Du, Bo

102 publications

NeurIPS 2025 AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao

NeurIPS 2025 Backdoor Cleaning Without External Guidance in MLLM Fine-Tuning Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye

ICML 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao

CVPR 2025 Cheb-GR: Rethinking K-Nearest Neighbor Search in Re-Ranking for Person Re-Identification Jinxi Yang, He Li, Bo Du, Mang Ye

ICCV 2025 CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs Yihan Cao, Jiazhao Zhang, Zhinan Yu, Shuzhen Liu, Zheng Qin, Qin Zou, Bo Du, Kai Xu

ICCV 2025 Conditional Visual Autoregressive Modeling for Pathological Image Restoration Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqiang Li, Ruixuan Wang, Bo Du, Hao Chen

NeurIPS 2025 DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du

ICML 2025 Decision Mixer: Integrating Long-Term and Local Dependencies via Dynamic Token Selection for Decision-Making Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao

IJCAI 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-Attributed Graph Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang

NeurIPS 2025 ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization Bo Du, Xuekang Zhu, Xiaochen Ma, Chenfan Qu, Kaiwen Feng, Zhe Yang, Chi-Man Pun, Jian Liu, Ji-Zhe Zhou

ICML 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

NeurIPS 2025 GeoLLaVA-8k: Scaling Remote-Sensing Multimodal Large Language Models to 8k Resolution Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Shan Boqi, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang

NeurIPS 2025 HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning Guancheng Wan, Xiaoran Shang, Yuxin Wu, Guibin Zhang, Jinhe Bi, Liangtao Zheng, Xin Lin, Yue Liu, Yanbiao Ma, Wenke Huang, Bo Du

AAAI 2025 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao

ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

NeurIPS 2025 MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning Guancheng Wan, Fengyuan Ran, Ruikang Zhang, Wenke Huang, Xuankun Rong, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

NeurIPS 2025 Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao

AAAI 2025 Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization Xuekang Zhu, Xiaochen Ma, Lei Su, Zhuohang Jiang, Bo Du, Xiwen Wang, Zeyu Lei, Wentao Feng, Chi-Man Pun, Jizhe Zhou

NeurIPS 2025 Multi-Order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning Guancheng Wan, Xu Cheng, Run Liu, Wenke Huang, Zitong Shi, Pinyi Jin, Guibin Zhang, Bo Du, Mang Ye

NeurIPS 2025 OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration Guancheng Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye

IJCAI 2025 Pixel-Wise Divide and Conquer for Federated Vessel Segmentation Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu

ICCV 2025 Rethink Sparse Signals for Pose-Guided Text-to-Image Generation Wenjie Xuan, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao

ICML 2025 Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao

NeurIPS 2025 Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs Jun Wang, Liang Ding, Shuai Wang, Hongyu Li, Yong Luo, Huangxuan Zhao, Han Hu, Bo Du

IJCAI 2025 Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-Distillation Feizhen Huang, Yu Wu, Yutian Lin, Bo Du

ICCV 2025 Unsupervised Visible-Infrared Person Re-Identification Under Unpaired Settings Haoyu Yao, Bin Yang, Wenke Huang, Bo Du, Mang Ye

NeurIPS 2025 Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Shuhan Xu, Bo Du, Jialie Shen, Dacheng Tao

AAAI 2025 Vox-UDA: Voxel-Wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu

AAAI 2025 WaterDiffusion: Learning a Prior-Involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu

ICML 2025 When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap Is All You Need Ziming Hong, Runnan Chen, Zengmao Wang, Bo Han, Bo Du, Tongliang Liu

CVPR 2024 All in One Framework for Multimodal Re-Identification in the Wild He Li, Mang Ye, Ming Zhang, Bo Du

AAAI 2024 Cycle Self-Refinement for Multi-Source Domain Adaptation Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo

ECCV 2024 Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao

NeurIPS 2024 GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao

NeurIPS 2024 IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou

ICML 2024 Imitation Learning from Purified Demonstrations Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu

CVPR 2024 Improving Bird's Eye View Semantic Segmentation by Task Decomposition Tianhao Zhao, Yongcan Chen, Yu Wu, Tianyang Liu, Bo Du, Peilun Xiao, Shi Qiu, Hongda Yang, Guozhen Li, Yi Yang, Yutian Lin

CVPR 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names Yapeng Li, Yong Luo, Zengmao Wang, Bo Du

AAAI 2024 Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification Minghui Liao, Guojia Wan, Bo Du

IJCAI 2024 LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du

NeurIPS 2024 MMSite: A Multi-Modal Framework for the Identification of Active Sites in Proteins Song Ouyang, Huiyu Cai, Yong Luo, Kehua Su, Lefei Zhang, Bo Du

ICML 2024 MOKD: Cross-Domain Finetuning for Few-Shot Classification via Maximizing Optimized Kernel Dependence Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-Ming Cheung, Bo Han

ICLR 2024 Online GNN Evaluation Under Test-Time Graph Distribution Shifts Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan

NeurIPS 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du

ICLR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao

ICML 2024 Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du

ECCV 2024 Shifted Autoencoders for Point Annotation Restoration in Object Counting Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu

ICML 2024 Sparse Is Enough in Fine-Tuning Pre-Trained Large Language Models Weixi Song, Zuchao Li, Lefei Zhang, Hai Zhao, Bo Du

NeurIPS 2024 Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model Sai Wang, Yutian Lin, Yu Wu, Bo Du

CVPR 2024 UniGS: Unified Representation for Image Generation and Segmentation Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang

NeurIPS 2024 What if the Input Is Expanded in OOD Detection? Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du, Bo Han

NeurIPS 2023 AIMS: All-Inclusive Multi-Level Segmentation for Anything Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang

ICML 2023 Bidirectional Looking with a Novel Double Exponential Moving Average to Adaptive and Non-Adaptive Momentum Optimizers Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao

AAAI 2023 DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao

CVPR 2023 DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao

IJCAI 2023 Federated Graph Semantic and Structural Learning Wenke Huang, Guancheng Wan, Mang Ye, Bo Du

ICCV 2023 Generating Dynamic Kernels via Transformers for Lane Detection Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles

IJCAI 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao

IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

CVPR 2023 Rethinking Federated Learning with Domain Shift: A Prototype View Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du

NeurIPS 2023 Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective Yingying Fan, Yu Wu, Bo Du, Yutian Lin

CVPR 2023 Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu

NeurIPS 2023 SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang

NeurIPS 2023 Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao

CVPR 2023 Token Contrast for Weakly-Supervised Semantic Segmentation Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du

AAAI 2023 Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang, Bo Du, Chang Xu

ICML 2022 Expression Might Be Enough: Representing Pressure and Demand for Reinforcement Learning Based Traffic Signal Control Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

CVPR 2022 Learn from Others and Be Yourself in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Bo Du

CVPR 2022 Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du

ECML-PKDD 2022 Masked Graph Auto-Encoder Constrained Graph Pooling Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu

CVPR 2022 Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization Ziyi Liu, Zengmao Wang, Bo Du

AAAI 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

IJCAI 2022 Self-Paced Supervision for Multi-Source Domain Adaptation Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He

NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang

AAAI 2022 Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du

ICCV 2021 Channel Augmented Joint Learning for Visible-Infrared Recognition Mang Ye, Weijian Ruan, Bo Du, Mike Zheng Shou

ICCVW 2021 DeepFake MNIST+: A DeepFake Facial Animation Dataset Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu

ICCV 2021 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan

AAAI 2021 GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning Guojia Wan, Bo Du

IJCAI 2021 Learning Visual Words for Weakly-Supervised Semantic Segmentation Lixiang Ru, Bo Du, Chen Wu

ICML 2021 Learning to Weight Imperfect Demonstrations Yunke Wang, Chang Xu, Bo Du, Honglak Lee

ICCV 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du

AAAI 2021 RNA Secondary Structure Representation Network for RNA-Proteins Binding Prediction Ziyi Liu, Fulin Luo, Bo Du

IJCAI 2021 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations Yunke Wang, Chang Xu, Bo Du

AAAI 2020 Compressed Self-Attention for Deep Metric Learning Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du

IJCAI 2020 Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du

IJCAI 2020 Multichannel Color Image Denoising via Weighted Schatten P-Norm Minimization Xinjian Huang, Bo Du, Weiwei Liu

IJCAI 2020 Positive Unlabeled Learning with Class-Prior Approximation Shizhen Chang, Bo Du, Liangpei Zhang

AAAI 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari

AAAI 2020 Temporal Network Embedding with High-Order Nonlinear Information Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia

IJCAI 2020 TextFuseNet: Scene Text Detection with Richer Fused Features Jian Ye, Zhe Chen, Juhua Liu, Bo Du

IJCAI 2019 Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure Yipeng Zhang, Bo Du, Lefei Zhang, Rongchun Li, Yong Dou

IJCAI 2019 MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du

IJCAI 2019 Pseudo Supervised Matrix Factorization in Discriminative Subspace Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao

AAAI 2019 Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang

IJCAI 2018 Matrix Completion with Preference Ranking for Top-N Recommendation Zengmao Wang, Yuhong Guo, Bo Du

AAAI 2018 Nonlocal Patch Based T-SVD for Image Inpainting: Algorithm and Error Analysis Liangchen Song, Bo Du, Lefei Zhang, Liangpei Zhang, Jia Wu, Xuelong Li

IJCAI 2018 R-SVM+: Robust Learning with Privileged Information Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao

IJCAI 2017 Adaptive Manifold Regularized Matrix Factorization for Data Clustering Lefei Zhang, Qian Zhang, Bo Du, Jane You, Dacheng Tao

IJCAI 2017 On Gleaning Knowledge from Multiple Domains for Active Learning Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu, Dacheng Tao

AAAI 2017 Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You

ECCV 2016 Multi-Label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao