Wulong Liu - RankMe

81 papers A* 23A 2B 1C 1Misc 1Journal 43Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning. CoRR Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong
2025	J	`jnl`	ACEBench: Who Wins the Match Point in Tool Learning? CoRR Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Yuefeng Huang, Wulong Liu, Xinzhi Wang, Defu Lian, Baoqun Yin, Yasheng Wang, Wu Liu
2025	J	`jnl`	AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference. CoRR Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li
2025	J	`jnl`	CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference. CoRR Zehua Pei, Lancheng Zou, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025	J	`jnl`	FCoT-VL:Advancing Text-oriented Large Vision-Language Models with Efficient Visual Token Compression. CoRR Jianjian Li, Junquan Fan, Feng Tang, Gang Huang, Shitao Zhu, Songlin Liu, Nian Xie, Wulong Liu, Yong Liao
2025	—	`conf`	Faster and Better LLMs via Latency-Aware Test-Time Scaling. EMNLP (Findings) Zili Wang, Tianyu Zhang, Haoli Bai, Lu Hou, Xianzhi Yu, Wulong Liu, Shiming Xiang, Lei Zhu
2025	J	`jnl`	Faster and Better LLMs via Latency-Aware Test-Time Scaling. CoRR Zili Wang, Tianyu Zhang, Lei Zhu, Haoli Bai, Lu Hou, Shiming Xiang, Xianzhi Yu, Wulong Liu
2025	A*	`conf`	FlatQuant: Flatness Matters for LLM Quantization. ICML 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
2025	B	`conf`	HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference. ICPADS Haoran Lin, Xianzhi Yu, Kang Zhao, Han Bao, Zongyuan Zhan, Ting Hu, Wulong Liu, Zekun Yin, Xin Li, Weiguo Liu
2025	J	`jnl`	HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference. CoRR Haoran Lin, Xianzhi Yu, Kang Zhao, Han Bao, Zongyuan Zhan, Ting Hu, Wulong Liu, Zekun Yin, Xin Li, Weiguo Liu
2025	A*	`conf`	KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. ICML Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Yiwu Yao, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan
2025	J	`jnl`	KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. CoRR Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Wulong Liu, Yiwu Yao, Sinno Jialin Pan, Mingxuan Yuan
2025	J	`jnl`	Leveraging large language model as news sentiment predictor in stock markets: a knowledge-enhanced strategy. Discov. Comput. Weisi Chen, Wulong Liu, Jiaxin Zheng, Xu Zhang
2025	J	`jnl`	Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. CoRR Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan
2025	J	`jnl`	Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. CoRR Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu
2025	J	`jnl`	PreMoe: Lightening MoEs on Constrained Memory by Expert Pruning and Retrieval. CoRR Zehua Pei, Yingchun Zhang, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025	J	`jnl`	SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention. CoRR Hong Yankun, Xing Li, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Mingxuan Yuan
2025	J	`jnl`	TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling. CoRR Weizhe Lin, Xing Li, Zhiyuan Yang, Xiaojin Fu, Hui-Ling Zhen, Yaoyuan Wang, Xianzhi Yu, Wulong Liu, Xiaosong Li, Mingxuan Yuan
2024	J	`jnl`	A survey on interpretable reinforcement learning. Mach. Learn. Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2024	J	`jnl`	Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2024	A*	`conf`	Distributional Reinforcement Learning with Regularized Wasserstein Loss. NeurIPS Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong
2024	—	`conf`	Evaluating the Inclusion of Technical Indicators for Deep Learning-Empowered Stock Price Prediction in the Chinese Market. FinanceCom Wulong Liu, Jiaxin Zheng, Junjie Chen, Weisi Chen
2024	J	`jnl`	FlatQuant: Flatness Matters for LLM Quantization. CoRR 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
2024	—	`conf`	Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao
2024	J	`jnl`	MixPE: Quantization and Hardware Co-design for Efficient LLM Inference. CoRR Yu Zhang, Mingzi Wang, Lancheng Zou, Wulong Liu, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2023	—	`conf`	Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 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
2023	J	`jnl`	Differentiable Logic Machines. Trans. Mach. Learn. Res. Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
2023	J	`jnl`	Mathematical Challenges in Deep Learning. CoRR Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
2023	—	`conf`	Research on Air Quality Classification Based on KNN and CART. ICBAR Cuihua Tian, Wulong Liu, Chaoxu Lin, Islam Al-Qudah, Weisi Chen
2022	A*	`conf`	Conformalized Fairness via Quantile Regression. NeurIPS Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
2022	J	`jnl`	Conformalized Fairness via Quantile Regression. CoRR Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
2022	A*	`conf`	Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. KDD Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu
2022	J	`jnl`	LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	Neuro-Symbolic Hierarchical Rule Induction. ICML Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
2022	A*	`conf`	What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021	J	`jnl`	A Survey on Interpretable Reinforcement Learning. CoRR Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2021	A*	`conf`	Adaptive Online Packing-guided Search for POMDPs. NeurIPS Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
2021	A*	`conf`	Addressing Action Oscillations through Learning Policy Inertia. AAAI Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021	J	`jnl`	Addressing Action Oscillations through Learning Policy Inertia. CoRR Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021	A*	`conf`	An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR 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
2021	J	`jnl`	Differentiable Logic Machines. CoRR Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
2021	A*	`conf`	Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
2021	A*	`conf`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
2021	J	`jnl`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
2021	A	`conf`	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
2021	J	`jnl`	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
2021	A*	`conf`	LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). AAAI Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu
2021	J	`jnl`	Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
2021	A*	`conf`	Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
2021	J	`jnl`	Neuro-Symbolic Hierarchical Rule Induction. CoRR Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu
2021	A	`conf`	Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. IROS Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
2021	J	`jnl`	Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. CoRR Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
2021	A*	`conf`	Relational Navigation Learning in Continuous Action Space among Crowds. ICRA Xueyou Zhang, Wei Xi, Xian Guo, Yongchun Fang, Bin Wang, Wulong Liu, Jianye Hao
2021	J	`jnl`	S CoRR Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	A*	`conf`	S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
2021	A*	`conf`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	C	`conf`	A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections. IV Shixiong Kai, Bin Wang, Dong Chen, Jianye Hao, Hongbo Zhang, Wulong Liu
2020	A*	`conf`	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
2020	J	`jnl`	Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
2020	—	`conf`	MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
2020	A*	`conf`	Multi-Agent Interactions Modeling with Correlated Policies. ICLR Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
2020	J	`jnl`	Multi-Agent Interactions Modeling with Correlated Policies. CoRR Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
2020	A*	`conf`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2020	J	`jnl`	Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
2020	Misc	`conf`	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 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 I. 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
2020	J	`jnl`	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR 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, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2020	J	`jnl`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	A*	`conf`	Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
2020	J	`jnl`	Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
2020	J	`jnl`	What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
2019	J	`jnl`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2015	—	`conf`	Modeling and optimization of low power resonant clock mesh. ASP-DAC Wulong Liu, Guoqing Chen, Yu Wang, Huazhong Yang
2015	J	`jnl`	Whitespace-Aware TSV Arrangement in 3-D Clock Tree Synthesis. IEEE Trans. Very Large Scale Integr. Syst. Wulong Liu, Yu Wang, Guoqing Chen, Yuchun Ma, Yuan Xie, Huazhong Yang
2014	A*	`conf`	Design Methodologies for 3D Mixed Signal Integrated Circuits: a Practical 12-bit SAR ADC Design Case. DAC Wulong Liu, Guoqing Chen, Xue Han, Yu Wang, Yuan Xie, Huazhong Yang
2014	J	`jnl`	Exploration of Electrical and Novel Optical Chip-to-Chip Interconnects. IEEE Des. Test Wulong Liu, Yu Wang, Xue Feng, Yidong Huang, Huazhong Yang, Yuan Xie, Guoqing Chen
2014	J	`jnl`	On-Chip Hybrid Power Supply System for Wireless Sensor Nodes. ACM J. Emerg. Technol. Comput. Syst. Wulong Liu, Yu Wang, Yuchun Ma, Yuan Xie, Huazhong Yang
2013	—	`conf`	TSV-aware topology generation for 3D Clock Tree Synthesis. ISQED Wulong Liu, Haixiao Du, Yu Wang, Yuchun Ma, Yuan Xie, Jinguo Quan, Huazhong Yang
2013	—	`conf`	Whitespace-aware TSV arrangement in 3D clock tree synthesis. ISVLSI Xin Li, Wulong Liu, Haixiao Du, Yu Wang, Yuchun Ma, Huazhong Yang
2011	—	`conf`	On-chip hybrid power supply system for wireless sensor nodes. ASP-DAC Wulong Liu, Yu Wang, Wei Liu, Yuchun Ma, Yuan Xie, Huazhong Yang