Wei Xiang

37 papers A* 6B 1Journal 20Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
Automated Model Selection for Multivariate Time Series Forecasting.
WWW
Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu, Lingzhi Yi
2026 J jnl
Multiplex graph prompt learning and attentive fusion for event graph completion.
Neural Networks
Chao Liang, Bang Wang, Chuanhong Zhan, Wei Xiang
2026 A* conf
Unsupervised Subgraph Anomaly Detection Based on Pattern Collaboration.
WWW
Jiayang Sun, Shenghao Liu, Xianjun Deng, Wei Xiang, Meng Luo, Qiankun Zhang, Dandan Zheng
2025 J jnl
DAPrompt: deterministic assumption prompt learning for event causality identification.
Neural Comput. Appl.
Wei Xiang, Chuanhong Zhan, Qing Zhang, Bang Wang
2025 — conf
Evaluating Instructively Generated Statement by Large Language Models for Directional Event Causality Identification.
ACL (Findings)
Wei Xiang, Chuanhong Zhan, Qing Zhang, Bang Wang
2025 J jnl
Modeling correlated causal-effect structure with a hypergraph for document-level event causality identification.
Comput. Speech Lang.
Wei Xiang, Cheng Liu, Bang Wang
2025 J jnl
Modeling document causal structure with a hypergraph for event causality identification.
Neural Networks
Wei Xiang, Cheng Liu, Bang Wang
2024 — conf
Bias-Rectified Multi-way Learning with Data Augmentation for Implicit Discourse Relation Recognition.
NLPCC (1)
Ziwei Zheng, Chao Liang, Wei Xiang, Bang Wang
2024 — conf
Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection.
ACL (Findings)
Songtao Liu, Bang Wang, Wei Xiang, Han Xu, Minghua Xu
2024 J jnl
Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection.
CoRR
Songtao Liu, Bang Wang, Wei Xiang, Han Xu, Minghua Xu
2024 — conf
Identifying while Learning for Document Event Causality Identification.
ACL (1)
Cheng Liu, Wei Xiang, Bang Wang
2024 J jnl
Identifying while Learning for Document Event Causality Identification.
CoRR
Cheng Liu, Wei Xiang, Bang Wang
2024 A* conf
In-context Contrastive Learning for Event Causality Identification.
EMNLP
Chao Liang, Wei Xiang, Bang Wang
2024 J jnl
In-context Contrastive Learning for Event Causality Identification.
CoRR
Chao Liang, Wei Xiang, Bang Wang
2024 J jnl
Parsing and encoding interactive phrase structure for implicit discourse relation recognition.
Neural Comput. Appl.
Wei Xiang, Songtao Liu, Bang Wang
2024 — conf
Retrieval-Enhanced Template Generation for Template Extraction.
NLPCC (1)
Renyu Wang, Wei Xiang, Zhenhua Wang, Bang Wang
2024 — conf
What Would Happen Next? Predicting Consequences from An Event Causality Graph.
EMNLP (Findings)
Chuanhong Zhan, Wei Xiang, Liang Chao, Bang Wang
2024 J jnl
What Would Happen Next? Predicting Consequences from An Event Causality Graph.
CoRR
Chuanhong Zhan, Wei Xiang, Chao Liang, Bang Wang
2023 J jnl
A Survey of Implicit Discourse Relation Recognition.
ACM Comput. Surv.
Wei Xiang, Bang Wang
2023 J jnl
A graph-enhanced attention model for community detection in multiplex networks.
Expert Syst. Appl.
Bang Wang, Xiang Cai, Minghua Xu, Wei Xiang
2023 J jnl
A syntactic distance sensitive neural network for event argument extraction.
Appl. Intell.
Lu Dai, Bang Wang, Wei Xiang, Yijun Mo
2023 J jnl
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition.
CoRR
Bang Wang, Zhenglin Wang, Wei Xiang, Yijun Mo
2023 J jnl
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification.
CoRR
Wei Xiang, Chuanhong Zhan, Bang Wang
2023 A* conf
Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection.
EMNLP
Songtao Liu, Ziling Luo, Minghua Xu, Lixiao Wei, Ziyao Wei, Han Yu, Wei Xiang, Bang Wang
2023 J jnl
Modeling Character-Word Interaction via a Novel Mesh Transformer for Chinese Event Detection.
Neural Process. Lett.
Lu Dai, Bang Wang, Wei Xiang, Yijun Mo
2023 J jnl
RadarPDR: Radar-Assisted Indoor Pedestrian Dead Reckoning.
Sensors
Jianbiao He, Wei Xiang, Qing Zhang, Bang Wang
2023 — conf
TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition.
ACL (Findings)
Wei Xiang, Chao Liang, Bang Wang
2023 J jnl
TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition.
CoRR
Wei Xiang, Chao Liang, Bang Wang
2022 — conf
A Hybrid Semantic-Topic Co-encoding Network for Social Emotion Classification.
PAKDD (1)
Lu Dai, Bang Wang, Wei Xiang, Minghua Xu, Han Xu
2022 J jnl
A Survey of Implicit Discourse Relation Recognition.
CoRR
Wei Xiang, Bang Wang
2022 A* conf
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction.
EMNLP
Lu Dai, Bang Wang, Wei Xiang, Yijun Mo
2022 J jnl
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction.
CoRR
Lu Dai, Bang Wang, Wei Xiang, Yijun Mo
2022 B conf
ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition.
COLING
Wei Xiang, Zhenglin Wang, Lu Dai, Bang Wang
2022 — conf
Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition.
ACL (Findings)
Wei Xiang, Bang Wang, Lu Dai, Yijun Mo
2021 — conf
Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network.
NLPCC (2)
Lu Dai, Bang Wang, Wei Xiang, Yijun Mo
2019 J jnl
A Survey of Event Extraction From Text.
IEEE Access
Wei Xiang, Bang Wang
2019 A* conf
Encoding Syntactic Dependency and Topical Information for Social Emotion Classification.
SIGIR
Chang Wang, Bang Wang, Wei Xiang, Minghua Xu