Yang, Bin

87 publications

ICLR 2026 ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting Jindong Tian, Yifei Ding, Ronghui Xu, Hao Miao, Chenjuan Guo, Bin Yang

ICLR 2026 ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu

ICLR 2026 Aurora: Towards Universal Generative Multimodal Time Series Forecasting Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo

ICLR 2026 CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting Through Correlation-Aware Adapter Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

ICLR 2026 GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang

ICLR 2026 PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and Routing Jindong Li, Lianrong Chen, Bin Yang, Jiadong Zhu, Ying Wang, Yuzhe Ma, Menglin Yang

ICLR 2026 SwiftTS: A Swift Selection Framework for Time Series Pre-Trained Models via Multi-Task Meta-Learning Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang

ICLR 2026 Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction Shiyan Hu, Jianxin Jin, Yang Shu, Peng Chen, Bin Yang, Chenjuan Guo

ICLR 2026 Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Chenjuan Guo, Bin Yang, Yang Shu

ICML 2025 $K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo

ICLR 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

IJCAI 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye

AAAI 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang

MIDL 2025 Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-Ray Populations Louisa Fay, Jean-Benoit Delbrouck, Thomas Küstner, Bin Yang, Noel C Codella, Matthew P. Lungren, Curtis Langlotz, Sergios Gatidis

ICLR 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang

NeurIPS 2025 CrossAD: Time Series Anomaly Detection with Cross-Scale Associations and Cross-Window Modeling Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo

NeurIPS 2025 DBLoss: Decomposition-Based Loss Function for Time Series Forecasting Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang

CVPR 2025 Enhancing Diversity for Data-Free Quantization Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang

NeurIPS 2025 Enhancing Time Series Forecasting Through Selective Representation Spaces: A Patch Perspective Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang

ICML 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye

ICLR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang

NeurIPS 2025 Learning to Factorize Spatio-Temporal Foundation Models Siru Zhong, Junjie Qiu, Yangyu Wu, Xingchen Zou, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang

ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

WACV 2025 Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation Using a Gaussian Mixture Model Pascal Schlachter, Simon Wagner, Bin Yang

ICCV 2025 No More Sibling Rivalry: Debiasing Human-Object Interaction Detection Bin Yang, Yulin Zhang, Hong-Yu Zhou, Sibei Yang

ICML 2025 Non-Asymptotic Error Bounds in $\mathcal{W_2}$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo Beyond Log-Concavity Bin Yang, Xiaojie Wang

CVPR 2025 Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models Jingfeng Yao, Bin Yang, Xinggang Wang

NeurIPS 2025 Rethinking Fair Federated Learning from Parameter and Client View Kaiqi Guan, Wenke Huang, Xianda Guo, Yueyang Yuan, Bin Yang, Mang Ye

ICML 2025 SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution Wenwen He, Wenke Huang, Bin Yang, Shukan Liu, Mang Ye

ICML 2025 Splitting with Importance-Aware Updating for Heterogeneous Federated Learning with Large Language Models Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye

AAAI 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification Xiao Wang, Lekai Liu, Bin Yang, Mang Ye, Zheng Wang, Xin Xu

ICLR 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

NeurIPS 2025 Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification Zhongao Zhou, Bin Yang, Wenke Huang, Jun Chen, Mang Ye

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

ECML-PKDD 2024 A Crystal Knowledge-Enhanced Pre-Training Framework for Crystal Property Estimation Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen

ECCVW 2024 A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models Mario Döbler, Robert A. Marsden, Tobias Raichle, Bin Yang

ECCV 2024 Dependency-Aware Differentiable Neural Architecture Search Buang Zhang, Xinle Wu, Hao Miao, Bin Yang, Chenjuan Guo

NeurIPS 2024 Empowering Visible-Infrared Person Re-Identification with Large Foundation Models Zhangyi Hu, Bin Yang, Mang Ye

ECCV 2024 Part2Object: Hierarchical Unsupervised 3D Instance Segmentation Cheng Shi, Yulin Zhang, Bin Yang, Jiajin Tang, Yuexin Ma, Sibei Yang

ICLR 2024 Pathformer: Multi-Scale Transformers with Adaptive Pathways for Time Series Forecasting Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

ICML 2024 Position: What Can Large Language Models Tell Us About Time Series Analysis Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

ECCVW 2024 Robust Fine-Tuning and Adaptation of Zero-Shot Models via Adaptive Weight-Space Ensembling Mario Döbler, Michael Feil, Robert A. Marsden, Bin Yang

CVPR 2024 Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification Bin Yang, Jun Chen, Mang Ye

CVPR 2024 TULIP: Transformer for Upsampling of LiDAR Point Clouds Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

CVPRW 2024 Uncertainty-Based Forgetting Mitigation for Generalized Few-Shot Object Detection Karim Guirguis, George Eskandar, Mingyang Wang, Matthias Kayser, Eduardo Monari, Bin Yang, Jürgen Beyerer

WACV 2024 Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction Robert A. Marsden, Mario Döbler, Bin Yang

NeurIPS 2023 DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang

ACML 2023 Enhancing Model Generalization of Cervical Fluid-Based Cell Detection Through Causal Feature Extraction:A Novel Method Qiao Pan, Bin Yang, Dehua Chen, Mei Wang

CVPR 2023 FLAG3D: A 3D Fitness Activity Dataset with Language Instruction Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li

CVPR 2023 NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging Karim Guirguis, Johannes Meier, George Eskandar, Matthias Kayser, Bin Yang, Jürgen Beyerer

CVPR 2023 Robust Mean Teacher for Continual and Gradual Test-Time Adaptation Mario Döbler, Robert A. Marsden, Bin Yang

WACV 2023 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors Karim Guirguis, Mohamed Abdelsamad, George Eskandar, Ahmed Hendawy, Matthias Kayser, Bin Yang, Jürgen Beyerer

ICCV 2023 Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification Bin Yang, Jun Chen, Mang Ye

CVPR 2023 Towards Unsupervised Object Detection from LiDAR Point Clouds Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun

AISTATS 2022 MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang

CVPR 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang

AAAI 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems Frederik Baymler Mathiesen, Bin Yang, Jilin Hu

NeurIPS 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations Miao Zhang, Wei Huang, Bin Yang

AAAI 2022 REMOTE: Reinforced Motion Transformation Network for Semi-Supervised 2D Pose Estimation in Videos Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu

IJCAI 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan

NeurIPS 2022 Weighted Mutual Learning with Diversity-Driven Model Compression Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang

ICLR 2021 Multi-Class Uncertainty Calibration via Mutual Information Maximization-Based Binning Kanil Patel, William H. Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang

IJCAI 2021 Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang

ECCV 2020 DSDNet: Deep Structured Self-Driving Network Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun

ECCV 2020 Learning Lane Graph Representations for Motion Forecasting Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

CVPR 2020 LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

CVPR 2020 Physically Realizable Adversarial Examples for LiDAR Object Detection James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun

CVPR 2020 PnPNet: End-to-End Perception and Prediction with Tracking in the Loop Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun

ECCV 2020 RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

CoRL 2020 Recovering and Simulating Pedestrians in the Wild Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

ECCV 2020 Testing the Safety of Self-Driving Vehicles by Simulating Perception and Prediction Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

ECCV 2020 V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun

CVPR 2019 End-to-End Interpretable Neural Motion Planner Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun

ICCV 2019 Learning Joint 2D-3D Representations for Depth Completion Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun

CVPR 2019 Multi-Task Multi-Sensor Fusion for 3D Object Detection Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

IJCAI 2019 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen

ECCV 2018 Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun

CVPR 2018 Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net Wenjie Luo, Bin Yang, Raquel Urtasun

CoRL 2018 HDNET: Exploiting HD Maps for 3D Object Detection Bin Yang, Ming Liang, Raquel Urtasun

ICML 2018 Learning to Reweight Examples for Robust Deep Learning Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun

CVPR 2018 PIXOR: Real-Time 3D Object Detection from Point Clouds Bin Yang, Wenjie Luo, Raquel Urtasun

CVPR 2018 SBNet: Sparse Blocks Network for Fast Inference Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun

ICCV 2017 TorontoCity: Seeing the World with a Million Eyes Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun

CVPR 2016 CRAFT Objects from Images Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li

ECCV 2016 Gated Bi-Directional CNN for Object Detection Xingyu Zeng, Wanli Ouyang, Bin Yang, Junjie Yan, Xiaogang Wang

ICCV 2015 Convolutional Channel Features Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li