Zonghao Guo - RankMe

43 papers A* 6Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation. CoRR Yichen Zhang, Da Peng, Zonghao Guo, Zijian Zhang, Xuesong Yang, Tong Sun, Shichu Sun, Yidan Zhang, Yanghao Li, Haiyan Zhao, Wang Xu, Qi Shi, Yangang Sun, Chi Chen, Shuo Wang, Yukun Yan, Xu Han, Qiang Ma, Wei Ke, Liang Wang, Zhiyuan Liu, Maosong Sun
2026	A*	`conf`	LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid. AAAI Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Xiaoying Zhang, Chi Chen, Jun Song, Yuan Yao, Tat-Seng Chua, Maosong Sun
2026	J	`jnl`	MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals. CoRR Junyu Shen, Zhendong She, Chenghanyu Zhang, Yuchuang Sun, Luqing Luo, Dingwei Tan, Zonghao Guo, Bo Guo, Zehua Han, Wupeng Xie, Yaxin Mu, Peng Zhang, Peipei Li, Fengxiang Wang, Yangang Sun, Maosong Sun
2025	J	`jnl`	Adaptive Deformation-Learning and Multiscale-Integrated Network for Remote Sensing Object Detection. IEEE Trans. Geosci. Remote. Sens. Xiyu Zhong, Jialei Zhan, Yuhang Xie, Lingtao Zhang, Guoxiong Zhou, Mingyue Liang, Kaitai Yang, Zonghao Guo, Liujun Li
2025	J	`jnl`	DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding. CoRR Xinyu Ma, Ziyang Ding, Zhicong Luo, Chi Chen, Zonghao Guo, Derek F. Wong, Xiaoyi Feng, Maosong Sun
2025	J	`jnl`	Discriminatively Matched Part Tokens for Pointly Supervised Instance Segmentation. Int. J. Comput. Vis. Zonghao Guo, Fang Wan, Mingxiang Liao, Yidan Zhang, Qixiang Ye
2025	J	`jnl`	EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding. CoRR Luqing Luo, Wenjin Gui, Yunfei Liu, Ziyue Zhang, Yunxi Zhang, Fengxiang Wang, Zonghao Guo, Zizhi Ma, Xinzhu Liu, Hanxiang He, Jinhai Li, Xin Qiu, Wupeng Xie, Yangang Sun
2025	J	`jnl`	GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution. CoRR Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Boqi Shan, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang
2025	J	`jnl`	GeoViS: Geospatially Rewarded Visual Search for Remote Sensing Visual Grounding. CoRR Peirong Zhang, Yidan Zhang, Luxiao Xu, Jinliang Lin, Zonghao Guo, Fengxiang Wang, Xue Yang, Kaiwen Wei, Lei Wang
2025	J	`jnl`	Hierarchical AttentionShift for Pointly Supervised Instance Segmentation. IEEE Trans. Neural Networks Learn. Syst. Mingxiang Liao, Fang Wan, Zonghao Guo, Qixiang Ye
2025	J	`jnl`	LLaVA-UHD v3: Progressive Visual Compression for Efficient Native-Resolution Encoding in MLLMs. CoRR Shichu Sun, Yichen Zhang, Haolin Song, Zonghao Guo, Chi Chen, Yidan Zhang, Yuan Yao, Zhiyuan Liu, Maosong Sun
2025	J	`jnl`	MM-UAVBench: How Well Do Multimodal Large Language Models See, Think, and Plan in Low-Altitude UAV Scenarios? CoRR Shiqi Dai, Zizhi Ma, Zhicong Luo, Xuesong Yang, Yibin Huang, Wanyue Zhang, Chi Chen, Zonghao Guo, Wang Xu, Yufei Sun, Maosong Sun
2025	—	`conf`	Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. ACL (Findings) You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun
2025	J	`jnl`	Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. CoRR You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun
2025	J	`jnl`	MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe. CoRR Tianyu Yu, Zefan Wang, Chongyi Wang, Fuwei Huang, Wenshuo Ma, Zhihui He, Tianchi Cai, Weize Chen, Yuxiang Huang, Yuanqian Zhao, Bokai Xu, Junbo Cui, Yingjing Xu, Liqing Ruan, Luoyuan Zhang, Hanyu Liu, Jingkun Tang, Hongyuan Liu, Qining Guo, Wenhao Hu, Bingxiang He, Jie Zhou, Jie Cai, Ji Qi, Zonghao Guo, Chi Chen, Guoyang Zeng, Yuxuan Li, Ganqu Cui, Ning Ding, Xu Han, Yuan Yao, Zhiyuan Liu, Maosong Sun
2025	J	`jnl`	ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder. CoRR Xiaoxing Hu, Kaicheng Yang, Ziyang Gong, Qi Ming, Zonghao Guo, Xiang An, Ziyong Feng, Junchi Yan, Xue Yang
2025	J	`jnl`	Video-R1: Reinforcing Video Reasoning in MLLMs. CoRR Kaituo Feng, Kaixiong Gong, Bohao Li, Zonghao Guo, Yibing Wang, Tianshuo Peng, Benyou Wang, Xiangyu Yue
2025	J	`jnl`	Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition. CoRR Xiaoying Zhang, Da Peng, Yipeng Zhang, Zonghao Guo, Chengyue Wu, Chi Chen, Wei Ke, Helen Meng, Maosong Sun
2025	A*	`conf`	XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CVPR Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun
2025	J	`jnl`	XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CoRR Fengxiang Wang, Hongzhen Wang, Mingshuo Chen, Di Wang, Yulin Wang, Zonghao Guo, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun
2024	—	`conf`	ControlCap: Controllable Region-Level Captioning. ECCV (38) Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan
2024	J	`jnl`	Controllable Dense Captioner with Multimodal Embedding Bridging. CoRR Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan
2024	J	`jnl`	DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning. CoRR Ketin Yin, Zonghao Guo, ZhengHan Qin
2024	J	`jnl`	LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer. CoRR Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Chi Chen, Jun Song, Bo Zheng, Yuan Yao, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun
2024	—	`conf`	LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang
2024	J	`jnl`	LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang
2024	J	`jnl`	Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset. CoRR Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong, Long Lan, Jing Zhang, Zhiyuan Liu, Maosong Sun
2023	A*	`conf`	AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation. CVPR Mingxiang Liao, Zonghao Guo, Yuze Wang, Peng Yuan, Bailan Feng, Fang Wan
2023	J	`jnl`	Conformer: Local Features Coupling Global Representations for Recognition and Detection. IEEE Trans. Pattern Anal. Mach. Intell. Zhiliang Peng, Zonghao Guo, Wei Huang, Yaowei Wang, Lingxi Xie, Jianbin Jiao, Qi Tian, Qixiang Ye
2023	A*	`conf`	Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. ICCV Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye
2022	—	`conf`	Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes. 3DV Yongqiang Mao, Zonghao Guo, Xiaonan Lu, Zhiqiang Yuan, Haowen Guo
2022	J	`jnl`	Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection. IEEE Trans. Circuits Syst. Video Technol. Zonghao Guo, Xiaosong Zhang, Chang Liu, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
2022	J	`jnl`	Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. CoRR Xiaosong Zhang, Feng Liu, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye
2022	J	`jnl`	Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders. CoRR Yongqiang Mao, Xian Sun, Wenhui Diao, Kaiqiang Chen, Zonghao Guo, Xiaonan Lu, Kun Fu
2021	A*	`conf`	Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection. CVPR Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, Qixiang Ye
2021	A*	`conf`	Long-tailed Distribution Adaptation. ACM Multimedia Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye
2021	J	`jnl`	Long-tailed Distribution Adaptation. CoRR Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye
2018	J	`jnl`	Model Checking Optimal Infinite-Horizon Control for Probabilistic Gene Regulatory Networks. IEEE Access Lisong Wang, Tao Feng, Junhua Song, Zonghao Guo, Jun Hu
2018	J	`jnl`	基于概率模型检测和遗传算法的基因调控网络的无限范围优化控制 (Infinite-horizon Optimal Control of Genetic Regulatory Networks Based on Probabilistic Model Checking and Genetic Algorithm). 计算机科学 Shuang Liu, Ou Wei, Zonghao Guo
2017	J	`jnl`	Model checking optimal finite-horizon control for probabilistic gene regulatory networks. BMC Syst. Biol. Ou Wei, Zonghao Guo, Yun Niu, Wenyuan Liao
2017	J	`jnl`	使用模型检测解决概率布尔网络优化控制 (Optimal Control of Probabilistic Boolean Networks Using Model Checking). 计算机科学 Zonghao Guo, Ou Wei
2016	—	`conf`	Model Checking Probabilistic Network Propagation Protection Strategies. Trustcom/BigDataSE/ISPA Zonghao Guo, Ou Wei, Peng Yu, Lansheng Han, Weiming Wu
2016	—	`conf`	Optimal control for context-sensitive probabilistic Boolean networks with perturbation using probabilisitic model checking. BIBM Ou Wei, Zonghao Guo, Yun Niu, Wenyuan Liao