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ORCIDMeng Li 0004
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): Meta / Facebook
- affiliation (former): University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
Other persons with the same name
- Meng Li — disambiguation page
- Meng Li 0001 — Iowa State University, Ames, IA, USA
- Meng Li 0002
![[0000-0003-2123-2444]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2123-2444")
— Rice University, Department of Statistics, Houston, TX, USA (and 2 more) - Meng Li 0003 — École Polytechnique Montreal, Department of Electrical Engineering, QC, Canada
- Meng Li 0005 — Chinese Academy of Sciences, Beijing Institute of Genomics, Beijing, China
- Meng Li 0006 — Hefei University of Technology, Key Laboratory of Knowledge Engineering with Big Data, Anhui, China (and 1 more)
- Meng Li 0007 — Beijing University of Technology, Faculty of Information Technology, China
- Meng Li 0008 — Princeton University, Department of Astrophysical Science, NJ, USA (and 1 more)
- Meng Li 0009 — Beijing Jiaotong University, School of Mechanical, Electronic and Control Engineering, China
- Meng Li 0010 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Meng Li 0011 — University of Electronic Science and Technology of China, School of Automation Engineering / Institute of Electric Vehicle Driving System and Safety Technology, Chengdu, China
- Meng Li 0012 — IMEC, Perceptive Systems Department, Leuven, Belgium (and 1 more)
- Meng Li 0013 — Indiana University, Medical Sciences, Bloomington, IN, USA
- Meng Li 0014 — Peking University, Center for Data Science, Beijing, China
- Meng Li 0015 — Hong Kong Baptist University, Department of Computer Science, Hong Kong
- Meng Li 0016 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
- Meng Li 0017 — Tsinghua University, Departmentof Civil Engineering, Beijing, China (and 1 more)
- Meng Li 0018 — Hefei University of Technology, School of Computer Science and Information Engineering, China
- Meng Li 0019 — Loyola Marymount University, College of Communication and Fine Arts, Los Angeles, CA, USA
- Meng Li 0020 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical Systems and Vibration, China
- Meng Li 0021 — Hebei University of Economics and Business, School of Mathematics and Statistics, Shijiazhuang, China (and 1 more)
- Meng Li 0022 — University of Texas at Dallas, School of Management, TX, USA
- Meng Li 0023 — Beijing Jiaotong University, School of Electrical Engineering, China (and 1 more)
- Meng Li 0024 — University College Dublin, School of Electrical and Electronic Engineering, Ireland
- Meng Li 0025 — Zhengzhou University, School of Mathematics and Statistics, China (and 1 more)
- Meng Li 0026 — Guangdong University of Technology, School of Mechanical and Electrical Engineering, Guangzhou, China
- Meng Li 0027 — Delft University of Technology, The Netherlands (and 1 more)
- Meng Li 0028 — Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, CAS-MPG Partner Institute for Computational Biology, China
- Meng Li 0029 — Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network Technologies, China
- Meng Li 0030 — Tsinghua University, Institute of Public Safety Research, Beijing, China
- Meng Li 0031 — China University of Mining and Technology (Beijing), School of MEIE, China
- Meng Li 0032 — Beijing Normal University, School of Systems Science, China
- Meng Li 0033 — Southeast University, School of Transportation, Nanjing, China
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2020 – today
- 2024
[j15]Xin Qiao, Qingyu Guo, Xiyuan Tang, Jiahao Song, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang:
A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1706-1718 (2024)- [j14]Qingyu Guo, Haoyang Luo, Meng Li, Xiyuan Tang, Yuan Wang:
CASCADE: A Framework for CNN Accelerator Synthesis With Concatenation and Refreshing Dataflow. IEEE Trans. Circuits Syst. I Regul. Pap. 71(11): 5235-5248 (2024) - [c58]Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra:
PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 3DV 2024: 313-323 - [c57]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) 2024: 10424-10443 - [c56]Xin Qiao, Jiahao Song, Youming Yang, Renjie Wei, Xiyuan Tang, Meng Li, Runsheng Wang, Yuan Wang:
MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks. CICC 2024: 1-2 - [c55]Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li:
Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. DAC 2024: 26:1-26:6 - [c54]Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang:
MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices. DAC 2024: 102:1-102:6 - [c53]Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li:
FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. DAC 2024: 146:1-146:6 - [c52]Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang:
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. DATE 2024: 1-6 - [c51]Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang:
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys 2024 - [i44]Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang:
Efficient yet Accurate End-to-End SC Accelerator Design. CoRR abs/2401.15332 (2024) - [i43]Tianshi Xu, Meng Li, Runsheng Wang:
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. CoRR abs/2401.15970 (2024) - [i42]Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang:
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. CoRR abs/2402.12820 (2024) - [i41]Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang:
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR abs/2402.13485 (2024) - [i40]Wenxuan Zeng, Tianshi Xu, Meng Li, Runsheng Wang:
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. CoRR abs/2404.09404 (2024) - [i39]Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li:
PrivCirNet: Efficient Private Inference via Block Circulant Transformation. CoRR abs/2405.14569 (2024) - [i38]Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li:
FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. CoRR abs/2405.16241 (2024) - [i37]Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang:
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR abs/2406.06542 (2024) - [i36]Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li:
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. CoRR abs/2408.10284 (2024) - [i35]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. CoRR abs/2410.09531 (2024) - [i34]Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li:
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. CoRR abs/2410.17957 (2024) - 2023
- [j13]Zuodong Zhang, Zizheng Guo, Yibo Lin, Meng Li, Runsheng Wang, Ru Huang:
AVATAR: An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4139-4151 (2023) - [c50]Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang:
Not your father's stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design. ASICON 2023: 1-4 - [c49]Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang:
Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. DAC 2023: 1-6 - [c48]Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang:
Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion. DATE 2023: 1-6 - [c47]Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang:
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction. DATE 2023: 1-2 - [c46]Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang:
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. ICCAD 2023: 1-9 - [c45]Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang:
READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction. ICCAD 2023: 1-9 - [c44]Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang:
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. ICCAD 2023: 1-9 - [c43]Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-Jie Lu, Jin Tan, Runsheng Wang, Ru Huang:
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. ICCV 2023: 5029-5040 - [c42]Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang:
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. NeurIPS 2023 - [i33]Renjie Wei, Shuwen Zhang, Zechun Liu, Meng Li, Yuchen Fan, Runsheng Wang, Ru Huang:
EBSR: Enhanced Binary Neural Network for Image Super-Resolution. CoRR abs/2303.12270 (2023) - [i32]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR abs/2306.04845 (2023) - [i31]Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang:
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. CoRR abs/2308.13189 (2023) - [i30]Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang:
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. CoRR abs/2308.13898 (2023) - [i29]Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang:
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction. CoRR abs/2308.15698 (2023) - [i28]Wenxuan Zeng, Meng Li, Haichuan Yang, Wenjie Lu, Runsheng Wang, Ru Huang:
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. CoRR abs/2311.01737 (2023) - 2022
- [c41]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c40]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - [c39]Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li:
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CVPR 2022: 12549-12559 - [c38]Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin:
Contrastive quant: quantization makes stronger contrastive learning. DAC 2022: 205-210 - [c37]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP 2022: 8197-8201 - [c36]Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra:
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR 2022 - [c35]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML 2022: 6849-6862 - [c34]Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Decentralized Unsupervised Learning of Visual Representations. IJCAI 2022: 2326-2333 - [c33]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. NeurIPS 2022 - [i27]Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li:
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CoRR abs/2204.04705 (2022) - [i26]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. CoRR abs/2205.13016 (2022) - [i25]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR abs/2206.00843 (2022) - [i24]Wenxuan Zeng, Meng Li, Wenjie Xiong, Wenjie Lu, Jin Tan, Runsheng Wang, Ru Huang:
MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention. CoRR abs/2211.13955 (2022) - [i23]Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra:
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. CoRR abs/2212.06244 (2022) - 2021
- [j12]Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan:
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 373-385 (2021) - [c32]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c31]Meng Li, Yilei Li, Vikas Chandra:
Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization. ASP-DAC 2021: 599-604 - [c30]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR 2021: 1055-1064 - [c29]Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR 2021: 6418-6427 - [c28]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR 2021 - [c27]Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin:
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. ICML 2021: 3492-3504 - [c26]Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML 2021: 10760-10771 - [c25]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED 2021: 1-6 - [c24]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia 2021: 3783-3786 - [i22]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR abs/2101.09868 (2021) - [i21]Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR abs/2102.07954 (2021) - [i20]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR abs/2104.12753 (2021) - [i19]Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Noisy Training Improves E2E ASR for the Edge. CoRR abs/2107.04677 (2021) - [i18]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR abs/2110.08352 (2021) - [i17]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR abs/2111.01236 (2021) - [i16]Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra:
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR abs/2111.01697 (2021) - [i15]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR abs/2111.09887 (2021) - [i14]Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Distributed Unsupervised Visual Representation Learning with Fused Features. CoRR abs/2111.10763 (2021) - 2020
- [j11]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4482-4495 (2020) - [c23]Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi:
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC 2020: 1-6 - [c22]Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA 2020: 790-803 - [i13]Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi:
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR abs/2002.04116 (2020) - [i12]Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra:
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. CoRR abs/2002.05293 (2020) - [i11]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). CoRR abs/2003.00862 (2020) - [i10]Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR abs/2007.04452 (2020) - [i9]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DNA: Differentiable Network-Accelerator Co-Search. CoRR abs/2010.14778 (2020) - [i8]Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR abs/2011.09011 (2020) - [i7]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR abs/2011.11778 (2020) - [i6]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020)
2010 – 2019
- 2019
- [j10]Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan:
Provably Secure Camouflaging Strategy for IC Protection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(8): 1399-1412 (2019) - [j9]Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan:
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(9): 1585-1598 (2019) - [j8]Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan:
Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1900-1913 (2019) - [j7]Kaveh Shamsi, Travis Meade, Meng Li, David Z. Pan, Yier Jin:
On the Approximation Resiliency of Logic Locking and IC Camouflaging Schemes. IEEE Trans. Inf. Forensics Secur. 14(2): 347-359 (2019) - [j6]Kaveh Shamsi, Meng Li, Kenneth Plaks, Saverio Fazzari, David Z. Pan, Yier Jin:
IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview. ACM Trans. Design Autom. Electr. Syst. 24(6): 65:1-65:36 (2019) - [c21]Wei Ye, Yibo Lin, Meng Li, Qiang Liu, David Z. Pan:
LithoROC: lithography hotspot detection with explicit ROC optimization. ASP-DAC 2019: 292-298 - [c20]Zheng Zhao, Derong Liu, Meng Li, Zhoufeng Ying, Lu Zhang, Biying Xu, Bei Yu, Ray T. Chen, David Z. Pan:
Hardware-software co-design of slimmed optical neural networks. ASP-DAC 2019: 705-710 - [c19]Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan:
GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks. DAC 2019: 149 - [c18]Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan:
Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection. DATE 2019: 54-59 - [c17]Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin:
KC2: Key-Condition Crunching for Fast Sequential Circuit Deobfuscation. DATE 2019: 534-539 - [i5]Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu:
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR abs/1910.03103 (2019) - [i4]Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR abs/1912.12953 (2019) - 2018
- [j5]Jin Miao, Meng Li, Subhendu Roy, Yuzhe Ma, Bei Yu:
SD-PUF: Spliced Digital Physical Unclonable Function. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(5): 927-940 (2018) - [j4]Xiaoqing Xu, Yibo Lin, Meng Li, Tetsuaki Matsunawa, Shigeki Nojima, Chikaaki Kodama, Toshiya Kotani, David Z. Pan:
Subresolution Assist Feature Generation With Supervised Data Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(6): 1225-1236 (2018) - [j3]Yibo Lin, Bei Yu, Meng Li, David Z. Pan:
Layout Synthesis for Topological Quantum Circuits With 1-D and 2-D Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1574-1587 (2018) - [j2]Wuxi Li, Yibo Lin, Meng Li, Shounak Dhar, David Z. Pan:
UTPlaceF 2.0: A High-Performance Clock-Aware FPGA Placement Engine. ACM Trans. Design Autom. Electr. Syst. 23(4): 42:1-42:23 (2018) - [c16]Che-Lun Hsu, Shaofeng Guo, Yibo Lin, Xiaoqing Xu, Meng Li, Runsheng Wang, Ru Huang, David Z. Pan:
Layout-dependent aging mitigation for critical path timing. ASP-DAC 2018: 153-158 - [c15]Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan:
A practical split manufacturing framework for Trojan prevention via simultaneous wire lifting and cell insertion. ASP-DAC 2018: 265-270 - [c14]Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin:
Cross-Lock: Dense Layout-Level Interconnect Locking using Cross-bar Architectures. ACM Great Lakes Symposium on VLSI 2018: 147-152 - [c13]Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan:
Power Grid Reduction by Sparse Convex Optimization. ISPD 2018: 60-67 - [c12]Yibo Lin, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, Meng Li, David Z. Pan:
Data Efficient Lithography Modeling with Residual Neural Networks and Transfer Learning. ISPD 2018: 82-89 - [c11]Meng Li, Kaveh Shamsi, Yier Jin, David Z. Pan:
TimingSAT: Decamouflaging Timing-based Logic Obfuscation. ITC 2018: 1-10 - [i3]Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra:
Federated Learning with Non-IID Data. CoRR abs/1806.00582 (2018) - [i2]Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan:
Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection. CoRR abs/1807.03257 (2018) - 2017
- [j1]Xiaoqing Xu, Yibo Lin, Meng Li, Jiaojiao Ou, Brian Cline, David Z. Pan:
Redundant Local-Loop Insertion for Unidirectional Routing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(7): 1113-1125 (2017) - [c10]Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. DAC 2017: 17:1-17:6 - [c9]Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin:
Cyclic Obfuscation for Creating SAT-Unresolvable Circuits. ACM Great Lakes Symposium on VLSI 2017: 173-178 - [c8]Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin:
Circuit Obfuscation and Oracle-guided Attacks: Who can Prevail? ACM Great Lakes Symposium on VLSI 2017: 357-362 - [c7]Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin:
AppSAT: Approximately deobfuscating integrated circuits. HOST 2017: 95-100 - [c6]Wuxi Li, Meng Li, Jiajun Wang, David Z. Pan:
UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper). ICCAD 2017: 922-928 - [i1]Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan:
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control. CoRR abs/1709.06161 (2017) - 2016
- [c5]Meng Li, Ye Wang, Michael Orshansky:
A Monte Carlo simulation flow for SEU analysis of sequential circuits. DAC 2016: 44:1-44:6 - [c4]Meng Li, Jin Miao, Kai Zhong, David Z. Pan:
Practical public PUF enabled by solving max-flow problem on chip. DAC 2016: 164:1-164:6 - [c3]Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan:
Provably secure camouflaging strategy for IC protection. ICCAD 2016: 28 - [c2]Jin Miao, Meng Li, Subhendu Roy, Bei Yu:
LRR-DPUF: learning resilient and reliable digital physical unclonable function. ICCAD 2016: 46 - 2015
- [c1]Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis:
Novel power grid reduction method based on L1 regularization. DAC 2015: 93:1-93:6
Coauthor Index
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