Hi there! My name is Yang Qin (秦阳). I’m a Ph.D. candidate (since 2021) at the College of Computer Science, Sichuan University, fortunately advised by Prof. Dezhong Peng and Prof. Peng Hu. I also collaborate closely with Prof. Xi Peng and Prof. Joey Tianyi Zhou. I used to serve as a research intern at Apsara Lab (led by Jieping Ye), Alibaba Cloud, from May to December 2024.

My pursuits center on multimodal learning and large language models, with an emphasis on advancing robustness and cross-modal understanding in AI systems:

• Multimodal Learning 👀: Multimodal Fusion & Cross-modal Learning > Investigating multimodal fusion mechanisms and cross-modal representation learning paradigm to enable coherent integration of heterogeneous data sources;
• Robust Machine Learning 🦾: Noisy Correspondence & Label in Multimodal Learning > Addressing challenges posed by noisy correspondence and labels in multimodal datasets, making efforts towards a unified noise-resilient multimodal learning framework;
• Large Language Models 🤖: Code LLMs & Application of MLLMs/LLMs > Exploring open-generation (e.g., code) capabilities and multimodal extensions for real-world applications, including interactive learning and domain-specific knowledge adaptation.

If you are interested in collaborating with me or want to have a chat, please feel free to contact me via email (Any way you like).

🔥 News

• 2025.07.05, one paper was accepted by ACM MM 2025 (CCF-A). Congrats to Ao Yang and coauthors! 🎉
• 2025.06.28, one paper was accepted by TIP 2025 (CCF-A). Thanks to all coauthors! 🎉
• 2025.05.01, one paper was accepted by ICML 2025 (CCF-A). Congrats to Ruitao and coauthors! 🎉
• 2025.04.29, one paper was accepted by IJCAI 2025 (CCF-A). Congrats to Prof. Hu and coauthors! 🎉
• 2025.02.27, one paper about LLM was accepted by CVPR 2025 (CCF-A). Thanks to all coauthors! 🎉
• 2025.01.23, one paper about LLM was accepted by ICLR 2025 (😀). Thanks to all coauthors! 🎉
• 2025.01.19, one paper was accepted by TMM (JCR Q1). Congrats to Yanglin and coauthors! 🎉
• 2025.01.16, one paper was accepted by TIFS (CCF-A). Congrats to Yongxiang and coauthors! 🎉
• 2024.12.10, one paper was accepted by AAAI 2025 (CCF-A). Congrats to Ruitao and coauthors! 🎉
• 2024.10.28, one paper was accepted by TMM (JCR Q1). Thanks to all coauthors! 🎉
• 2024.07.16, one paper was accepted by ACM MM 2024 (CCF-A). Congrats to Longan (Undergrad) and coauthors! 🎉
• 2024.06.26, one paper was accepted by TIP (CCF-A). Congrats to Yongxiang and coauthors! 🎉
• 2024.06.23, one paper was accepted by TKDE (CCF-A). Congrats to Yuan and coauthors! 🎉
• 2024.04.20, one paper was accepted by TMM (JCR Q1). Congrats to Yuan and the coauthors! 🎉
• 2024.02.27, one paper was accepted by CVPR 2024 (CCF-A). Thanks to all coauthors! 🎉
• 2023.09.22, one paper was accepted by NeurIPS 2023 (CCF-A). Thanks to all coauthors! 🎉
• 2022.06.30, one paper was accepted by ACM MM 2022 (CCF-A). Thanks to all coauthors! 🎉

📝 Publications (selected)

• [ACM MM’25] Ao Yang, Yanglin Feng, Yuan Sun, Dezhong Peng, Guiduo Duan, Yang Qin#, Noise-robust Cross-modal Learning for Reliable 2D-3D Retrieval, Proceedings of the 33rd ACM International Conference on Multimedia, 27-31 October 2025. code
• [TIP’25] Yang Qin, Lifu Huang, Dezhong Peng, Bohan Jiang, Joey Tianyi Zhou, Xi Peng, Peng Hu#, Trustworthy Visual-Textual Retrieval, IEEE Transactions on Image Processing (TIP), 2025. code
• [CVPR’25] Yang Qin, Chao Chen, Zhihang Fu, Dezhong Peng, Xi Peng, Peng Hu#, Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. code
• [ICLR’25] Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng#, Peng Hu#, Jieping Ye, ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL, International Conference on Learning Representations (ICLR), 2025. code
• [TMM’24] Ruitao Pu*, Yang Qin*, Dezhong Peng#, Xiaoming Song, Huiming Zheng, Deep Reversible Consistency Learning for Cross-modal Retrieval, IEEE Transactions on Multimedia (TMM), 2024. code
• [CVPR’24] Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu#, Noisy-Correspondence Learning for Text-to-Image Person Re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. code
• [NeurIPS’23] Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu#, Cross-modal Active Complementary Learning with Self-refining Correspondence, Neural Information Processing Systems (NeurIPS), 2023. code

• [ACM MM’22] Yang Qin, Dezhong Peng, Xi Peng, Xu Wang, Peng Hu#, Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval, Proceedings of the 30th ACM International Conference on Multimedia, 10-14 October 2022. code

• [ICML’25] Ruitao Pu, Yang Qin, Xiaomin Song, Dezhong Peng, Zhenwen Ren, Yuan Sun, SHE: Streaming-media Hashing Retrieval, International Conference on Machine Learning (ICML), 2025. code
• [IJCAI’25] Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng, Probabilistic Multimodal Learning with von Mises-Fisher Distributions, International Joint Conference on Artificial Intelligence (IJCAI), 2025. code
• [TIP’24] Yongxiang Li, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu#, RoMo: Robust Unsupervised Multimodal Learning With Noisy Pseudo Labels, IEEE Transactions on Image Processing (TIP), 2024. code

• [TKDE’24] Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu#, Robust Multi-View Clustering With Noisy Correspondence, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. code

• For the full list of published papers, see Google Scholar. # and * indicate the corresponding author and equal contribution.

📖 Educations and Experiences

• 2021.09 - now, PhD, the College of Computer Science, Sichuan University, Chengdu China.
• 2024.05 - 2024.12, the Research Internship at Alibaba Cloud (Apsara Lab led by Jieping Ye), Hangzhou China.
• 2017.09 - 2021.06, Undergraduate, the College of Software Engineering, Sichuan University, Chengdu China.

🎖 Honors and Awards

• 2024.11, PhD student National Scholarship.
• 2024.10, Outstanding Graduate Student of Sichuan University.
• 2023.10, Tencent Scholarship.
• 2023.10, Outstanding Graduate Student of Sichuan University.
• 2022.10, PhD student Innovation Scholarship.

🙋 Services

• Conference Reviewer: NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, ACMMM, IJCAI, AAAI, ACL, etc.
• Journal Reviewer: TIP, TMM, TNNLS, TVCJ, etc.