Bin Yang
79 papers · 2015–2026 · 16 conferences · across top CS/AI conferences
Achievements
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🏃 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)
Top co-authors
Keywords
unsupervised learning
(7)
point cloud
(6)
autonomous driving
(6)
object detection
(6)
domain adaptation
(5)
person re-identification
(5)
3d object detection
(4)
convolutional neural network
(4)
contrastive learning
(4)
semantic segmentation
(3)
self-supervised learning
(3)
lidar point cloud
(3)
transfer learning
(3)
neural network
(3)
test-time adaptation
(3)
domain generalization
(3)
domain shift
(3)
attention mechanism
(2)
knowledge distillation
(2)
catastrophic forgetting
(2)
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