My name is James Y. Huang. I’m a third-year Ph.D. student at University of Southern California (USC) advised by Prof. Muhao Chen and Prof. Fred Morstatter. My research interest lies in natural language processing and machine learning, with a focus on robustness and trustworthiness of LLMs. Previously, I was a research intern at Adobe Research, Amazon AWS AI and Tencent AI Lab.

Before Ph.D., I received my master’s degree from University of California, Los Angeles (UCLA) where I worked with Prof. Kai-Wei Chang. I got my bachelor’s degree in Engineering Science from University of Toronto.

News

[May 2024] Start my internship at Adobe Research.

[Dec 2023] Our paper on learning compositional sentence representations won
:trophy:Outstanding Paper Award at EMNLP 2023!

Publications

(* indicates equal contribution)

mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
arXiv 2024
[pdf]

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Fei Wang*, Xingyu Fu*, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
arXiv 2024
[pdf]

Offset Unlearning for Large Language Models
James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
arXiv 2024
[pdf]

DeAL: Decoding-time Alignment for Large Language Models
James Y. Huang*, Sailik Sengupta*, Daniele Bonadiman, Yi-an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchoff, Dan Roth
arXiv 2024
[pdf]

Contrastive Instruction Tuning
Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
ACL 2024 (Findings)
[pdf]

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
EMNLP 2023 :trophy:Outstanding Paper Award
[pdf] [code]

Robust Natural Language Understanding with Residual Attention Debiasing
Fei Wang*, James Y. Huang*, Tianyi Yan, Wenxuan Zhou, Muhao Chen
ACL 2023 (Findings)
[pdf] [code]

Parameter-Efficient Tuning with Special Token Adaptation
Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen
EACL 2023
[pdf] [code]

Unified Semantic Typing with Meaningful Label Inference
James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen
NAACL 2022
[pdf] [code]

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
NAACL 2021
[pdf] [code]

Robotic Immobilization of Motile Sperm
Zhuoran Zhang, Changsheng Dai, James Huang, Xian Wang, Jun Liu, Junyan Zhang, Sergey Moskovtsev, Clifford Librach, Keith Jarvi, Yu Sun
ICRA 2018
[pdf]

Automated Non-Invasive Measurement of Sperm Motility and Morphology Parameters
Changsheng Dai, Zhuoran Zhang, James Huang, Xian Wang, Wenlong Meng, Junyan Zhang, Sergey Moskovtsev, Clifford Librach, Keith Jarvi, Yu Sun
ICRA 2018
[pdf]