Yiming Shi

According to our database, Yiming Shi authored at least 33 papers between 2019 and 2026.

Collaborative distances:

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

2026

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification.

Xun Zhu, Fanbin Mo, Xi Chen, Kaili Zheng, Shaoshuai Yang, Yiming Shi, Jian Gao, Miao Li, Ji Wu

CoRR, April, 2026

BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in Boxing.

Kaiwen Wang, Kaili Zheng, Rongrong Deng, Yiming Shi, Chenyi Guo, Ji Wu

CoRR, April, 2026

An FD-SOI-Based Compact In-Pixel Computing Architecture Enabling Real-Time Feature Extraction.

Yijiao Wang, Jiayao Wu, Yaqi Wang, Zhongzhen Tong, Xinrui Duan, Yiming Shi, Wen Shi, Weisheng Zhao

IEEE Trans. Circuits Syst. I Regul. Pap., February, 2026

Any-to-All MRI Synthesis: A Unified Foundation Model for Nasopharyngeal Carcinoma and Its Downstream Applications.

Yao Pu, Yiming Shi, Zhenxi Zhang, Peixin Yu, Yitao Zhuang, Xiang Wang, Hongzhao Chen, Jing Cai, Ge Ren

CoRR, February, 2026

Survey of malware classification Models for Multi-source data.

Lu Hou, Chao Li, Ruliang Lin, Xintong Lin, Mengyu Xia, Yiming Shi

Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2025

Towards Metric-Aware Multi-Person Mesh Recovery by Jointly Optimizing Human Crowd in Camera Space.

Kaiwen Wang, Kaili Zheng, Yiming Shi, Chenyi Guo, Ji Wu

CoRR, November, 2025

Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection.

Hong Liu, Xiuxiu Qiu, Yiming Shi, Miao Xu, Zelin Zang, Zhen Lei

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Diffusion Models as Dataset Distillation Priors.

Duo Su, Huyu Wu, Huanran Chen, Yiming Shi, Yuzhu Wang, Xi Ye, Jun Zhu

CoRR, October, 2025

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang

CoRR, July, 2025

MedM-VL: What Makes a Good Medical LVLM?

Yiming Shi, Shaoshuai Yang, Xun Zhu, Haoyu Wang, Miao Li, Ji Wu

CoRR, April, 2025

SPEVS-CC: Separated parameter estimation with variable selection based on canonical correlation analysis for multivariate functional regression.

Xing Yang, Haijie Xu, Yiming Shi, Chen Zhang

Adv. Eng. Informatics, 2025

Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data.

Xun Zhu, Fanbin Mo, Zheng Zhang, Jiaxi Wang, Yiming Shi, Ming Wu, Chuang Zhang, Miao Li, Ji Wu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MedM-VL: What Makes a Good Medical LVLM?

Yiming Shi, Shaoshuai Yang, Xun Zhu, Haoyu Wang, Xiangling Fu, Miao Li, Ji Wu

Proceedings of the AI for Clinical Applications - First International Workshops, 2025

Machine Vision Quality Assessment for Image Restoration.

Yiming Shi, Xiongkuo Min, Yixuan Gao, Guangtao Zhai

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Connector-S: A Survey of Connectors in Multi-modal Large Language Models.

Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li, Ji Wu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series.

Hong Liu, Xiuxiu Qiu, Yiming Shi, Zelin Zang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

3D-HSPA: Integrating 3D Spatial Information with Hierarchical Slice-Patch Attention for Knee MRI Analysis.

Jingzhi Yang, Yiming Shi, Xun Zhu, Ziyu Liu, Ji Wu, Ming Ni, Huishu Yuan, Miao Li, Xiangling Fu

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

Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model.

Yiming Shi, Xun Zhu, Kaiwen Wang, Ying Hu, Chenyi Guo, Miao Li, Ji Wu

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

2024

Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model.

Yiming Shi, Xun Zhu, Ying Hu, Chenyi Guo, Miao Li, Ji Wu

CoRR, 2024

LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning.

Yiming Shi, Jiwei Wei, Yujia Wu, Ran Ran, Chengwei Sun, Shiyuan He, Yang Yang

CoRR, 2024

SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values.

Chengwei Sun, Jiwei Wei, Yujia Wu, Yiming Shi, Shiyuan He, Zeyu Ma, Ning Xie, Yang Yang

CoRR, 2024

Rhyme-aware Chinese lyric generator based on GPT.

Yixiao Yuan, Yangchen Huang, Yu Ma, Xinjin Li, Zhenglin Li, Yiming Shi, Huapeng Zhou

CoRR, 2024

DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusion.

Yujia Wu, Yiming Shi, Jiwei Wei, Chengwei Sun, Yuyang Zhou, Yang Yang, Heng Tao Shen

CoRR, 2024

TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models.

Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu

CoRR, 2024

Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis.

Hongjian Yu, Yiming Shi, Zherui Zhou, Christopher Haberland

Proceedings of the Ninth Conference on Machine Translation, 2024

2023

Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study.

Wen Li, Yiming Shi, Saikit Lam, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Tian Li, Shaohua Zhi, Bernie Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

Physical Layer Identity Information Protection against Malicious Millimeter Wave Sensing.

Zhen Meng, Yiming Shi, Yumeng Liang, Xinzhe Wen, Anfu Zhou, Huadong Ma, Hairong Qian

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Analyzing Multi-player Equalizer Strategy in Iterated Threshold Public Goods Game.

Yuelin Lyu, Yiming Shi, Zhihai Rong

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Chat Disentanglement: Data for New Domains and Methods for More Accurate Annotation.

Sai R. Gouravajhala, Andrew M. Vernier, Yiming Shi, Zihan Li, Mark S. Ackerman, Jonathan K. Kummerfeld

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022

Analysis of Q-Learning Like Algorithms Through Evolutionary Game Dynamics.

Yiming Shi, Zhihai Rong

IEEE Trans. Circuits Syst. II Express Briefs, 2022

2021

Fine-Grained Intra-domain Bandwidth Allocation Against DDoS Attack.

Lijia Xie, Shuang Zhao, Xiao Zhang, Yiming Shi, Xin Xiao, Zhiming Zheng

Proceedings of the Security and Privacy in Communication Networks, 2021

2020

Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption.

Dongzhu Xu, Anfu Zhou, Xinyu Zhang, Guixian Wang, Xi Liu, Congkai An, Yiming Shi, Liang Liu, Huadong Ma

Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

2019

Symbolic Similarity of Traffic Signals Based on Human Visual Perception.

Yaping Huang, Haiyan Wang, Chengqi Xue, Xiaozhou Zhou, Yiming Shi

Proceedings of the 2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications, 2019