Jiang, Bo

55 publications

ICML 2025 Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang

ICML 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning Kunda Yan, Min Zhang, Sen Cui, Qu Zikun, Bo Jiang, Feng Liu, Changshui Zhang

CVPR 2025 CXPMRG-Bench: Pre-Training and Benchmarking for X-Ray Medical Report Generation on CheXpert Plus Dataset Xiao Wang, Fuling Wang, Yuehang Li, Qingchuan Ma, Shiao Wang, Bo Jiang, Jin Tang

NeurIPS 2025 CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding Qin Xu, Qihang Wu, Lu Hongtao, Xiaoxia Cheng, Bo Jiang

CVPR 2025 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Bencheng Liao, Shaoyu Chen, Haoran Yin, Bo Jiang, Cheng Wang, Sixu Yan, Xinbang Zhang, Xiangyu Li, Ying Zhang, Qian Zhang, Xinggang Wang

CVPR 2025 GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving Zebin Xing, Xingyu Zhang, Yang Hu, Bo Jiang, Tong He, Qian Zhang, Xiaoxiao Long, Wei Yin

ICML 2025 Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li

AAAI 2025 LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data Shaocong Xu, Pengfei Li, Qianpu Sun, Xinyu Liu, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Li Jiang, Hao Zhao, Yilun Chen

CVPR 2025 Object Detection Using Event Camera: A MoE Heat Conduction Based Detector and a New Benchmark Dataset Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian

ICLRW 2025 On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Bo Jiang, Ruoyu Sun, Zhuotao Liu, Shiyu Liang

NeurIPS 2025 RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-Based Reinforcement Learning Hao Gao, Shaoyu Chen, Bo Jiang, Bencheng Liao, Yiang Shi, Xiaoyang Guo, Yuechuan Pu, Haoran Yin, Xiangyu Li, Xinbang Zhang, Ying Zhang, Wenyu Liu, Qian Zhang, Xinggang Wang

ICLR 2025 TODO: Enhancing LLM Alignment with Ternary Preferences Yuxiang Guo, Lu Yin, Bo Jiang, Jiaqi Zhang

AISTATS 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers Ruofeng Yang, Bo Jiang, Shuai Li

IJCAI 2025 TreeKV: Smooth Key-Value Cache Compression with Tree Structures Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang

NeurIPS 2025 UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification Xixi Wan, Aihua Zheng, Bo Jiang, Beibei Wang, Chenglong Li, Jin Tang

NeurIPS 2024 AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking Shiqi Sun, Yantao Lu, Ning Liu, Bo Jiang, Jinchao Chen, Ying Zhang

NeurIPS 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo

ICMLW 2024 Enhancing the Resilience of LLMs Against Grey-Box Extractions Hanbo Huang, Yihan Li, Bowen Jiang, Bo Jiang, Lin Liu, Zhuotao Liu, Ruoyu Sun, Shiyu Liang

CVPR 2024 Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and a Novel Baseline Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang

NeurIPS 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li

AAAI 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian

IJCAI 2024 Implicit Prompt Learning for Image Denoising Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang

ICML 2024 In-Context Learning on Function Classes Unveiled for Transformers Zhijie Wang, Bo Jiang, Shuai Li

ECCV 2024 Lane Graph as Path: Continuity-Preserving Path-Wise Modeling for Online Lane Graph Construction Bencheng Liao, Shaoyu Chen, Bo Jiang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang

NeurIPS 2024 Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li

IJCAI 2024 QFormer: An Efficient Quaternion Transformer for Image Denoising Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang

ICML 2024 Riemannian Accelerated Zeroth-Order Algorithm: Improved Robustness and Lower Query Complexity Chang He, Zhaoye Pan, Xiao Wang, Bo Jiang

NeurIPSW 2024 Synchronizing Verbal Responses and Board Writing for Multimodal Math Instruction with LLMs Yuan-Hao Jiang, Ruijia Li, Yuang Wei, Rui Jia, Xiaobao Shao, Hanglei Hu, Bo Jiang

JMLR 2024 Volterra Neural Networks (VNNs) Siddharth Roheda, Hamid Krim, Bo Jiang

NeurIPS 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance Bo Jiang, Ya-Feng Liu

ICML 2023 Online Restless Bandits with Unobserved States Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou

IJCAI 2023 Prediction with Incomplete Data Under Agnostic Mask Distribution Shift Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

AAAI 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li

ICCV 2023 VAD: Vectorized Scene Representation for Efficient Autonomous Driving Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang

JMLR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang

CVPR 2022 Few Could Be Better than All: Feature Sampling and Grouping for Scene Text Detection Jingqun Tang, Wenqing Zhang, Hongye Liu, MingKun Yang, Bo Jiang, Guanglong Hu, Xiang Bai

ICCV 2021 Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang

CVPR 2021 Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu

ICCVW 2021 Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs Jin Wang, Bo Jiang

ECCVW 2020 EEDNet: Enhanced Encoder-Decoder Network for AutoISP Yu Zhu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li, Cong Leng, Bo Jiang, Yifan Zhang, Jian Cheng

AAAI 2020 Generative Attention Networks for Multi-Agent Behavioral Modeling Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu

COLT 2019 An Optimal High-Order Tensor Method for Convex Optimization Bo Jiang, Haoyue Wang, Shuzhong Zhang

ICCVW 2019 DBUS: Human Driving Behavior Understanding System Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu

AAAI 2019 DSINE: Deep Structural Influence Learning via Network Embedding Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan

ICLR 2019 MisGAN: Learning from Incomplete Data with Generative Adversarial Networks Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin

COLT 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-Th Derivatives Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

ICML 2018 Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series Zhengping Che, Sanjay Purushotham, Guangyu Li, Bo Jiang, Yan Liu

CVPR 2017 Binary Constraint Preserving Graph Matching Bo Jiang, Jin Tang, Chris Ding, Bin Luo

NeurIPS 2017 Graph Matching via Multiplicative Update Algorithm Bo Jiang, Jin Tang, Chris Ding, Yihong Gong, Bin Luo

AAAI 2017 Nonnegative Orthogonal Graph Matching Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

IJCAI 2016 Robust Out-of-Sample Data Recovery Bo Jiang, Chris H. Q. Ding, Bin Luo

AAAI 2015 A Local Sparse Model for Matching Problem Bo Jiang, Jin Tang, Chris H. Q. Ding, Bin Luo

ECML-PKDD 2014 Covariate-Correlated Lasso for Feature Selection Bo Jiang, Chris H. Q. Ding, Bin Luo

CVPR 2013 Graph-Laplacian PCA: Closed-Form Solution and Robustness Bo Jiang, Chris Ding, Bio Luo, Jin Tang

JMLR 2008 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers Bo Jiang, Xuegong Zhang, Tianxi Cai