Li, Hai

48 publications

ICCV 2025 Keyframe-Oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing Yudong Liu, Jingwei Sun, Yueqian Lin, Jianyi Zhang, Jingyang Zhang, Ming Yin, Qinsi Wang, Hai Li, Yiran Chen

WACV 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li

ICLR 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Frank Yang, Hai Li

CVPR 2025 PanoGS: Gaussian-Based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding Hongjia Zhai, Hai Li, Zhenzhe Li, Xiaokun Pan, Yijia He, Guofeng Zhang

ICLR 2025 Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li

ICML 2025 SADA: Stability-Guided Adaptive Diffusion Acceleration Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

CVPRW 2024 CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen

CVPR 2024 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling Xuzhe Zhang, Yuhao Wu, Elsa Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

WACV 2024 Tunable Hybrid Proposal Networks for the Open World Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen

ICLRW 2024 Unsolvable Problem Detection for Vision Language Models Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

ICLR 2023 Disentangling Learning Representations with Density Estimation Eric Yeats, Frank Y Liu, Hai Li

NeurIPS 2023 FLSL: Feature-Level Self-Supervised Learning Qing Su, Anton Netchaev, Hai Li, Shihao Ji

ICML 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li

CoLLAs 2023 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen

CVPR 2023 Global Vision Transformer Pruning with Hessian-Aware Saliency Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

WACV 2023 Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

WACV 2023 PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

AAAI 2023 REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo

ICCV 2023 Stable and Causal Inference for Discriminative Self-Supervised Deep Visual Representations Yuewei Yang, Hai Li, Yiran Chen

CVPR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Li, Yiran Chen

NeurIPSW 2022 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen

ECCV 2022 NashAE: Disentangling Representations Through Adversarial Covariance Minimization Eric Yeats, Frank Liu, David Womble, Hai Li

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

WACV 2022 The Untapped Potential of Off-the-Shelf Convolutional Neural Networks Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen

ICLR 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang, Lin Duan, Yiran Chen, Hai Li

ICCVW 2021 Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen

NeurIPS 2021 FL-WBC: Enhancing Robustness Against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li

ICML 2021 Improving Gradient Regularization Using Complex-Valued Neural Networks Eric C Yeats, Yiran Chen, Hai Li

AAAI 2021 KGDet: Keypoint-Guided Fashion Detection Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao

WACV 2021 Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization Qian Zhang, Bo Wang, Wei Wen, Hai Li, Junhui 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

CVPR 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen

ICLR 2020 AutoGrow: Automatic Layer Growing in Deep Convolutional Networks Wei Wen, Feng Yan, Yiran Chen, Hai Li

NeurIPS 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li

ICLR 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang, Wei Wen, Hai Li

CVPRW 2020 Learning Low-Rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

ECCV 2020 Neural Predictor for Neural Architecture Search Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans

ICML 2020 PENNI: Pruned Kernel Sharing for Efficient CNN Inference Shiyu Li, Edward Hanson, Hai Li, Yiran Chen

NeurIPS 2019 Defending Neural Backdoors via Generative Distribution Modeling Ximing Qiao, Yukun Yang, Hai Li

ICCVW 2019 MSNet: Structural Wired Neural Architecture Search for Internet of Things Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li

ICLR 2018 Learning Intrinsic Sparse Structures Within Long Short-Term Memory Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li

CVPR 2017 A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li

ICCV 2017 Coordinating Filters for Faster Deep Neural Networks Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

ICLR 2017 Faster CNNs with Direct Sparse Convolutions and Guided Pruning Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey

NeurIPS 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

NeurIPS 2016 Learning Structured Sparsity in Deep Neural Networks Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li