Junda Su's Home Page

I am a first year PhD student at UCSD Data Science Department, fortunately advised by Prof. Hao Zhang. I recently graduated from Rice University.

My research interests lie at the intersection of efficient ML and hardware-aware systems. I am interested in developing efficient LLM algorithms, as well as hardware-aware systems that accelerate these emerging architectures.

Email: [first_name][last_name] at ucsd.edu

Also known as: David | Chinese Name: 苏俊达

Github | Scholar | Twitter | Linkedin | CV

Photo Credit: Haiming Sun

News | Publications | Teaching | Posts

News

[2025/05] Graudated from Rice University.

Publications

* indicates equal contribution

Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
Tianyi Zhang*, Junda Su*, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava
ICML 2025
In Defense of Structural Sparse Adapters for Concurrent LLM Serving
Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu
Findings of EMNLP 2024
Hierarchical Deep Learning for Autonomous Multilabel Arrhythmia Detection and Classiﬁcation on
Real-world Wearable ECG Data
Guangyao Zheng, Sunghan Lee, Jeonghwan Koh, Khushbu Pahwa, Haoran Li, Zicheng Xu, Haiming Sun, Junda Su, Sung Pil Cho, Sung Il Im, In cheol Jeong, Vladimir Braverman
Digital Health

Teaching

COMP 318 - Concurrent Program Design - Fall 2024
Teaching Assistant
COMP 321 - Introduction to Computer Systems - Spring 2024
Teaching Assistant | [Course Website]
COMP 382 - Reasoning About Algorithms - Fall 2023
Teaching Assistant
COMP 182 - Algorithm Thinking - Spring 2023
Teaching Assistant

Last Updated: Sept, 2025