Meng Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 88

Top Topics

Feature Generation

Neural Architecture

Visual Representations

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Tianshi Xu, Meng Li, Runsheng Wang
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. CoRR (2024)
Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 3DV (2024)
Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR (2024)
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)
Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
PrivCirNet: Efficient Private Inference via Block Circulant Transformation. CoRR (2024)
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) (2024)
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)
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 (2024)
Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li
FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. CoRR (2024)
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 (2024)
Wenxuan Zeng, Tianshi Xu, Meng Li, Runsheng Wang
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. CoRR (2024)
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)
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)
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)
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)
Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. ICCAD (2023)
Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction. DATE (2023)
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) (2023)
Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. ICCAD (2023)
Wenxuan Zeng, Meng Li, Haichuan Yang, Wenjie Lu, Runsheng Wang, Ru Huang
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. CoRR (2023)
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)
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)
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 (2022)
Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu
Decentralized Unsupervised Learning of Visual Representations. IJCAI (2022)
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)
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR (2021)
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)
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR (2021)
Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu
Distributed Unsupervised Visual Representation Learning with Fused Features. CoRR (2021)
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML (2021)
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)
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) (2021)
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 (2021)
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR (2021)
Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR (2021)
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)
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 (2021)
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 (2021)
Meng Li, Yilei Li, Vikas Chandra
Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization. ASP-DAC (2021)
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR (2021)
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)
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)
Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR (2021)
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)
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
DNA: Differentiable Network-Accelerator Co-Search. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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) (2020)
Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. CoRR (2020)
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR (2020)
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)
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR (2020)
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)
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) (2019)
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) (2019)
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) (2019)
Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan
Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection. DATE (2019)
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 (2019)
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)
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) (2019)
Wei Ye, Yibo Lin, Meng Li, Qiang Liu, David Z. Pan
LithoROC: lithography hotspot detection with explicit ROC optimization. ASP-DAC (2019)
Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin
KC2: Key-Condition Crunching for Fast Sequential Circuit Deobfuscation. DATE (2019)
Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR (2019)
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) (2019)
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) (2018)
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)
Meng Li, Kaveh Shamsi, Yier Jin, David Z. Pan
TimingSAT: Decamouflaging Timing-based Logic Obfuscation. ITC (2018)
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) (2018)
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) (2018)
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra
Federated Learning with Non-IID Data. CoRR (2018)
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)
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)
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) (2018)
Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan
Power Grid Reduction by Sparse Convex Optimization. ISPD (2018)
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 (2018)
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)
Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin
AppSAT: Approximately deobfuscating integrated circuits. HOST (2017)
Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan
Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. DAC (2017)
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)
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) (2017)
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)
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 (2017)
Wuxi Li, Meng Li, Jiajun Wang, David Z. Pan
UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper). ICCAD (2017)
Meng Li, Jin Miao, Kai Zhong, David Z. Pan
Practical public PUF enabled by solving max-flow problem on chip. DAC (2016)
Jin Miao, Meng Li, Subhendu Roy, Bei Yu
LRR-DPUF: learning resilient and reliable digital physical unclonable function. ICCAD (2016)
Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan
Provably secure camouflaging strategy for IC protection. ICCAD (2016)