Alleviating Data Imbalance Issue with Perturbed Input During Inference. - Kanghao Chen; Yifan Mao; Huijuan Lu; Chenghua Zeng; Ruixuan Wang; Wei-Shi Zheng 001 (MICCAI (5), 2021)

Expert with Outlier Exposure for Continual Learning of New Diseases. - Zhengjing Xu; Kanghao Chen; Wei-Shi Zheng 001; Zhijun Tan; Xiaobo Yang; Ruixuan Wang (BIBM, 2022)

Improving Class Balancing at Both Feature Extractor and Classifier Head. - Kanghao Chen; Huijuan Lu; Ruixuan Wang; Wei-Shi Zheng 001 (ICME, 2022)

Synthetic Minority with CutMix for Imbalanced Image Classification. - Chenghua Zeng; Huijuan Lu; Kanghao Chen; Ruixuan Wang; Jun Tao (IntelliSys (2), 2022)

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. - Kanghao Chen; Weixian Lei; Rong Zhang; Shen Zhao; Wei-Shi Zheng 001; Ruixuan Wang (CoRR, 2022)

Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification. - Chenghua Zeng; Huijuan Lu; Kanghao Chen; Ruixuan Wang; Wei-Shi Zheng 001 (CoRR, 2022)

Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. - Kanghao Chen; Sijia Liu; Ruixuan Wang; Weishi Zheng 001 (CoRR, 2023)

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. - Kanghao Chen; Weixian Lei; Shen Zhao; Wei-Shi Zheng 001; Ruixuan Wang (IEEE J. Biomed. Health Informatics, 2023)

Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach. - Guoqiang Liang 003; Kanghao Chen; Hangyu Li; Yunfan Lu; Lin Wang 025 (CVPR, 2024)

LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction. - Kanghao Chen; Hangyu Li; Jiazhou Zhou; Zeyu Wang 003; Lin Wang 025 (NeurIPS, 2024)

EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More. - Xu Zheng 002; Ling Wang; Kanghao Chen; Yuanhuiyi Lyu; Jiazhou Zhou; Lin Wang 025 (CoRR, 2024)

EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More. - Kanghao Chen; Guoqiang Liang 003; Hangyu Li; Yunfan Lu; Lin Wang 025 (CoRR, 2024)

Elite-EvGS: Learning Event-based 3D Gaussian Splatting by Distilling Event-to-Video Priors. - Zixin Zhang; Kanghao Chen; Lin Wang (CoRR, 2024)

Path-adaptive Spatio-Temporal State Space Model for Event-based Recognition with Arbitrary Duration. - Jiazhou Zhou; Kanghao Chen; Lei Zhang; Lin Wang (CoRR, 2024)

DiMeR: Disentangled Mesh Reconstruction Model. - Lutao Jiang; Jiantao Lin; Kanghao Chen; Wenhang Ge; Xin Yang 020; Yifan Jiang; Yuanhuiyi Lyu; Xu Zheng; Yingcong Chen (CoRR, 2025)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection. - Xinhua Lu; Runhe Lai; Yanqi Wu; Kanghao Chen; Wei-Shi Zheng 001; Ruixuan Wang (CoRR, 2025)

Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts. - Jiantao Tan; Peixian Ma; Kanghao Chen; Zhiming Dai; Ruixuan Wang (CoRR, 2025)

ExFMan: Rendering 3D Dynamic Humans With Hybrid Monocular Blurry Frames and Events. - Kanghao Chen; Zeyu Wang 003; Lin Wang 025 (IEEE Robotics Autom. Lett., 2025)