Jike Zhong

According to our database, Jike Zhong authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning.

Ming Li, Jike Zhong, Shitian Zhao, Haoquan Zhang, Shaoheng Lin, Yuxiang Lai, Chen Wei, Konstantinos Psounis, Kaipeng Zhang

CoRR, November, 2025

Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?

Yuxiang Lai, Jike Zhong, Ming Li, Yuheng Li, Xiaofeng Yang

CoRR, October, 2025

Context Matters: Learning Global Semantics via Object-Centric Representation.

Jike Zhong, Yuxiang Lai, Xiaofeng Yang, Konstantinos Psounis

CoRR, October, 2025

MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting.

Yuheng Li, Yenho Chen, Yuxiang Lai, Jike Zhong, Vanessa Wildman, Xiaofeng Yang

CoRR, September, 2025

Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy.

Yuxiang Lai, Jike Zhong, Vanessa Su, Xiaofeng Yang

CoRR, May, 2025

Think or Not Think: A Study of Explicit Thinking inRule-Based Visual Reinforcement Fine-Tuning.

Ming Li, Jike Zhong, Shitian Zhao, Yuxiang Lai, Kaipeng Zhang

CoRR, March, 2025

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models.

Yuxiang Lai, Jike Zhong, Ming Li, Shitian Zhao, Xiaofeng Yang

CoRR, March, 2025

EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.

Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification.

Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.

Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang

CoRR, 2023

Making Batch Normalization Great in Federated Deep Learning.

Jike Zhong, Hong-You Chen, Wei-Lun Chao

CoRR, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.

Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning with Free Object Segments for Long-Tailed Instance Segmentation.

Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao

Proceedings of the Computer Vision - ECCV 2022, 2022