Linghao (Lynn) Jinย
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Biography
Biography
I am a third-year PhD student in Computer Science at University of Southern California, advised by Professor Xuezhe Ma. Currently I mostly engage in Long-context modeling, Multimodal generation and LLM pre-training. Previously, I got my MS degree from Johns Hopkins University, advised by Benjamin Van Durme and Jerry L. Prince.
๐ฌ linghaoj [AT] usc [DOT] edu
News ๐๏ธ
News ๐๏ธ
[Feb 10th, 2025] Our paper "ContraFusion: Contrastively Improving Compositional Understanding in Diffusion Models via Fine-Grained Negative Images" got spotlight in ICLR 2025
[Sep 20th, 2024] Our paper "Light-weight fine-tuning for defending adversarial noise in medical VLMs" is accepted by EMNLP 2024
[Oct 7th, 2023] My first NLP paper is accepted by EMNLP 2023
Publications ๐
Publications ๐
Generative Models
Generative Models
ContraFusion: Contrastively Improving Compositional Understanding in Diffusion Models via Fine-Grained Negative Images ๐
Xu Han, Linghao Jin, Xiaofeng Liu, Paul Pu Liang
ICLR, 2025 (spotlight)
Context-aware Neural Machine Translation
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models ๐
Linghao Jin, Li An, Xuezhe Ma
Arxiv Preprint 2024
Challenges in Context-Aware Neural Machine Translation ๐
Linghao Jin*, Jacqueline He*, Jonathan May, Xuezhe Ma
EMNLP 2023
MAX-ISI System at WMT23 Discourse-Level Literary Translation Task ๐
An Li*, Linghao Jin*, Xuezhe Ma
WMT 2023
Medical AI
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models ๐
Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu
EMNLP (Findings) 2024
Effects of defacing whole head MRI on neuroanalysis ๐
Chenyu Gao, Linghao Jin, Jerry L Prince, Aaron Carass
SPIE 2022
Pattern Recognition
Mutual information regularized identity-aware facial expression recognition in compressed video ๐
Xiaofeng Liu, Linghao Jin, Xu Han, Jane You
Pattern Recognition 2021
Domain generalization under conditional and label shifts via variational bayesian inference ๐
Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges EL Fakhri, Jonghye Woo
IJCAI 2021
Rethinking the Invariant Feature Learning: Variational Bayesian Inference for Domain Generalization ๐
Xiaofeng Liu, B Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo
IJCAI 2021
Identity-aware facial expression recognition in compressed video ๐
Xiaofeng Liu*, Linghao Jin*, Xu Han, Jun Lu, Jane You, Lingsheng Kong
ICPR 2020
Work Experienceย
Work Experienceย
[June 2024 - Sep 2024] Mohamed bin Zayed University of Artificial Intelligence: MBZUAI
Mentor:ย Hector Liu
Topics: Mixture of expert (MOE) model pre-training
TA
TA
2022 Fall: CSCI104 Data Structures and Object Oriented Design
2023 Spring: CSCI544 Applied Natural Language Processing
2023 Fall: CSCI 585 Database System
2024 Spring: CSCI544 Applied Natural Language Processing
Talks
Talks
[Jan, 24, 2024] "Challenges in Context-aware NMT"ย
@ Microsoft Reading group
[Nov, 2023] Poster Presentationย
@ EMNLP Singapore, 2023
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