On-chip hybrid power supply system for wireless sensor nodes. - Wulong Liu; Yu Wang 002; Wei Liu 015; Yuchun Ma; Yuan Xie 001; Huazhong Yang (ASP-DAC, 2011)

TSV-aware topology generation for 3D Clock Tree Synthesis. - Wulong Liu; Haixiao Du; Yu Wang 002; Yuchun Ma; Yuan Xie 001; Jinguo Quan; Huazhong Yang (ISQED, 2013)

Whitespace-aware TSV arrangement in 3D clock tree synthesis. - Xin Li 001; Wulong Liu; Haixiao Du; Yu Wang 002; Yuchun Ma; Huazhong Yang (ISVLSI, 2013)

Design Methodologies for 3D Mixed Signal Integrated Circuits: a Practical 12-bit SAR ADC Design Case. - Wulong Liu; Guoqing Chen; Xue Han; Yu Wang 002; Yuan Xie 001; Huazhong Yang (DAC, 2014)

Exploration of Electrical and Novel Optical Chip-to-Chip Interconnects. - Wulong Liu; Yu Wang 002; Xue Feng; Yidong Huang; Huazhong Yang; Yuan Xie 001; Guoqing Chen (IEEE Des. Test, 2014)

On-Chip Hybrid Power Supply System for Wireless Sensor Nodes. - Wulong Liu; Yu Wang 002; Yuchun Ma; Yuan Xie 001; Huazhong Yang (ACM J. Emerg. Technol. Comput. Syst., 2014)

Modeling and optimization of low power resonant clock mesh. - Wulong Liu; Guoqing Chen; Yu Wang 002; Huazhong Yang (ASP-DAC, 2015)

Whitespace-Aware TSV Arrangement in 3-D Clock Tree Synthesis. - Wulong Liu; Yu Wang 002; Guoqing Chen; Yuchun Ma; Yuan Xie 001; Huazhong Yang (IEEE Trans. Very Large Scale Integr. Syst., 2015)

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Hangyu Mao; Wulong Liu; Jianye Hao; Jun Luo 009; Dong Li 016; Zhengchao Zhang; Jun Wang 012; Zhen Xiao (AAAI, 2020)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. - Haotian Fu; Hongyao Tang; Jianye Hao; Wulong Liu; Chen Chen 077 (DAI, 2020)

Multi-Agent Interactions Modeling with Correlated Policies. - Minghuan Liu; Ming Zhou 006; Weinan Zhang 001; Yuzheng Zhuang; Jun Wang 012; Wulong Liu; Yong Yu 001 (ICLR, 2020)

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. - Cong Fei; Bin Wang 034; Yuzheng Zhuang; Zongzhang Zhang; Jianye Hao; Hongbo Zhang; Xuewu Ji; Wulong Liu (IJCAI, 2020)

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Zongzhang Zhang; Yujing Hu; Yingfeng Chen; Changjie Fan; Weixun Wang; Wulong Liu; Zhaodong Wang; Jiajie Peng (IJCAI, 2020)

A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections. - Shixiong Kai; Bin Wang 034; Dong Chen; Jianye Hao; Hongbo Zhang; Wulong Liu (IV, 2020)

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Ben Liao; Kun Shao; Guangyong Chen; Wulong Liu; Hongyao Tang (CoRR, 2020)

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Wulong Liu; Yujing Hu; Yingfeng Chen (CoRR, 2020)

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Wulong Liu; Yaodong Yang 002 (CoRR, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Addressing Action Oscillations through Learning Policy Inertia. - Chen Chen 077; Hongyao Tang; Jianye Hao; Wulong Liu; Zhaopeng Meng (AAAI, 2021)

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. - Haotian Fu; Hongyao Tang; Jianye Hao; Chen Chen 077; Xidong Feng; Dong Li 016; Wulong Liu (AAAI, 2021)

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. - Hongyao Tang; Zhaopeng Meng; Guangyong Chen; Pengfei Chen 003; Chen Chen 077; Yaodong Yang 002; Luo Zhang; Wulong Liu; Jianye Hao (AAAI, 2021)

LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). - Chenyang Wu 001; Rui Kong; Guoyu Yang; Xianghan Kong; Zongzhang Zhang; Yang Yu 001; Dong Li 007; Wulong Liu (AAAI, 2021)

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). - Feng Xu 007; Shengyi Jiang; Hao Yin; Zongzhang Zhang; Yang Yu 001; Ming Li 005; Dong Li 016; Wulong Liu (AAAI, 2021)

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. - Amur Ghose; Vincent Zhang; Yingxue Zhang 001; Dong Li 016; Wulong Liu; Mark Coates (ICCAD, 2021)

Relational Navigation Learning in Continuous Action Space among Crowds. - Xueyou Zhang; Wei Xi; Xian Guo; Yongchun Fang; Bin Wang 034; Wulong Liu; Jianye Hao (ICRA, 2021)

Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. - Zhitao Wang; Yuzheng Zhuang; Qiang Gu; Dong Chen; Hongbo Zhang; Wulong Liu (IROS, 2021)

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. - Xinlin Li; Bang Liu; Yaoliang Yu; Wulong Liu; Chunjing Xu; Vahid Partovi Nia (NeurIPS, 2021)

Model-Based Reinforcement Learning via Imagination with Derived Memory. - Yao Mu 001; Yuzheng Zhuang; Bin Wang 034; Guangxiang Zhu; Wulong Liu; Jianyu Chen; Ping Luo 002; Shengbo Li 001; Chongjie Zhang; Jianye Hao (NeurIPS, 2021)

Adaptive Online Packing-guided Search for POMDPs. - Chenyang Wu 001; Guoyu Yang; Zongzhang Zhang; Yang Yu 001; Dong Li 016; Wulong Liu; Jianye Hao (NeurIPS, 2021)

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Hangyu Mao; Dong Li 016; Wulong Liu; Yingfeng Chen; Yujing Hu; Changjie Fan; Chengwei Zhang 001 (NeurIPS, 2021)

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. - Zhihao Ma; Yuzheng Zhuang; Paul Weng; Hankz Hankui Zhuo; Dong Li 016; Wulong Liu; Jianye Hao (CoRR, 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. - Xinlin Li; Bang Liu; Yaoliang Yu; Wulong Liu; Chunjing Xu; Vahid Partovi Nia (CoRR, 2021)

Neuro-Symbolic Hierarchical Rule Induction. - Claire Glanois; Xuening Feng; Zhaohui Jiang; Paul Weng; Matthieu Zimmer; Dong Li 016; Wulong Liu (CoRR, 2021)

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Changmin Yu; Hangyu Mao; Wulong Liu; Yaodong Yang 002; Wenyuan Tao; Li Wang (AAAI, 2022)

LHNN: lattice hypergraph neural network for VLSI congestion prediction. - Bowen Wang; Guibao Shen; Dong Li 016; Jianye Hao; Wulong Liu; Yu Huang 005; Hongzhong Wu; Yibo Lin; Guangyong Chen; Pheng-Ann Heng (DAC, 2022)

Neuro-Symbolic Hierarchical Rule Induction. - Claire Glanois; Zhaohui Jiang; Xuening Feng; Paul Weng; Matthieu Zimmer; Dong Li 016; Wulong Liu; Jianye Hao (ICML, 2022)

Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. - Mohammad Amini; Zhanguang Zhang; Surya Penmetsa; Yingxue Zhang 001; Jianye Hao; Wulong Liu (KDD, 2022)

Conformalized Fairness via Quantile Regression. - Meichen Liu; Lei Ding 013; Dengdeng Yu; Wulong Liu; Linglong Kong; Bei Jiang (NeurIPS, 2022)

Research on Air Quality Classification Based on KNN and CART. - Cuihua Tian; Wulong Liu; Chaoxu Lin; Islam Al-Qudah; Weisi Chen (ICBAR, 2023)

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. - Ming Yan 010; Junjie Chen 003; Hangyu Mao; Jiajun Jiang; Jianye Hao; Xingjian Li 007; Zhao Tian; Zhichao Chen; Dong Li 016; Zhangkong Xian; Yanwei Guo; Wulong Liu; et al. (ICSE-SEIP, 2023)

Mathematical Challenges in Deep Learning. - Vahid Partovi Nia; Guojun Zhang; Ivan Kobyzev; Michael R. Metel; Xinlin Li; Ke Sun 013; Sobhan Hemati; Masoud Asgharian; Linglong Kong; Wulong Liu; Boxing Chen (CoRR, 2023)

Differentiable Logic Machines. - Matthieu Zimmer; Xuening Feng; Claire Glanois; Zhaohui Jiang; Jianyi Zhang; Paul Weng; Dong Li 016; Jianye Hao; Wulong Liu (Trans. Mach. Learn. Res., 2023)

Evaluating the Inclusion of Technical Indicators for Deep Learning-Empowered Stock Price Prediction in the Chinese Market. - Wulong Liu; Jiaxin Zheng; Junjie Chen 003; Weisi Chen (FinanceCom, 2024)

Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. - Surya Penmetsa; Fahad Rahman Amik; Zhanguang Zhang; Yingying Fu; Yingxue Zhang 001; Wulong Liu; Jianye Hao (ACM Great Lakes Symposium on VLSI, 2024)

Distributional Reinforcement Learning with Regularized Wasserstein Loss. - Ke Sun 013; Yingnan Zhao; Wulong Liu; Bei Jiang; Linglong Kong (NeurIPS, 2024)

FlatQuant: Flatness Matters for LLM Quantization. - Yuxuan Sun; Ruikang Liu; Haoli Bai; Han Bao; Kang Zhao; Yuening Li; Jiaxin Hu; Xianzhi Yu; Lu Hou 002; Chun Yuan; Xin Jiang 002; Wulong Liu; et al. (CoRR, 2024)

MixPE: Quantization and Hardware Co-design for Efficient LLM Inference. - Yu Zhang 189; Mingzi Wang; Lancheng Zou; Wulong Liu; Hui-Ling Zhen; Mingxuan Yuan; Bei Yu 001 (CoRR, 2024)

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. - Tianze Zhou; Fubiao Zhang; Kun Shao; Zipeng Dai; Kai Li 022; Wenhan Huang; Weixun Wang; Bin Wang 034; Dong Li 016; Wulong Liu; Jianye Hao (IEEE Trans. Games, 2024)

A survey on interpretable reinforcement learning. - Claire Glanois; Paul Weng; Matthieu Zimmer; Dong Li 016; Tianpei Yang; Jianye Hao; Wulong Liu (Mach. Learn., 2024)

ACEBench: Who Wins the Match Point in Tool Learning? - Chen Chen 017; Xinlong Hao; Weiwen Liu; Xu Huang 008; Xingshan Zeng; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Yuefeng Huang; Wulong Liu; Xinzhi Wang; et al. (CoRR, 2025)

AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference. - Qingyue Yang; Jie Wang 005; Xing Li; Zhihai Wang; Chen Chen 077; Lei Chen 031; Xianzhi Yu; Wulong Liu; Jianye Hao; Mingxuan Yuan; Bin Li 025 (CoRR, 2025)

CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference. - Zehua Pei; Lancheng Zou; Hui-Ling Zhen; Xianzhi Yu; Wulong Liu; Sinno Jialin Pan; Mingxuan Yuan; Bei Yu 001 (CoRR, 2025)

KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. - Xing Li; Zeyu Xing 002; Yiming Li; Linping Qu; Hui-Ling Zhen; Wulong Liu; Yiwu Yao; Sinno Jialin Pan; Mingxuan Yuan (CoRR, 2025)

SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention. - Hong Yankun; Xing Li; Hui-Ling Zhen; Xianzhi Yu; Wulong Liu; Mingxuan Yuan (CoRR, 2025)

FCoT-VL:Advancing Text-oriented Large Vision-Language Models with Efficient Visual Token Compression. - Jianjian Li; Junquan Fan; Feng Tang; Gang Huang; Shitao Zhu; Songlin Liu; Nian Xie; Wulong Liu; Yong Liao (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling. - Weizhe Lin; Xing Li; Zhiyuan Yang 003; Xiaojin Fu; Hui-Ling Zhen; Yaoyuan Wang; Xianzhi Yu; Wulong Liu; Xiaosong Li; Mingxuan Yuan (CoRR, 2025)

PreMoe: Lightening MoEs on Constrained Memory by Expert Pruning and Retrieval. - Zehua Pei; Yingchun Zhang; Hui-Ling Zhen; Xianzhi Yu; Wulong Liu; Sinno Jialin Pan; Mingxuan Yuan; Bei Yu 001 (CoRR, 2025)

Faster and Better LLMs via Latency-Aware Test-Time Scaling. - Zili Wang 005; Tianyu Zhang; Lei Zhu; Haoli Bai; Lu Hou; Shiming Xiang; Xianzhi Yu; Wulong Liu (CoRR, 2025)

Leveraging large language model as news sentiment predictor in stock markets: a knowledge-enhanced strategy. - Weisi Chen; Wulong Liu; Jiaxin Zheng; Xu Zhang (Discov. Comput., 2025)