Pronouns: he/him
My name in Chinese: 刘翔
English name: Dominic
Email: [email protected]
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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 LMs that can be a daily human assistant.
<aside> 🌱 What’s NEW
🚀 Selected for OpenAI’s Researcher Access Program $3000 USD.
🚀 City-3DQA is accepted by ACM MM 2024!
🚀 Two CoT papers are accepted by ACL 2024 !!
🚀 **LISA!** Check out our recent efforts on memory-efficient fine-tuning of LLMs!
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Please see my Google Scholar profiles for the full list.
(*: equal contribution)
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
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
arXiv preprint. 2024. [paper] [code(🌟 8K on GitHub)][blog]
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
