Changsen Yuan

According to our database, Changsen Yuan authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation.

Haitian Li, Yanghao Zhou, Heyan Huang, Liangji Chen, YiMing Cheng, Xu Liu, Dian Jin, Jiajun Xu, Jingyun Liao, Tian Lan, Ziqin Zhou, Yueying Liu, Yu Bai, Changsen Yuan, Jinxing Zhou, Xian-Ling Mao, Xuefeng Chen, Yousheng Feng

CoRR, May, 2026

MTAVG-Bench: A Comprehensive Benchmark for Evaluating Multi-Talker Dialogue-Centric Audio-Video Generation.

Yang-Hao Zhou, Haitian Li, Rexar Lin, Heyan Huang, Jinxing Zhou, Changsen Yuan, Tian Lan, Ziqin Zhou, Yudong Li, Jiajun Xu, Jingyun Liao, Yi-Ming Cheng, Xuefeng Chen, Xian-Ling Mao, Yousheng Feng

CoRR, February, 2026

Seeing With Words: Interpretable Language-Guided Drone Geo-Localization via LLM-Enriched Semantic Attribute Alignment.

Changsen Yuan, Yang-Hao Zhou, Cunhan Guo, Danjie Han, Ge Shi, Wenwu Wang

IEEE Trans. Multim., 2026

Selective and contrastive mechanism for distantly supervised relation extraction.

Danjie Han, Heyan Huang, Shumin Shi, Cunhan Guo, Xun Li, Yanghao Zhou, Changsen Yuan

Neurocomputing, 2026

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

Transferring cross-Dimensional knowledge via proxy task for medical image segmentation.

Cunhan Guo, Heyan Huang, Yang-Hao Zhou, Danjie Han, Changsen Yuan

Expert Syst. Appl., 2026

Reliable reasoning: Learning and inference based on the ability of large language models.

Changsen Yuan, Rui Lin, Cunhan Guo

Appl. Soft Comput., 2026

2025

Improving inference via rich path information and logic rules for document-level relation extraction.

Huizhe Su, Shaorong Xie, Hang Yu, Changsen Yuan, Xinzhi Wang, Xiangfeng Luo

Knowl. Inf. Syst., May, 2025

Contextual Augmentation via Retrieval for Multi-Granularity Relation Extraction in LLMs.

Danjie Han, Lingzhong Meng, Xun Li, Jia Li, Cunhan Guo, Yanghao Zhou, Changsen Yuan, Yuxi Ma

Symmetry, 2025

Distantly Supervised relation extraction with multi-level contextual information integration.

Danjie Han, Heyan Huang, Shumin Shi, Changsen Yuan, Cunhan Guo

Neurocomputing, 2025

CARE: Contextual Augmentation with Retrieval Enhancement for Relation Extraction in Large Language Models.

Danjie Han, Heyan Huang, Shumin Shi, Cunhan Guo, Xun Li, Yanghao Zhou, Changsen Yuan

Proceedings of the Natural Language Processing and Chinese Computing, 2025

2024

Screening through a broad pool: Towards better diversity for lexically constrained text generation.

Changsen Yuan, Heyan Huang, Yixin Cao, Qianwen Cao

Inf. Process. Manag., March, 2024

Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning.

Heyan Huang, Changsen Yuan, Qian Liu, Yixin Cao

ACM Trans. Inf. Syst., January, 2024

Improving Inference via Rich Path Information for Dialogue Relation Extraction.

Huizhe Su, Hang Yu, Yanghao Zhou, Changsen Yuan, Jinpeng Li, Shaorong Xie, Xiangfeng Luo

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation.

Cunhan Guo, Heyan Huang, Changsen Yuan, Yanghao Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Collective prompt tuning with relation inference for document-level relation extraction.

Changsen Yuan, Yixin Cao, Heyan Huang

Inf. Process. Manag., September, 2023

Concept-Enhanced Relation Network for Video Visual Relation Inference.

Qianwen Cao, Heyan Huang, Mucheng Ren, Changsen Yuan

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction.

Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Piecewise graph convolutional network with edge-level attention for relation extraction.

Changsen Yuan, Heyan Huang, Chong Feng, Qianwen Cao

Neural Comput. Appl., 2022

BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network.

Bo Wang, Yi-Fan Lu, Xiaochi Wei, Xiao Liu, Ge Shi, Changsen Yuan, Heyan Huang, Chong Feng, Xianling Mao

Proceedings of the Natural Language Processing and Chinese Computing, 2022

2021

Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction.

Changsen Yuan, Heyan Huang, Chong Feng

ACM Trans. Intell. Syst. Technol., 2021

Document-level relation extraction with Entity-Selection Attention.

Changsen Yuan, Heyan Huang, Chong Feng, Ge Shi, Xiaochi Wei

Inf. Sci., 2021

BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training.

Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, Lifang Wu

Proceedings of the Natural Language Processing and Chinese Computing, 2021

2020

News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition.

Xiao Liu, Heyan Huang, Yue Zhang, Changsen Yuan

CoRR, 2020

2019

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding.

Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019