Liu, Yi

83 publications

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

AAAI 2025 CALM: Curiosity-Driven Auditing for Large Language Models Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang

ICCV 2025 CoST: Efficient Collaborative Perception from Unified Spatiotemporal Perspective Zongheng Tang, Yi Liu, Yifan Sun, Yulu Gao, Jinyu Chen, Runsheng Xu, Si Liu

AAAI 2025 Controllable Protein Sequence Generation with LLM Preference Optimization Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu

ICCV 2025 CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation Yi Liu, Shengqian Li, Zuzeng Lin, Feng Wang, Si Liu

IJCAI 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning Jia Zhang, Chen-Xi Zhang, Yao Liu, Yi-Xuan Jin, Xiao-Wen Yang, Bo Zheng, Yi Liu, Lan-Zhe Guo

ICLR 2025 DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

ICLR 2025 Discretization-Invariance? on the Discretization Mismatch Errors in Neural Operators Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu

MLJ 2025 Dual-View Data Augmentation at Subgraph Level and Graph Contrastive Learning for Sequential Recommendation Caihong Mu, Haikun Yu, Lang Qin, Yi Liu

TMLR 2025 Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu

CVPR 2025 Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space Yi Liu, Wengen Li, Jihong Guan, Shuigeng Zhou, Yichao Zhang

TMLR 2025 Efficient Exploration in Multi-Agent Reinforcement Learning via Farsighted Self-Direction Tiancheng Lao, Xudong Guo, Mengge Liu, Junjie Yu, Yi Liu, Wenhui Fan

NeurIPS 2025 Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Cheng Wang, Wangshi.Ww, Yi Wang, Ruixuan Li

NeurIPS 2025 Enhancing Privacy in Multimodal Federated Learning with Information Theory Tianzhe Xiao, Yichen Li, Yining Qi, Yi Liu, Wangshi.Ww, Haozhao Wang, Yi Wang, Ruixuan Li

CVPR 2025 Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways Yi Liu, Hao Zhou, Benlei Cui, Wenxiang Shang, Ran Lin

CVPRW 2025 Expanded SPAN for Efficient Super-Resolution Qing Wang, Yang Wang, Hongyu An, Yi Liu, Liou Zhang, Shijie Zhao

AAAI 2025 Exploring Enhanced Contextual Information for Video-Level Object Tracking Ben Kang, Xin Chen, Simiao Lai, Yang Liu, Yi Liu, Dong Wang

NeurIPS 2025 Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models Yi Liu, Dianqing Liu, Mingye Zhu, Junbo Guo, Yongdong Zhang, Zhendong Mao

NeurIPS 2025 Leveraging Robust Optimization for LLM Alignment Under Distribution Shifts Mingye Zhu, Yi Liu, Zheren Fu, Yongdong Zhang, Zhendong Mao

ICLR 2025 On-the-Fly Preference Alignment via Principle-Guided Decoding Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

NeurIPS 2025 PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang

ICML 2025 RISE: Radius of Influence Based Subgraph Extraction for 3D Molecular Graph Explanation Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu

IJCAI 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong

AAAI 2025 SUTrack: Towards Simple and Unified Single Object Tracking Xin Chen, Ben Kang, Wanting Geng, Jiawen Zhu, Yi Liu, Dong Wang, Huchuan Lu

IJCAI 2025 Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection Yi Liu, Changsheng Zhang, Yufei Yang

AAAI 2025 VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis Chao Pang, Xingxing Weng, Jiang Wu, Jiayu Li, Yi Liu, Jiaxing Sun, Weijia Li, Shuai Wang, Litong Feng, Gui-Song Xia, Conghui He

AAAI 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach Yangdi Jiang, Yi Liu, Xiaodong Yan, Anne-Sophie Charest, Linglong Kong, Bei Jiang

AAAI 2024 Benchmarking Large Language Models on Controllable Generation Under Diversified Instructions Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao

CVPR 2024 CAMixerSR: Only Details Need More "Attention" Yan Wang, Yi Liu, Shijie Zhao, Junlin Li, Li Zhang

TMLR 2024 Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu

CVPR 2024 DETRs Beat YOLOs on Real-Time Object Detection Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, Jie Chen

NeurIPS 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu

AAAI 2024 Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao

CVPR 2024 MVBench: A Comprehensive Multi-Modal Video Understanding Benchmark Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Yi Liu, Zun Wang, Jilan Xu, Guo Chen, Ping Luo, Limin Wang, Yu Qiao

ICML 2024 Multi-Source Conformal Inference Under Distribution Shift Yi Liu, Alexander Levis, Sharon-Lise Normand, Larry Han

ICLR 2024 Neural Field Classifiers via Target Encoding and Classification Loss Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun

ICMLW 2024 PLUTO: Pathology-Universal Transformer Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma L Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Vardhan Pokkalla, Andrew H. Beck, Sean Grullon

ICMLW 2024 PLUTO: Pathology-Universal Transformer Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma L Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric E. Walk, John Abel, Harsha Vardhan Pokkalla, Andrew H. Beck, Sean Grullon

ICMLW 2024 PLUTO: Pathology-Universal Transformer Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Vardhan Pokkalla, Andrew H. Beck, Sean Grullon

CVPR 2024 Tactile-Augmented Radiance Fields Yiming Dou, Fengyu Yang, Yi Liu, Antonio Loquercio, Andrew Owens

CVPRW 2024 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

AAAI 2024 Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning Kaibin Tian, Yanhua Cheng, Yi Liu, Xinglin Hou, Quan Chen, Han Li

ICML 2024 Tuning-Free Estimation and Inference of Cumulative Distribution Function Under Local Differential Privacy Yi Liu, Qirui Hu, Linglong Kong

ECCV 2024 VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models Shicheng Li, Lei Li, Yi Liu, Shuhuai Ren, Yuanxin Liu, Rundong Gao, Xu Sun, Lu Hou

NeurIPSW 2024 What You See Is What You Get: Entity-Aware Summarization for Reliable Sponsored Search Xiao Liang, Xinyu Hu, Simiao Zuo, Jimi He, Yu Wang, Victor Ye Dong, Yeyun Gong, Kushal S. Dave, Yi Liu, Qiang Lou, Shao-Lun Huang, Jian Jiao

CVPRW 2023 AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Jianzhuang Liu, Youliang Yan

MLJ 2023 Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou

ICML 2023 Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji

CVPRW 2023 Efficient Deep Models for Real-Time 4k Image Super-Resolution. NTIRE 2023 Benchmark and Report Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo

NeurIPS 2023 Gaussian Differential Privacy on Riemannian Manifolds Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang

ICLR 2023 Learning Hierarchical Protein Representations via Complete 3D Graph Networks Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

ICCV 2023 Lightweight Image Super-Resolution with Superpixel Token Interaction Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao

CVPR 2023 Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu

ICML 2023 Online Local Differential Private Quantile Inference via Self-Normalization Yi Liu, Qirui Hu, Lei Ding, Linglong Kong

ICML 2023 Semi-Offline Reinforcement Learning for Optimized Text Generation Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan

NeurIPS 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu

NeurIPS 2022 ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji

NeurIPS 2022 Hierarchical Channel-Spatial Encoding for Communication-Efficient Collaborative Learning Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

AAAI 2022 How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li

NeurIPS 2022 Identification, Amplification and Measurement: A Bridge to Gaussian Differential Privacy Yi Liu, Ke Sun, Bei Jiang, Linglong Kong

NeurIPS 2022 Periodic Graph Transformers for Crystal Material Property Prediction Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji

ICLR 2022 Spherical Message Passing for 3D Molecular Graphs Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji

MLOSS 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora M Oztekin, Xuan Zhang, Shuiwang Ji

NeurIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong

ICCVW 2021 EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai

CVPR 2021 Mask-Embedded Discriminator with Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong

ICCV 2021 Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Feng Liangbing, Hau San Wong

IJCAI 2020 Internal and Contextual Attention Network for Cold-Start Multi-Channel Matching in Recommendation Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin

AAAI 2019 A Human-like Semantic Cognition Network for Aspect-Level Sentiment Classification Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu

CVPRW 2019 CATS 2: Color and Thermal Stereo Scenes with Semantic Labels Wayne Treible, Philip Saponaro, Yi Liu, Agnijit Das Gupta, Vinit Veerendraveer Singh, Scott Sorensen, Chandra Kambhamettu

CVPRW 2019 Intersection to Overpass: Instance Segmentation on Filamentous Structures with an Orientation-Aware Neural Network and Terminus Pairing Algorithm Yi Liu, Abhishek Kolagunda, Wayne Treible, Alex Nedo, Jeffrey Caplan, Chandra Kambhamettu

AAAI 2018 Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers Leen-Kiat Soh, Elizabeth Lorang, Yi Liu

ECCVW 2018 Densely Connected Stacked U-Network for Filament Segmentation in Microscopy Images Yi Liu, Wayne Treible, Abhishek Kolagunda, Alex Nedo, Philip Saponaro, Jeffrey Caplan, Chandra Kambhamettu

CVPR 2017 Teaching Compositionality to CNNs Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George

ECCV 2016 Feasibility Analysis of Eye Typing with a Standard Webcam Yi Liu, Bu-Sung Lee, Andrzej Sluzek, Deepu Rajan, Martin J. McKeown

ECCVW 2016 Feasibility Analysis of Eye Typing with a Standard Webcam Yi Liu, Bu-Sung Lee, Andrzej Sluzek, Deepu Rajan, Martin J. McKeown

ICCV 2011 Large-Scale Image Annotation Using Visual Synset David Tsai, Yushi Jing, Yi Liu, Henry A. Rowley, Sergey Ioffe, James M. Rehg

AAAI 2008 Dimension Amnesic Pyramid Match Kernel Yi Liu, Xulei Wang, Hongbin Zha

CVPR 2008 Discriminative Local Binary Patterns for Human Detection in Personal Album Yadong Mu, Shuicheng Yan, Yi Liu, Thomas S. Huang, Bingfeng Zhou

AAAI 2006 An Efficient Algorithm for Local Distance Metric Learning Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu

AAAI 2006 Semi-Supervised Multi-Label Learning by Constrained Non-Negative Matrix Factorization Yi Liu, Rong Jin, Liu Yang

CVPR 2006 Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval Yi Liu, Hongbin Zha, Hong Qin

AAAI 2005 Query Translation Disambiguation as Graph Partitioning Yi Liu, Rong Jin