Zhichao Chen - RankMe

47 papers A* 6A 2Journal 38Unranked 1

Year	Rank	Type	Title / 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	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
2026	J	`jnl`	Slack More, Predict Better: Proximal Relaxation for Probabilistic Latent Variable Model-based Soft Sensors. CoRR Zehua Zou, Yiran Ma, Yulong Zhang, Zhengnan Li, Zeyu Yang, Jinhao Xie, Xiaoyu Jiang, Zhichao Chen
2025	J	`jnl`	$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling. IEEE CAA J. Autom. Sinica Zhichao Chen, Licheng Pan, Yiran Ma, Zeyu Yang, Le Yao, Jinchuan Qian, Zhihuan Song
2025	J	`jnl`	AKGNN: When Adaptive Graph Neural Network Meets Kolmogorov-Arnold Network for Industrial Soft Sensors. IEEE Trans. Instrum. Meas. Zeyu Yang, Longying Mao, Lingjian Ye, Yiran Ma, Zhihuan Song, Zhichao Chen
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`	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	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	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	J	`jnl`	Heat Equation Stein Variational Ensemble: Rethinking and Advancing Uncertainty-Aware Soft Sensor Modeling. IEEE Trans. Ind. Informatics Yiran Ma, Zhichao Chen, Zeyu Yang, Xinmin Zhang, Zhihuan Song
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`	Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow. CoRR Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. 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
2024	J	`jnl`	Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. IEEE Trans. Knowl. Data Eng. Zhichao Chen, Zhihuan Song, Zhiqiang Ge
2023	J	`jnl`	Directed Acyclic Graphs With Tears. CoRR Zhichao Chen, Zhiqiang Ge
2023	J	`jnl`	Directed Acyclic Graphs With Tears. IEEE Trans. Artif. Intell. Zhichao Chen, Zhiqiang Ge
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	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	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
2022	J	`jnl`	Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice. IEEE Trans. Ind. Informatics Zhichao Chen, Zhiqiang Ge