Kanghao Chen

According to our database, Kanghao Chen authored at least 32 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Panoramic Affordance Prediction.

Zixin Zhang, Chenfei Liao, Hongfei Zhang, Harold Haodong Chen, Kanghao Chen, Zichen Wen, Litao Guo, Bin Ren, Xu Zheng, Yinchuan Li, Xuming Hu, Nicu Sebe, Ying-Cong Chen

CoRR, March, 2026

DVD: Deterministic Video Depth Estimation with Generative Priors.

Hongfei Zhang, Harold Haodong Chen, Chenfei Liao, Jing He, Zixin Zhang, Haodong Li, Yihao Liang, Kanghao Chen, Bin Ren, Xu Zheng, Shuai Yang, Kun Zhou, Yinchuan Li, Nicu Sebe, Ying-Cong Chen

CoRR, March, 2026

EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation.

Yinrui Ren, Jinjing Zhu, Kanghao Chen, Zhuoxiao Li, Jing Ou, Zidong Cao, Tongyan Hua, Peilun Shi, Yingchun Fu, Wufan Zhao, Hui Xiong

CoRR, March, 2026

EvLight++: Low-Light Video Enhancement With an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More.

Kanghao Chen, Guoqiang Liang, Yunfan Lu, Hangyu Li, Lin Wang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

Dual-modality adaptation in vision-language models for continual learning.

Jiayang Zeng, Wentao Zhang, Kanghao Chen, Jiantao Tan, Tong Yu, Wei-Shi Zheng, Ruixuan Wang

Neural Networks, 2026

T-Rex-Omni: Integrating Negative Visual Prompt in Generic Object Detection.

Jiazhou Zhou, Qing Jiang, Kanghao Chen, Lutao Jiang, Yuanhuiyi Lyu, Ying-Cong Chen, Lei Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EvDiff3D: Event-Aware Diffusion Repair for High-Fidelity Event-Based 3D Reconstruction.

Kanghao Chen, Zixin Zhang, Hangyu Li, Lin Wang, Zeyu Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Dynamic competition in the digital darwinism: focal firms responding to competitors' digital transformation.

Kanghao Chen, Zongqiang Ren, Zhangchun Chen

Technol. Anal. Strateg. Manag., December, 2025

A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning.

Zixin Zhang, Kanghao Chen, Hanqing Wang, Hongfei Zhang, Harold Haodong Chen, Chenfei Liao, Litao Guo, Ying-Cong Chen

CoRR, December, 2025

DualCamCtrl: Dual-Branch Diffusion Model for Geometry-Aware Camera-Controlled Video Generation.

Hongfei Zhang, Kanghao Chen, Zixin Zhang, Harold Haodong Chen, Yuanhuiyi Lyu, Yuqi Zhang, Shuai Yang, Kun Zhou, Yingcong Chen

CoRR, November, 2025

TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models.

Harold Haodong Chen, Disen Lan, Wen-Jie Shu, Qingyang Liu, Zihan Wang, Sirui Chen, Wenkai Cheng, Kanghao Chen, Hongfei Zhang, Zixin Zhang, Rongjin Guo, Yu Cheng, Ying-Cong Chen

CoRR, November, 2025

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs.

Zixin Zhang, Kanghao Chen, Xingwang Lin, Lutao Jiang, Xu Zheng, Yuanhuiyi Lyu, Litao Guo, Yinchuan Li, Ying-Cong Chen

CoRR, October, 2025

ExFMan: Rendering 3D Dynamic Humans With Hybrid Monocular Blurry Frames and Events.

Kanghao Chen, Zeyu Wang, Lin Wang

IEEE Robotics Autom. Lett., August, 2025

DiMeR: Disentangled Mesh Reconstruction Model.

Lutao Jiang, Jiantao Lin, Kanghao Chen, Wenhang Ge, Xin Yang, Yifan Jiang, Yuanhuiyi Lyu, Xu Zheng, Yingcong Chen

CoRR, April, 2025

PASS: Path-selective State Space Model for Event-based Recognition.

Jiazhou Zhou, Kanghao Chen, Lei Zhang, Lin Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline.

Kanghao Chen, Zixin Zhang, Guoqiang Liang, Lutao Jiang, Zeyu Wang, Yingcong Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection.

Runhe Lai, Xinhua Lu, Kanghao Chen, Qichao Chen, Wei-Shi Zheng, Ruixuan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Elite-EvGS: Learning Event-based 3D Gaussian Splatting by Distilling Event-to-Video Priors.

Zixin Zhang, Kanghao Chen, Lin Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 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, Ruixuan Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts.

Jiantao Tan, Peixian Ma, Zhiming Dai, Kanghao Chen, Ruixuan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

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

EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More.

Xu Zheng, Ling Wang, Kanghao Chen, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang

CoRR, 2024

LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction.

Kanghao Chen, Hangyu Li, Jiazhou Zhou, Zeyu Wang, Lin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach.

Guoqiang Liang, Kanghao Chen, Hangyu Li, Yunfan Lu, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.

Kanghao Chen, Weixian Lei, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang

IEEE J. Biomed. Health Informatics, April, 2023

Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning.

Kanghao Chen, Sijia Liu, Ruixuan Wang, Weishi Zheng

CoRR, 2023

2022

Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification.

Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Wei-Shi Zheng

CoRR, 2022

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.

Kanghao Chen, Weixian Lei, Rong Zhang, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang

CoRR, 2022

Synthetic Minority with CutMix for Imbalanced Image Classification.

Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Jun Tao

Proceedings of the Intelligent Systems and Applications, 2022

Improving Class Balancing at Both Feature Extractor and Classifier Head.

Kanghao Chen, Huijuan Lu, Ruixuan Wang, Wei-Shi Zheng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Expert with Outlier Exposure for Continual Learning of New Diseases.

Zhengjing Xu, Kanghao Chen, Wei-Shi Zheng, Zhijun Tan, Xiaobo Yang, Ruixuan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Alleviating Data Imbalance Issue with Perturbed Input During Inference.

Kanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, Wei-Shi Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021