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I am a third-year Ph.D. candidate from NUS Sound and Music Computing Lab, where I am supervised by Prof. Ye Wang. I am affiliated to Integrative Sciences and Engineering Programme and School of Computing at National University of Singapore. Before that, I obtained my B.E. degree of Electronic Engineering and B.S. degree of Finance at Tsinghua University in 2021. I am also a research intern at Sea AI lab (SAIL). I am mentored by Dr. Tianyu Pang and Dr. Chao Du, and working closely with Dr. Qian Liu, and Dr. Min Lin. My research interests include two directions: (i) fundamental research for generative models [Arxiv'2023], (multimodal) large language models and AI agents [ICML'2024]; (ii) application of machine learning, e.g. multimodal learning [MM'2022 Oral, TOMM'2024], multi-distribution learning (domain adaptation [ISMIR'2022, TOMM'2024], fairness [MM'2023]), to singing/speech techniques. Email / CV / Google Scholar / Openreview / Linkedin / Twitter / Github |
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| * denotes equal contribution, † denotes correspondence. |
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Xiangming Gu, Chao Du†, Tianyu Pang†, Chongxuan Li, Min Lin, Ye Wang† Preprints, 2023. pdf / code |
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Xiangming Gu*, Xiaosen Zheng*, Tianyu Pang*†, Chao Du, Qian Liu, Ye Wang†, Jing Jiang†, Min Lin International Conference on Machine Learning (ICML'2024), Vienna, Austria. Also in International Conference on Learning Representations Workshop on Large Language Model Agents (LLMAgents @ ICLR'2024). ICML / ICLR workshop / project page / code / video / slides / poster / press |
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Xiangming Gu, Longshen Ou, Wei Zeng, Jianan Zhang, Nicholas Wong, Ye Wang† ACM Transactions on Multimedia Computing Communications and Applications (TOMM'2024). pdf / code / data |
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Yixin Wang, Wei Wei, Xiangming Gu, Xiaohong Guan, Ye Wang† IEEE Transactions on Audio, Speech and Language Processing (TASLP'2023). IEEE document / code |
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Xiangming Gu, Wei Zeng, Ye Wang† ACM International Conference on Multimedia (MM'2023), Ottawa, Canada. pdf / code / video / poster |
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Wei Wei*, Hengguan Huang*, Xiangming Gu, Hao Wang, Ye Wang† Transactions on Machine Learning Research (TMLR'2022). pdf / code |
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Hengguan Huang†, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang† Advances in Neural Information Processing Systems (NeurIPS'2022), New Orleans, USA. pdf / code / video |
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Longshen Ou*, Xiangming Gu*, Ye Wang† International Society for Music Information Retrieval Conference (ISMIR'2022), Bengaluru, India. pdf / code |
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Xiangming Gu*, Longshen Ou*, Danielle Ong, Ye Wang† ACM International Conference on Multimedia (MM'2022). (Oral, Top Paper Award), Lisbon, Portugal. pdf / appendix / project page / code / data / video / press |
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Youze Xue, Jiansheng Chen†, Xiangming Gu, Huimin Ma, Hongbing Ma IEEE Transactions on Image Processing (TIP'2022). IEEE document / code |
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Boyu Zhang, Xiangming Gu, Jiayuan Liu, Jingyi Kang, Chengquan Hu, Hongen Liao; Smart Materials and Structures (2024). IOP Science |
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Boyu Zhang, Penghui Yang, Xiangming Gu, Hongen Liao† IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'2021), Virtual. Also in IEEE Robotics and Automation Letter (RA-L'2021). IEEE document |
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Dean's Graduate Research Excellence Award, National University of Singapore, 2024
Research Incentive Award, National University of Singapore, 2023 Research Achievement Award, National University of Singapore, 2022 MM'22 Top Paper Award, Association for Computing Machinery, 2022 MM'22 Student Travel Grant, Association for Computing Machinery, 2022 President's Graduate Fellowship, National University of Singapore, 2021 Visiting Undergraduate Student Scholarship, Tsinghua University, 2020 Tsinghua's Friend- Zheng Geru Scholarship, Tsinghua University, 2018 |
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Conference reviewer for ICLR2025, ACL ARR 2024, EMNLP 2024, NeurIPS 2024, MM 2024, ECCV 2024, IJCAI 2024, ICCV 2023, AISTATS 2021
Journal reviewer for TASLP, RA-L |
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Teaching Assistant, CS4347/CS5647, Sound and Music Computing, Fall 2024
Teaching Assistant, CS6212, Topics in Media, Spring 2024 Teaching Assistant, CS5242, Neural Networks and Deep Learning, Spring 2023 Teaching Assistant, CS3244, Machine Learning, Fall 2022 Teaching Assistant, CS4243, Computer Vision and Pattern Recognition, Spring 2022 |
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