Min Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Spatio Temporal Interest Points

Top Venues

Publications

Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu
DeepGate3: Towards Scalable Circuit Representation Learning. CoRR (2024)
Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang
AsymSAT: Accelerating SAT Solving with Asymmetric Graph-Based Model Prediction. DATE (2024)
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)
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)
Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu
On EDA-Driven Learning for SAT Solving. DAC (2023)
Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. CoRR (2022)
Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu
DeepGate: learning neural representations of logic gates. DAC (2022)
Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
SATformer: Transformers for SAT Solving. CoRR (2022)
Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Qiang Xu
DeepSAT: An EDA-Driven Learning Framework for SAT. CoRR (2022)
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. CoRR (2021)
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. NeurIPS (2021)
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
Skimming and Scanning for Untrimmed Video Action Recognition. CoRR (2021)
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)
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)
Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu
Testability-Aware Low Power Controller Design with Evolutionary Learning. ITC (2021)
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. CoRR (2021)
Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu
Testability-Aware Low Power Controller Design with Evolutionary Learning. CoRR (2021)
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CoRR (2020)
Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. ACM Great Lakes Symposium on VLSI (2020)
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CCS (2020)
Ye Tian, Min Li, Qiang Xu
Lightweight prediction based big/little design for efficient neural network inference. SEC (2019)
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)
Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. CoRR (2018)