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Academic Achievements
2023: Two co-authored papers on long-tailed open-world classification and long-tailed federated learning accepted by NeurIPS'23
2023: One paper accepted by DeCaF-MICCAI'23
2023: First-authored paper 'CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No' accepted by ICCV'23
2023: Co-authored paper 'Clip surgery for better explainability with enhancement in open-vocabulary tasks' released as preprint
2023: Co-authored paper 'Towards Distribution-Agnostic Generalized Category Discovery' accepted by NeurIPS 2023
2023: Co-authored paper 'Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification' accepted by DeCaF-MICCAI 2023
2023: Co-authored paper 'On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning' accepted by ICLR'23
2022: First-authored paper 'Towards Calibrated Hyper-sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning' accepted by ECCV'22 with oral presentation (2.7% acceptance rate)
2022: First-authored paper 'Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation' accepted by AAAI'22