Li, Yi

91 publications

AAAI 2025 Community-Centric Graph Unlearning Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng

AAAI 2025 Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement Yi Li, Yang Sun, Plamen P. Angelov

IJCAI 2025 Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation Zhirui Fang, Yi Li, Xin Xie, Chengyan Li, Yanqing Guo

ICML 2025 Efficiently Serving Large Multimodal Models Using EPD Disaggregation Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Bai Xiaolong, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan

ICML 2025 EgoPrivacy: What Your First-Person Camera Says About You? Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos

ICML 2025 Faster Approximation Algorithms for K-Center via Data Reduction Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li, Anurag Murty Naredla, Ioannis Psarros, Qiaoyuan Yang, Qin Zhang

ICLRW 2025 GRAPE: Generalizing Robot Policy via Preference Alignment Zijian Zhang, Kaiyuan Zheng, Zhaorun Chen, Joel Jang, Yi Li, Siwei Han, Chaoqi Wang, Mingyu Ding, Dieter Fox, Huaxiu Yao

ICLR 2025 HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal

ICLR 2025 Near-Optimal Active Regression of Single-Index Models Yi Li, Wai Ming Tai

CVPRW 2025 Prototype-Based Continual Learning with Label-Free Replay Buffer and Cluster Preservation Loss Agil Aghasanli, Yi Li, Plamen Angelov

NeurIPS 2025 Reconciling Geospatial Prediction and Retrieval via Sparse Representations Yi Li, Yuanlong Chen, Weiming Huang, Xiaoli Li, Gao Cong

ICML 2025 Robust Sparsification via Sensitivity Chansophea Wathanak In, Yi Li, David Woodruff, Xuan Wu

NeurIPS 2025 Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations Yuhao Yang, Zhi Ji, Zhaopeng Li, Yi Li, Zhonglin Mo, Yue Ding, Kai Chen, Zijian Zhang, Jie Li, Shuanglong Li, Liu Lin

CVPR 2025 Split Adaptation for Pre-Trained Vision Transformers Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu

IJCAI 2025 Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation Yating Liu, Xin Zheng, Yi Li, Yanqing Guo

ICCV 2025 Token Activation mAP to Visually Explain Multimodal LLMs Yi Li, Hualiang Wang, Xinpeng Ding, Haonan Wang, Xiaomeng Li

WACV 2025 Vision-Based Landing Guidance Through Tracking and Orientation Estimation João P. K. Ferreira, João P. Pinto, Júlia Moura, Yi Li, Cristiano L. Castro, Plamen Angelov

NeurIPS 2025 You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li

COLT 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity Aarshvi Gajjar, Wai Ming Tai, Xu Xingyu, Chinmay Hegde, Christopher Musco, Yi Li

CVPR 2024 AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation Haonan Wang, Qixiang Zhang, Yi Li, Xiaomeng Li

AAAI 2024 BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu

CVPRW 2024 Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches Yi Li, Yunan Wu, Aggelos K. Katsaggelos

NeurIPSW 2024 Explainable Audio-Visual Representation Learning via Prototypical Contrastive Masked Autoencoder Yi Li, Plamen P Angelov

ICML 2024 Longitudinal Targeted Minimum Loss-Based Estimation with Temporal-Difference Heterogeneous Transformer Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao, Hiroyasu Iso, Mark J. Van Der Laan

ICLR 2024 One-Shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang

ICLR 2024 Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms Yi Li, Honghao Lin, David Woodruff

CVPRW 2024 PUDD: Towards Robust Multi-Modal Prototype-Based Deepfake Detection Alvaro Lopez Pellcier, Yi Li, Plamen Angelov

NeurIPSW 2024 Robust Self-Supervised Learning for Adversarial Attack Detection Yi Li, Plamen P Angelov, Neeraj Suri

ECCV 2024 Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li, Plamen Angelov, Neeraj Suri

COLT 2023 $\ell_p$-Regression in the Arbitrary Partition Model of Communication Yi Li, Honghao Lin, David Woodruff

ICCV 2023 CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li

ICLR 2023 Learning the Positions in CountSketch Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David Woodruff

CoRL 2023 STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox

CVPR 2023 SViTT: Temporal Learning of Sparse Video-Text Transformers Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos

CVPR 2022 Artistic Style Discovery with Independent Components Xin Xie, Yi Li, Huaibo Huang, Haiyan Fu, Wanwan Wang, Yanqing Guo

ECCV 2022 CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement Xingyu Liu, Gu Wang, Yi Li, Xiangyang Ji

AAAI 2022 Close the Loop: A Unified Bottom-up and Top-Down Paradigm for Joint Image Deraining and Segmentation Yi Li, Yi Chang, Changfeng Yu, Luxin Yan

NeurIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

CVPR 2022 Improving Video Model Transfer with Dynamic Representation Learning Yi Li, Nuno Vasconcelos

ICML 2022 Online Active Regression Cheng Chen, Yi Li, Yiming Sun

CVPR 2022 Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal Yi Li, Yi Chang, Yan Gao, Changfeng Yu, Luxin Yan

AAAI 2022 Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li

CVPR 2022 VALHALLA: Visual Hallucination for Machine Translation Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio S. Feris, David Cox, Nuno Vasconcelos

ICCV 2021 BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

AAAI 2021 Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach Yiyuan Yang, Yi Li, Taojia Zhang, Yan Zhou, Haifeng Zhang

JMLR 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach Zhe Fei, Yi Li

COLT 2021 Exponentially Improved Dimensionality Reduction for L1: Subspace Embeddings and Independence Testing Yi Li, David Woodruff, Taisuke Yasuda

AAAI 2021 GraphMSE: Efficient Meta-Path Selection in Semantically Aligned Feature Space for Graph Neural Networks Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang

ICCV 2021 Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang

ICML 2021 Single Pass Entrywise-Transformed Low Rank Approximation Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David Woodruff

ICLR 2021 Towards Impartial Multi-Task Learning Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

IJCAI 2020 Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He

AAAI 2020 Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework Heyuan Wang, Tengjiao Wang, Yi Li

ECCV 2020 Informative Sample Mining Network for Multi-Domain Image-to-Image Translation Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun

ICML 2020 Input-Sparsity Low Rank Approximation in Schatten Norm Yi Li, David Woodruff

NeurIPS 2020 Learning Representations from Audio-Visual Spatial Alignment Pedro Morgado, Yi Li, Nuno Nvasconcelos

ICLR 2020 Learning-Augmented Data Stream Algorithms Tanqiu Jiang, Yi Li, Honghao Lin, Yisong Ruan, David P. Woodruff

ICML 2020 Nearly Linear Row Sampling Algorithm for Quantile Regression Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang

AAAI 2020 PSENet: Psoriasis Severity Evaluation Network Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang

IJCAI 2019 Pose-Preserving Cross Spectral Face Hallucination Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He

AAAI 2018 Anti-Makeup: Learning a Bi-Level Adversarial Network for Makeup-Invariant Face Verification Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan

ECCV 2018 DeepIM: Deep Iterative Matching for 6d Pose Estimation Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox

ICML 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order Vladimir Braverman, Stephen Chestnut, Robert Krauthgamer, Yi Li, David Woodruff, Lin Yang

ECCV 2018 RESOUND: Towards Action Recognition Without Representation Bias Yingwei Li, Yi Li, Nuno Vasconcelos

JMLR 2017 A Robust-Equitable Measure for Feature Ranking and Selection A. Adam Ding, Jennifer G. Dy, Yi Li, Yale Chang

ICCV 2017 Deformable Convolutional Networks Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei

CVPR 2017 Fully Convolutional Instance-Aware Semantic Segmentation Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Yichen Wei

IJCAI 2017 Opinion-Aware Knowledge Graph for Political Ideology Detection Wei Chen, Xiao Zhang, Tengjiao Wang, Bishan Yang, Yi Li

ECML-PKDD 2017 PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining Yi Li, Yitao Duan, Wei Xu

ACML 2017 Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices Yi Li, Aidong Adam Ding, Jennifer Dy

AISTATS 2016 A Robust-Equitable Copula Dependence Measure for Feature Selection Yale Chang, Yi Li, A. Adam Ding, Jennifer G. Dy

ECCV 2016 Instance-Sensitive Fully Convolutional Networks Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun

NeurIPS 2016 R-FCN: Object Detection via Region-Based Fully Convolutional Networks Jifeng Dai, Yi Li, Kaiming He, Jian Sun

CVPR 2015 Grasp Type Revisited: A Modern Perspective on a Classical Feature for Vision Yezhou Yang, Cornelia Fermuller, Yi Li, Yiannis Aloimonos

CVPR 2015 Making Better Use of Edges via Perceptual Grouping Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li, Jun Guo

AAAI 2015 Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos

CVPR 2015 Sketch-Based 3D Shape Retrieval Using Convolutional Neural Networks Fang Wang, Le Kang, Yi Li

CVPR 2014 Convolutional Neural Networks for No-Reference Image Quality Assessment Le Kang, Peng Ye, Yi Li, David Doermann

CVPR 2014 Is Rotation a Nuisance in Shape Recognition? Qiuhong Ke, Yi Li

CVPR 2014 Orientation Robust Text Line Detection in Natural Images Le Kang, Yi Li, David Doermann

CVPR 2013 Beyond Physical Connections: Tree Models in Human Pose Estimation Fang Wang, Yi Li

IJCAI 2013 Learning Visual Symbols for Parsing Human Poses in Images Fang Wang, Yi Li

CVPR 2010 ARISTA - Image Search to Annotation on Billions of Web Photos Xin-Jing Wang, Lei Zhang, Ming Liu, Yi Li, Wei-Ying Ma

ECCV 2010 Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model Xiaoyang Tan, Yi Li, Jun Liu, Lin Jiang

CVPR 2010 Learning Shift-Invariant Sparse Representation of Actions Yi Li, Cornelia Fermüller, Yiannis Aloimonos, Hui Ji

ECCV 2008 Learning Visual Shape Lexicon for Document Image Content Recognition Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann

NeurIPS 2006 Learnability and the Doubling Dimension Yi Li, Philip M. Long

ICCV 2005 A Generative/Discriminative Learning Algorithm for Image Classification Yi Li, Linda G. Shapiro, Jeff A. Bilmes

MLJ 2002 The Relaxed Online Maximum Margin Algorithm Yi Li, Philip M. Long

ICML 2000 Selective Voting for Perception-like Online Learning Yi Li

NeurIPS 1999 The Relaxed Online Maximum Margin Algorithm Yi Li, Philip M. Long