Weixi Feng

Weixi Feng (冯蔚熙)

I am a fifth-year CS Ph.D. candidate at UCSB NLP group. I am fortunate to be advised by Prof. William Wang and work closely with Prof. Xin Wang at UCSC. I obtained my M.Sc. in ECE from UCLA and my B.S. in ECE from the Hong Kong Polytechnic Unversity. I interned at Adobe Research and Amazon Ads before.

Email: weixifeng at ucsb dot edu

Email / CV / Google Scholar / Github / Twitter / LinkedIn

I am actively looking for full-time scientists positions that focus on image or video generation and the application of LLMs/VLMs on visual generation.

Research

My research interests lie at the intersection of vision and language. Recently, I am specifically interested in compositionality problems in image/video generation and the application of generative models for design. I am trying to build LLM-centered visual generation systems across multiple domains (images, videos, 3D).

Publication

	VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler William Yang Wang, AAAI 2024 arxiv / paper / code
	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang * equal contribution NeurIPS 2023 arxiv / project page / code
	EDIS: Entity-Driven Image Search over Multimodal Web Content Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Yang Wang * equal contribution EMNLP 2023 Main arxiv / code
	Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang ICLR 2023 OpenReview / arxiv / project page / code
	Neuro-Symbolic Procedural Planning with Commonsense Prompting Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang ICLR 2023 (Spotlight) OpenReview / arxiv / code
	ULN: Towards Underspecified vision-and-Language Navigation Weixi Feng, Tsu-Jui Fu, Yujie Lu, William Yang Wang EMNLP 2022 Main Abstract in 2nd Unimplicit Workshop, NAACL , 2022 Proceedings / arxiv / code
	CPL: Counterfactual Prompt Learning for Vision and Language Models Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang EMNLP 2022 Main Proceedings / arxiv / code

Preprint

	T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang arxiv / Project page / code
	Reward Guided Latent Consistency Distillation Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang arxiv / Project page / code
	Discriminative Diffusion Models as Few-shot Vision and Language Learners Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang arxiv / code
	Anticipating the Unseen Discrepancy for Vision and Language Navigation Yujie Lu, Huiliang ZHang, Ping Nie, Weixi Feng, Wenda Xu, Xin Eric Wang, William Yang Wang arxiv / code

Service

Reviewer: EACL 2023, ACL 2023, NeurIPS 2023, EMNLP 2023, ICLR 2024

Teaching

CS165B Machine Learning, 2020-2021, Spring 2022

ECE239 Deep Learning, Winter 2019

Template from Jon Barron.