Hao Wang

According to our database, Hao Wang authored at least 25 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.

Zhichao Chen, Hao Wang, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Syst. Man Cybern. Syst., February, 2025

2024

SPOT-I: Similarity Preserved Optimal Transport for Industrial IoT Data Imputation.

Hao Wang, Zhichao Chen, Zhaoran Liu, Licheng Pan, Hu Xu, Yilin Liao, Haozhe Li, Xinggao Liu

IEEE Trans. Ind. Informatics, December, 2024

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.

Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, November, 2024

Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation.

Hu Xu, Zhaoran Liu, Hao Wang, Changdi Li, Yunlong Niu, Wenhai Wang, Xinggao Liu

IEEE Trans. Ind. Informatics, October, 2024

An Accurate and Interpretable Framework for Trustworthy Process Monitoring.

Hao Wang, Zhiyu Wang, Yunlong Niu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Xinggao Liu

IEEE Trans. Artif. Intell., May, 2024

Integrating regular expressions into neural networks for relation extraction.

Zhaoran Liu, Xinjie Chen, Hao Wang, Xinggao Liu

Expert Syst. Appl., 2024

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation.

Hao Wang, Zhichao Chen, Yuan Shen, Jiajun Fan, Zhaoran Liu, Degui Yang, Xinggao Liu, Haoxuan Li

CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.

Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao

CoRR, 2024

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.

Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie

Proceedings of the ACM on Web Conference 2024, 2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.

Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting.

Hao Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation.

Zhaoran Liu, Haozhe Li, Hao Wang, Yilin Liao, Xinggao Liu, Gaojie Wu

Expert Syst. Appl., October, 2023

Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts.

Yuxin Huang, Eric Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu

IEEE Trans. Ind. Informatics, May, 2023

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.

Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie

CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.

Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie

CoRR, 2023

TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors.

Licheng Pan, Hao Wang, Zhichao Chen, Yuxing Huang, Xinggao Liu

CoRR, 2023

Optimal Transport for Treatment Effect Estimation.

Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.

Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.

Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach.

Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.

Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications.

Hao Wang, Zhichao Chen, Jiajun Fan, Yuxin Huang, Weiming Liu, Xinggao Liu

CoRR, 2022

ESCM²: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.

Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu

CoRR, 2022

ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation.

Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022