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Wulong Liu
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Journal Articles
- 2024
- [j6]Claire Glanois, Paul Weng
, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A survey on interpretable reinforcement learning. Mach. Learn. 113(8): 5847-5890 (2024) - [j5]Tianze Zhou
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - 2023
- [j4]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) - 2015
- [j3]Wulong Liu, Yu Wang
Whitespace-Aware TSV Arrangement in 3-D Clock Tree Synthesis. IEEE Trans. Very Large Scale Integr. Syst. 23(9): 1842-1853 (2015) - 2014
- [j2]Wulong Liu, Yu Wang, Xue Feng
Exploration of Electrical and Novel Optical Chip-to-Chip Interconnects. IEEE Des. Test 31(5): 28-35 (2014) - [j1]Wulong Liu, Yu Wang
On-Chip Hybrid Power Supply System for Wireless Sensor Nodes. ACM J. Emerg. Technol. Comput. Syst. 10(3): 23:1-23:22 (2014)
Conference and Workshop Papers
- 2024
- [c32]Surya Penmetsa
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI 2024: 287-291 - 2023
- [c31]Cuihua Tian
Research on Air Quality Classification Based on KNN and CART. ICBAR 2023: 75-80 - [c30]Ming Yan
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 2023: 343-354 - 2022
- [c29]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: 8441-8449 - [c28]Bowen Wang
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC 2022: 1297-1302 - [c27]Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao:
Neuro-Symbolic Hierarchical Rule Induction. ICML 2022: 7583-7615 - [c26]Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu:
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. KDD 2022: 2692-2702 - [c25]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. NeurIPS 2022 - 2021
- [c24]Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. AAAI 2021: 7020-7027 - [c23]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: 7457-7465 - [c22]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: 9834-9842 - [c21]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: 15927-15928 - [c20]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: 15937-15938 - [c19]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD 2021: 1-9 - [c18]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: 3175-3181 - [c17]Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu:
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. IROS 2021: 4532-4537 - [c16]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: 9493-9505 - [c15]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: 14555-14566 - [c14]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: 17037-17048 - [c13]Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao:
Adaptive Online Packing-guided Search for POMDPs. NeurIPS 2021: 28419-28430 - 2020
- [c12]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: 7219-7226 - [c11]Ming Zhou
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c10]Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen:
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI 2020: 29-39 - [c9]Minghuan Liu, Ming Zhou
Multi-Agent Interactions Modeling with Correlated Policies. ICLR 2020 - [c8]Cong Fei, Bin Wang
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI 2020: 2929-2935 - [c7]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [c6]Shixiong Kai, Bin Wang
A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections. IV 2020: 1583-1588 - 2015
- [c5]Wulong Liu, Guoqing Chen, Yu Wang, Huazhong Yang:
Modeling and optimization of low power resonant clock mesh. ASP-DAC 2015: 478-483 - 2014
- [c4]Wulong Liu, Guoqing Chen, Xue Han, Yu Wang
Design Methodologies for 3D Mixed Signal Integrated Circuits: a Practical 12-bit SAR ADC Design Case. DAC 2014: 166:1-166:6 - 2013
- [c3]Wulong Liu, Haixiao Du, Yu Wang
TSV-aware topology generation for 3D Clock Tree Synthesis. ISQED 2013: 300-307 - [c2]Xin Li, Wulong Liu, Haixiao Du, Yu Wang
Whitespace-aware TSV arrangement in 3D clock tree synthesis. ISVLSI 2013: 115-120 - 2011
- [c1]Wulong Liu, Yu Wang
On-chip hybrid power supply system for wireless sensor nodes. ASP-DAC 2011: 43-48
Informal and Other Publications
- 2024
- [i22]Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao:
FlatQuant: Flatness Matters for LLM Quantization. CoRR abs/2410.09426 (2024) - 2023
- [i21]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 abs/2303.15464 (2023) - 2022
- [i20]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 abs/2203.12831 (2022) - [i19]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. CoRR abs/2210.02015 (2022) - 2021
- [i18]Matthieu Zimmer, Xuening Feng, Claire Glanois
Differentiable Logic Machines. CoRR abs/2102.11529 (2021) - [i17]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 abs/2103.02225 (2021) - [i16]Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. CoRR abs/2103.02287 (2021) - [i15]Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao:
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR abs/2103.08228 (2021) - [i14]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 abs/2106.00517 (2021) - [i13]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR abs/2107.03453 (2021) - [i12]Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu:
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. CoRR abs/2107.03600 (2021) - [i11]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR abs/2111.05941 (2021) - [i10]Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A Survey on Interpretable Reinforcement Learning. CoRR abs/2112.13112 (2021) - [i9]Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu:
Neuro-Symbolic Hierarchical Rule Induction. CoRR abs/2112.13418 (2021) - 2020
- [i8]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. CoRR abs/2001.03415 (2020) - [i7]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i6]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 abs/2002.08030 (2020) - [i5]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 abs/2005.10622 (2020) - [i4]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 abs/2009.13891 (2020) - [i3]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 abs/2010.09536 (2020) - [i2]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 I. Cowen-Rivers, Zheng Tian, Daniel Palenicek
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020) - 2019
- [i1]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR abs/1912.01160 (2019)
Coauthor Index
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