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 NVIDIA GenAIR, Adobe Research and Amazon Ads before.

Email: weixifeng at ucsb dot edu

Email / CV (Nov., 2024) / 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).

Preprint

	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang arxiv / project page / code & data
	TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang arxiv / project page / code&data

Publication

	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 NeurIPS 2024 arxiv / project page / code
	Reward Guided Latent Consistency Distillation Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang TMLR 2024(Featured Certification) 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 TMLR 2024 arxiv / code
	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

Service

Reviewer: NeurIPS, ICML, ICLR, CVPR, ECCV, AAAI, TCSVT, EG2025, EACL 2023, ACL 2023, EMNLP 2023.

Teaching

CS165B Machine Learning, 2020-2021, Spring 2022

ECE239 Deep Learning, Winter 2019

Template from Jon Barron.