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Bin Yang

84 papers · 2015–2026 · 16 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 21 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Bin Yang?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Chenjuan Guo, Yang Shu, Miao Zhang 26 papers · 2019–2026 · AAAI, ICLR, CVPR Hide ▲
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation 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 Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds CVPR 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting ICML 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 LightGTS: A Lightweight General Time Series Forecasting Model ICML 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 Dependency-aware Differentiable Neural Architecture Search ECCV 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 NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging CVPR 2023 Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NeurIPS 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 Weighted Mutual Learning with Diversity-Driven Model Compression NeurIPS 2022 Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles IJCAI 2019
15 papers whose co-authors appear nowhere else under this name
MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics AAAI 2026 SVS-GAN for Semantic Synthesis of Traffic Videos for Autonomous Driving WACV 2026 Similarity-Consistent Likelihood Diffusion enables Hidden Person Detection from Wall Reflections CVPR 2026 UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization AAAI 2026 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 Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models CVPR 2025 TULIP: Transformer for Upsampling of LiDAR Point Clouds CVPR 2024 Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method ACML 2023 FLAG3D: A 3D Fitness Activity Dataset With Language Instruction CVPR 2023 Visual Elements Mining as Prompts for Instruction Learning for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 CMGAN: Conformer-based Metric GAN for Speech Enhancement Interspeech 2022 Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning ICLR 2021 End-to-end I/O Monitoring on a Leading Supercomputer NSDI 2019

Venues · all papers under this name

CVPR (23) AAAI (11) ICML (9) ECCV (8) ICCV (6) ICLR (6) WACV (5) IJCAI (4) NeurIPS (4) CoRL (2) ACML (1) AISTATS (1) EMNLP (1) Interspeech (1) MIDL (1) NSDI (1)