Pronouns: he/him
My name in Chinese: 刘翔
English name: Dominic
Email: [email protected]
<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/399a9bc8-7048-4efb-b614-a235e66ea4f8/f30b1dd3-7384-4ae2-b912-11f36f7e174f/Picture2.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/399a9bc8-7048-4efb-b614-a235e66ea4f8/f30b1dd3-7384-4ae2-b912-11f36f7e174f/Picture2.png" width="40px" /> Google Scholar
</aside>
<aside> <img src="/icons/close_gray.svg" alt="/icons/close_gray.svg" width="40px" /> X
</aside>
<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/399a9bc8-7048-4efb-b614-a235e66ea4f8/cd361d2a-9856-49d3-bfa3-abc0d900c2fa/25231.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/399a9bc8-7048-4efb-b614-a235e66ea4f8/cd361d2a-9856-49d3-bfa3-abc0d900c2fa/25231.png" width="40px" /> Github
</aside>
<aside> <img src="notion://custom_emoji/399a9bc8-7048-4efb-b614-a235e66ea4f8/144768d9-5d13-807a-9cd0-007a28875119" alt="notion://custom_emoji/399a9bc8-7048-4efb-b614-a235e66ea4f8/144768d9-5d13-807a-9cd0-007a28875119" width="40px" /> QR Code
</aside>
<aside> <img src="https://www.kaggle.com/static/images/site-logo.svg" alt="https://www.kaggle.com/static/images/site-logo.svg" width="40px" /> Kaggle
</aside>
https://embed.notionlytics.com/wt/ZXlKM2IzSnJjM0JoWTJWVWNtRmphMlZ5U1dRaU9pSlZRVFpRUmpGUVltYzBWRWhqVTJ3eGJXWnhlaUlzSW5CaFoyVkpaQ0k2SW1SaVptUXdZek15WVdNMk16UXdOalk1T1RKaE1qQmlOekUzT1RJMVpXSTVJbjA9
I am a PhD student in Data Science and Analytics (DSA) Thrust at the Hong Kong University of Science and Technology (Guangzhou) advised by Prof. Xiaowen Chu and Prof.Xuming HU. I have been a research intern at HKUST, working with Prof. Tong Zhang. Prior to HKUST(GZ), I graduated from HKU with an M.S. in Computer Science and GMU with B.S. in Computer science. I am happy to mentor undergraduate or master students interested in research.
My main research focuses on natural language processing and machine learning. I am particularly interested in efficient LLMs and Agent. My goal is to build LLMs that can be a daily human assistant.
<aside> 🌱 What’s NEW
🎉 [2024.11] I’m selected as the Top Reviewer of NeurIPS 2024 for both main and D&B tracks (Link).
🚀 Three papers are accepted by NeurIPS 2024 !
🚀 Two papers are accepted by EMNLP 2024 !!
🚀 Selected for OpenAI’s Researcher Access Program $3000 USD.
🚀 Two CoT papers are accepted by ACL 2024 !!
</aside>
Please see my Google Scholar profiles for the full list.
(*: equal contribution)
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Rui Pan*, Xiang Liu*, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang
NeurIPS. 2024. [paper] [code(🌟 8K on GitHub)][blog]
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
Qi Li*, Xiang Liu*, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
Lujun Li*, Peijie Dong*, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo
NeurIPS. 2024.
LongGenBench: Long-context Generation Benchmark
Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu
EMNLP Findings. 2024. [paper] [code]
LPZero: Language Model Zero-cost Proxy Search from Zero
Peijie Dong*, Lujun Li*, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
EMNLP Findings. 2024. [paper]
3D Question Answering for City Scene Understanding
Penglei Sun*, Yaoxian Song*, Xiang Liu, Xiaofei Yang, Qiang Wang, Tiefeng Li, Yang YANG, Xiaowen Chu
Active prompting with chain-of-thought for large language models
Shizhe Diao*, Pengcheng Wang*, Yong Lin, Rui Pan, Xiang Liu, Tong Zhang
Plum: Prompt Learning using Metaheuristic
Rui Pan*, Shuo Xing*, Shizhe Diao, Wenhe Sun, Xiang Liu, Kashun Shum, Renjie Pi, Jipeng Zhang, Tong Zhang
ACL Findings. 2024. [paper] [code]
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
Peijie Dong*, Lujun Li*, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
Peijie Dong*, Lujun Li*, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu
arXiv preprint. 2024. [paper]
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models
Longteng Zhang*, Xiang Liu*, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu
arXiv preprint. 2023. [paper]
HKUST(GZ), 09/2023–Present
Ph.D. student, supervised by Prof. Xiaowen Chu and Prof.Xuming HU
HKUST, 12/2022–08/2023
Research Intern, supervised by Prof. Tong Zhang
Baidu Research Cognitive Computing Lab, 12/2021–06/2022
Research Intern, supervised by Mingming Sun
