Optimal control for context-sensitive probabilistic Boolean networks with perturbation using probabilisitic model checking. - Ou Wei; Zonghao Guo; Yun Niu; Wenyuan Liao (BIBM, 2016)

Model Checking Probabilistic Network Propagation Protection Strategies. - Zonghao Guo; Ou Wei; Peng Yu; Lansheng Han; Weiming Wu (Trustcom/BigDataSE/ISPA, 2016)

Model checking optimal finite-horizon control for probabilistic gene regulatory networks. - Ou Wei; Zonghao Guo; Yun Niu; Wenyuan Liao (BMC Syst. Biol., 2017)

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). - Zonghao Guo; Ou Wei (计算机科学, 2017)

Model Checking Optimal Infinite-Horizon Control for Probabilistic Gene Regulatory Networks. - Lisong Wang; Tao Feng; Junhua Song; Zonghao Guo; Jun Hu (IEEE Access, 2018)

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). - Shuang Liu; Ou Wei; Zonghao Guo (计算机科学, 2018)

Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection. - Zonghao Guo; Chang Liu 042; Xiaosong Zhang 004; Jianbin Jiao; Xiangyang Ji; Qixiang Ye (CVPR, 2021)

Long-tailed Distribution Adaptation. - Zhiliang Peng; Wei Huang; Zonghao Guo; Xiaosong Zhang 004; Jianbin Jiao; Qixiang Ye (ACM Multimedia, 2021)

Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes. - Yongqiang Mao; Zonghao Guo; Xiaonan Lu; Zhiqiang Yuan; Haowen Guo (3DV, 2022)

Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders. - Yongqiang Mao; Xian Sun; Wenhui Diao; Kaiqiang Chen; Zonghao Guo; Xiaonan Lu; Kun Fu 001 (CoRR, 2022)

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. - Xiaosong Zhang 004; Feng Liu 050; Zhiliang Peng; Zonghao Guo; Fang Wan 001; Xiangyang Ji; Qixiang Ye (CoRR, 2022)

Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection. - Zonghao Guo; Xiaosong Zhang 004; Chang Liu 047; Xiangyang Ji; Jianbin Jiao; Qixiang Ye (IEEE Trans. Circuits Syst. Video Technol., 2022)

AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation. - Mingxiang Liao; Zonghao Guo; Yuze Wang 004; Peng Yuan; Bailan Feng; Fang Wan 001 (CVPR, 2023)

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. - Feng Liu 050; Xiaosong Zhang 004; Zhiliang Peng; Zonghao Guo; Fang Wan 001; Xiangyang Ji; Qixiang Ye (ICCV, 2023)

Conformer: Local Features Coupling Global Representations for Recognition and Detection. - Zhiliang Peng; Zonghao Guo; Wei Huang; Yaowei Wang 001; Lingxi Xie; Jianbin Jiao; Qi Tian 001; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Zonghao Guo; Ruyi Xu; Yuan Yao 013; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Gao Huang 001 (ECCV (83), 2024)

ControlCap: Controllable Region-Level Captioning. - Yuzhong Zhao; Yue Liu; Zonghao Guo; Weijia Wu 001; Chen Gong 005; Qixiang Ye; Fang Wan 001 (ECCV (38), 2024)

Controllable Dense Captioner with Multimodal Embedding Bridging. - Yuzhong Zhao; Yue Liu; Zonghao Guo; Weijia Wu 001; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CoRR, 2024)

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Ruyi Xu; Yuan Yao 013; Zonghao Guo; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Maosong Sun 001; Gao Huang 001 (CoRR, 2024)

Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset. - Fengxiang Wang 004; Hongzhen Wang; Di Wang 023; Zonghao Guo; Zhenyu Zhong; Long Lan; Jing Zhang 037; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning. - Ketin Yin; Zonghao Guo; ZhengHan Qin (CoRR, 2024)

LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer. - Yipeng Zhang; Yifan Liu; Zonghao Guo; Yidan Zhang; Xuesong Yang; Chi Chen 005; Jun Song; Bo Zheng; Yuan Yao; Zhiyuan Liu 001; Tat-Seng Chua; Maosong Sun 001 (CoRR, 2024)

Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. - You Li; Heyu Huang; Chi Chen 005; Kaiyu Huang; Chao Huang; Zonghao Guo; Zhiyuan Liu 001; Jinan Xu; Yuhua Li 003; Ruixuan Li 001; Maosong Sun 001 (ACL (Findings), 2025)

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? - Fengxiang Wang 004; Hongzhen Wang; Zonghao Guo; Di Wang 023; Yulin Wang 002; Mingshuo Chen; Qiang Ma; Long Lan; Wenjing Yang 002; Jing Zhang 037; Zhiyuan Liu 001; Maosong Sun 001 (CVPR, 2025)

Adaptive Deformation-Learning and Multiscale-Integrated Network for Remote Sensing Object Detection. - Xiyu Zhong; Jialei Zhan; Yuhang Xie; Lingtao Zhang; Guoxiong Zhou; Mingyue Liang; Kaitai Yang; Zonghao Guo; Liujun Li (IEEE Trans. Geosci. Remote. Sens., 2025)

Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition. - Xiaoying Zhang; Da Peng; Yipeng Zhang; Zonghao Guo; Chengyue Wu; Chi Chen 005; Wei Ke 003; Helen Meng; Maosong Sun 001 (CoRR, 2025)

DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding. - Xinyu Ma; Ziyang Ding; Zhicong Luo; Chi Chen 005; Zonghao Guo; Derek F. Wong; Xiaoyi Feng; Maosong Sun 001 (CoRR, 2025)

Video-R1: Reinforcing Video Reasoning in MLLMs. - Kaituo Feng; Kaixiong Gong; Bohao Li; Zonghao Guo; Yibing Wang; Tianshuo Peng; Benyou Wang; Xiangyu Yue 001 (CoRR, 2025)

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution. - Fengxiang Wang 004; Mingshuo Chen; Yueying Li; Di Wang 023; Haotian Wang 001; Zonghao Guo; Zefan Wang; Boqi Shan; Long Lan; Yulin Wang 002; Hongzhen Wang; Wenjing Yang 002; et al. (CoRR, 2025)

Hierarchical AttentionShift for Pointly Supervised Instance Segmentation. - Mingxiang Liao; Fang Wan 001; Zonghao Guo; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2025)