Changsen Yuan

24 papers A* 1Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Leveraging mamba for reference audio-visual segmentation with vote and cache mechanism.
Expert Syst. Appl.
Cunhan Guo, Heyan Huang, Yang-Hao Zhou, Changsen Yuan, Danjie Han
2026 J jnl
MTAVG-Bench: A Comprehensive Benchmark for Evaluating Multi-Talker Dialogue-Centric Audio-Video Generation.
CoRR
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
2026 J jnl
Reliable reasoning: Learning and inference based on the ability of large language models.
Appl. Soft Comput.
Changsen Yuan, Rui Lin, Cunhan Guo
2026 J jnl
Seeing With Words: Interpretable Language-Guided Drone Geo-Localization via LLM-Enriched Semantic Attribute Alignment.
IEEE Trans. Multim.
Changsen Yuan, Yang-Hao Zhou, Cunhan Guo, Danjie Han, Ge Shi, Wenwu Wang
2026 J jnl
Transferring cross-Dimensional knowledge via proxy task for medical image segmentation.
Expert Syst. Appl.
Cunhan Guo, Heyan Huang, Yang-Hao Zhou, Danjie Han, Changsen Yuan
2025 — conf
CARE: Contextual Augmentation with Retrieval Enhancement for Relation Extraction in Large Language Models.
NLPCC (1)
Danjie Han, Heyan Huang, Shumin Shi, Cunhan Guo, Xun Li, Yanghao Zhou, Changsen Yuan
2025 J jnl
Contextual Augmentation via Retrieval for Multi-Granularity Relation Extraction in LLMs.
Symmetry
Danjie Han, Lingzhong Meng, Xun Li, Jia Li, Cunhan Guo, Yanghao Zhou, Changsen Yuan, Yuxi Ma
2025 J jnl
Distantly Supervised relation extraction with multi-level contextual information integration.
Neurocomputing
Danjie Han, Heyan Huang, Shumin Shi, Changsen Yuan, Cunhan Guo
2025 J jnl
Improving inference via rich path information and logic rules for document-level relation extraction.
Knowl. Inf. Syst.
Huizhe Su, Shaorong Xie, Hang Yu, Changsen Yuan, Xinzhi Wang, Xiangfeng Luo
2024 J jnl
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning.
ACM Trans. Inf. Syst.
Heyan Huang, Changsen Yuan, Qian Liu, Yixin Cao
2024 — conf
Improving Inference via Rich Path Information for Dialogue Relation Extraction.
NLPCC (5)
Huizhe Su, Hang Yu, Yanghao Zhou, Changsen Yuan, Jinpeng Li, Shaorong Xie, Xiangfeng Luo
2024 — conf
Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation.
BIBM
Cunhan Guo, Heyan Huang, Changsen Yuan, Yanghao Zhou
2024 J jnl
Screening through a broad pool: Towards better diversity for lexically constrained text generation.
Inf. Process. Manag.
Changsen Yuan, Heyan Huang, Yixin Cao, Qianwen Cao
2023 J jnl
Collective prompt tuning with relation inference for document-level relation extraction.
Inf. Process. Manag.
Changsen Yuan, Yixin Cao, Heyan Huang
2023 J jnl
Concept-Enhanced Relation Network for Video Visual Relation Inference.
IEEE Trans. Circuits Syst. Video Technol.
Qianwen Cao, Heyan Huang, Mucheng Ren, Changsen Yuan
2023 — conf
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction.
ACL (1)
Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen
2022 — conf
BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network.
NLPCC (2)
Bo Wang, Yi-Fan Lu, Xiaochi Wei, Xiao Liu, Ge Shi, Changsen Yuan, Heyan Huang, Chong Feng, Xianling Mao
2022 J jnl
Piecewise graph convolutional network with edge-level attention for relation extraction.
Neural Comput. Appl.
Changsen Yuan, Heyan Huang, Chong Feng, Qianwen Cao
2021 — conf
BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training.
NLPCC (2)
Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, Lifang Wu
2021 J jnl
Document-level relation extraction with Entity-Selection Attention.
Inf. Sci.
Changsen Yuan, Heyan Huang, Chong Feng, Ge Shi, Xiaochi Wei
2021 J jnl
Multi-Graph Cooperative Learning Towards Distant Supervised Relation Extraction.
ACM Trans. Intell. Syst. Technol.
Changsen Yuan, Heyan Huang, Chong Feng
2020 J jnl
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition.
CoRR
Xiao Liu, Heyan Huang, Yue Zhang, Changsen Yuan
2019 A* conf
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding.
AAAI
Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei
2018 J jnl
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding.
CoRR
Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei