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Conformalized Fairness via Quantile Regression


Oct 05, 2022
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang

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* 5 figures, 2 tables 

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LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction


Mar 24, 2022
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng Ann Heng

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* Accepted as a conference paper in DAC 2022; 6 pages, 4 figures 

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Neuro-Symbolic Hierarchical Rule Induction


Dec 26, 2021
Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu

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* 10 pages, Figures et references 

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A Survey on Interpretable Reinforcement Learning


Dec 24, 2021
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

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Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction


Nov 10, 2021
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates

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* Accepted and presented at ICCAD 2021 

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Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles


Jul 08, 2021
Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu

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$S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks


Jul 07, 2021
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

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Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment


Jun 03, 2021
Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

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* 12 pages, 9 figures 

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Learning Symbolic Rules for Interpretable Deep Reinforcement Learning


Mar 16, 2021
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao

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