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)

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)

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. - Jiajun Fan; Yuzheng Zhuang; Yuecheng Liu; Jianye Hao; Bin Wang 034; Jiangcheng Zhu; Hao Wang 049; Shu-Tao Xia (ICLR, 2023)

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach. - Haoxuan Li 001; Kunhan Wu; Chunyuan Zheng 001; Yanghao Xiao; Hao Wang 049; Zhi Geng; Fuli Feng; Xiangnan He 001; Peng Wu 012 (NeurIPS, 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)

ConvFormer: Revisiting Transformer for Sequential User Modeling. - Hao Wang 049; Jianxun Lian; Mingqi Wu; Haoxuan Li 001; Jiajun Fan; Wanyue Xu; Chaozhuo Li; Xing Xie 001 (CoRR, 2023)

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Defu Lian; Xing Xie 001 (CoRR, 2023)

Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts. - Yuxin Huang 007; Eric Hao Wang; Zhaoran Liu; Licheng Pan; Haozhe Li; Xinggao Liu (IEEE Trans. Ind. Informatics, 2023)

A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation. - Zhaoran Liu; Haozhe Li; Hao Wang 049; Yilin Liao; Xinggao Liu; Gaojie Wu (Expert Syst. Appl., 2023)

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting. - Hao Wang 049 (AAAI, 2024)

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. - Haoxuan Li 001; Chunyuan Zheng 001; Shuyi Wang; Kunhan Wu; Eric Hao Wang; Peng Wu 012; Zhi Geng; Xu Chen 017; Xiao-Hua Zhou (ICML, 2024)

Debiased Recommendation with Noisy Feedback. - Haoxuan Li 001; Chunyuan Zheng 001; Wenjie Wang 007; Hao Wang 049; Fuli Feng; Xiao-Hua Zhou (KDD, 2024)

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

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Hao Liao; Defu Lian; Xing Xie 001 (WWW, 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)

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)

FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain. - Zhengnan Li; Haoxuan Li 001; Hao Wang 049; Jun Fang; Duoyin Li; Yunxiao Qin (CoRR, 2024)

Integrating regular expressions into neural networks for relation extraction. - Zhaoran Liu; Xinjie Chen; Hao Wang 049; Xinggao Liu (Expert Syst. Appl., 2024)

An Accurate and Interpretable Framework for Trustworthy Process Monitoring. - Hao Wang 049; Zhiyu Wang; Yunlong Niu; Zhaoran Liu; Haozhe Li; Yilin Liao; Yuxin Huang 007; Xinggao Liu (IEEE Trans. Artif. Intell., 2024)

Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation. - Hu Xu; Zhaoran Liu; Hao Wang 049; Changdi Li; Yunlong Niu; Wenhai Wang; Xinggao Liu (IEEE Trans. Ind. Informatics, 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)

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation. - Hao Wang 049; Zhichao Chen 001; Zhaoran Liu; Licheng Pan; Hu Xu; 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)

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)

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)