News
Jun 2024
One paper is accepted by IEEE TKDE on Out-Of-Distribution and Hash Retrieval.
Dec 2023
One paper is accepted by AAAI Edge Intelligence Workshop on Multimodal Learning, Parameter-efficient-finetuning and Instruction Tuning.
Sep 2023
One paper is accepted by NeurIPS on Multimodal Learning and Parameter-efficient-finetuning.
July 2023
One paper is accepted by ICCV on Label-noise Learning and Image Retrieval.
July 2023
Graduated from Chongqing University. See you all my friends!
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Xinlong Yang
School of Software and Microelectronics
5 Yiheyuan Road, Beijing, China
Email: xinlong.yang AT stu.pku.edu.cn
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I received my bachelor's degree from the Department of Computer Science, Chongqing University in July 2023, under the guidance of Prof. Jiaxing Shang. Now I'm working towards my master's degree in National Engineering Research Center for Software Engineering, Peking University.
My main research interests are multimodal learning, large language model and data mining, in the early stage of my scientific research, I received a lot of help from Haixin Wang(PKU) and Xiao Luo(UCLA), and I am very grateful to them. In the future, I hope to do some more influential work, welcome to talk and cooperate with me!
My main research interests are multimodal learning, large language model and data mining, in the early stage of my scientific research, I received a lot of help from Haixin Wang(PKU) and Xiao Luo(UCLA), and I am very grateful to them. In the future, I hope to do some more influential work, welcome to talk and cooperate with me!
Education
| Peking University (PKU) Master in National Engineering Research Center for Software Engineering 2023.09 - now, Beijing, China Advisor: Prof. Jinan Sun |
| Chongqing University (CQU) Bachelor in Department of Computer Science and Technology 2019.09 - 2023.07, Chongqing, China Advisor: Prof. Jiaxing Shang |
Publications
(* means Equal Contribution) Data Mining: |
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval
Xinlong Yang*, Haixin Wang*, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo ICCV 2023 (CCF-A | Accept Rate: 26.8%) |
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Look into Gradients: Learning Compact Hash Codes for Out-of-distribution Retrieval
Haixin Wang*, Xinlong Yang*, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo TKDE 2024 (CCF-A | Journal) |
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Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Haixin Wang*, Xinlong Yang*, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian NeurIPS 2023 (CCF-A | Accept Rate: 26.1%) |
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When Parameter-efficient Tuning Meets General-purpose Vision-language Models
Yihang Zhai, Haixin Wang, Jianlong Chang, Xinlong Yang, Jinan Sun, Shikun Zhang, Qi Tian AAAI 2024 (workshop) |
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Amphista: Accelerate LLM Inference with Bi-directional Multiple Drafting Heads in a Non-autoregressive Style
Zeping Li*, Xinlong Yang*, Ziheng Gao, Ji Liu, Zhuang Liu, Dong Li, Jinzhang Peng, Lu Tian, Emad Barsoum preprint (This work was done when I interned at AMD) |
Experiences
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AMD (AI Group) Research Intern working on LLM inference acceleration 2024.01 - now Project: 135M Llama and CodeLlama model trained from scratch for speculative decoding. |
Academic Service
(I'm happy to serve the AI community and work together to make it better!)| Reviewer for ECCV2024 |
Honor and Awards
| Outstanding graduates of Chongqing, 2023 |
| National Encouragement Scholarship (5000¥), 2022 |
| First prize of Huawei Cloud Artificial Intelligence Competition (1/60, 10000¥), 2022 |
Last update: 2023-06-25. Webpage template borrows from Xiangnan He.