Meng Li - RankMe

168 papers A* 36A 29C 1Misc 1Journal 82Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Activation-Free Implicit Neural Representation via Finite-State-Machine Based Stochastic Computing. ASP-DAC Xincheng Feng, Wenyong Zhou, Taiqiang Wu, Meng Li, Zhengwu Liu, Ngai Wong
2026	—	`conf`	CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. ASPLOS (2) Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li
2026	J	`jnl`	CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. CoRR Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li
2026	J	`jnl`	Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache. CoRR Ye Yu, Yifan Zhou, Yi Chen, Pedro Soto, Wenjie Xiong, Meng Li
2026	J	`jnl`	HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction. CoRR Shengxuan Qiu, Haochen Huang, Shuzhang Zhong, Pengfei Zuo, Meng Li
2026	J	`jnl`	STEED: Space and Time-Efficient Encrypted Database Using FHE. IEEE Trans. Dependable Secur. Comput. Fahong Zhang, Zhen Gu, Yiran Li, Yilei Wang, Cheng Hong, Zhaohui Chen, Yufei Wang, Yanheng Lu, Meng Li, Leibo Liu, Sheng Wang, Feifei Li, Chen Yang, Dimin Niu, Yuan Xie
2026	J	`jnl`	The Quest for Reliable AI Accelerators: Cross-Layer Evaluation and Design Optimization. CoRR Meng Li, Tong Xie, Zuodong Zhang, Runsheng Wang
2025	A	`conf`	(Invited) FENIX: Flexible and Efficient Hybrid HE/MPC Acceleration with Near-Memory Processing. ICCAD Tengyu Zhang, Chenqi Lin, Jiangrui Yu, Yi Chen, Shuwen Deng, Meng Li
2025	A	`conf`	Adder-DCIM: A Parallel Bit-Flexible Digital CIM Accelerator Joint Model Compression Framework for AdderNet Inference. ICCAD Haikang Diao, Chuyue Tang, Bocheng Xu, Haoyang Luo, Meng Li, Yuan Wang, Xiyuan Tang
2025	A*	`conf`	Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. USENIX Security Symposium Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Yi Chen, Chenqi Lin, Runsheng Wang, Meng Li
2025	J	`jnl`	Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. CoRR Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Chen Yi, Chenqi Lin, Runsheng Wang, Meng Li
2025	J	`jnl`	Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. IACR Cryptol. ePrint Arch. Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Yi Chen, Chenqi Lin, Runsheng Wang, Meng Li
2025	A	`conf`	Compact Non-Volatile Lookup Table Architecture Based on Ferroelectric FET Array Through In-Situ Combinatorial One-Hot Encoding for Reconfigurable Computing. DATE Weikai Xu, Meng Li, Qianqian Huang, Ru Huang
2025	A	`conf`	FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption. DATE Tengyu Zhang, Yufei Xue, Ling Liang, Zhen Gu, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design. CoRR Renjie Wei, Songqiang Xu, Qingyu Guo, Meng Li
2025	A	`conf`	H ICCAD Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
2025	J	`jnl`	H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference. CoRR Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
2025	A	`conf`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. ICCAD Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	J	`jnl`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. CoRR Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	A*	`conf`	HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. DAC Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. CoRR Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
2025	A*	`conf`	Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing. MICRO Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li
2025	J	`jnl`	LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design. CoRR Renjie Wei, Songqiang Xu, Linfeng Zhong, Zebin Yang, Qingyu Guo, Yuan Wang, Runsheng Wang, Meng Li
2025	J	`jnl`	MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference. CoRR Wenxuan Zeng, Ye Dong, Jinjin Zhou, Junming Ma, Jin Tan, Runsheng Wang, Meng Li
2025	J	`jnl`	Matrix: Multi-Cipher Structures Dataflow for Parallel and Pipelined TFHE Accelerator. ACM Trans. Archit. Code Optim. Ling Liang, Zhen Gu, Fahong Zhang, Zhaohui Chen, Zhirui Li, Xin Fan, Dimin Niu, Meng Li, Zhiyong Li, Zongwei Wang, Hongzhong Zheng, Yimao Cai, Yuan Xie
2025	A	`conf`	Octopus: Fast Homomorphic Convolution for Secure Neural Network Inference. ACSAC Yu Tong, Yu Fu, Tianshi Xu, Cheng Hong, Meng Li, Wei Wang, Dengguo Feng, Jingqiang Lin
2025	J	`jnl`	Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models. CoRR Linye Wei, Wenjue Chen, Pingzhi Tang, Xiaotian Guo, Le Ye, Runsheng Wang, Meng Li
2025	A*	`conf`	ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. DAC Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. CoRR Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2025	A	`conf`	SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings. DATE Renjie Wei, Zechun Liu, Yuchen Fan, Runsheng Wang, Ru Huang, Meng Li
2025	A*	`conf`	SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. DAC Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. CoRR Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li
2025	A	`conf`	SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding. ICCAD Linfeng Zhong, Songqiang Xu, Huifeng Wen, Tong Xie, Qingyu Guo, Yuan Wang, Meng Li
2025	J	`jnl`	Swift: Fast Secure Neural Network Inference With Fully Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. Yu Fu, Yu Tong, Yijing Ning, Tianshi Xu, Meng Li, Jingqiang Lin, Dengguo Feng
2025	A*	`conf`	UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference. DAC Weikai Xu, Wenxuan Zeng, Qianqian Huang, Meng Li, Ru Huang
2025	J	`jnl`	UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference. CoRR Weikai Xu, Wenxuan Zeng, Qianqian Huang, Meng Li, Ru Huang
2024	J	`jnl`	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. Xin Qiao, Qingyu Guo, Xiyuan Tang, Jiahao Song, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang
2024	A	`conf`	ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. DATE Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang
2024	J	`jnl`	ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. CoRR Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang
2024	A	`conf`	AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. ICCAD Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. CoRR Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024	A*	`conf`	Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. DAC Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li
2024	A*	`conf`	ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction. NeurIPS Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang
2024	J	`jnl`	CASCADE: A Framework for CNN Accelerator Synthesis With Concatenation and Refreshing Dataflow. IEEE Trans. Circuits Syst. I Regul. Pap. Qingyu Guo, Haoyang Luo, Meng Li, Xiyuan Tang, Yuan Wang
2024	J	`jnl`	CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs. CoRR Qichao Ma, Rui-Jie Zhu, Peiye Liu, Renye Yan, Fahong Zhang, Ling Liang, Meng Li, Zhaofei Yu, Zongwei Wang, Yimao Cai, Tiejun Huang
2024	J	`jnl`	EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. CoRR Wenxuan Zeng, Tianshi Xu, Meng Li, Runsheng Wang
2024	J	`jnl`	Efficient yet Accurate End-to-End SC Accelerator Design. CoRR Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang
2024	J	`jnl`	FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. CoRR Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li
2024	A*	`conf`	FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. DAC Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li
2024	A	`conf`	FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. ICCAD Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. CoRR Tianshi Xu, Meng Li, Runsheng Wang
2024	A	`conf`	HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline. ICCAD Qingyu Guo, Jiayong Wan, Songqiang Xu, Meng Li, Yuan Wang
2024	A	`conf`	MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. ICCAD Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. CoRR Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	—	`conf`	MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks. CICC Xin Qiao, Jiahao Song, Youming Yang, Renjie Wei, Xiyuan Tang, Meng Li, Runsheng Wang, Yuan Wang
2024	—	`conf`	Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) 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
2024	A*	`conf`	MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices. DAC Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang
2024	A	`conf`	OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation. ICCAD Yixuan Hu, Yikang Jia, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang
2024	—	`conf`	PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 3DV Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
2024	A*	`conf`	PrivCirNet: Efficient Private Inference via Block Circulant Transformation. NeurIPS Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivCirNet: Efficient Private Inference via Block Circulant Transformation. CoRR Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivCirNet: Efficient Private Inference via Block Circulant Transformation. IACR Cryptol. ePrint Arch. Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
2024	A	`conf`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. ICCAD Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. CoRR Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. IACR Cryptol. ePrint Arch. Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	A	`conf`	ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. ICCAD Shuzhang Zhong, Zebin Yang, Ruihao Gong, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang
2024	A*	`conf`	Trinity: A General Purpose FHE Accelerator. MICRO Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang
2024	J	`jnl`	Trinity: A General Purpose FHE Accelerator. CoRR Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang
2024	—	`conf`	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
2024	J	`jnl`	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
2023	J	`jnl`	AVATAR: An Aging- and Variation-Aware Dynamic Timing Analyzer for Error-Efficient Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zuodong Zhang, Zizheng Guo, Yibo Lin, Meng Li, Runsheng Wang, Ru Huang
2023	A	`conf`	Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion. DATE Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang
2023	A*	`conf`	CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. NeurIPS Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
2023	J	`jnl`	CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. CoRR Wenxuan Zeng, Meng Li, Haichuan Yang, Wenjie Lu, Runsheng Wang, Ru Huang
2023	J	`jnl`	EBSR: Enhanced Binary Neural Network for Image Super-Resolution. CoRR Renjie Wei, Shuwen Zhang, Zechun Liu, Meng Li, Yuchen Fan, Runsheng Wang, Ru Huang
2023	A*	`conf`	Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. DAC Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang
2023	A	`conf`	Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. ICCAD Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang
2023	J	`jnl`	Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. CoRR Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang
2023	A*	`conf`	MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. ICCV Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-jie Lu, Jin Tan, Runsheng Wang, Ru Huang
2023	A	`conf`	Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. ICCAD Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
2023	J	`jnl`	Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. CoRR Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
2023	J	`jnl`	Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR 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
2023	—	`conf`	Not your father's stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design. ASICON Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang
2023	A	`conf`	READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction. ICCAD Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang
2023	A	`conf`	READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction. DATE Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang
2023	J	`jnl`	READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction. CoRR Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang
2022	A*	`conf`	BiT: Robustly Binarized Multi-distilled Transformer. NeurIPS Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
2022	J	`jnl`	BiT: Robustly Binarized Multi-distilled Transformer. CoRR Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad
2022	A*	`conf`	Contrastive quant: quantization makes stronger contrastive learning. DAC Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin
2022	A*	`conf`	Decentralized Unsupervised Learning of Visual Representations. IJCAI Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu
2022	A*	`conf`	DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022	J	`jnl`	DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022	J	`jnl`	MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention. CoRR Wenxuan Zeng, Meng Li, Wenjie Xiong, Wenjie Lu, Jin Tan, Runsheng Wang, Ru Huang
2022	A*	`conf`	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2022	A*	`conf`	NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
2022	Misc	`conf`	Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2022	J	`jnl`	PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. CoRR Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
2022	—	`conf`	ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2022	A*	`conf`	SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CVPR Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
2022	J	`jnl`	SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CoRR Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
2021	J	`jnl`	AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
2021	A*	`conf`	AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
2021	A*	`conf`	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
2021	A*	`conf`	CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
2021	J	`jnl`	CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
2021	A	`conf`	DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
2021	J	`jnl`	Distributed Unsupervised Visual Representation Learning with Fused Features. CoRR Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu
2021	A*	`conf`	Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. ICML Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin
2021	J	`jnl`	GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan
2021	J	`jnl`	Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2021	—	`conf`	Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization. ASP-DAC Meng Li, Yilei Li, Vikas Chandra
2021	A*	`conf`	KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2021	J	`jnl`	Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra
2021	J	`jnl`	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2021	A*	`conf`	NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen
2021	J	`jnl`	Noisy Training Improves E2E ASR for the Edge. CoRR Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	J	`jnl`	Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	A*	`conf`	PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia 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
2021	J	`jnl`	PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR 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
2020	J	`jnl`	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
2020	A*	`conf`	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	J	`jnl`	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	J	`jnl`	DNA: Differentiable Network-Accelerator Co-Search. CoRR Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
2020	J	`jnl`	Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. CoRR Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra
2020	J	`jnl`	KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2020	J	`jnl`	NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen
2020	A*	`conf`	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA 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
2020	J	`jnl`	ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2020	J	`jnl`	TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann
2020	J	`jnl`	TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). CoRR Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann
2019	J	`jnl`	A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan
2019	J	`jnl`	Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan
2019	J	`jnl`	Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu
2019	A*	`conf`	GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks. DAC Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan
2019	—	`conf`	Hardware-software co-design of slimmed optical neural networks. ASP-DAC Zheng Zhao, Derong Liu, Meng Li, Zhoufeng Ying, Lu Zhang, Biying Xu, Bei Yu, Ray T. Chen, David Z. Pan
2019	C	`conf`	HeteroUI: A Framework Based on Heterogeneous Information Network Embedding for User Identification in Enterprise Networks. ICICS Meng Li, Lijun Cai, Aimin Yu, Haibo Yu, Dan Meng
2019	J	`jnl`	IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview. ACM Trans. Design Autom. Electr. Syst. Kaveh Shamsi, Meng Li, Kenneth Plaks, Saverio Fazzari, David Z. Pan, Yier Jin
2019	A	`conf`	KC2: Key-Condition Crunching for Fast Sequential Circuit Deobfuscation. DATE Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin
2019	A	`conf`	Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection. DATE Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan
2019	—	`conf`	LithoROC: lithography hotspot detection with explicit ROC optimization. ASP-DAC Wei Ye, Yibo Lin, Meng Li, Qiang Liu, David Z. Pan
2019	J	`jnl`	On the Approximation Resiliency of Logic Locking and IC Camouflaging Schemes. IEEE Trans. Inf. Forensics Secur. Kaveh Shamsi, Travis Meade, Meng Li, David Z. Pan, Yier Jin
2019	J	`jnl`	Provably Secure Camouflaging Strategy for IC Protection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan
2019	J	`jnl`	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR 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
2018	—	`conf`	A practical split manufacturing framework for Trojan prevention via simultaneous wire lifting and cell insertion. ASP-DAC Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan
2018	—	`conf`	Cross-Lock: Dense Layout-Level Interconnect Locking using Cross-bar Architectures. ACM Great Lakes Symposium on VLSI Kaveh Shamsi, Meng Li, David Z. Pan, Yier Jin
2018	—	`conf`	Data Efficient Lithography Modeling with Residual Neural Networks and Transfer Learning. ISPD Yibo Lin, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, Meng Li, David Z. Pan
2018	J	`jnl`	Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection. CoRR Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan
2018	J	`jnl`	Federated Learning with Non-IID Data. CoRR Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra
2018	J	`jnl`	Layout Synthesis for Topological Quantum Circuits With 1-D and 2-D Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yibo Lin, Bei Yu, Meng Li, David Z. Pan
2018	—	`conf`	Layout-dependent aging mitigation for critical path timing. ASP-DAC Che-Lun Hsu, Shaofeng Guo, Yibo Lin, Xiaoqing Xu, Meng Li, Runsheng Wang, Ru Huang, David Z. Pan
2018	—	`conf`	Power Grid Reduction by Sparse Convex Optimization. ISPD Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan
2018	J	`jnl`	SD-PUF: Spliced Digital Physical Unclonable Function. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jin Miao, Meng Li, Subhendu Roy, Yuzhe Ma, Bei Yu
2018	J	`jnl`	Subresolution Assist Feature Generation With Supervised Data Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaoqing Xu, Yibo Lin, Meng Li, Tetsuaki Matsunawa, Shigeki Nojima, Chikaaki Kodama, Toshiya Kotani, David Z. Pan
2018	A	`conf`	TimingSAT: Decamouflaging Timing-based Logic Obfuscation. ITC Meng Li, Kaveh Shamsi, Yier Jin, David Z. Pan
2018	J	`jnl`	UTPlaceF 2.0: A High-Performance Clock-Aware FPGA Placement Engine. ACM Trans. Design Autom. Electr. Syst. Wuxi Li, Yibo Lin, Meng Li, Shounak Dhar, David Z. Pan
2017	—	`conf`	AppSAT: Approximately deobfuscating integrated circuits. HOST Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin
2017	—	`conf`	Circuit Obfuscation and Oracle-guided Attacks: Who can Prevail? ACM Great Lakes Symposium on VLSI Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin
2017	A*	`conf`	Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. DAC Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan
2017	—	`conf`	Cyclic Obfuscation for Creating SAT-Unresolvable Circuits. ACM Great Lakes Symposium on VLSI Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, Yier Jin
2017	J	`jnl`	PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control. CoRR Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan
2017	J	`jnl`	Redundant Local-Loop Insertion for Unidirectional Routing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaoqing Xu, Yibo Lin, Meng Li, Jiaojiao Ou, Brian Cline, David Z. Pan
2017	A	`conf`	UTPlaceF 3.0: A parallelization framework for modern FPGA global placement: (Invited paper). ICCAD Wuxi Li, Meng Li, Jiajun Wang, David Z. Pan
2016	A*	`conf`	A Monte Carlo simulation flow for SEU analysis of sequential circuits. DAC Meng Li, Ye Wang, Michael Orshansky
2016	A	`conf`	LRR-DPUF: learning resilient and reliable digital physical unclonable function. ICCAD Jin Miao, Meng Li, Subhendu Roy, Bei Yu
2016	A*	`conf`	Practical public PUF enabled by solving max-flow problem on chip. DAC Meng Li, Jin Miao, Kai Zhong, David Z. Pan
2016	A	`conf`	Provably secure camouflaging strategy for IC protection. ICCAD Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan
2015	A*	`conf`	Novel power grid reduction method based on L1 regularization. DAC Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis