Jiangchao Yao
30
Papers
76
Total Citations
Papers (30)
ReMamber: Referring Image Segmentation with Mamba Twister
ECCV 2024
49
citations
On Harmonizing Implicit Subpopulations
ICLR 2024
8
citations
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
ICML 2025
6
citations
Multi-modal Medical Diagnosis via Large-small Model Collaboration
CVPR 2025
4
citations
Learning to Instruct for Visual Instruction Tuning
NeurIPS 2025arXiv
3
citations
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
ICCV 2025
2
citations
Fast and Accurate Blind Flexible Docking
ICLR 2025
1
citations
Long-tailed Recognition with Model Rebalancing
NeurIPS 2025
1
citations
4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
NeurIPS 2025arXiv
1
citations
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
ICML 2025
1
citations
Diversified Batch Selection for Training Acceleration
ICML 2024
0
citations
Federated Domain Generalization With Generalization Adjustment
CVPR 2023
0
citations
Class-Balancing Diffusion Models
CVPR 2023arXiv
0
citations
LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant
CVPR 2025
0
citations
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
NeurIPS 2025
0
citations
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
AAAI 2025
0
citations
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
AAAI 2025
0
citations
Low-Rank Knowledge Decomposition for Medical Foundation Models
CVPR 2024
0
citations
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
CVPR 2024
0
citations
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
ICML 2024
0
citations
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
ICML 2024
0
citations
Mitigating Label Noise on Graphs via Topological Sample Selection
ICML 2024
0
citations
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
ICML 2024
0
citations
Masking: A New Perspective of Noisy Supervision
NeurIPS 2018
0
citations
Combating Representation Learning Disparity with Geometric Harmonization
NeurIPS 2023
0
citations
Combating Bilateral Edge Noise for Robust Link Prediction
NeurIPS 2023
0
citations
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NeurIPS 2023
0
citations
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
NeurIPS 2023
0
citations
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
NeurIPS 2023
0
citations
How does Disagreement Help Generalization against Label Corruption?
ICML 2019
0
citations