Runhui Huang - RankMe

31 papers A* 8Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AtomThink: Multimodal Slow Thinking With Atomic Step Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. Kun Xiang, Zhili Liu, Terry Jingchen Zhang, Yinya Huang, Yunshuang Nie, Kaixin Cai, Yiyang Yin, Runhui Huang, Hanhui Li, Yihan Zeng, Yu-Jie Yuan, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2025	J	`jnl`	Answer-Consistent Chain-of-thought Reinforcement Learning For Multi-modal Large Langauge Models. CoRR Minbin Huang, Runhui Huang, Chuanyang Zheng, Jingyao Li, Guoxuan Chen, Han Shi, Hong Cheng
2025	J	`jnl`	Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? CoRR Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Kaixin Cai, Yiyang Yin, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Yu-Jie Yuan, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2025	J	`jnl`	DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning. CoRR Zhe Liu, Runhui Huang, Rui Yang, Siming Yan, Zining Wang, Lu Hou, Di Lin, Xiang Bai, Hengshuang Zhao
2025	A*	`conf`	EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CVPR Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu
2025	—	`conf`	Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. NAACL (Long Papers) Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi
2025	A*	`conf`	HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding. ICML Rui Yang, Lin Song, Yicheng Xiao, Runhui Huang, Yixiao Ge, Ying Shan, Hengshuang Zhao
2025	J	`jnl`	HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding. CoRR Rui Yan, Lin Song, Yicheng Xiao, Runhui Huang, Yixiao Ge, Ying Shan, Hengshuang Zhao
2025	A*	`conf`	HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. CVPR Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang
2025	J	`jnl`	ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. CoRR Runhui Huang, Chunwei Wang, Junwei Yang, Guansong Lu, Yunlong Yuan, Jianhua Han, Lu Hou, Wei Zhang, Lanqing Hong, Hengshuang Zhao, Hang Xu
2024	J	`jnl`	AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. CoRR Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2024	J	`jnl`	EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CoRR Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu
2024	J	`jnl`	Efficient Multi-modal Large Language Models via Visual Token Grouping. CoRR Minbin Huang, Runhui Huang, Han Shi, Yimeng Chen, Chuanyang Zheng, Xiangguo Sun, Xin Jiang, Zhenguo Li, Hong Cheng
2024	J	`jnl`	Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. IEEE Trans. Neural Networks Learn. Syst. Yanxin Long, Jianhua Han, Runhui Huang, Hang Xu, Yi Zhu, Chunjing Xu, Xiaodan Liang
2024	J	`jnl`	HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. CoRR Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang
2024	J	`jnl`	ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance. CoRR Chunwei Wang, Guansong Lu, Junwei Yang, Runhui Huang, Jianhua Han, Lu Hou, Wei Zhang, Hang Xu
2024	—	`conf`	LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. ECCV (76) Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu
2024	J	`jnl`	LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. CoRR Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu
2023	J	`jnl`	Boosting Visual-Language Models by Exploiting Hard Samples. CoRR Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li
2023	A*	`conf`	DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. ICCV Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu
2023	J	`jnl`	DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. CoRR Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu
2023	A*	`conf`	GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. ICCV Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang
2023	J	`jnl`	GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. CoRR Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang
2023	A*	`conf`	NLIP: Noise-Robust Language-Image Pre-training. AAAI Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
2023	J	`jnl`	UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. CoRR Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang
2022	A*	`conf`	FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2022	J	`jnl`	NLIP: Noise-robust Language-Image Pre-training. CoRR Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang
2022	J	`jnl`	P CoRR Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang
2022	A*	`conf`	Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu
2021	J	`jnl`	FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2019	—	`conf`	Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification. CVPR Workshops Peixiang Huang, Runhui Huang, Jianjie Huang, Rushi Yangchen, Zongyao He, Xiying Li, Junzhou Chen