Li, Meng

34 publications

ICML 2025 Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$ Shengbin Ye, Meng Li

NeurIPS 2025 CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li

CVPR 2025 Degradation-Aware Feature Perturbation for All-in-One Image Restoration Xiangpeng Tian, Xiangyu Liao, Xiao Liu, Meng Li, Chao Ren

NeurIPS 2025 EfficientNav: Towards On-Device Object-Goal Navigation with Navigation mAP Caching and Retrieval Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li

NeurIPS 2025 FreqPolicy: Efficient Flow-Based Visuomotor Policy via Frequency Consistency Yifei Su, Ning Liu, Dong Chen, Zhen Zhao, Kun Wu, Meng Li, Zhiyuan Xu, Zhengping Che, Jian Tang

NeurIPS 2025 MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference Wenxuan Zeng, Ye Dong, Jinjin Zhou, Jin Tan, Lei Wang, Tao Wei, Runsheng Wang, Meng Li

AAAI 2025 SMamba: Sparse Mamba for Event-Based Object Detection Nan Yang, Yang Wang, Zhanwen Liu, Meng Li, Yisheng An, Xiangmo Zhao

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

ECCV 2024 Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture Zhigao Cao, Meng Li, Xiashuang Wang, Haoyu Wang, Fan Wang, Youjun Li, Zigang Huang

AAAI 2024 Intra- and Inter-Group Optimal Transport for User-Oriented Fairness in Recommender Systems Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin

NeurIPS 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li

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

CVPR 2023 Frame-Event Alignment and Fusion Network for High Frame Rate Tracking Jiqing Zhang, Yuanchen Wang, Wenxi Liu, Meng Li, Jinpeng Bai, Baocai Yin, Xin Yang

ICCV 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

JMLR 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators Zejian Liu, Meng Li

AAAI 2023 Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration Meng Li, Yahan Yu, Yi Yang, Guanghao Ren, Jian Wang

NeurIPS 2022 BiT: Robustly Binarized Multi-Distilled Transformer Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad

ECCV 2022 Content-Oriented Learned Image Compression Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang

IJCAI 2022 Decentralized Unsupervised Learning of Visual Representations Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu

ICML 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

JMLR 2022 Double Spike Dirichlet Priors for Structured Weighting Huiming Lin, Meng Li

ECCV 2022 Few-Shot Class-Incremental Learning from an Open-Set Perspective Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell

CVPR 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

ICLR 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

AutoML 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

CVPR 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

ICML 2021 AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

CVPR 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra

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

ICML 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

CVPR 2021 KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

AAAI 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

ICLR 2020 Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu

WACVW 2017 A Phase Field Variational Model with Arctangent Regularization for Saliency Detection Meng Li, Xing Liu, Liming Tang