← Authors

Jiangchao Yao

48 papers · 2018–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (76) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🀝 Dynamic Duo (26) πŸ‘‘ Triple Crown πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (144) ⚑ Prolific Year (17) ❓ The Questioner (2) πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (5)

Conferences

ICML (13) ICLR (9) NIPS (9) AAAI (6) CVPR (6) IJCAI (2) ECCV (1) ICCV (1) MICCAI (1)

Top co-authors

Ya Zhang (26) Bo Han (24) Yanfeng Wang (20) Tongliang Liu (8) Jianing Zhu (6) Feng Hong (6) Gang Niu (5) Zhanke Zhou (5) Zihua Zhao (5) Quanming Yao (4)

Keywords

representation learning (5) self-supervised learning (4) out-of-distribution detection (3) long-tailed distribution (3) multimodal learning (3) federated learning (3) contrastive learning (3) graph neural network (3) vision-language model (2) distribution shift (2) generative model (2) collaborative learning (2) domain generalization (2) noisy label (2) deep learning (2) noisy label learning (2) class imbalance (2) weakly supervised learning (2) knowledge distillation (2) link prediction (2)

Papers

Multi-modal Medical Diagnosis via Large-small Model Collaboration CVPR 2025
LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant CVPR 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance AAAI 2025
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ICML 2025
Fast and Accurate Blind Flexible Docking ICLR 2025
Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition IJCAI 2025
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? ICML 2025
MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition ICML 2025
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning ICCV 2025
Reprogramming Distillation for Medical Foundation Models MICCAI 2024
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NIPS 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NIPS 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning CVPR 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models CVPR 2024
ReMamber: Referring Image Segmentation with Mamba Twister ECCV 2024
On Harmonizing Implicit Subpopulations ICLR 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel ICLR 2024
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs ICLR 2024
Long-tailed Diffusion Models with Oriented Calibration ICLR 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts ICLR 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization ICML 2024
Diversified Batch Selection for Training Acceleration ICML 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning ICML 2024
Mitigating Label Noise on Graphs via Topological Sample Selection ICML 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters ICML 2024
Combating Bilateral Edge Noise for Robust Link Prediction NIPS 2023
Combating Representation Learning Disparity with Geometric Harmonization NIPS 2023
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension AAAI 2023
Federated Domain Generalization With Generalization Adjustment CVPR 2023
Class-Balancing Diffusion Models CVPR 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery ICML 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability ICML 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NIPS 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing ICLR 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NIPS 2023
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation NIPS 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation ICML 2023
Contrastive Learning with Boosted Memorization ICML 2022
Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022
Learning with Group Noise AAAI 2021
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Understanding VAEs in Fisher-Shannon Plane AAAI 2019
How does Disagreement Help Generalization against Label Corruption? ICML 2019
Collaborative Learning for Weakly Supervised Object Detection IJCAI 2018
Masking: A New Perspective of Noisy Supervision NIPS 2018