A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning. - Xuechen Zhao; Jiaying Zou; Lei Tian; Feng Xie 003; Haiyang Wang; Hongzhou Wu; Bin Zhou 004; Jie Tian (CogSci, 2023)

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding. - Hongzhou Wu; Yifan Lyu; Xingyu Shen; Xuechen Zhao; Mengzhu Wang; Xiang Zhang 008; Zhigang Luo (ICME, 2023)

Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval. - Xingyu Shen; Xiang Zhang 008; Xun Yang 001; Yibing Zhan; Long Lan; Jianfeng Dong; Hongzhou Wu (ACM Multimedia, 2023)

Gender Differences in Dynamic Functional Network Connectivity in Pediatric and Adult Patients with Attention-Deficit/Hyperactivity Disorder. - Elijah Agoalikum; Benjamin Klugah-Brown; Hongzhou Wu; Junlin Jing; Bharat B. Biswal (Brain Connect., 2023)

MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning. - Xuechen Zhao; Lei Tian; Feng Xie 003; Bin Zhou 004; Haiyang Wang; Hongzhou Wu; Liqun Gao (ICASSP, 2024)

MQGA: A quantitative analysis of brain network hubs using multi-graph theoretical indices. - Hongzhou Wu; Zhenzhen Yang; Qingquan Cao; Pan Wang; Bharat B. Biswal; Benjamin Klugah-Brown (NeuroImage, 2024)

Event-Oriented State Alignment Network for Weakly Supervised Temporal Language Grounding. - Hongzhou Wu; Xiang Zhang 008; Tao Tang; Canqun Yang; Zhigang Luo (Entropy, 2024)

TFS: Revisiting Temporal Language Grounding from Frequency Spiking Perspective. - Yifan Lyu; Hongzhou Wu; Lixiang Liu; Chuxiong Sun (ICASSP, 2025)