Bu, Jiajun

42 publications

ICML 2025 Efficient Personalized Adaptation for Physiological Signal Foundation Model Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu

IJCAI 2025 ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang

CVPR 2025 MP-GUI: Modality Perception with MLLMs for GUI Understanding Ziwei Wang, Weizhi Chen, Leyang Yang, Sheng Zhou, Shengchu Zhao, Hanbei Zhan, Jiongchao Jin, Liangcheng Li, Zirui Shao, Jiajun Bu

NeurIPS 2025 Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Qiaoyu Tan, Liangcheng Li, Jiajun Bu

AAAI 2025 MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang

CVPR 2025 Multi-Modal Medical Diagnosis via Large-Small Model Collaboration Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang

IJCAI 2025 Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang

AAAI 2025 ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data Yufan Shen, Chuwei Luo, Zhaoqing Zhu, Yang Chen, Qi Zheng, Zhi Yu, Jiajun Bu, Cong Yao

ICML 2025 Towards a Unified Framework of Clustering-Based Anomaly Detection Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu

NeurIPS 2025 Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Jiawei Chen, Jiajun Bu

ECCV 2024 Attention Beats Linear for Fast Implicit Neural Representation Generation Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu, Haishuai Wang

NeurIPS 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks Under Label Noise Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu

AAAI 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

NeurIPS 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou

ECCV 2024 WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation Zirui Shao, Feiyu Gao, Hangdi Xing, Zepeng Zhu, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao

AAAI 2023 LORE: Logical Location Regression Network for Table Structure Recognition Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu

ICCV 2023 Partition Speeds up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han

NeurIPS 2022 Hilbert Distillation for Cross-Dimensionality Networks Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu

ECCV 2022 Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu

ICCV 2021 Distilling Holistic Knowledge with Graph Neural Networks Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

ECCV 2020 An End-to-End OCR Text Re-Organization Sequence Learning for Rich-Text Detail Image Comprehension Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng

AAAI 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

IJCAI 2018 ANRL: Attributed Network Representation Learning via Deep Neural Networks Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang

AAAI 2016 Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu

AAAI 2014 Mapping Users Across Networks by Manifold Alignment on Hypergraph Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen

CVPR 2014 Semi-Supervised Coupled Dictionary Learning for Person Re-Identification Xiao Liu, Mingli Song, Dacheng Tao, Xingchen Zhou, Chun Chen, Jiajun Bu

CVPR 2014 Weakly Supervised Multiclass Video Segmentation Xiao Liu, Dacheng Tao, Mingli Song, Ying Ruan, Chun Chen, Jiajun Bu

AAAI 2014 Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai

IJCAI 2013 Harmonious Hashing Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He, Deng Cai

CVPR 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation Luming Zhang, Mingli Song, Zicheng Liu, Xiao Liu, Jiajun Bu, Chun Chen

CVPR 2013 Semi-Supervised Node Splitting for Random Forest Construction Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang, Chun Chen, Jiajun Bu

AAAI 2012 A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions Bin Xu, Jiajun Bu, Chun Chen, Deng Cai

AAAI 2012 Document Summarization Based on Data Reconstruction Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

AAAI 2012 Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression Lijun Zhang, Rong Jin, Chun Chen, Jiajun Bu, Xiaofei He

CVPR 2012 Video Stabilization with a Depth Camera Shuaicheng Liu, Yinting Wang, Lu Yuan, Jiajun Bu, Ping Tan, Jian Sun

AAAI 2011 Social Recommendation Using Low-Rank Semidefinite Program Jianke Zhu, Hao Ma, Chun Chen, Jiajun Bu

AAAI 2010 G-Optimal Design with Laplacian Regularization Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, Lijun Zhang, Cheng Zhang

AAAI 2010 Modeling Dynamic Multi-Topic Discussions in Online Forums Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu, Lijun Zhang, Jianfeng Shen

ECCV 2010 What Is the Chance of Happening: A New Way to Predict Where People Look Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen

IJCAI 2009 Expanding Domain Sentiment Lexicon Through Double Propagation Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen

ECCV 2006 EigenExpress Approach in Recognition of Facial Expression Using GPU Qi Wu, Mingli Song, Jiajun Bu, Chun Chen

CVPR 2004 Audio-Visual Based Emotion Recognition - A New Approach Mingli Song, Jiajun Bu, Chun Chen, Nan Li