Meng Li

According to our database, Meng Li authored at least 79 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation.

Xin Qiao, Qingyu Guo, Xiyuan Tang, Jiahao Song, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference.

Tianshi Xu, Meng Li, Runsheng Wang

CoRR, 2024

2023

AVATAR: An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing.

Zuodong Zhang, Zizheng Guo, Yibo Lin, Meng Li, Runsheng Wang, Ru Huang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.

Wenxuan Zeng, Meng Li, Haichuan Yang, Wenjie Lu, Runsheng Wang, Ru Huang

CoRR, 2023

EBSR: Enhanced Binary Neural Network for Image Super-Resolution.

Renjie Wei, Shuwen Zhang, Zechun Liu, Meng Li, Yuchen Fan, Runsheng Wang, Ru Huang

CoRR, 2023

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention.

Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-Jie Lu, Jin Tan, Runsheng Wang, Ru Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization.

Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction.

Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference.

Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction.

Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion.

Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network.

Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Not your father's stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design.

Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang

Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022

PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion.

Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra

CoRR, 2022

MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention.

Wenxuan Zeng, Meng Li, Wenjie Xiong, Wenjie Lu, Jin Tan, Runsheng Wang, Ru Huang

CoRR, 2022

BiT: Robustly Binarized Multi-distilled Transformer.

Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decentralized Unsupervised Learning of Visual Representations.

Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.

Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin

Proceedings of the International Conference on Machine Learning, 2022

NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training.

Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra

Proceedings of the Tenth International Conference on Learning Representations, 2022

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet.

Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2022

Contrastive quant: quantization makes stronger contrastive learning.

Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation.

Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems.

Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks.

Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Distributed Unsupervised Visual Representation Learning with Fused Features.

Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu

CoRR, 2021

Low-Rank+Sparse Tensor Compression for Neural Networks.

Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra

CoRR, 2021

Noisy Training Improves E2E ASR for the Edge.

Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra

CoRR, 2021

Improve Vision Transformers Training by Suppressing Over-smoothing.

Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

CoRR, 2021

AlphaNet: Improved Training of Supernet with Alpha-Divergence.

Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

CoRR, 2021

PyTorchVideo: A Deep Learning Library for Video Understanding.

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

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency.

Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

AlphaNet: Improved Training of Supernets with Alpha-Divergence.

Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

Proceedings of the 38th International Conference on Machine Learning, 2021

Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference.

Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

CPT: Efficient Deep Neural Network Training via Cyclic Precision.

Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling.

Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

KeepAugment: A Simple Information-Preserving Data Augmentation Approach.

Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization.

Meng Li, Yilei Li, Vikas Chandra

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing.

Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition.

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

CoRR, 2020

DNA: Differentiable Network-Accelerator Co-Search.

Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

CoRR, 2020

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen

CoRR, 2020

TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix).

Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann

CoRR, 2020

Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization.

Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra

CoRR, 2020

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.

Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview.

Kaveh Shamsi, Meng Li, Kenneth Plaks, Saverio Fazzari, David Z. Pan, Yier Jin

ACM Trans. Design Autom. Electr. Syst., 2019

On the Approximation Resiliency of Logic Locking and IC Camouflaging Schemes.

Kaveh Shamsi, Travis Meade, Meng Li, David Z. Pan, Yier Jin

IEEE Trans. Inf. Forensics Secur., 2019

Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection.

Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion.

Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Provably Secure Camouflaging Strategy for IC Protection.

Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent.

Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu

CoRR, 2019

Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection.

Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

KC2: Key-Condition Crunching for Fast Sequential Circuit Deobfuscation.

Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks.

Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Hardware-software co-design of slimmed optical neural networks.

Zheng Zhao, Derong Liu, Meng Li, Zhoufeng Ying, Lu Zhang, Biying Xu, Bei Yu, Ray T. Chen, David Z. Pan

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

LithoROC: lithography hotspot detection with explicit ROC optimization.

Wei Ye, Yibo Lin, Meng Li, Qiang Liu, David Z. Pan

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

UTPlaceF 2.0: A High-Performance Clock-Aware FPGA Placement Engine.

Wuxi Li, Yibo Lin, Meng Li, Shounak Dhar, David Z. Pan

ACM Trans. Design Autom. Electr. Syst., 2018

Subresolution Assist Feature Generation With Supervised Data Learning.

Xiaoqing Xu, Yibo Lin, Meng Li, Tetsuaki Matsunawa, Shigeki Nojima, Chikaaki Kodama, Toshiya Kotani, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

SD-PUF: Spliced Digital Physical Unclonable Function.

Jin Miao, Meng Li, Subhendu Roy, Yuzhe Ma, Bei Yu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Layout Synthesis for Topological Quantum Circuits With 1-D and 2-D Architectures.

Yibo Lin, Bei Yu, Meng Li, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Federated Learning with Non-IID Data.

Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra

CoRR, 2018

TimingSAT: Decamouflaging Timing-based Logic Obfuscation.

Meng Li, Kaveh Shamsi, Yier Jin, David Z. Pan

Proceedings of the IEEE International Test Conference, 2018

Power Grid Reduction by Sparse Convex Optimization.

Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan

Proceedings of the 2018 International Symposium on Physical Design, 2018

Data Efficient Lithography Modeling with Residual Neural Networks and Transfer Learning.

Yibo Lin, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, Meng Li, David Z. Pan

Proceedings of the 2018 International Symposium on Physical Design, 2018

Cross-Lock: Dense Layout-Level Interconnect Locking using Cross-bar Architectures.

Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Layout-dependent aging mitigation for critical path timing.

Che-Lun Hsu, Shaofeng Guo, Yibo Lin, Xiaoqing Xu, Meng Li, Runsheng Wang, Ru Huang, David Z. Pan

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

Redundant Local-Loop Insertion for Unidirectional Routing.

Xiaoqing Xu, Yibo Lin, Meng Li, Jiaojiao Ou, Brian Cline, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control.

Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan

CoRR, 2017

UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper).

Wuxi Li, Meng Li, Jiajun Wang, David Z. Pan

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

AppSAT: Approximately deobfuscating integrated circuits.

Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin

Proceedings of the 2017 IEEE International Symposium on Hardware Oriented Security and Trust, 2017

Circuit Obfuscation and Oracle-guided Attacks: Who can Prevail?

Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Cyclic Obfuscation for Creating SAT-Unresolvable Circuits.

Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack.

Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

LRR-DPUF: learning resilient and reliable digital physical unclonable function.

Jin Miao, Meng Li, Subhendu Roy, Bei Yu

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

A Monte Carlo simulation flow for SEU analysis of sequential circuits.

Meng Li, Ye Wang, Michael Orshansky

Proceedings of the 53rd Annual Design Automation Conference, 2016

Practical public PUF enabled by solving max-flow problem on chip.

Meng Li, Jin Miao, Kai Zhong, David Z. Pan

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

Novel power grid reduction method based on L1 regularization.

Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis

Proceedings of the 52nd Annual Design Automation Conference, 2015