying Wei (CoRR, 2025)

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control. - Zhichao Chen 001; Hao Wang 049; Licheng Pan; Yiran Ma; Yunfei Teng; Jiaze Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (CoRR, 2025)

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment. - Hao Wang 049; Licheng Pan; Yuan Lu; Zhixuan Chu; Xiaoxi Li; Shuting He; Zhichao Chen 001; Haoxuan Li 001; Qingsong Wen; Zhouchen Lin (CoRR, 2025)

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. - Hao Wang 049; Licheng Pan; Yuan Lu; Zhichao Chen 001; Tianqiao Liu; Shuting He; Zhixuan Chu; Qingsong Wen; Haoxuan Li 001; Zhouchen Lin (CoRR, 2025)

Debiased Recommendation via Wasserstein Causal Balancing. - Hao Wang 049; Zhichao Chen 001; Honglei Zhang 002; Zhengnan Li; Licheng Pan; Haoxuan Li 001; Mingming Gong (ACM Trans. Inf. Syst., 2025)