Wulong Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 53

Top Topics

Reinforcement Learning

Top Venues

Publications

Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A survey on interpretable reinforcement learning. Mach. Learn. 113 (8) (2024)
Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI (2024)
Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16 (2) (2024)
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
Mathematical Challenges in Deep Learning. CoRR (2023)
Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP (2023)
Cuihua Tian, Wulong Liu, Chaoxu Lin, Islam Al-Qudah, Weisi Chen
Research on Air Quality Classification Based on KNN and CART. ICBAR (2023)
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
Differentiable Logic Machines. Trans. Mach. Learn. Res. 2023 (2023)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI (2022)
Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
Neuro-Symbolic Hierarchical Rule Induction. ICML (2022)
Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. KDD (2022)
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Conformalized Fairness via Quantile Regression. NeurIPS (2022)
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Conformalized Fairness via Quantile Regression. CoRR (2022)
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC (2022)
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR (2022)
Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
A Survey on Interpretable Reinforcement Learning. CoRR (2021)
Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. IROS (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR (2021)
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
Differentiable Logic Machines. CoRR (2021)
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR (2021)
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
Addressing Action Oscillations through Learning Policy Inertia. AAAI (2021)
Xueyou Zhang, Wei Xi, Xian Guo, Yongchun Fang, Bin Wang, Wulong Liu, Jianye Hao
Relational Navigation Learning in Continuous Action Space among Crowds. ICRA (2021)
Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI (2021)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR (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
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR (2021)
Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. CoRR (2021)
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
Addressing Action Oscillations through Learning Policy Inertia. CoRR (2021)
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR (2021)
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI (2021)
Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
Adaptive Online Packing-guided Search for POMDPs. NeurIPS (2021)
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI (2021)
Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS (2021)
Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu
Neuro-Symbolic Hierarchical Rule Induction. CoRR (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD (2021)
Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). AAAI (2021)
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
Multi-Agent Interactions Modeling with Correlated Policies. ICLR (2020)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR (2020)
Shixiong Kai, Bin Wang, Dong Chen, Jianye Hao, Hongbo Zhang, Wulong Liu
A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections. IV (2020)
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Imani Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR (2020)
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI (2020)
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI (2020)
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI (2020)
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
Multi-Agent Interactions Modeling with Correlated Policies. CoRR (2020)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR (2020)
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Imani Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL (2020)
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR (2020)
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR (2020)
Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI (2020)
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR (2019)
Wulong Liu, Guoqing Chen, Yu Wang, Huazhong Yang
Modeling and optimization of low power resonant clock mesh. ASP-DAC (2015)
Wulong Liu, Yu Wang, Guoqing Chen, Yuchun Ma, Yuan Xie, Huazhong Yang
Whitespace-Aware TSV Arrangement in 3-D Clock Tree Synthesis. IEEE Trans. Very Large Scale Integr. Syst. 23 (9) (2015)
Wulong Liu, Yu Wang, Yuchun Ma, Yuan Xie, Huazhong Yang
On-Chip Hybrid Power Supply System for Wireless Sensor Nodes. ACM J. Emerg. Technol. Comput. Syst. 10 (3) (2014)
Wulong Liu, Guoqing Chen, Xue Han, Yu Wang, Yuan Xie, Huazhong Yang
Design Methodologies for 3D Mixed Signal Integrated Circuits: a Practical 12-bit SAR ADC Design Case. DAC (2014)
Wulong Liu, Yu Wang, Xue Feng, Yidong Huang, Huazhong Yang, Yuan Xie, Guoqing Chen
Exploration of Electrical and Novel Optical Chip-to-Chip Interconnects. IEEE Des. Test 31 (5) (2014)
Wulong Liu, Haixiao Du, Yu Wang, Yuchun Ma, Yuan Xie, Jinguo Quan, Huazhong Yang
TSV-aware topology generation for 3D Clock Tree Synthesis. ISQED (2013)
Xin Li, Wulong Liu, Haixiao Du, Yu Wang, Yuchun Ma, Huazhong Yang
Whitespace-aware TSV arrangement in 3D clock tree synthesis. ISVLSI (2013)
Wulong Liu, Yu Wang, Wei Liu, Yuchun Ma, Yuan Xie, Huazhong Yang
On-chip hybrid power supply system for wireless sensor nodes. ASP-DAC (2011)