80 citations · 139 across the 28 of their papers we have counts for
7 papers · 1 filter
Optimal Transport for Treatment Effect Estimation
Hao Wang, Zhichao Chen, Jiajun Fan +7
Estimating conditional average treatment effect from observational data is highly challenging due to the existence of treatment selection bias. Prevalent methods mitigate this issu…
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
Xu Huang, Jianxun Lian, Hao Wang +2
Recommendation systems effectively guide users in locating their desired information within extensive content repositories. Generally, a recommendation model is optimized to enhanc…
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
Zhichao Chen, Leilei Ding, Zhixuan Chu +3
Time-Series Forecasting based on Cumulative Data (TSFCD) is a crucial problem in decision-making across various industrial scenarios. However, existing time-series forecasting meth…
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts
Yuxin Huang, Hao Wang, Zhaoran Liu +3
Accurate estimation of multiple quality variables is critical for building industrial soft sensor models, which have long been confronted with data efficiency and negative transfer…
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu +5
The exploration problem is one of the main challenges in deep reinforcement learning (RL). Recent promising works tried to handle the problem with population-based methods, which c…
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors
Licheng Pan, Hao Wang, Zhichao Chen +2
Multi-variate soft sensor seeks accurate estimation of multiple quality variables using measurable process variables, which have emerged as a key factor in improving the quality of…
An Accurate and Interpretable Framework for Trustworthy Process Monitoring
Hao Wang, Zhiyu Wang, Yunlong Niu +5
Trustworthy process monitoring seeks to build an accurate and interpretable monitoring framework, which is critical for ensuring the safety of energy conversion plant (ECP) that op…