In the year of 2026

  • [ICML] Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Haoxuan Li, Zhouchen Lin, "ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM Alignment," International Conference on Machine Learning.
  • [ICML] Licheng Pan, Haochen Yang, Haoxuan Li, Yunsheng Lu, Yongqi Tong, Yinuo Wang, Shijian Wang, Zhixuan Chu, Lei Shen, Yuan Lu, Hao Wang†, "Optimal Transport for LLM Reward Modeling from Noisy Feedback," International Conference on Machine Learning.
  • [ICML] Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin, "Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective," International Conference on Machine Learning.
  • [ICML] Yuchao Zhang, Hao Wang, Fan Zhang, Qirui Mi, Mengyue Yang, Yisen Wang, Jun Wang, Haoxuan Li, Zhouchen Lin, " Learning to Memorize with Attributive and Associative Memory for Online Test-Time Adaptation of Vision-Language Models," International Conference on Machine Learning.
  • [ICLR] Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin, "DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment," International Conference on Learning Representations.
  • [ICLR] Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin, "Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models," International Conference on Learning Representations.
  • [ICLR] Tianqiao Liu, Xueyi Li, Hao Wang, Haoxuan Li, Zhichao Chen, Weiqi Luo, Zitao Liu, "From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training," International Conference on Learning Representations.
  • [KDD] Chunyuan Zheng, Xiang Li, Hang Pan, Hao Wang, Haoxuan Li, Yang Zhang, See-Kiong Ng, Xiao-Hua Zhou, "Conformal Imputation Correction in Doubly Robust Learning for Debiased Recommendation," ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
  • [SIGIR] Yanghao Xiao, Hao Wang, Xiang Li, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin, "Debiased Recommendation Beyond the Positive Propensity Assumption," ACM SIGIR Conference on Research and Development in Information Retrieval.
  • [WWW] Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou, "DeepAgent: A General Reasoning Agent with Scalable Toolsets," The Web Conference.
  • [JAS] Hao Wang, Licheng Pan, Yuan Lu, Zhengnan Li, Shuting He, Xiaoyu Jiang, Zhichao Chen, Xinggao Liu, "FMT-I: Flexible Mass Transport for Noise-Resilient Missing Data Imputation," IEEE/CAA Journal of Automatica Sinica.
  • [TAI] Hao Wang, Zhichao Chen, Licheng Pan, Xiaoyu Jiang, Yichen Song, Qunshan He, Xinggao Liu, "DeepFilter: A Transformer-Style Framework for Accurate and Efficient Process Monitoring," IEEE Transactions on Artificial Intelligence.
  • [arXiv] Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin, "Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective," arXiv preprint.
  • [arXiv] Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin, "CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks," arXiv preprint.
  • [arXiv] Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu, "Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects," arXiv preprint.
  • [arXiv] Licheng Pan, Hao Wang†, Haocheng Yang, Yuqi Li, Qingsong Wen, Xiaoxi Li, Zhichao Chen, Haoxuan Li, Zhixuan Chu, Yuan Lu, "Deep Time-series Forecasting Needs Kernelized Moment Balancing," arXiv preprint.
  • [arXiv] Shijian Wang, Jiarui Jin, Rui Fu, Zongze Yan, Xinyu Wang, Mufan Hu, Hao Wang, Xiaoxi Li, Keyang Zhang, Lin Yao, Hao Wang, "MuseAgent: A Multimodal Reasoning Agent with Stateful Experiences," arXiv preprint.
  • [arXiv] Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Haoxuan Li, Hao Wang, Shijian Wang, Guanting Dong, Jiajie Jin, Yinuo Wang, Yuan Lu, "OmniGaia: Towards Native Omni-Modal AI Agents," arXiv preprint.
  • [arXiv] Haocheng Yang, Licheng Pan, Xiaoxi Li, Zhichao Chen, Zhangchi Zhang, Yuan Lu, Haoxuan Li, Hao Wang†, "Rubrics on Trial: Evolving Rubrics from a Single Query via Synthetic Pairwise Evidence," arXiv preprint.
  • [arXiv] Yinuo Wang, Mengyang Tan, Wenxiang Jiao, Xiaoxi Li, Hao Wang, Xiang Zhang, Yuan Lu, Weiqi Dong, "TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning," arXiv preprint.
  • [arXiv] Licheng Pan, Haocheng Yang, Haoxuan Li, Yichen Sun, Yunsheng Lu, Shijian Wang, Lei Shen, Yuan Lu, Zhixuan Chu, Hao Wang†, "Uncertainty-Aware Reward Modeling for Stable RLHF," arXiv preprint.
  • [Chapter] Hao Wang, Licheng Pan, Zhichao Chen, Zhengnan Li, "AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning," CRC Press.

In the year of 2025

  • [NeurIPS] Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin, "Time-o1: Time-Series Forecasting Needs Transformed Label Alignment," Advances in Neural Information Processing Systems.
  • [NeurIPS] Hao Wang, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin, "Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision," Advances in Neural Information Processing Systems.
  • [NeurIPS] Wentao Yue, Yulong Liu, Hao Wang, Haoxuan Li, Xin Ying, Rui Guo, Bin Xing, Jiming Shi, "OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain," Advances in Neural Information Processing Systems.
  • [NeurIPS] Xinyu Li, Yuan Luo, Hao Wang, Haoxuan Li, Linxiao Peng, Fucai Liu, Yunxiao Guo, Keyang Zhang, Mingming Gong, "Towards Accurate Time Series Forecasting via Implicit Decoding," Advances in Neural Information Processing Systems.
  • [ICML] Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin, "Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning," International Conference on Machine Learning.
  • [ICLR] Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao, "FreDF: Learning to Forecast in the Frequency Domain," International Conference on Learning Representations.
  • [ICLR] Hao Wang, Licheng Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao, "Label Correlation Biases Direct Time Series Forecast," International Conference on Learning Representations.
  • [ICLR] Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen, "Optimal Transport for Time Series Imputation," International Conference on Learning Representations.
  • [KDD] Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin, "Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation," ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
  • [TKDE] Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang†, Zhihuan Song, "Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework," IEEE Transactions on Knowledge and Data Engineering.
  • [TASE] Licheng Pan, Hao Wang†, Zhichao Chen, Yuxin Huang, Yunlong Niu, Zhaoran Liu, Qunshan He, Xinggao Liu, "Controllable Mixture-of-Experts for Multivariate Soft Sensors," IEEE Transactions on Automation Science and Engineering.
  • [TASE] Hao Wang, Xinggao Liu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Zhichao Chen, "LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation," IEEE Transactions on Automation Science and Engineering.
  • [TIFS] Hao Wang, Zhichao Chen, Zhaoran Liu, Haozhe Li, Degui Yang, Xinggao Liu, Haoxuan Li, "Entire Space Counterfactual Learning for Reliable Content Recommendations," IEEE Transactions on Information Forensics and Security.
  • [TNNLS] Hao Wang, Zhichao Chen, Yuan Shen, Hui Zheng, Degui Yang, Dangjun Zhao, Buge Liang, "Robust Missing Value Imputation With Proximal Optimal Transport for Low-Quality IIoT Data," IEEE Transactions on Neural Networks and Learning Systems.
  • [TOIS] Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong, "Debiased Recommendation via Wasserstein Causal Balancing," ACM Transactions on Information Systems.
  • [TMLR] Guangyi Liu, Pengan Zhao, Liang Liu, Yijia Guo, Hongcui Xiao, Wei Lin, Yue Chai, Yue Han, Silu Ren, Hao Wang, "LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects," Transactions on Machine Learning Research.
  • [TSMC] Zhichao Chen, Hao Wang, Zhihuan Song, Zhiqiang Ge, "Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective," IEEE Transactions on Systems, Man, and Cybernetics: Systems.
  • [arXiv] Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song, "Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control," arXiv preprint.
  • [Chapter] Zhichao Chen, Hao Wang, Yiran Ma, Chao Qiu, Le Yao, Xin Zhang, Zhihuan Song, "Integrating Incomplete Prior Knowledge into Data-Driven Inferential Sensor Models Under Variational Bayesian Framework," Applied AI Techniques in the Process Industry.

In the year of 2024

  • [NeurIPS] Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang†, "Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective," Advances in Neural Information Processing Systems.
  • [ICML] Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou, "Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering," International Conference on Machine Learning.
  • [KDD] Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou, "Debiased Recommendation with Noisy Feedback," ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
  • [AAAI] Hao Wang, "Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting," AAAI Conference on Artificial Intelligence.
  • [WWW] Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie, "A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems," The Web Conference.
  • [ESA] Yilin Liao, Rixin Su, Wenhai Wang, Haozhe Li, Hao Wang, Zhaoran Liu, Xinggao Liu, "Gaussian Dynamic Recurrent Unit for Emitter Classification," Expert Systems with Applications.
  • [ESA] Zhaoran Liu, Xinjie Chen, Hao Wang, Xinggao Liu, "Integrating Regular Expressions into Neural Networks for Relation Extraction," Expert Systems with Applications.
  • [TAI] Hao Wang, Zhiyu Wang, Yunlong Niu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Xinggao Liu, "An Accurate and Interpretable Framework for Trustworthy Process Monitoring," IEEE Transactions on Artificial Intelligence.
  • [TASE] Hao Wang, Xinggao Liu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Zhichao Chen, "LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation," IEEE Transactions on Automation Science and Engineering.
  • [TASE] Licheng Pan, Hao Wang†, Zhichao Chen, Yuxin Huang, Zhaoran Liu, Qunshan He, Xinggao Liu, "TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors," IEEE Transactions on Automation Science and Engineering.
  • [TIFS] Hao Wang, Zhichao Chen, Zhaoran Liu, Haozhe Li, Degui Yang, Xinggao Liu, Haoxuan Li, "Entire Space Counterfactual Learning for Reliable Content Recommendations," IEEE Transactions on Information Forensics and Security.
  • [TII] Hao Wang, Zhichao Chen, Zhaoran Liu, Licheng Pan, Hu Xu, Yilin Liao, Haozhe Li, Xinggao Liu, "SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation," IEEE Transactions on Industrial Informatics.
  • [TII] Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song, "Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors," IEEE Transactions on Industrial Informatics.
  • [TII] Hu Xu, Zhaoran Liu, Hao Wang, Changdi Li, Yunlong Niu, Wenhai Wang, Xinggao Liu, "Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation," IEEE Transactions on Industrial Informatics.
  • [TSMC] Zhichao Chen, Hao Wang, Zhihuan Song, Zhiqiang Ge, "Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective," IEEE Transactions on Systems, Man, and Cybernetics: Systems.

In the years of 2022-2023

  • [NeurIPS] Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang, "Optimal Transport for Treatment Effect Estimation," Advances in Neural Information Processing Systems.
  • [NeurIPS] Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu, "Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach," Advances in Neural Information Processing Systems.
  • [ICLR] Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia, "Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection," International Conference on Learning Representations.
  • [CIKM] Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang†, "Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data," ACM International Conference on Information and Knowledge Management.
  • [CIKM] Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang†, "Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach," ACM International Conference on Information and Knowledge Management.
  • [ESA] Zhaoran Liu, Haozhe Li, Hao Wang, Yilin Liao, Xinggao Liu, Gaojie Wu, "A Novel Pipelined End-to-End Relation Extraction Framework with Entity Mentions and Contextual Semantic Representation," Expert Systems with Applications.
  • [ESA] Haozhe Li, Wenhai Wang, Zhaoran Liu, Yunlong Niu, Hao Wang, Shunping Zhao, Yilin Liao, Weigeng Yang, Xinggao Liu, "A Novel Locality-Sensitive Hashing Relational Graph Matching Network for Semantic Textual Similarity Measurement," Expert Systems with Applications.
  • [SIGIR] Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu, "ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation," ACM SIGIR Conference on Research and Development in Information Retrieval.
  • [TAI] Hao Wang, Zhiyu Wang, Yunlong Niu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Xinggao Liu, "An Accurate and Interpretable Framework for Trustworthy Process Monitoring," IEEE Transactions on Artificial Intelligence.
  • [TII] Yuxin Huang, Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu, "Modeling Task Relationships in Multivariate Soft Sensor with Balanced Mixture-of-Experts," IEEE Transactions on Industrial Informatics.
Contents