Hao Wang

57 papers A* 13A 2Journal 41Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective.
CoRR
Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin
2026 J jnl
Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework.
IEEE Trans. Knowl. Data Eng.
Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song
2026 J jnl
CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks.
CoRR
Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin
2026 J jnl
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects.
CoRR
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
2026 J jnl
Deep Time-series Forecasting Needs Kernelized Moment Balancing.
CoRR
Licheng Pan, Hao Wang, Haocheng Yang, Yuqi Li, Qingsong Wen, Xiaoxi Li, Zhichao Chen, Haoxuan Li, Zhixuan Chu, Yuan Lu
2026 A* conf
DeepAgent: A General Reasoning Agent with Scalable Toolsets.
WWW
Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou
2026 J jnl
ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment.
CoRR
Hao Wang, Haocheng Yang, Licheng Pan, Lei Shen, Xiaoxi Li, Yinuo Wang, Zhichao Chen, Yuan Lu, Haoxuan Li, Zhouchen Lin
2026 J jnl
Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.
CoRR
Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin
2026 J jnl
Robust Missing Value Imputation With Proximal Optimal Transport for Low-Quality IIoT Data.
IEEE Trans. Neural Networks Learn. Syst.
Hao Wang, Zhichao Chen, Yuan Shen, Hui Zheng, Degui Yang, Dangjun Zhao, Buge Liang
2025 J jnl
Controllable Mixture-of-Experts for Multivariate Soft Sensors.
IEEE Trans Autom. Sci. Eng.
Licheng Pan, Hao Wang, Zhichao Chen, Yuxin Huang, Yunlong Niu, Zhaoran Liu, Qunshan He, Xinggao Liu
2025 J jnl
Debiased Recommendation via Wasserstein Causal Balancing.
ACM Trans. Inf. Syst.
Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong
2025 J jnl
DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring.
CoRR
Hao Wang, Zhichao Chen, Licheng Pan, Xiaoyu Jiang, Yichen Song, Qunshan He, Xinggao Liu
2025 J jnl
DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment.
CoRR
Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin
2025 J jnl
Entire Space Counterfactual Learning for Reliable Content Recommendations.
IEEE Trans. Inf. Forensics Secur.
Hao Wang, Zhichao Chen, Zhaoran Liu, Haozhe Li, Degui Yang, Xinggao Liu, Haoxuan Li
2025 A* conf
FreDF: Learning to Forecast in the Frequency Domain.
ICLR
Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao
2025 J jnl
Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.
IEEE Trans. Syst. Man Cybern. Syst.
Zhichao Chen, Hao Wang, Zhihuan Song, Zhiqiang Ge
2025 J jnl
LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation.
IEEE Trans Autom. Sci. Eng.
Hao Wang, Xinggao Liu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Zhichao Chen
2025 J jnl
Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting.
CoRR
Licheng Pan, Zhichao Chen, Haoxuan Li, Guangyi Liu, Zhijian Xu, Zhaoran Liu, Hao Wang, Ying Wei
2025 A* conf
Optimal Transport for Time Series Imputation.
ICLR
Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen
2025 — conf
Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation.
KDD (2)
Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin
2025 J jnl
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models.
CoRR
Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin
2025 J jnl
Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control.
CoRR
Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song
2025 J jnl
TMoE-P: Toward the Pareto Optimum for Multivariate Soft Sensors.
IEEE Trans Autom. Sci. Eng.
Licheng Pan, Hao Wang, Zhichao Chen, Yuxin Huang, Zhaoran Liu, Qunshan He, Xinggao Liu
2025 J jnl
The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss.
CoRR
Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Hao Wang, Zhiqiang Ge, Daoyi Dong, Yong Li, Qingsong Wen
2025 J jnl
TransDF: Time-Series Forecasting Needs Transformed Label Alignment.
CoRR
Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin
2025 A* conf
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning.
ICML
Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin
2024 A* conf
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
WWW
Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024 J jnl
An Accurate and Interpretable Framework for Trustworthy Process Monitoring.
IEEE Trans. Artif. Intell.
Hao Wang, Zhiyu Wang, Yunlong Niu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Xinggao Liu
2024 J jnl
Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.
IEEE Trans. Ind. Informatics
Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song
2024 A* conf
Debiased Recommendation with Noisy Feedback.
KDD
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024 J jnl
Debiased Recommendation with Noisy Feedback.
CoRR
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024 J jnl
Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation.
IEEE Trans. Ind. Informatics
Hu Xu, Zhaoran Liu, Hao Wang, Changdi Li, Yunlong Niu, Wenhai Wang, Xinggao Liu
2024 J jnl
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain.
CoRR
Zhengnan Li, Haoxuan Li, Hao Wang, Jun Fang, Duoyin Li, Yunxiao Qin
2024 J jnl
FreDF: Learning to Forecast in Frequency Domain.
CoRR
Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao
2024 A* conf
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting.
AAAI
Hao Wang
2024 J jnl
Integrating regular expressions into neural networks for relation extraction.
Expert Syst. Appl.
Zhaoran Liu, Xinjie Chen, Hao Wang, Xinggao Liu
2024 J jnl
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation.
CoRR
Hao Wang, Zhichao Chen, Yuan Shen, Jiajun Fan, Zhaoran Liu, Degui Yang, Xinggao Liu, Haoxuan Li
2024 A* conf
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective.
NeurIPS
Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang
2024 J jnl
SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation.
IEEE Trans. Ind. Informatics
Hao Wang, Zhichao Chen, Zhaoran Liu, Licheng Pan, Hu Xu, Yilin Liao, Haozhe Li, Xinggao Liu
2023 J jnl
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR
Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
2023 J jnl
A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation.
Expert Syst. Appl.
Zhaoran Liu, Haozhe Li, Hao Wang, Yilin Liao, Xinggao Liu, Gaojie Wu
2023 J jnl
ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
2023 A* conf
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
ICLR
Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023 J jnl
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
CoRR
Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
2023 A conf
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.
CIKM
Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
2023 J jnl
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.
CoRR
Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
2023 J jnl
Omnidirectional Image Super-Resolution via Latitude Adaptive Network.
IEEE Trans. Multim.
Xin Deng, Hao Wang, Mai Xu, Li Li, Zulin Wang
2023 A* conf
Optimal Transport for Treatment Effect Estimation.
NeurIPS
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 J jnl
Optimal Transport for Treatment Effect Estimation.
CoRR
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 A* conf
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.
NeurIPS
Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu
2023 J jnl
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors.
CoRR
Licheng Pan, Hao Wang, Zhichao Chen, Yuxing Huang, Xinggao Liu
2023 A conf
Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach.
CIKM
Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang
2022 J jnl
ESCM
CoRR
Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu
2022 A* conf
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.
SIGIR
Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu
2022 J jnl
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications.
CoRR
Hao Wang, Zhichao Chen, Jiajun Fan, Yuxin Huang, Weiming Liu, Xinggao Liu
2021 A* conf
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution.
CVPR
Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang
2020 J jnl
A Meta-Learning Framework for Learning Multi-User Preferences in QoE Optimization of DASH.
IEEE Trans. Circuits Syst. Video Technol.
Liangyu Huo, Zulin Wang, Mai Xu, Yong Li, Zhiguo Ding, Hao Wang