Jialu Li

🚨 I'm on the job market, looking for industry RS positions starting in Summer 2025!

Hi, thanks for stopping by.

I'm a fifth-year Ph.D. student at The University of North Carolina at Chapel Hill, advised by Prof. Mohit Bansal. Before joining UNC-CH, I got my Master degree from Cornell University, where I was advised by Prof. Claire Cardie. I did my Bachelor degree at Shanghai JiaoTong University.

Email / CV / Google Scholar / Twitter / Github

Research

I have a broad interest in Multimodal research, with a focus on text-to-image generation, Vision-and-Language Navigation, and multi-modal LLM.

News

We have two papers accepted to ICLR 2025.

We have a paper accepted to NeurIPS 2024.

I will intern at Google as Student Researcher for Summer 2024.

We have a paper accepted to AAAI 2024.

We have a paper accepted to NeurIPS 2023.

We have a paper accepted to ICCV 2023 and selected as Oral presentation.

I will intern at Apple as Machine Learning Research Intern for Summer 2023.

We have a paper accepted to CVPR 2023.

We have a paper accepted to Findings of NAACL 2022.

We have a paper accepted to CVPR 2022.

I will intern at Amazon as Applied Scientist for Summer 2022.

We have a paper accepted to EMNLP 2021.

We have a paper accepted to NAACL 2021.

We have a paper accepted to EMNLP 2020.

I will join UNC-CH as a new Ph.D. student in Fall 2020.

Publications

	Unbounded: A Generative Infinite Game of Character Life Simulation Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz. ICLR, 2025 paper / bib / website
	DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal. Preprint paper / code / bib / website
	Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao,Yali Wang, Mohit Bansal, Limin Wang. ICLR, 2025 paper / code / bib
	Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models Yue Zhang^, Ziqiao Ma^, Jialu Li^, Yanyuan Qiao^, Zun Wang^, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi TMLR* paper
	SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data Jialu Li^, Jaemin Cho^, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal. NeurIPS, 2024 paper / code / bib / website
	VLN-VIDEO: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation Jialu Li, Aishwarya Padmakumar, Gaurav Sukhatme, Mohit Bansal. AAAI, 2024 paper
	Multimodal large language model for visual navigation Yao-Hung Hubert Tsai, Vansh Dhar, Hugues Thomas, Jialu Li, Bowen Zhang, Jian Zhang Preprint paper
	PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation Jialu Li, Mohit Bansal. NeurIPS, 2023 paper / code / bib / website
	Scaling Data Generation in Vision-and-Language Navigation Zun Wang^, Jialu Li^, Yicong Hong^, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao. ICCV, 2023, Oral Presentation* paper / code / bib
	Improving Vision-and-Language Navigation by Generating Future-View Image Semantics Jialu Li, Mohit Bansal. CVPR, 2023 paper / code / bib / website
	CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment Agnostic Representations Jialu Li, Hao Tan, Mohit Bansal. Findings of NAACL, 2022 paper / code / bib
	EnvEdit: Environment Editing for Vision-and-Language Navigation Jialu Li, Hao Tan, Mohit Bansal. CVPR, 2022 paper / code / bib
	NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue Hyounghun Kim, Jialu Li, Mohit Bansal. EMNLP, 2021 paper / code / bib
	Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information Jialu Li, Hao Tan, Mohit Bansal. NAACL, 2021 (short papers) paper / code / bib
	Exploring the Role of Argument Structure in Online Debate Persuasion Jialu Li, Esin Durmus, Claire Cardie. EMNLP, 2020 (short papers) paper / code / bib