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Bin Yang

79 papers · 2015–2026 · 16 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (15) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9)
🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (20) 👑 Triple Crown 🏆 Grand Slam 🌱 Topic Pioneer 🔬 Deep Specialist (13) 🧬 Topic Evolution 🗃️ Keyword Collector (268) 📈 Trend Setter Prolific Year (9) 🔥 Unstoppable (12) 🚀 Conference Pioneer 💎 Century Club (71)

Conferences

CVPR (18) AAAI (11) ICML (9) ECCV (8) ICCV (6) ICLR (6) WACV (5) IJCAI (4) NIPS (4) CORL (2) ACML (1) AISTATS (1) EMNLP (1) INTERSPEECH (1) MIDL (1) NSDI (1)

Papers

SVS-GAN for Semantic Synthesis of Traffic Videos for Autonomous Driving WACV 2026 Robust Pedestrian Detection with Uncertain Modality AAAI 2026 FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation WACV 2026 Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline AAAI 2026 DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation AAAI 2026 Domain-Aware Suppression and Aggregation for Federated DG ReID AAAI 2026 MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics AAAI 2026 UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution ICML 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations MIDL 2025 Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025 Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models CVPR 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 Non-asymptotic Error Bounds in $\mathcalW_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 $K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model ICML 2025 Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models ICML 2025 No More Sibling Rivalry: Debiasing Human-Object Interaction Detection ICCV 2025 Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings ICCV 2025 Part2Object: Hierarchical Unsupervised 3D Instance Segmentation ECCV 2024 Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction WACV 2024 Dependency-aware Differentiable Neural Architecture Search ECCV 2024 Empowering Visible-Infrared Person Re-Identification with Large Foundation Models NIPS 2024 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024 TULIP: Transformer for Upsampling of LiDAR Point Clouds CVPR 2024 Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification CVPR 2024 Towards Unsupervised Object Detection From LiDAR Point Clouds CVPR 2023 Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification ICCV 2023 FLAG3D: A 3D Fitness Activity Dataset With Language Instruction CVPR 2023 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023 NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging CVPR 2023 Visual Elements Mining as Prompts for Instruction Learning for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method ACML 2023 Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023 DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models NIPS 2023 Weighted Mutual Learning with Diversity-Driven Model Compression NIPS 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NIPS 2022 REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos AAAI 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022 MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption AISTATS 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 CMGAN: Conformer-based Metric GAN for Speech Enhancement INTERSPEECH 2022 Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021 Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning ICLR 2021 DSDNet: Deep Structured self-Driving Network ECCV 2020 RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects ECCV 2020 Learning Lane Graph Representations for Motion Forecasting ECCV 2020 Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction ECCV 2020 Recovering and Simulating Pedestrians in the Wild CORL 2020 V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction ECCV 2020 PnPNet: End-to-End Perception and Prediction With Tracking in the Loop CVPR 2020 LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World CVPR 2020 Physically Realizable Adversarial Examples for LiDAR Object Detection CVPR 2020 End-to-end I/O Monitoring on a Leading Supercomputer NSDI 2019 Learning Joint 2D-3D Representations for Depth Completion ICCV 2019 End-To-End Interpretable Neural Motion Planner CVPR 2019 Multi-Task Multi-Sensor Fusion for 3D Object Detection CVPR 2019 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles IJCAI 2019 Learning to Reweight Examples for Robust Deep Learning ICML 2018 PIXOR: Real-Time 3D Object Detection From Point Clouds CVPR 2018 Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net CVPR 2018 SBNet: Sparse Blocks Network for Fast Inference CVPR 2018 HDNET: Exploiting HD Maps for 3D Object Detection CORL 2018 Deep Continuous Fusion for Multi-Sensor 3D Object Detection ECCV 2018 TorontoCity: Seeing the World With a Million Eyes ICCV 2017 CRAFT Objects From Images CVPR 2016 Convolutional Channel Features ICCV 2015