Changsen Yuan

According to our database, Changsen Yuan authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

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

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