GJM-2: A Special Case of General Jelinek-Mercer Smoothing Method for Language Modeling Approach to Ad Hoc IR. - Guodong Ding; Bin Wang 004 (AIRS, 2005)

CAS-ICT at TREC 2005 Robust Track: Using Query Expansion and RankFusion to Improve Effectiveness and Robustness of Ad Hoc Information Retrieval. - Guodong Ding; Bin Wang 004; Shuo Bai (TREC, 2005)

Combining Language Model with Sentiment Analysis for Opinion Retrieval of Blog-Post. - Xiangwen Liao; Donglin Cao; Songbo Tan; Yue Liu; Guodong Ding; Xueqi Cheng (TREC, 2006)

ContentEx: A framework for automatic content extraction programs. - Linhai Song; Xueqi Cheng; Yan Guo 001; Yue Liu; Guodong Ding (ISI, 2009)

Facilitating wrapper generation with page analysis. - Bo Wu; Xueqi Cheng; Yu Wang 009; Gang Zhang; Guodong Ding (ISI, 2009)

Juicer: Scalable Extraction for Thread Meta-information of Web Forum. - Yan Guo 001; Yu Wang 009; Guodong Ding; Donglin Cao; Gang Zhang; Yi Lv (PAISI, 2009)

ECON: An Approach to Extract Content from Web News Page. - Yan Guo 001; Huifeng Tang; Linhai Song; Yu Wang 089; Guodong Ding (APWeb, 2010)

Let Features Decide for Themselves: Feature Mask Network for Person Re-identification. - Guodong Ding; Salman Hameed Khan; Zhenmin Tang; Fatih Porikli (CoRR, 2017)

Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification. - Guodong Ding; Shanshan Zhang 001; Salman H. Khan 001; Zhenmin Tang (ICME Workshops, 2018)

Dispersion based Clustering for Unsupervised Person Re-identification. - Guodong Ding; Salman H. Khan 001; Zhenmin Tang (BMVC, 2019)

Subsynchronous Oscillation Suppression Measures for Doubly-fed Wind Turbine Based on Eigenvalue Analysis Method and Correlation Factor Method. - Zhiyu Zhang; Hong Wang; Zhijie Wang; Guodong Ding (ICSAI, 2019)

Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification. - Guodong Ding; Salman H. Khan 001; Zhenmin Tang; Jian Zhang 002; Fatih Porikli (CoRR, 2019)

Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification. - Guodong Ding; Shanshan Zhang 001; Salman H. Khan 001; Zhenmin Tang; Jian Zhang 002; Fatih Porikli (IEEE Trans. Multim., 2019)

Feature mask network for person re-identification. - Guodong Ding; Salman H. Khan 001; Zhenmin Tang; Fatih Porikli (Pattern Recognit. Lett., 2020)

Multi-View Label Prediction for Unsupervised Learning Person Re-Identification. - Qingze Yin; Guan'an Wang; Guodong Ding; Shaogang Gong; Zhenmin Tang (IEEE Signal Process. Lett., 2021)

Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation. - Guodong Ding; Angela Yao (ECCV (35), 2022)

Temporal Action Segmentation: An Analysis of Modern Technique. - Guodong Ding; Fadime Sener; Angela Yao (CoRR, 2022)

Every Mistake Counts in Assembly. - Guodong Ding; Fadime Sener; Shugao Ma; Angela Yao (CoRR, 2023)

Temporal Action Segmentation With High-Level Complex Activity Labels. - Guodong Ding; Angela Yao (IEEE Trans. Multim., 2023)

Rapid Person Re-Identification via Sub-space Consistency Regularization. - Qingze Yin; Guan'an Wang; Guodong Ding; Qilei Li; Shaogang Gong; Zhenmin Tang (Neural Process. Lett., 2023)

Siamese global location-aware network for visual object tracking. - Jiafeng Li; Bin Li; Guodong Ding; Li Zhuo 001 (Int. J. Mach. Learn. Cybern., 2023)

Coherent Temporal Synthesis for Incremental Action Segmentation. - Guodong Ding; Hans Golong; Angela Yao (CVPR, 2024)

LMTextSpotter: Towards Better Scene Text Spotting with Language Modeling in Transformer. - Xin Xia; Guodong Ding; Siyuan Li (ICDAR (5), 2024)

OnlineTAS: An Online Baseline for Temporal Action Segmentation. - Qing Zhong; Guodong Ding; Angela Yao (NeurIPS, 2024)

Bankruptcy and retirement: a comparison in an optimal stopping times ordered framework. - Guodong Ding; Daniele Marazzina (Comput. Appl. Math., 2024)

Temporal Action Segmentation: An Analysis of Modern Techniques. - Guodong Ding; Fadime Sener; Angela Yao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Effect of labour income on the optimal bankruptcy problem. - Guodong Ding; Daniele Marazzina (Ann. Oper. Res., 2024)

Condensing Action Segmentation Datasets via Generative Network Inversion. - Guodong Ding; Rongyu Chen; Angela Yao (CVPR, 2025)

Spatial and temporal beliefs for mistake detection in assembly tasks. - Guodong Ding; Fadime Sener; Shugao Ma; Angela Yao (Comput. Vis. Image Underst., 2025)

A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation. - Qing Zhong; Peng-Tao Jiang; Wen Wang; Guodong Ding; Lin Wu; Kaiqi Huang (CoRR, 2025)