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Aleatoric and Epistemic Discrimination in Classification


Jan 27, 2023
Hao Wang, Luxi He, Rui Gao, Flavio P. Calmon

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Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading


Jan 20, 2023
Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen

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* Accepted by IEEE ICC 2023 

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Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization


Jan 10, 2023
Hao Wang

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More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates


Jan 03, 2023
Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Hanqing Tao, Hao Wang, Tong Xu, Enhong Chen

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* 16 pages, 7 figures 

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Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets


Dec 27, 2022
Jinhao Li, Changlong Wang, Hao Wang

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First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting


Dec 15, 2022
Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang

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* NeurIPS 2022 All Things Attention Workshop 

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Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets


Dec 13, 2022
Muhammad Anwar, Changlong Wang, Frits de Nijs, Hao Wang

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* 2022 IEEE Power & Energy Society General Meeting (PESGM) 

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Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning


Dec 13, 2022
Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang

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* The 14th ACM International Conference on Future Energy Systems (ACM e-Energy), 2023 

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Robust Perception through Equivariance


Dec 12, 2022
Chengzhi Mao, Lingyu Zhang, Abhishek Joshi, Junfeng Yang, Hao Wang, Carl Vondrick

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Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems


Dec 06, 2022
Hao Wang

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