Novel power grid reduction method based on L1 regularization. - Ye Wang 014; Meng Li 004; Xinyang Yi; Zhao Song 002; Michael Orshansky; Constantine Caramanis (DAC, 2015)

Practical public PUF enabled by solving max-flow problem on chip. - Meng Li 004; Jin Miao; Kai Zhong; David Z. Pan (DAC, 2016)

A Monte Carlo simulation flow for SEU analysis of sequential circuits. - Meng Li 004; Ye Wang 014; Michael Orshansky (DAC, 2016)

LRR-DPUF: learning resilient and reliable digital physical unclonable function. - Jin Miao; Meng Li 004; Subhendu Roy; Bei Yu 001 (ICCAD, 2016)

Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. - Meng Li 004; Liangzhen Lai; Vikas Chandra; David Z. Pan (DAC, 2017)

Cyclic Obfuscation for Creating SAT-Unresolvable Circuits. - Kaveh Shamsi; Meng Li 004; Travis Meade; Zheng Zhao 003; David Z. Pan; Yier Jin (ACM Great Lakes Symposium on VLSI, 2017)

Circuit Obfuscation and Oracle-guided Attacks: Who can Prevail? - Kaveh Shamsi; Meng Li 004; Travis Meade; Zheng Zhao 003; David Z. Pan; Yier Jin (ACM Great Lakes Symposium on VLSI, 2017)

AppSAT: Approximately deobfuscating integrated circuits. - Kaveh Shamsi; Meng Li 004; Travis Meade; Zheng Zhao 003; David Z. Pan; Yier Jin (HOST, 2017)

UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper). - Wuxi Li; Meng Li 004; Jiajun Wang; David Z. Pan (ICCAD, 2017)

PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control. - Meng Li 004; Liangzhen Lai; Naveen Suda; Vikas Chandra; David Z. Pan (CoRR, 2017)

Redundant Local-Loop Insertion for Unidirectional Routing. - Xiaoqing Xu; Yibo Lin; Meng Li 004; Jiaojiao Ou; Brian Cline; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Layout-dependent aging mitigation for critical path timing. - Che-Lun Hsu; Shaofeng Guo; Yibo Lin; Xiaoqing Xu; Meng Li 004; Runsheng Wang; Ru Huang 001; David Z. Pan (ASP-DAC, 2018)

Cross-Lock: Dense Layout-Level Interconnect Locking using Cross-bar Architectures. - Kaveh Shamsi; Meng Li 004; David Z. Pan; Yier Jin (ACM Great Lakes Symposium on VLSI, 2018)

Data Efficient Lithography Modeling with Residual Neural Networks and Transfer Learning. - Yibo Lin; Yuki Watanabe; Taiki Kimura; Tetsuaki Matsunawa; Shigeki Nojima; Meng Li 004; David Z. Pan (ISPD, 2018)

Power Grid Reduction by Sparse Convex Optimization. - Wei Ye 008; Meng Li 004; Kai Zhong; Bei Yu 001; David Z. Pan (ISPD, 2018)

TimingSAT: Decamouflaging Timing-based Logic Obfuscation. - Meng Li 004; Kaveh Shamsi; Yier Jin; David Z. Pan (ITC, 2018)

Federated Learning with Non-IID Data. - Yue Zhao; Meng Li 004; Liangzhen Lai; Naveen Suda; Damon Civin; Vikas Chandra (CoRR, 2018)

Layout Synthesis for Topological Quantum Circuits With 1-D and 2-D Architectures. - Yibo Lin; Bei Yu 001; Meng Li 004; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

SD-PUF: Spliced Digital Physical Unclonable Function. - Jin Miao; Meng Li 004; Subhendu Roy; Yuzhe Ma; Bei Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Subresolution Assist Feature Generation With Supervised Data Learning. - Xiaoqing Xu; Yibo Lin; Meng Li 004; Tetsuaki Matsunawa; Shigeki Nojima; Chikaaki Kodama; Toshiya Kotani; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

UTPlaceF 2.0: A High-Performance Clock-Aware FPGA Placement Engine. - Wuxi Li; Yibo Lin; Meng Li 004; Shounak Dhar; David Z. Pan (ACM Trans. Design Autom. Electr. Syst., 2018)

LithoROC: lithography hotspot detection with explicit ROC optimization. - Wei Ye 008; Yibo Lin; Meng Li 004; Qiang Liu 001; David Z. Pan (ASP-DAC, 2019)

Hardware-software co-design of slimmed optical neural networks. - Zheng Zhao 003; Derong Liu 002; Meng Li 004; Zhoufeng Ying; Lu Zhang; Biying Xu; Bei Yu 001; Ray T. Chen; David Z. Pan (ASP-DAC, 2019)

GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks. - Mohamed Baker Alawieh; Yibo Lin; Zaiwei Zhang; Meng Li 004; Qixing Huang; David Z. Pan (DAC, 2019)

KC2: Key-Condition Crunching for Fast Sequential Circuit Deobfuscation. - Kaveh Shamsi; Meng Li 004; David Z. Pan; Yier Jin (DATE, 2019)

Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection. - Wei Ye 008; Mohamed Baker Alawieh; Meng Li 004; Yibo Lin; David Z. Pan (DATE, 2019)

Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. - Dilin Wang; Meng Li 004; Lemeng Wu; Vikas Chandra; Qiang Liu 001 (CoRR, 2019)

Provably Secure Camouflaging Strategy for IC Protection. - Meng Li 004; Kaveh Shamsi; Travis Meade; Zheng Zhao 003; Bei Yu 001; Yier Jin; 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 004; Bei Yu 001; Yibo Lin; Xiaoqing Xu; Wuxi Li; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection. - Yibo Lin; Meng Li 004; Yuki Watanabe; Taiki Kimura; Tetsuaki Matsunawa; Shigeki Nojima; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

On the Approximation Resiliency of Logic Locking and IC Camouflaging Schemes. - Kaveh Shamsi; Travis Meade; Meng Li 004; David Z. Pan; Yier Jin (IEEE Trans. Inf. Forensics Secur., 2019)

IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview. - Kaveh Shamsi; Meng Li 004; Kenneth Plaks; Saverio Fazzari; David Z. Pan; Yier Jin (ACM Trans. Design Autom. Electr. Syst., 2019)

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. - Lei Yang 018; Zheyu Yan; Meng Li 004; Hyoukjun Kwon; Liangzhen Lai; Tushar Krishna; Vikas Chandra; Weiwen Jiang; Yiyu Shi 001 (DAC, 2020)

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. - Liu Ke 001; Udit Gupta; Benjamin Youngjae Cho; David Brooks 001; Vikas Chandra; Utku Diril; Amin Firoozshahian; Kim M. Hazelwood; Bill Jia; Hsien-Hsin S. Lee; Meng Li 004; Bert Maher; et al. (ISCA, 2020)

Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. - Meng Li 004; Yilei Li; Pierce Chuang; Liangzhen Lai; Vikas Chandra (CoRR, 2020)

TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). - Grace Li Zhang; Bing Li 005; Meng Li 004; Bei Yu 001; David Z. Pan; Michaela Brunner; Georg Sigl; Ulf Schlichtmann (CoRR, 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Shiyu Li 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Helen Li; Yiran Chen 001 (CoRR, 2020)

DNA: Differentiable Network-Accelerator Co-Search. - Yongan Zhang; Yonggan Fu; Weiwen Jiang; Chaojian Li; Haoran You; Meng Li 004; Vikas Chandra; Yingyan Lin (CoRR, 2020)

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. - Hsin-Pai Cheng; Feng Liang 001; Meng Li 004; Bowen Cheng; Feng Yan 001; Hai Li 001; Vikas Chandra; Yiran Chen 001 (CoRR, 2020)

TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. - Grace Li Zhang; Bing Li 005; Meng Li 004; Bei Yu 001; David Z. Pan; Michaela Brunner; Georg Sigl; Ulf Schlichtmann (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Yixing Zhang; Shiyu Li 001; Feng Liang 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Li 001; Yiran Chen 001 (AAAI, 2021)

Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization. - Meng Li 004; Yilei Li; Vikas Chandra (ASP-DAC, 2021)

KeepAugment: A Simple Information-Preserving Data Augmentation Approach. - Chengyue Gong; Dilin Wang; Meng Li 004; Vikas Chandra; Qiang Liu 001 (CVPR, 2021)

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. - Dilin Wang; Meng Li 004; Chengyue Gong; Vikas Chandra (CVPR, 2021)

CPT: Efficient Deep Neural Network Training via Cyclic Precision. - Yonggan Fu; Han Guo; Meng Li 004; Xin Yang; Yining Ding; Vikas Chandra; Yingyan Lin (ICLR, 2021)

Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. - Yonggan Fu; Qixuan Yu 001; Meng Li 004; Vikas Chandra; Yingyan Lin (ICML, 2021)

AlphaNet: Improved Training of Supernets with Alpha-Divergence. - Dilin Wang; Chengyue Gong; Meng Li 004; Qiang Liu 001; Vikas Chandra (ICML, 2021)

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. - Yongan Zhang; Yonggan Fu; Weiwen Jiang; Chaojian Li; Haoran You; Meng Li 004; Vikas Chandra; Yingyan Lin (ISLPED, 2021)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

AlphaNet: Improved Training of Supernet with Alpha-Divergence. - Dilin Wang; Chengyue Gong; Meng Li 004; Qiang Liu 001; Vikas Chandra (CoRR, 2021)

Improve Vision Transformers Training by Suppressing Over-smoothing. - Chengyue Gong; Dilin Wang; Meng Li 004; Vikas Chandra; Qiang Liu 001 (CoRR, 2021)

Noisy Training Improves E2E ASR for the Edge. - Dilin Wang; Yuan Shangguan; Haichuan Yang; Pierce Chuang; Jiatong Zhou; Meng Li 004; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (CoRR, 2021)

Low-Rank+Sparse Tensor Compression for Neural Networks. - Cole Hawkins; Haichuan Yang; Meng Li 004; Liangzhen Lai; Vikas Chandra (CoRR, 2021)

Distributed Unsupervised Visual Representation Learning with Fused Features. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Meng Li 004; Yiyu Shi 001; Jingtong Hu (CoRR, 2021)

GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. - Mohamed Baker Alawieh; Yibo Lin; Zaiwei Zhang; Meng Li 004; Qixing Huang; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. - Hsin-Pai Cheng; Feng Liang 001; Meng Li 004; Bowen Cheng; Feng Yan 001; Hai Li 001; Vikas Chandra; Yiran Chen 001 (AutoML, 2022)

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. - Xin Dong 009; Barbara De Salvo; Meng Li 004; Chiao Liu; Zhongnan Qu; H. T. Kung 001; Ziyun Li (CVPR, 2022)

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. - Jiaqi Gu 002; Hyoukjun Kwon; Dilin Wang; Wei Ye 008; Meng Li 004; Yu-Hsin Chen; Liangzhen Lai; Vikas Chandra; David Z. Pan (CVPR, 2022)

Contrastive quant: quantization makes stronger contrastive learning. - Yonggan Fu; Qixuan Yu 001; Meng Li 004; Xu Ouyang; Vikas Chandra; Yingyan Lin (DAC, 2022)

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. - Haichuan Yang; Yuan Shangguan; Dilin Wang; Meng Li 004; Pierce Chuang; Xiaohui Zhang 007; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (ICASSP, 2022)

NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. - Chengyue Gong; Dilin Wang; Meng Li 004; Xinlei Chen; Zhicheng Yan 001; Yuandong Tian; Qiang Liu 001; Vikas Chandra (ICLR, 2022)

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. - Yonggan Fu; Haichuan Yang; Jiayi Yuan 001; Meng Li 004; Cheng Wan 005; Raghuraman Krishnamoorthi; Vikas Chandra; Yingyan Lin (ICML, 2022)

Decentralized Unsupervised Learning of Visual Representations. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Meng Li 004; Yiyu Shi 001; Jingtong Hu (IJCAI, 2022)

BiT: Robustly Binarized Multi-distilled Transformer. - Zechun Liu; Barlas Oguz; Aasish Pappu; Lin Xiao; Scott Yih; Meng Li 004; Raghuraman Krishnamoorthi; Yashar Mehdad (NeurIPS, 2022)

MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention. - Wenxuan Zeng; Meng Li 004; Wenjie Xiong 001; Wenjie Lu; Jin Tan; Runsheng Wang; Ru Huang 001 (CoRR, 2022)

Not your father's stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design. - Meng Li 004; Yixuan Hu; Tengyu Zhang; Renjie Wei; Yawen Zhang; Ru Huang 001; Runsheng Wang (ASICON, 2023)

Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. - Yixuan Hu; Tengyu Zhang; Meng Li 004; Renjie Wei; Liangzhen Lai; Yuan Wang 001; Runsheng Wang; Ru Huang 001 (DAC, 2023)

Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion. - Yixuan Hu; Tengyu Zhang; Renjie Wei; Meng Li 004; Runsheng Wang; Yuan Wang 001; Ru Huang 001 (DATE, 2023)

READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction. - Zuodong Zhang; Meng Li 004; Yibo Lin; Runsheng Wang; Ru Huang 001 (DATE, 2023)

Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. - Tianshi Xu; Meng Li 004; Runsheng Wang; Ru Huang 001 (ICCAD, 2023)

READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction. - Zuodong Zhang; Renjie Wei; Meng Li 004; Yibo Lin; Runsheng Wang; Ru Huang 001 (ICCAD, 2023)

Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. - Shuzhang Zhong; Meng Li 004; Yun Liang 001; Runsheng Wang; Ru Huang 001 (ICCAD, 2023)

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. - Wenxuan Zeng; Meng Li 004; Wenjie Xiong 001; Tong Tong; Wen-Jie Lu; Jin Tan; Runsheng Wang; Ru Huang 001 (ICCV, 2023)

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. - Wenxuan Zeng; Meng Li 004; Haichuan Yang; Wen-jie Lu; Runsheng Wang; Ru Huang 001 (NeurIPS, 2023)

EBSR: Enhanced Binary Neural Network for Image Super-Resolution. - Renjie Wei; Shuwen Zhang; Zechun Liu; Meng Li 004; Yuchen Fan; Runsheng Wang; Ru Huang 001 (CoRR, 2023)

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. - Wenxuan Zeng; Meng Li 004; Haichuan Yang; Wenjie Lu; Runsheng Wang; Ru Huang 001 (CoRR, 2023)

AVATAR: An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing. - Zuodong Zhang; Zizheng Guo; Yibo Lin; Meng Li 004; Runsheng Wang; Ru Huang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. - Lemeng Wu; Dilin Wang; Meng Li 004; Yunyang Xiong; Raghuraman Krishnamoorthi; Qiang Liu 001; Vikas Chandra (3DV, 2024)

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. - Ganesh Jawahar; Haichuan Yang; Yunyang Xiong; Zechun Liu; Dilin Wang; Fei Sun; Meng Li 004; Aasish Pappu; Barlas Oguz; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Raghuraman Krishnamoorthi; et al. (ACL (Findings), 2024)

MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks. - Xin Qiao; Jiahao Song; Youming Yang 002; Renjie Wei; Xiyuan Tang; Meng Li 004; Runsheng Wang; Yuan Wang 001 (CICC, 2024)

MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices. - Renze Chen; Zijian Ding; Size Zheng 001; Meng Li 004; Yun Liang 001 (DAC, 2024)

FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. - Chenqi Lin; Tianshi Xu; Zebin Yang; Runsheng Wang; Ru Huang 001; Meng Li 004 (DAC, 2024)

Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. - Jianan Mu; Husheng Han; Shangyi Shi; Jing Ye 001; Zizhen Liu; Shengwen Liang; Meng Li 004; Mingzhe Zhang; Song Bian 001; Xing Hu 001; Huawei Li 001; Xiaowei Li 001 (DAC, 2024)

ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. - Tong Xie; Yixuan Hu; Renjie Wei; Meng Li 004; Yuan Wang 001; Runsheng Wang; Ru Huang 001 (DATE, 2024)

HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline. - Qingyu Guo; Jiayong Wan; Songqiang Xu; Meng Li 004; Yuan Wang 001 (ICCAD, 2024)

OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation. - Yixuan Hu; Yikang Jia; Meng Li 004; Yuan Wang 001; Runsheng Wang; Ru Huang 001 (ICCAD, 2024)

MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. - Zebin Yang; Renze Chen; Taiqiang Wu; Ngai Wong 001; Yun Liang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. - Jiangrui Yu; Wenxuan Zeng; Tianshi Xu; Renze Chen; Yun Liang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. - Shuzhang Zhong; Ling Liang; Yuan Wang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. - Shuzhang Zhong; Zebin Yang; Ruihao Gong; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. - Size Zheng 001; Renze Chen; Meng Li 004; Zihao Ye 001; Luis Ceze; Yun Liang 001 (MLSys, 2024)

ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction. - Renze Chen; Zhuofeng Wang; Beiquan Cao; Tong Wu; Size Zheng 001; Xiuhong Li; Xuechao Wei; Shengen Yan; Meng Li 004; Yun Liang 001 (NeurIPS, 2024)

Efficient yet Accurate End-to-End SC Accelerator Design. - Meng Li 004; Yixuan Hu; Tengyu Zhang; Renjie Wei; Yawen Zhang; Ru Huang 001; Runsheng Wang (CoRR, 2024)

HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. - Tianshi Xu; Meng Li 004; Runsheng Wang (CoRR, 2024)

EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. - Wenxuan Zeng; Tianshi Xu; Meng Li 004; Runsheng Wang (CoRR, 2024)

FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. - Chenqi Lin; Tianshi Xu; Zebin Yang; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2024)

PrivCirNet: Efficient Private Inference via Block Circulant Transformation. - Tianshi Xu; Lemeng Wu; Runsheng Wang; Meng Li 004 (IACR Cryptol. ePrint Arch., 2024)

PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. - Tianshi Xu; Shuzhang Zhong; Wenxuan Zeng; Runsheng Wang; Meng Li 004 (IACR Cryptol. ePrint Arch., 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 004; Runsheng Wang; Yuan Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

CASCADE: A Framework for CNN Accelerator Synthesis With Concatenation and Refreshing Dataflow. - Qingyu Guo; Haoyang Luo; Meng Li 004; Xiyuan Tang; Yuan Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings. - Renjie Wei; Zechun Liu; Yuchen Fan; Runsheng Wang; Ru Huang 001; Meng Li 004 (DATE, 2025)

Compact Non-Volatile Lookup Table Architecture Based on Ferroelectric FET Array Through In-Situ Combinatorial One-Hot Encoding for Reconfigurable Computing. - Weikai Xu; Meng Li 004; Qianqian Huang; Ru Huang 001 (DATE, 2025)

FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption. - Tengyu Zhang; Yufei Xue; Ling Liang; Zhen Gu; Yuan Wang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (DATE, 2025)

Swift: Fast Secure Neural Network Inference With Fully Homomorphic Encryption. - Yu Fu; Yu Tong; Yijing Ning; Tianshi Xu; Meng Li 004; Jingqiang Lin 001; Dengguo Feng (IEEE Trans. Inf. Forensics Secur., 2025)

MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference. - Wenxuan Zeng; Ye Dong; Jinjin Zhou; Junming Ma; Jin Tan; Runsheng Wang; Meng Li 004 (CoRR, 2025)

LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design. - Renjie Wei; Songqiang Xu; Linfeng Zhong; Zebin Yang; Qingyu Guo; Yuan Wang 001; Runsheng Wang; Meng Li 004 (CoRR, 2025)

ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. - Tong Xie; Jiawang Zhao; Zishen Wan; Zuodong Zhang; Yuan Wang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2025)

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. - Shuzhang Zhong; Yanfan Sun; Ling Liang; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2025)

UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference. - Weikai Xu; Wenxuan Zeng; Qianqian Huang; Meng Li 004; Ru Huang 001 (CoRR, 2025)

FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design. - Renjie Wei; Songqiang Xu; Qingyu Guo; Meng Li 004 (CoRR, 2025)

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. - Linye Wei; Shuzhang Zhong; Songqiang Xu; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2025)