Tianwei Lin

According to our database, Tianwei Lin authored at least 21 papers between 2024 and 2026.

Collaborative distances:

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

2026

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis.

Tianwei Lin, Zhongwei Qiu, Jie Cao, Jiang Liu, Wenjie Yan, Bo Zhang, Yu Zhong, Wenqiao Zhang, Yingda Xia, Ling Zhang

CoRR, May, 2026

EgoCoT-Bench: Benchmarking Grounded and Verifiable Operation-Centric Chain of Thought Reasoning for MLLMs.

Yang Dai, Dian Jiao, Tianwei Lin, Wenqiao Zhang

CoRR, May, 2026

CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark.

Wei Wang, Yuqian Yuan, Tianwei Lin, Wenqiao Zhang, Siliang Tang, Jun Xiao, Yueting Zhuang

CoRR, May, 2026

IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation.

Haoyu Zheng, Tianwei Lin, Wei Wang, Zhuonan Wang, Wenqiao Zhang, Jiaqi Zhu, Feifei Shao

CoRR, April, 2026

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning.

Juekai Lin, Yun Zhu, Honglin Lin, Sijing Li, Tianwei Lin, Zheng Liu, Xiaoyang Wang, Wenqiao Zhang, Lijun Wu

CoRR, April, 2026

TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis.

Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. Mok, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang

CoRR, March, 2026

Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs.

Jie Cao, Tianwei Lin, Zhenxuan Fan, Bo Yuan, Ziyuan Zhao, Rolan Yan, Wenqiao Zhang, Siliang Tang

CoRR, March, 2026

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging.

Jie Cao, Zhenxuan Fan, Zhuonan Wang, Tianwei Lin, Ziyuan Zhao, Rolan Yan, Wenqiao Zhang, Feifei Shao, Hongwei Wang, Jun Xiao, Siliang Tang

CoRR, March, 2026

OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis.

Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang, Jiang Liu, Yihan Xie, Mingjian Gao, Zhenxuan Fan, Zhaocheng Li, Sijing Li, Zhongle Xie, Peng LU, Yueting Zhuang, Ling Zhang, Beng Chin Ooi, Yingda Xia

CoRR, February, 2026

Unified Personalized Understanding, Generating and Editing.

Yu Zhong, Tianwei Lin, Ruike Zhu, Yuqian Yuan, Haoyu Zheng, Liang Liang, Wenqiao Zhang, Feifei Shao, Haoyuan Li, Wanggui He, Hao Jiang, Yueting Zhuang

CoRR, January, 2026

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models.

Jie Cao, Tianwei Lin, Bo Yuan, Rolan Yan, Hongyang He, Wenqiao Zhang, Juncheng Li, Dongping Zhang, Siliang Tang, Yueting Zhuang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Fast Thinking for Large Language Models.

Haoyu Zheng, Zhuonan Wang, Yuqian Yuan, Tianwei Lin, Wenqiao Zhang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang, Hongyang He

CoRR, September, 2025

Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs.

Yang Dai, Jianxiang An, Tianwei Lin, Hongyang He, Hongzhe Huang, Wenqiao Zhang, Zheqi Lv, Siliang Tang, Yueting Zhuang

CoRR, June, 2025

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models.

Jie Cao, Tianwei Lin, Hongyang He, Rolan Yan, Wenqiao Zhang, Juncheng Li, Dongping Zhang, Siliang Tang, Yueting Zhuang

CoRR, June, 2025

Heartcare Suite: Multi-dimensional Understanding of ECG with Raw Multi-lead Signal Modeling.

Yihan Xie, Sijing Li, Tianwei Lin, Zhuonan Wang, Chenglin Yang, Yu Zhong, Wenqiao Zhang, Haoyuan Li, Hao Jiang, Fengda Zhang, Qishan Chen, Jun Xiao, Yueting Zhuang, Beng Chin Ooi

CoRR, June, 2025

EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model.

Sijing Li, Tianwei Lin, Lingshuai Lin, Wenqiao Zhang, Jiang Liu, Xiaoda Yang, Juncheng Li, Yucheng He, Xiaohui Song, Jun Xiao, Yueting Zhuang, Beng Chin Ooi

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

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation.

Tianwei Lin, Wenqiao Zhang, Sijing Li, Yuqian Yuan, Binhe Yu, Haoyuan Li, Wanggui He, Hao Jiang, Mengze Li, Xiaohui Song, Siliang Tang, Jun Xiao, Hui Lin, Yueting Zhuang, Beng Chin Ooi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition.

Tianwei Lin, Jiang Liu, Wenqiao Zhang, Yang Dai, Haoyuan Li, Zhelun Yu, Wanggui He, Juncheng Li, Jiannan Guo, Hao Jiang, Siliang Tang, Yueting Zhuang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework.

Jiang Liu, Bolin Li, Haoyuan Li, Tianwei Lin, Wenqiao Zhang, Tao Zhong, Zhelun Yu, Jinghao Wei, Hao Cheng, Hao Jiang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, 2024

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition.

Tianwei Lin, Jiang Liu, Wenqiao Zhang, Zhaocheng Li, Yang Dai, Haoyuan Li, Zhelun Yu, Wanggui He, Juncheng Li, Hao Jiang, Siliang Tang, Yueting Zhuang

CoRR, 2024

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models.

Wenqiao Zhang, Tianwei Lin, Jiang Liu, Fangxun Shu, Haoyuan Li, Lei Zhang, Wanggui He, Hao Zhou, Zheqi Lv, Hao Jiang, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, 2024