Gemini Omni Flash released at Google I/O 2026.
Weixi Feng (冯蔚熙)
I am a Research Scientist at Google DeepMind working on multimodal foundation models, world models, with recent work on Gemini Omni and World Action Model. My research focuses on controllable visual generation and multimodal understanding for embodied agents, including language-guided image and video generation, visual planning, and action-conditioned world modeling. I obtained my Ph.D. in Computer Science from the UCSB NLP group, where I was advised by Prof. William Wang. Previously, I was an Applied Scientist at Amazon AGI and a Research Scientist Intern at NVIDIA Research and Adobe Research.
Recent updates
News
Joined Google DeepMind to work on video generation.
Joined Amazon AGI as an Applied Scientist working on video generation pre-training.
TC-Bench accepted to ACL 2025 Findings.
Released BlobGEN-Vid, my internship work with NVIDIA.
Selected work
Publications
ACL 2025 Findings
TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
CVPR 2025
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representation
Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie
Preprint Project page Code coming soon Demo video
ICLR 2025
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
NeurIPS 2024
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
TMLR 2024 · Featured Certification
Reward Guided Latent Consistency Distillation
Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang
TMLR 2024
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
AAAI 2024
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
NeurIPS 2023
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
EMNLP 2023 Main
EDIS: Entity-Driven Image Search over Multimodal Web Content
Siqi Liu*, Weixi Feng*, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
* equal contribution
ICLR 2023
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 · Spotlight
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
EMNLP 2022 Main
ULN: Towards Underspecified Vision-and-Language Navigation
Weixi Feng, Tsu-Jui Fu, Yujie Lu, William Yang Wang
Abstract in 2nd Unimplicit Workshop, NAACL, 2022
EMNLP 2022 Main
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
Academic community
Service
Reviewer: NeurIPS, ICML, ICLR, CVPR, ECCV, SIGGRAPH, ACL, EMNLP and etc.