Human Action Recognition in Unconstrained Trimmed Videos Using Residual Attention Network and Joints Path Signature. - Tasweer Ahmad; Lianwen Jin; Jialuo Feng; Guozhi Tang (IEEE Access, 2019)

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks. - Tasweer Ahmad; Huiyun Mao; Luojun Lin; Guozhi Tang (IEEE Access, 2020)

Robust License Plate Recognition With Shared Adversarial Training Network. - Sheng Zhang 024; Guozhi Tang; Yuliang Liu; Huiyun Mao (IEEE Access, 2020)

Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution. - Jiapeng Wang; Chongyu Liu; Lianwen Jin; Guozhi Tang; Jiaxin Zhang 003; Shuaitao Zhang; Qianying Wang; Yaqiang Wu; Mingxiang Cai (AAAI, 2021)

Improving Machine Understanding of Human Intent in Charts. - Sihang Wu; Canyu Xie; Yuhao Huang; Guozhi Tang; Qianying Liao; Jiapeng Wang; Bangdong Chen; Hongliang Li; Xinfeng Chang; Hui Li; Kai Ding 009; Yichao Huang; et al. (ICDAR (3), 2021)

MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction. - Guozhi Tang; Lele Xie; Lianwen Jin; Jiapeng Wang; Jingdong Chen; Zhen Xu; Qianying Wang; Yaqiang Wu; Hui Li (IJCAI, 2021)

Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences. - Jiapeng Wang; Tianwei Wang; Guozhi Tang; Lianwen Jin; Weihong Ma; Kai Ding 009; Yichao Huang (IJCAI, 2021)

Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance. - Tasweer Ahmad; Lianwen Jin; Luojun Lin; Guozhi Tang (Neurocomputing, 2021)

Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey. - Tasweer Ahmad; Lianwen Jin; Xin Zhang 013; Songxuan Lai; Guozhi Tang; Luojun Lin (IEEE Trans. Artif. Intell., 2021)

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding. - Chuwei Luo; Guozhi Tang; Qi Zheng 002; Cong Yao; Lianwen Jin; Chenliang Li; Yang Xue 001; Luo Si (CoRR, 2022)

MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark. - Bin Shan; Xiang Fei; Wei Shi; An-Lan Wang; Guozhi Tang; Lei Liao; Jingqun Tang; Xiang Bai; Can Huang (CoRR, 2024)

Progressive reconstruction-decoupled face super-resolution framework with controllable knowledge guidance. - Guozhi Tang; Hongwei Ge; Enxuan Gu; Yaqing Hou; Mingde Zhao 002 (Knowl. Based Syst., 2024)

Localization and saturation of degradation space for weakly-supervised real-world super-resolution. - Guozhi Tang; Hongwei Ge; Yuxuan Liu 015; Chunguo Wu (Knowl. Based Syst., 2024)

A Virtual-Sensor Construction Network Based on Physical Imaging for Image Super-Resolution. - Guozhi Tang; Hongwei Ge; Liang Sun 003; Yaqing Hou; Mingde Zhao 002 (IEEE Trans. Image Process., 2024)

Occluded Person Reidentification via a Universal Framework With Difference Consistency Guidance Learning. - Yuxuan Liu 015; Hongwei Ge; Guozhi Tang; Yong Luo (IEEE Internet Things J., 2024)

ParGo: Bridging Vision-Language with Partial and Global Views. - An-Lan Wang; Bin Shan; Wei Shi; Kun-Yu Lin; Xiang Fei; Guozhi Tang; Lei Liao; Jingqun Tang; Can Huang; Wei-Shi Zheng 001 (AAAI, 2025)

Spiking Trans-YOLO: A range-adaptive energy-efficient bridge between YOLO and Transformer. - Yushi Huo; Hongwei Ge; Guozhi Tang; Shengxuan Gao; Jiale Xu (Neurocomputing, 2025)

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning. - Ling Fu; Biao Yang; Zhebin Kuang; Jiajun Song; Yuzhe Li; Linghao Zhu; Qidi Luo; Xinyu Wang; Hao Lu 003; Mingxin Huang; Zhang Li; Guozhi Tang; et al. (CoRR, 2025)

Multiscale Recovery Diffusion Model With Unsupervised Learning for Video Anomaly Detection System. - Bo Li; Hongwei Ge; Yuxuan Liu 015; Guozhi Tang (IEEE Trans. Ind. Informatics, 2025)

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning. - Jinghui Lu; Haiyang Yu; Siliang Xu; Shiwei Ran; Guozhi Tang; Siqi Wang; Bin Shan; Teng Fu; Hao Feng; Jingqun Tang; Han Wang; Can Huang (CoRR, 2025)

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement. - Weitao Jia; Jinghui Lu; Haiyang Yu; Siqi Wang; Guozhi Tang; An-Lan Wang; Weijie Yin; Dingkang Yang; Yuxiang Nie; Bin Shan; Hao Feng 009; Irene Li; et al. (CoRR, 2025)