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ORCIDMin Li 0019
Person information
- affiliation: Chinese University of Hong Kong, CURE Lab, Hong Kong
Other persons with the same name
- Min Li — disambiguation page
- Min Li 0001 (aka: Min (Leon) Li) — IMEC, Heverlee, Belgium
- Min Li 0002 — George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA (and 1 more)
- Min Li 0003
![[0000-0002-2959-9147]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2959-9147")
— Xi'an Jiaotong University, School of Mechanical Engineering, China (and 2 more) - Min Li 0004 — East China University of Science and Technology, Department of Mathematics, Shanghai, China
- Min Li 0005 — Chongqing University of Posts and Telecommunications, Key Laboratory of Industrial Internet of Things and Networked Control, China (and 1 more)
- Min Li 0006 — Beijing Institute of Technology, Institute of Application Specific Instruction-Set Processors, China
- Min Li 0007 — Central South University, School of Information Science and Engineering, Changsha, China
- Min Li 0008 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China (and 4 more)
- Min Li 0009 — The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA (and 1 more)
- Min Li 0010 — California State University, College of Business Administration, Sacramento, CA, USA
- Min Li 0011 — Southwest Minzu University, College of Electrical and Information Engineering, Chengdu, China
- Min Li 0012 — University of Florida, Scalable Software Systems Laboratory, Gainesville, FL, USA
- Min Li 0013 — Virginia Tech, Blacksburg, VA, USA
- Min Li 0014 — University of California, San Diego, USA
- Min Li 0015 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
- Min Li 0016 — China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan, China (and 1 more)
- Min Li 0017 — Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China
- Min Li 0018 — Sanya Aviation and Tourism College, Sanya, China
- Min Li 0020 — Nanchang Institute Of Technology, School of Information Engineering, China
- Min Li 0021 — Chongqing University, College of Computer Science, MoE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China
- Min Li 0022 — Alibaba Group (and 2 more)
- Min Li 0023 — University of Electronic Science and Technology of China (UESTC), School of Automation Engineering, Chengdu, China
- Min Li 0024 — Shenzhen University, College of Mathematics and Computational Science, China (and 1 more)
- Min Li 0025 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Min Li 0026 — University of Electronic Science and Technology of China, Institute of Fundamental and Frontier Sciences, Chengdu, China
- Min Li 0027 — University of Electronic Science and Technology of China, MOE Key Lab for Neuroinformation, Chengdu, China (and 1 more)
- Min Li 0028 — Shandong Normal University, School of Mathematics and Statistics, Jinan, China
- Min Li 0029 — National University of Singapore, Department of Mechanical Engineering, Singapore
- Min Li 0030 — Xi'an Research Institute of High Technology, China (and 1 more)
- Min Li 0031 — Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China (and 1 more)
- Min Li 0032 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (and 1 more)
- Min Li 0033 — Qilu University of Technology, Shandong Computer Science Center, Shandong Academy of Sciences, Jinan, China
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Conference and Workshop Papers
- 2024
[c16]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. DATE 2024: 1-2- [c15]Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang:
AsymSAT: Accelerating SAT Solving with Asymmetric Graph-Based Model Prediction. DATE 2024: 1-2 - 2023
- [c14]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu:
On EDA-Driven Learning for SAT Solving. DAC 2023: 1-6 - [c13]Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformer-Based UNSAT Core Learning. ICCAD 2023: 1-4 - [c12]Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
DeepGate2: Functionality-Aware Circuit Representation Learning. ICCAD 2023: 1-9 - 2022
- [c11]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu:
DeepGate: learning neural representations of logic gates. DAC 2022: 667-672 - [c10]Minhao Liu, Ailing Zeng, Qiuxia Lai, Ruiyuan Gao, Min Li, Jing Qin, Qiang Xu:
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis. ICLR 2022 - [c9]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. ITC 2022: 194-203 - 2021
- [c8]Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu:
Skimming and Scanning for Efficient Action Recognition in Untrimmed Videos. CISP-BMEI 2021: 1-10 - [c7]Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu:
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. DAC 2021: 409-414 - [c6]Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. ITC 2021: 324-328 - [c5]Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. NeurIPS 2021: 20874-20886 - 2020
- [c4]Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu:
DeepDyve: Dynamic Verification for Deep Neural Networks. CCS 2020: 101-112 - [c3]Bo Luo, Min Li, Yu Li, Qiang Xu:
On Configurable Defense against Adversarial Example Attacks. ACM Great Lakes Symposium on VLSI 2020: 543-548 - 2019
- [c2]Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, Qiang Xu:
D2NN: a fine-grained dual modular redundancy framework for deep neural networks. ACSAC 2019: 138-147 - [c1]Ye Tian, Min Li, Qiang Xu:
Lightweight prediction based big/little design for efficient neural network inference. SEC 2019: 356
Informal and Other Publications
- 2024
- [i19]Wenji Fang, Mengming Li, Min Li, Zhiyuan Yan, Shang Liu, Hongce Zhang, Zhiyao Xie:
AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs. CoRR abs/2402.00386 (2024) - [i18]Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou:
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR abs/2403.07257 (2024) - [i17]Ruiyang Ma, Yuxin Yang, Ziqian Liu, Jiaxi Zhang, Min Li, Junhua Huang, Guojie Luo:
VerilogReader: LLM-Aided Hardware Test Generation. CoRR abs/2406.04373 (2024) - [i16]Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu:
DeepGate3: Towards Scalable Circuit Representation Learning. CoRR abs/2407.11095 (2024) - [i15]Sadaf Khan, Zhengyuan Shi, Ziyang Zheng, Min Li, Qiang Xu:
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations. CoRR abs/2411.00530 (2024) - [i14]Zhiyuan Yan, Wenji Fang, Mengming Li, Min Li, Shang Liu, Zhiyao Xie, Hongce Zhang:
AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs. CoRR abs/2411.14436 (2024) - 2023
- [i13]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. CoRR abs/2302.13608 (2023) - [i12]Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang:
Addressing Variable Dependency in GNN-based SAT Solving. CoRR abs/2304.08738 (2023) - [i11]Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
DeepGate2: Functionality-Aware Circuit Representation Learning. CoRR abs/2305.16373 (2023) - 2022
- [i10]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Qiang Xu:
DeepSAT: An EDA-Driven Learning Framework for SAT. CoRR abs/2205.13745 (2022) - [i9]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. CoRR abs/2206.06975 (2022) - [i8]Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformers for SAT Solving. CoRR abs/2209.00953 (2022) - 2021
- [i7]Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu:
Skimming and Scanning for Untrimmed Video Action Recognition. CoRR abs/2104.10492 (2021) - [i6]Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu:
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. CoRR abs/2105.04104 (2021) - [i5]Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. CoRR abs/2105.10113 (2021) - [i4]Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. CoRR abs/2111.13332 (2021) - [i3]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Yu Huang, Qiang Xu:
Representation Learning of Logic Circuits. CoRR abs/2111.14616 (2021) - 2020
- [i2]Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu:
DeepDyve: Dynamic Verification for Deep Neural Networks. CoRR abs/2009.09663 (2020) - 2018
- [i1]Bo Luo, Min Li, Yu Li, Qiang Xu:
On Configurable Defense against Adversarial Example Attacks. CoRR abs/1812.02737 (2018)
Coauthor Index
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