Yupei Lin (林育培) | Ph.D. Student, Sun Yat-sen University

About

I am a Ph.D. student at the School of Computer Science and Engineering, Sun Yat-sen University, advised by Prof. Liang Lin. My research interests include large language model evaluation and reliability, reasoning, agent systems, and multimodal learning for embodied interaction.

Research interests: LLM Evaluation & Reliability · Reasoning · LLM Agents · Multimodal Learning · Embodied AI

Education

2025.09 – Present

Ph.D., Sun Yat-sen UniversitySchool of Computer Science and Engineering · Supervisor: Prof. Liang Lin

2022.09 – 2025.06

M.S., Guangdong University of TechnologySchool of Information Engineering · Supervisor: Prof. Yukai Shi

2018.06 – 2022.09

B.S., Guangdong University of TechnologySchool of Information Engineering

Honors

National Scholarship2024–2025

Outstanding Graduate2025

Academic Service

Conference Reviewer

ICLR · NAACL

Journal Reviewer

Pattern Recognition · IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) · Engineering Applications of Artificial Intelligence (EAAI)

Publications

Full list on Google Scholar ↗

2026

2026

Figure 1 — GPT-6-Astra Understands Touch and Outperform Vision--Tactile--Language--Action Models — FIG. 1

GPT-6-Astra Understands Touch and Outperform Vision--Tactile--Language--Action Models

Ziyong Wang, Yupei Lin, Runxuan Huang, Liang Lin, Dongyu Zhang, Guangrun Wang

arXiv:2610.28457 · Preprint

Paper PDF Code / Project

2026

Figure 1 — HoloCosm: Beyond Single-Metric Benchmark Compression Across Multiple Metrics — FIG. 1

HoloCosm: Beyond Single-Metric Benchmark Compression Across Multiple Metrics

Yupei Lin, Zhongzhan Huang, Junxin Li, Guoming Ling, Shanshan Zhong, Hefeng Wu, Yukai Shi, Liang Lin

arXiv:2610.26714 · Preprint · Under review

2026

Figure 1 — Are We Testing Too Much? A Survey of Benchmark Compression for Efficient Evaluation of Large Language Models — FIG. 1

Are We Testing Too Much? A Survey of Benchmark Compression for Efficient Evaluation of Large Language Models

Guoming Ling, Yupei Lin, Zhongzhan Huang, Junxin Li, Junjie Liu, Shanshan Zhong, Hefeng Wu, Liang Lin

arXiv:2610.18248 · Preprint

2026

Figure 1 — Right Model, Right Task: A Survey on Dynamic LLM Routing — FIG. 1

Right Model, Right Task: A Survey on Dynamic LLM Routing

Yupei Lin, Guoming Ling, Zhongzhan Huang, Ziyong Wang, Junxin Li, Shanshan Zhong, Hefeng Wu, Yukai Shi, Liang Lin

Under review

Paper Code / Project

2026

Figure 1 — Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models — FIG. 1

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models

Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin

Findings of the Association for Computational Linguistics: ACL 2026 · Published

2026

Figure 1 — AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion — FIG. 1

AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion

Xiaopeng Liu, Yupei Lin, Sen Zhang, Xiao Wang, Yukai Shi, Liang Lin

IEEE Sensors Journal, 2026 · Published

2025

2025

Figure 1 — RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs — FIG. 1

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs

Zhongzhan Huang, Guoming Ling, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin

Findings of the Association for Computational Linguistics: EMNLP 2025 · Published

Paper PDF Code / Project

2025

Figure 1 — Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond — FIG. 1

Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond

Yukai Shi, Zhipeng Weng, Yupei Lin, Cidan Shi, Xingyuan Guo, Xiaojun Yang, Liang Lin

IEEE Transactions on Instrumentation and Measurement, 2025 · Published

Paper PDF Code / Project

2024

2024

Figure 1 — Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior — FIG. 1

Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior

Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin

IEEE Transactions on Geoscience and Remote Sensing, 2024 · Published

Paper PDF Code / Project

2024

Figure 1 — SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection — FIG. 1

SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection

Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin

IEEE Transactions on Geoscience and Remote Sensing, 2024 · Published

Paper PDF Code / Project

2024

Figure 1 — MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond — FIG. 1

MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond

Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin

IEEE Signal Processing Letters, 2024 · Published

Paper PDF Code / Project

2023

2023

Figure 1 — ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation — FIG. 1

ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation

Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi

arXiv:2305.04651 · Preprint

2022

2022

Figure 1 — Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation — FIG. 1

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation

Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi

Proceedings of the 30th ACM International Conference on Multimedia (ACM MM 2022) · Published