Graph Attention Based Proposal 3D ConvNets for Action Detection. - Jin Li; Xianglong Liu 001; Zhuofan Zong; Wanru Zhao; Mingyuan Zhang; Jingkuan Song (AAAI, 2020)

RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection. - Zhuofan Zong; Qianggang Cao; Biao Leng (ACM Multimedia, 2021)

Self-slimmed Vision Transformer. - Zhuofan Zong; Kunchang Li 002; Guanglu Song; Yali Wang 001; Yu Qiao 001; Biao Leng; Yu Liu 015 (ECCV (11), 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 015; Ping Luo 002 (NeurIPS, 2022)

Large-batch Optimization for Dense Visual Predictions. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (CoRR, 2022)

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 001; Yu Liu 015 (ICCV, 2023)

DETRs with Collaborative Hybrid Assignments Training. - Zhuofan Zong; Guanglu Song; Yu Liu 015 (ICCV, 2023)

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. - Zeyue Xue; Guanglu Song; Qiushan Guo; Boxiao Liu; Zhuofan Zong; Yu Liu 015; Ping Luo 002 (NeurIPS, 2023)

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 015; Hongsheng Li 001 (NeurIPS, 2024)

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models. - Bingqi Ma; Zhuofan Zong; Guanglu Song; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 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 010; Guanglu Song; Zhuofan Zong; Letian Wang; Yu Liu 015; Hongsheng Li 001 (NeurIPS, 2024)

MoVA: Adapting Mixture of Vision Experts to Multimodal Context. - Zhuofan Zong; Bingqi Ma; Dazhong Shen; Guanglu Song; Hao Shao; Dongzhi Jiang; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2024)

Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models. - Hao Shao; Shengju Qian; Han Xiao 010; Guanglu Song; Zhuofan Zong; Letian Wang; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

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 015; Hongsheng Li 001 (CoRR, 2024)

VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping. - Hao Shao; Shulun Wang; Yang Zhou 019; Guanglu Song; Dailan He; Shuo Qin; Zhuofan Zong; Bingqi Ma; Yu Liu 015; Hongsheng Li 001 (CoRR, 2024)

ADT: Tuning Diffusion Models with Adversarial Supervision. - Dazhong Shen; Guanglu Song; Yi Zhang 108; Bingqi Ma; Lujundong Li; Dongzhi Jiang; Zhuofan Zong; Yu Liu 015 (CoRR, 2025)

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT. - Dongzhi Jiang; Ziyu Guo; Renrui Zhang; Zhuofan Zong; Hao Li 069; Le Zhuo; Shilin Yan; Pheng-Ann Heng; Hongsheng Li 001 (CoRR, 2025)