Hi, I’m Jiahao Chen, a 3nd year PhD student at Renmin University of China. I got my bachelor degree and master degree in Harbin Institute of Technology. My research interests are focused on Long-tailed learning, Representation Learning, and their application.

Publications

• Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su. Rethinking the Bias of Foundation Model under Long-tailed Distribution (ICML), 2025, paper
• Zhao Yang, Bing Su, Jiahao Chen, Ji-Rong Wen. Interpretable Enzyme Function Prediction via Residue-Level Detection, (ICLR workshop), paper
• Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su. DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training (ICLR), 2025, paper
• Jiahao Chen, Bing Su. Instance-specific Semantic Augmentation for Long-tailed Image Classification (IEEE Transactions on Image Processing), 2024, paper
• Jiexin Wang, Jiahao Chen, Bing Su. Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration (ICASSP), 2024, paper
• Jiahao Chen, Bing Su. Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution (CVPR), 2023, paper
• Jiexin Wang, Jiahao Chen, Bing Su. Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression (ICASSP), 2023, paper
• Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Ji-Rong Wen. Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning, Arxiv paper

Service

• CVPR 2024, 2025 Reviewer
• Neurips 2024, Reviewer
• ICLR 2025, Reviewer
• ICML 2025, Reviewer
• ICCV 2025, Reviewer