Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification. - Peixiang Huang; Runhui Huang; Jianjie Huang; Rushi Yangchen; Zongyao He; Xiying Li; Junzhou Chen (CVPR Workshops, 2019)

FILIP: Fine-grained Interactive Language-Image Pre-Training. - Lewei Yao; Runhui Huang; Lu Hou 002; Guansong Lu; Minzhe Niu; Hang Xu 004; Xiaodan Liang; Zhenguo Li; Xin Jiang 002; Chunjing Xu (ICLR, 2022)

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. - Jiaxi Gu; Xiaojun Meng; Guansong Lu; Lu Hou 002; Niu Minzhe; Xiaodan Liang; Lewei Yao; Runhui Huang; Wei Zhang 196; Xin Jiang 002; Chunjing Xu; Hang Xu 004 (NeurIPS, 2022)

P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Yanxin Long; Jianhua Han; Runhui Huang; Xu Hang; Yi Zhu 004; Chunjing Xu; Xiaodan Liang (CoRR, 2022)

NLIP: Noise-Robust Language-Image Pre-training. - Runhui Huang; Yanxin Long; Jianhua Han; Hang Xu 004; Xiwen Liang; Chunjing Xu; Xiaodan Liang (AAAI, 2023)

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. - Xinchi Deng; Han Shi; Runhui Huang; Changlin Li; Hang Xu 004; Jianhua Han; James T. Kwok; Shen Zhao; Wei Zhang 196; Xiaodan Liang (ICCV, 2023)

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. - Runhui Huang; Jianhua Han; Guansong Lu; Xiaodan Liang; Yihan Zeng; Wei Zhang 196; Hang Xu 004 (ICCV, 2023)

Boosting Visual-Language Models by Exploiting Hard Samples. - Haonan Wang; Minbin Huang; Runhui Huang; Lanqing Hong; Hang Xu 004; Tianyang Hu; Xiaodan Liang; Zhenguo Li (CoRR, 2023)

UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. - Xiao Dong; Runhui Huang; Xiaoyong Wei; Zequn Jie; Jianxing Yu; Jian Yin 001; Xiaodan Liang (CoRR, 2023)

LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. - Runhui Huang; Kaixin Cai; Jianhua Han; Xiaodan Liang; Renjing Pei; Guansong Lu; Songcen Xu; Wei Zhang 196; Hang Xu 004 (ECCV (76), 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CoRR, 2024)

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Jianhua Han; Lanqing Hong; Hang Xu 004; et al. (CoRR, 2024)

Efficient Multi-modal Large Language Models via Visual Token Grouping. - Minbin Huang; Runhui Huang; Han Shi; Yimeng Chen; Chuanyang Zheng; Xiangguo Sun; Xin Jiang; Zhenguo Li; Hong Cheng 001 (CoRR, 2024)

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance. - Chunwei Wang; Guansong Lu; Junwei Yang; Runhui Huang; Jianhua Han; Lu Hou 002; Wei Zhang 196; Hang Xu 004 (CoRR, 2024)

Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Yanxin Long; Jianhua Han; Runhui Huang; Hang Xu 004; Yi Zhu 004; Chunjing Xu; Xiaodan Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CVPR, 2025)

HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. - Runhui Huang; Xinpeng Ding; Chunwei Wang; Jianhua Han; Yulong Liu; Hengshuang Zhao; Hang Xu 004; Lu Hou 002; Wei Zhang 010; Xiaodan Liang (CVPR, 2025)

Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. - Haonan Wang; Minbin Huang; Runhui Huang; Lanqing Hong; Hang Xu 004; Tianyang Hu; Xiaodan Liang; Zhenguo Li; Hong Cheng 001; Kenji Kawaguchi (NAACL (Long Papers), 2025)

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Kaixin Cai; Yiyang Yin; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Yu-Jie Yuan; et al. (CoRR, 2025)

HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding. - Rui Yan 001; Lin Song 002; Yicheng Xiao; Runhui Huang; Yixiao Ge; Ying Shan; Hengshuang Zhao (CoRR, 2025)

ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. - Runhui Huang; Chunwei Wang; Junwei Yang; Guansong Lu; Yunlong Yuan; Jianhua Han; Lu Hou 002; Wei Zhang 196; Lanqing Hong; Hengshuang Zhao; Hang Xu 004 (CoRR, 2025)