Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. - Changsen Yuan; Heyan Huang; Chong Feng 001; Xiao Liu 029; Xiaochi Wei (AAAI, 2019)

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition. - Xiao Liu 029; Heyan Huang; Yue Zhang 004; Changsen Yuan (CoRR, 2020)

BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training. - Xiao Liu 029; Ge Shi 002; Bo Wang 134; Changsen Yuan; Heyan Huang; Chong Feng 001; Lifang Wu (NLPCC (2), 2021)

Document-level relation extraction with Entity-Selection Attention. - Changsen Yuan; Heyan Huang; Chong Feng 001; Ge Shi 002; Xiaochi Wei (Inf. Sci., 2021)

Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction. - Changsen Yuan; Heyan Huang; Chong Feng 001 (ACM Trans. Intell. Syst. Technol., 2021)

BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network. - Bo Wang 134; Yi-Fan Lu; Xiaochi Wei; Xiao Liu 029; Ge Shi 002; Changsen Yuan; Heyan Huang; Chong Feng 001; Xianling Mao (NLPCC (2), 2022)

Piecewise graph convolutional network with edge-level attention for relation extraction. - Changsen Yuan; Heyan Huang; Chong Feng 001; Qianwen Cao (Neural Comput. Appl., 2022)

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. - Changsen Yuan; Heyan Huang; Yixin Cao 002; Yonggang Wen 001 (ACL (1), 2023)

Concept-Enhanced Relation Network for Video Visual Relation Inference. - Qianwen Cao; Heyan Huang; Mucheng Ren; Changsen Yuan (IEEE Trans. Circuits Syst. Video Technol., 2023)

Collective prompt tuning with relation inference for document-level relation extraction. - Changsen Yuan; Yixin Cao 002; Heyan Huang (Inf. Process. Manag., 2023)

Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation. - Cunhan Guo; Heyan Huang; Changsen Yuan; Yanghao Zhou (BIBM, 2024)

Improving Inference via Rich Path Information for Dialogue Relation Extraction. - Huizhe Su; Hang Yu 006; Yanghao Zhou; Changsen Yuan; Jinpeng Li; Shaorong Xie; Xiangfeng Luo (NLPCC (5), 2024)

Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning. - Heyan Huang; Changsen Yuan; Qian Liu 012; Yixin Cao 002 (ACM Trans. Inf. Syst., 2024)

Screening through a broad pool: Towards better diversity for lexically constrained text generation. - Changsen Yuan; Heyan Huang; Yixin Cao 002; Qianwen Cao (Inf. Process. Manag., 2024)

Distantly Supervised relation extraction with multi-level contextual information integration. - Danjie Han; Heyan Huang; Shumin Shi; Changsen Yuan; Cunhan Guo (Neurocomputing, 2025)

Improving inference via rich path information and logic rules for document-level relation extraction. - Huizhe Su; Shaorong Xie; Hang Yu 006; Changsen Yuan; Xinzhi Wang 001; Xiangfeng Luo (Knowl. Inf. Syst., 2025)

Leveraging mamba for reference audio-visual segmentation with vote and cache mechanism. - Cunhan Guo; Heyan Huang; Yang-Hao Zhou; Changsen Yuan; Danjie Han (Expert Syst. Appl., 2026)