Li, Ke

114 publications

IJCAI 2025 App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation Ke Li, Leong Hou U, Shuo Shang

NeurIPS 2025 Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA Mingyu Huang, Shasha Zhou, Ke Li

AAAI 2025 Bridging Sequence-Structure Alignment in RNA Foundation Models Heng Yang, Renzhi Chen, Ke Li

IJCAI 2025 Conversational Exploration of Literature Landscape with LitChat Mingyu Huang, Shasha Zhou, Yuxuan Chen, Ke Li

AAAI 2025 Destroy and Repair Using Hyper-Graphs for Routing Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang

CVPR 2025 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment Xudong Li, Wenjie Nie, Yan Zhang, Runze Hu, Ke Li, Xiawu Zheng, Liujuan Cao

NeurIPS 2025 EDBench: Large-Scale Electron Density Data for Molecular Modeling Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng

AAAI 2025 ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng

AAAI 2025 FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection Ke Li, Di Wang, Zhangyuan Hu, Shaofeng Li, Weiping Ni, Lin Zhao, Quan Wang

AAAI 2025 Feature Denoising Diffusion Model for Blind Image Quality Assessment Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao

ICCV 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models Xudong Li, Zihao Huang, Yan Zhang, Yunhang Shen, Ke Li, Xiawu Zheng, Liujuan Cao, Rongrong Ji

CVPR 2025 FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression Bo Tong, Bokai Lai, Yiyi Zhou, Gen Luo, Yunhang Shen, Ke Li, Xiaoshuai Sun, Rongrong Ji

ICML 2025 Freeze-Omni: A Smart and Low Latency Speech-to-Speech Dialogue Model with Frozen LLM Xiong Wang, Yangze Li, Chaoyou Fu, Yike Zhang, Yunhang Shen, Lei Xie, Ke Li, Xing Sun, Long Ma

ICCV 2025 Global Motion Corresponder for 3D Point-Based Scene Interpolation Under Large Motion Junru Lin, Chirag Vashist, Mikaela Angelina Uy, Colton Stearns, Xuan Luo, Leonidas Guibas, Ke Li

AAAI 2025 Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators Dingkang Yang, Dongling Xiao, Jinjie Wei, Mingcheng Li, Zhaoyu Chen, Ke Li, Lihua Zhang

NeurIPS 2025 Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models Yulei Qin, Gang Li, Zongyi Li, Zihan Xu, Yuchen Shi, Zhekai Lin, Xiao Cui, Ke Li, Xing Sun

AAAI 2025 Know Where You Are from: Event-Based Segmentation via Spatio-Temporal Propagation Ke Li, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng

NeurIPS 2025 LTD-Bench: Evaluating Large Language Models by Letting Them Draw Liuhao Lin, Ke Li, Zihan Xu, Yuchen Shi, Yulei Qin, Yan Zhang, Xing Sun, Rongrong Ji

NeurIPS 2025 MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, Rongrong Ji, Caifeng Shan, Ran He

CVPR 2025 MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation Based Distillation Yuxiang Fu, Qi Yan, Lele Wang, Ke Li, Renjie Liao

AAAI 2025 Probability-Density-Aware Semi-Supervised Learning Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin

NeurIPS 2025 Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones Ke Li, Yan Ding, Zhiqin Zhu, Shenhai Zheng

TMLR 2025 Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun

AAAI 2025 VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention Jiangning Wei, Lixiong Qin, Bo Yu, Tianjian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu

NeurIPS 2025 VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction Chaoyou Fu, Haojia Lin, Xiong Wang, YiFan Zhang, Yunhang Shen, Xiaoyu Liu, Haoyu Cao, Zuwei Long, Heting Gao, Ke Li, Long Ma, Xiawu Zheng, Rongrong Ji, Xing Sun, Caifeng Shan, Ran He

NeurIPS 2025 VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model Zuwei Long, Yunhang Shen, Chaoyou Fu, Heting Gao, Lijiang Li, Peixian Chen, Mengdan Zhang, Hang Shao, Jian Li, Jinlong Peng, Haoyu Cao, Ke Li, Rongrong Ji, Xing Sun

AAAI 2025 VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song

CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-Modal LLMs in Video Analysis Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun

NeurIPS 2025 Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Xudong Li, Mengdan Zhang, Peixian Chen, Xiawu Zheng, Yan Zhang, Jingyuan Zheng, Yunhang Shen, Ke Li, Chaoyou Fu, Xing Sun, Rongrong Ji

CVPR 2024 A General and Efficient Training for Transformer via Token Expansion Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin

ICML 2024 Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji

ECCV 2024 Align Before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception Dingkang Yang, Dingkang Yang, Ke Li, Dongling Xiao, Zedian Shao, Peng Sun, Liang Song

CVPR 2024 Aligning and Prompting Everything All at Once for Universal Visual Perception Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji

AAAI 2024 Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence Shengbo Wang, Ke Li

NeurIPS 2024 Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits Tian Huang, Shengbo Wang, Ke Li

ICLR 2024 IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs Yuzhen Mao, Martin Ester, Ke Li

ICML 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji

CVPR 2024 PAPR in Motion: Seamless Point-Level 3D Scene Interpolation Shichong Peng, Yanshu Zhang, Ke Li

NeurIPS 2024 PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang

NeurIPS 2024 ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonida J. Guibas

ICMLW 2024 RNAInvBench: Benchmark for the RNA Inverse Design Problem Jack Cole, Fan Li, Liwen Wu, Ke Li

ECCV 2024 Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis Chirag Vashist, Shichong Peng, Ke Li

AAAI 2024 SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin

ICLR 2024 Scale-Adaptive Diffusion Model for Complex Sketch Synthesis Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song

AAAI 2024 Semi-Supervised Blind Image Quality Assessment Through Knowledge Distillation and Incremental Learning Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai

AAAI 2024 SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Enwei Zhang, Ke Li, Jie Yang, Wei Liu, Xing Sun

CVPR 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian

CVPR 2024 Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

ECCV 2024 Towards Multimodal Sentiment Analysis Debiasing via Bias Purification Dingkang Yang, Mingcheng Li, Dongling Xiao, Yang Liu, Kun Yang, Zhaoyu Chen, Yuzheng Wang, Peng Zhai, Ke Li, Lihua Zhang

CVPR 2024 Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection Ke Li, Di Wang, Zhangyuan Hu, Wenxuan Zhu, Shaofeng Li, Quan Wang

AAAI 2024 Weakly Supervised Open-Vocabulary Object Detection Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao

AAAI 2023 Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma

ICML 2023 Adaptive IMLE for Few-Shot Pretraining-Free Generative Modelling Mehran Aghabozorgi, Shichong Peng, Ke Li

CVPR 2023 Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation Phoenix Neale Williams, Ke Li

NeurIPS 2023 CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji

AAAI 2023 CF-ViT: A General Coarse-to-Fine Method for Vision Transformer Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji

CVPR 2023 CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

NeurIPS 2023 CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches Phoenix Williams, Ke Li

ICCV 2023 DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas Guibas

IJCAI 2023 Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems Mingyu Huang, Ke Li

NeurIPSW 2023 How Good Are Deep Generative Models for Solving Inverse Problems? Shichong Peng, Alireza Moazeni, Ke Li

WACV 2023 Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging Ke Li, Dengxin Dai, Luc Van Gool

NeurIPS 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu

ICCV 2023 Masked Autoencoders Are Efficient Class Incremental Learners Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

ICCV 2023 MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

NeurIPS 2023 Multi-Modal Queried Object Detection in the Wild Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu

NeurIPS 2023 NeRF Revisited: Fixing Quadrature Instability in Volume Rendering Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Thomas, Leonidas Guibas, Ke Li

NeurIPS 2023 PAPR: Proximity Attention Point Rendering Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li

CVPR 2023 Photo Pre-Training, but for Sketch Ke Li, Kaiyue Pang, Yi-Zhe Song

AAAI 2023 Practical Cross-System Shilling Attacks with Limited Access to Data Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li

NeurIPSW 2023 READ: Recurrent Adaptation of Large Transformers Sid Wang, John Nguyen, Ke Li, Carole-Jean Wu

CVPR 2023 SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas Guibas, Ke Li

CVPR 2023 SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song

NeurIPS 2023 “Why Not Looking Backward?” a Robust Two-Step Method to Automatically Terminate Bayesian Optimization Shuang Li, Ke Li, Wei Li

ECCV 2022 ARM: Any-Time Super-Resolution Method Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

CVPRW 2022 CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua, Lei Zhang

NeurIPS 2022 CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li

ECCV 2022 DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

ECCV 2022 Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

ECCV 2022 Efficient Decoder-Free Object Detection with Transformers Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen

AAAI 2022 Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun

ECCV 2022 Fine-Grained Data Distribution Alignment for Post-Training Quantization Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

WACV 2022 Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task Ke Li, Dengxin Dai, Luc Van Gool

NeurIPS 2022 Learning Best Combination for Efficient N:M Sparsity Yuxin Zhang, Mingbao Lin, ZhiHang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji

ECCV 2022 Long-Tailed Class Incremental Learning Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

NeurIPS 2022 Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li

CVPRW 2022 Multimodal Shape Completion via Implicit Maximum Likelihood Estimation Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri

NeurIPS 2022 PyramidCLIP: Hierarchical Feature Alignment for Vision-Language Model Pretraining Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen

MLJ 2022 Randomized Approximate Class-Specific Kernel Spectral Regression Analysis for Large-Scale Face Verification Ke Li, Gang Wu

ICML 2022 Self-Supervised Models Are Good Teaching Assistants for Vision Transformers Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li

IJCAI 2022 Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao

CVPR 2022 Training-Free Transformer Architecture Search Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji

ICCV 2021 Architecture Disentanglement for Deep Neural Networks Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji

CVPR 2021 DeRF: Decomposed Radiance Fields Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi

AAAI 2021 Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun

NeurIPSW 2021 Gotta Go Fast with Score-Based Generative Models Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas

AAAI 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun

CVPR 2021 Pose Recognition with Cascade Transformers Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu

CVPR 2021 Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun

IJCAI 2021 Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao

ICCV 2021 Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang

NeurIPS 2021 Variational Model Inversion Attacks Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani

AAAI 2020 Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li

ECCV 2020 Inclusive GAN: Improving Data and Minority Coverage in Generative Models Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz

NeurIPS 2020 Pruning Filter in Filter Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun

IJCAI 2020 Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips Ke Li, Lisi Chen, Shuo Shang

NeurIPS 2019 Approximate Feature Collisions in Neural Nets Ke Li, Tianhao Zhang, Jitendra Malik

ECCV 2018 Universal Sketch Perceptual Grouping Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang

ICML 2017 Fast K-Nearest Neighbour Search via Prioritized DCI Ke Li, Jitendra Malik

ICLR 2017 Learning to Optimize Ke Li, Jitendra Malik

ECCV 2016 Amodal Instance Segmentation Ke Li, Jitendra Malik

ICML 2016 Fast K-Nearest Neighbour Search via Dynamic Continuous Indexing Ke Li, Jitendra Malik

WACV 2016 Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu

CVPR 2016 Iterative Instance Segmentation Ke Li, Bharath Hariharan, Jitendra Malik