Publications

* equal contribution · Also see Google Scholar

2025 – 2026

Gemini

Gemini Team

Tech Report and Blogs

arXiv 2.5 Tech Report Gemini 3.0 Blog Gemini 3.1 Blog Gemini 3.5 Blog Gemini 4.0 Argon Blog
Reinforced Fast Weights via Next-Sequence Prediction

Hee Seung Hwang, Xindi Wu, Sanghyuk Chun, Zhiwei Deng, and Olga Russakovsky

NeurIPS 2026Spotlight
DD-Ranking: Rethinking the Evaluation of Dataset Distillation

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, …, Zhiwei Deng, …, Yang You, and Kai Wang

NeurIPS 2026 E&D TrackOral

arXiv
Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers

Haoyu Wang, Yuliang Song, Tao Li, Zhiwei Deng, Yaqing Wang, Deepak Ramachandran, Eldan Cohen, and Dan Roth

arXiv

arXiv
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions

Ye Zhu, Duo Xu, Zhiwei Deng, Jonathan C. Tan, and Olga Russakovsky

NeurIPS 2025
Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification

William Yang, Xindi Wu, Zhiwei Deng, Esin Tureci, and Olga Russakovsky

CVPR 2025
A Sampling-Based Domain Generalization Study with Diffusion Generative Models

Ye Zhu, Yu Wu, Duo Xu, Zhiwei Deng, Yan Yan, and Olga Russakovsky

NeurIPS Workshop

2024

ICONS: Influence Consensus for Vision-Language Data Selection

Xindi Wu, Mengzhou Xia, Rulin Shao, Zhiwei Deng, Pang Wei Koh, and Olga Russakovsky

arXiv

arXiv
Influential Language Data Selection via Gradient Trajectory Pursuit

Zhiwei Deng, Tao Li, and Yang Li

arXiv

arXiv
A Label is Worth a Thousand Images in Dataset Distillation

Tian Qin, Zhiwei Deng, and David Alvarez-Melis

NeurIPS 2024

arXiv
Devil's Advocate: Anticipatory Reflection for LLM Agents

Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, and Yang Li

EMNLP 2024

arXiv
What is Dataset Distillation Learning?

William Yang, Ye Zhu, Zhiwei Deng, and Olga Russakovsky

ICML 2024

arXiv Code
Perceptual Group Tokenizer: Building Perception with Iterative Grouping

Zhiwei Deng, Ting Chen, and Yang Li

ICLR 2024

arXiv
Distributional Dataset Distillation with Subtask Decomposition

Tian Qin, Zhiwei Deng, and David Alvarez-Melis

arXiv

arXiv
Vision-Language Dataset Distillation

Xindi Wu, Byron Zhang, Zhiwei Deng, and Olga Russakovsky

TMLR 2024Best Paper – ECCV'24 Workshop

Website arXiv TMLR Code Video

2023

A Zero-Shot Language Agent for Computer Control with Structured Reflection

Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, and Yang Li

EMNLP 2023 Findings
Discovery and Expansion of New Domains within Diffusion Models

Ye Zhu, Yu Wu, Duo Xu, Zhiwei Deng, Yan Yan, and Olga Russakovsky

arXiv

arXiv
Unseen Image Synthesis with Diffusion Models

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, and Yan Yan

Workshop
Boundary Guided Learning-Free Semantic Control with Diffusion Models

Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, and Yan Yan

NeurIPS 2023

arXiv Code Project

2022 & Before

Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Zhiwei Deng and Olga Russakovsky

NeurIPS 2022

arXiv Code
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation

Zhiwei Deng, Karthik Narasimhan, and Olga Russakovsky

NeurIPS 2020

arXiv
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps

Wang Zhu*, Hexiang Hu*, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, and Fei Sha

ACL 2020Oral

arXiv
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation

Felix Yu, Zhiwei Deng, Karthik Narasimhan, and Olga Russakovsky

CVPR 2020 WorkshopOral

arXiv
Continuous Graph Flow

Zhiwei Deng*, Megha Nawhal*, Lili Meng, and Greg Mori

ICML 2020 Workshop

arXiv Code
Policy Message Passing: Modeling Trajectories for Probabilistic Graph Inference

Zhiwei Deng, Xingguo Li, and Greg Mori

ICML 2020 Workshop

PDF
Structured Label Inference for Visual Understanding

Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, and Greg Mori

T-PAMI 2020

arXiv
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis

Gilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S. Srinivasa, and Yaser Sheikh

ICCV 2019

Paper Code
Probabilistic Neural Programmed Networks for Scene Generation

Zhiwei Deng, Jiacheng Chen, Yifang Fu, and Greg Mori

NeurIPS 2018Spotlight

Paper
Sparsely Aggregated Convolutional Networks

Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, and Ping Tan

ECCV 2018

arXiv Code
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies

Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews, and Greg Mori

CVPR 2017

Paper

Press: CBC News · Phys.org · Caltech News
LabelBank: Revisiting Global Perspectives for Semantic Segmentation

Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, and Greg Mori

arXiv

arXiv
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition

Zhiwei Deng, Arash Vahdat, Hexiang Hu, and Greg Mori

CVPR 2016

arXiv Webpage Dataset Split
A Hierarchical Deep Temporal Model for Group Activity Recognition

Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, and Greg Mori

CVPR 2016

arXiv Code
Learning Structured Inference Neural Networks with Label Relations

Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, and Greg Mori

CVPR 2016

arXiv Project
Deep Structured Models for Group Activity Recognition

Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Roshtkhari, and Greg Mori

BMVC 2015Oral

arXiv