Zhuofan Zong

According to our database, Zhuofan Zong authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving.

Hao Shao, Letian Wang, Yang Zhou, Yuxuan Hu, Zhuofan Zong, Steven L. Waslander, Wei Zhan, Hongsheng Li

CoRR, April, 2026

FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation.

Zimu Lu, Houxing Ren, Yunqiao Yang, Ke Wang, Zhuofan Zong, Mingjie Zhan, Hongsheng Li

CoRR, February, 2026

SlidesGen-Bench: Evaluating Slides Generation via Computational and Quantitative Metrics.

Yunqiao Yang, Wenbo Li, Houxing Ren, Zimu Lu, Ke Wang, Zhiyuan Huang, Zhuofan Zong, Mingjie Zhan, Hongsheng Li

CoRR, January, 2026

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving.

Yang Zhou, Hao Shao, Letian Wang, Zhuofan Zong, Hongsheng Li, Steven L. Waslander

CoRR, January, 2026

2025

DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation.

Dongzhi Jiang, Renrui Zhang, Haodong Li, Zhuofan Zong, Ziyu Guo, Jun He, Claire Guo, Junyan Ye, Rongyao Fang, Weijia Li, Rui Liu, Hongsheng Li

CoRR, December, 2025

WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning.

Zimu Lu, Houxing Ren, Yunqiao Yang, Ke Wang, Zhuofan Zong, Junting Pan, Mingjie Zhan, Hongsheng Li

CoRR, September, 2025

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

Dongzhi Jiang, Ziyu Guo, Renrui Zhang, Zhuofan Zong, Hao Li, Le Zhuo, Shilin Yan, Pheng-Ann Heng, Hongsheng Li

CoRR, May, 2025

ADT: Tuning Diffusion Models with Adversarial Supervision.

Dazhong Shen, Guanglu Song, Yi Zhang, Bingqi Ma, Lujundong Li, Dongzhi Jiang, Zhuofan Zong, Yu Liu

CoRR, April, 2025

VividFace: A Robost and High-Fidelity Video Face Swapping Framework.

Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, Zhuofan Zong, Shuo Qin, Yu Liu, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.

Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping.

Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, Shuo Qin, Zhuofan Zong, Bingqi Ma, Yu Liu, Hongsheng Li

CoRR, 2024

Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models.

Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li

CoRR, 2024

MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning.

Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models.

Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.

Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.

Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DETRs with Collaborative Hybrid Assignments Training.

Zhuofan Zong, Guanglu Song, Yu Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Large-batch Optimization for Dense Visual Predictions.

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

CoRR, 2022

Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes.

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-slimmed Vision Transformer.

Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection.

Zhuofan Zong, Qianggang Cao, Biao Leng

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Graph Attention Based Proposal 3D ConvNets for Action Detection.

Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020