Jike Zhong

20 papers A* 3Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
VRIQ: Benchmarking and Analyzing Visual-Reasoning IQ of VLMs.
CoRR
Tina Khezresmaeilzadeh, Jike Zhong, Konstantinos Psounis
2025 J jnl
Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?
CoRR
Yuxiang Lai, Jike Zhong, Ming Li, Yuheng Li, Xiaofeng Yang
2025 J jnl
Context Matters: Learning Global Semantics via Object-Centric Representation.
CoRR
Jike Zhong, Yuxiang Lai, Xiaofeng Yang, Konstantinos Psounis
2025 A* conf
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.
CVPR
Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis
2025 J jnl
EchoVLM: Measurement-Grounded Multimodal Learning for Echocardiography.
CoRR
Yuheng Li, Yue Zhang, Abdoul Aziz Amadou, Yuxiang Lai, Jike Zhong, Tiziano Passerini, Dorin Comaniciu, Puneet Sharma
2025 J jnl
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models.
CoRR
Yuxiang Lai, Jike Zhong, Ming Li, Shitian Zhao, Xiaofeng Yang
2025 J jnl
MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting.
CoRR
Yuheng Li, Yenho Chen, Yuxiang Lai, Jike Zhong, Vanessa Wildman, Xiaofeng Yang
2025 J jnl
Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy.
CoRR
Yuxiang Lai, Jike Zhong, Vanessa Su, Xiaofeng Yang
2025 — conf
Sequential Organ Motion Prediction via Autoregressive Modeling.
AMAI@MICCAI
Yuxiang Lai, Jike Zhong, Vanessa Su, Xiaofeng Yang
2025 J jnl
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning.
CoRR
Ming Li, Jike Zhong, Shitian Zhao, Haoquan Zhang, Shaoheng Lin, Yuxiang Lai, Chen Wei, Konstantinos Psounis, Kaipeng Zhang
2025 J jnl
Think or Not Think: A Study of Explicit Thinking inRule-Based Visual Reinforcement Fine-Tuning.
CoRR
Ming Li, Jike Zhong, Shitian Zhao, Yuxiang Lai, Kaipeng Zhang
2024 J jnl
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.
CoRR
Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis
2024 A* conf
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification.
EMNLP
Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama
2024 J jnl
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification.
CoRR
Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama
2023 J jnl
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.
CoRR
Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang
2023 A* conf
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
NeurIPS
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
2023 J jnl
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
CoRR
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
2023 J jnl
Making Batch Normalization Great in Federated Deep Learning.
CoRR
Jike Zhong, Hong-You Chen, Wei-Lun Chao
2022 — conf
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
ECCV (10)
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
2022 J jnl
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
CoRR
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao