Xiabing Zhou

49 papers A 3B 7C 1Misc 1Journal 18Unranked 17
YearRankTypeTitle / Venue / Authors
2025 B conf
COF: Adaptive Chain of Feedback for Comparative Opinion Quintuple Extraction.
COLING
Qingting Xu, Kaisong Song, Chaoqun Liu, Yangyang Kang, Xiabing Zhou, Jun Lin, Yu Hong
2025 — conf
DlGR-KB: Dual-Level Graph Reasoning with Key Block Decoupling for Multi-party Dialogue Reading Comprehension.
DASFAA (2)
Rui Cao, Xiabing Zhou, Min Zhang, Guodong Zhou
2025 B conf
Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance.
IJCNN
Xin Ju, Ye Zhang, Xiabing Zhou, Min Zhang
2025 J jnl
Mixture of Hybrid Prompts for Cross-Domain Aspect Sentiment Triplet Extraction.
IEEE Trans. Affect. Comput.
Fan Yang, Xiabing Zhou, Min Zhang, Guodong Zhou
2025 — conf
Unlocking the Advantage of Context Interaction via Bi-Graph Reasoning for Document-Level Aspect-Based Sentiment Analysis.
NLPCC (3)
Chenyan Yang, Xiabing Zhou, Guodong Zhou
2024 J jnl
Contrastive Learning Subspace for Text Clustering.
CoRR
Qian Yong, Chen Chen, Xiabing Zhou
2024 A conf
Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning.
ECAI
Gongzhen Hu, Yuanjun Liu, Xiabing Zhou, Min Zhang
2024 B conf
Internal-External Information Enhanced Causal Reasoning.
IJCNN
Yucheng Yao, Fan Yang, Kaiyue Wang, Xiabing Zhou
2024 — conf
LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection.
PAKDD (1)
Kaiyue Wang, Fan Yang, Yucheng Yao, Xiabing Zhou
2024 A conf
Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition.
CIKM
Zhipang Wang, Yu Hong, Yuxiang Lu, Xiabing Zhou, Jianmin Yao, Guodong Zhou
2024 — conf
M-HGN: Multi-information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension.
KSEM (2)
Xiaoqian Gao, Xiabing Zhou, Rui Cao, Min Zhang
2024 — conf
Structure and Behavior Dual-Graph Reasoning with Integrated Key-Clue Parsing for Multi-party Dialogue Reading Comprehension.
NLPCC (1)
Rui Cao, Xiabing Zhou, Guodong Zhou
2024 B conf
TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension.
IJCNN
Xiaoqian Gao, Xiabing Zhou, Rui Cao, Min Zhang
2023 — conf
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction.
KSEM (3)
Fan Yang, Mian Zhang, Gongzhen Hu, Xiabing Zhou
2023 J jnl
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction.
CoRR
Fan Yang, Mian Zhang, Gongzhen Hu, Xiabing Zhou
2023 Misc conf
Emotion Recognition in Conversation from Variable-Length Context.
ICASSP
Mian Zhang, Xiabing Zhou, Wenliang Chen, Min Zhang
2023 A conf
Friend-training: Learning from Models of Different but Related Tasks.
EACL
Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, Dong Yu
2023 J jnl
Friend-training: Learning from Models of Different but Related Tasks.
CoRR
Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, Dong Yu
2023 — conf
G-SPEED: General SParse Efficient Editing MoDel.
EMNLP (Findings)
Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang
2023 J jnl
G-SPEED: General SParse Efficient Editing MoDel.
CoRR
Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang
2023 J jnl
LPN: Label-Enhanced Prototypical Network for Legal Judgment Prediction.
Entropy
Junyi Chen, Yingjie Han, Xiabing Zhou, Hongying Zan, Qinglei Zhou
2022 J jnl
Emotion Recognition with Conversational Generation Transfer.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Hongchao Ma, Zhongqing Wang, Xiabing Zhou, Guodong Zhou, Qinglei Zhou
2022 — conf
Exploring Logographic Image for Chinese Aspect-based Sentiment Classification.
EMNLP (Findings)
Xiabing Zhou, Renjie Feng, Xiaotong Jiang, Zhongqing Wang
2022 J jnl
Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Junyi Chen, Lan Du, Ming Liu, Xiabing Zhou
2022 — ed.
Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part I
NLPCC (1)
Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou
2022 — ed.
Natural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, Proceedings, Part II
NLPCC (2)
Wei Lu, Shujian Huang, Yu Hong, Xiabing Zhou
2022 J jnl
Neural Emotion Detection via Personal Attributes.
J. Comput. Sci. Technol.
Xiabing Zhou, Zhong-Qing Wang, Xing-Wei Liang, Min Zhang, Guodong Zhou
2021 — conf
Emotion Classification with Explicit and Implicit Syntactic Information.
NLPCC (1)
Nan Chen, Qingrong Xia, Xiabing Zhou, Wenliang Chen, Min Zhang
2021 J jnl
Sentiment classification via user and product interactive modeling.
Sci. China Inf. Sci.
Xiabing Zhou, Zhongqing Wang, Min Zhou, Qifa Wang, Shoushan Li, Min Zhang, Guodong Zhou
2020 — conf
CMeIE: Construction and Evaluation of Chinese Medical Information Extraction Dataset.
NLPCC (1)
Tongfeng Guan, Hongying Zan, Xiabing Zhou, Hongfei Xu, Kunli Zhang
2020 J jnl
High-Capacity Reversible Data Hiding in Encrypted Images by Information Preprocessing.
Complex.
Xi-Yan Li, Xiabing Zhou, Qing-Lei Zhou, Shi-Jing Han, Zheng Liu
2020 J jnl
Mimic Encryption Box for Network Multimedia Data Security.
Secur. Commun. Networks
Xiabing Zhou, Bin Li, Yanrong Qi, Wanying Dong
2020 J jnl
Modelling the Mimic Defence Technology for Multimedia Cloud Servers.
Secur. Commun. Networks
Feng Feng, Xiabing Zhou, Bin Li, Qinglei Zhou
2020 B conf
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction.
COLING
Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang
2020 J jnl
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction.
CoRR
Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang
2019 — conf
Emotion Detection with Neural Personal Discrimination.
EMNLP/IJCNLP (1)
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang
2019 J jnl
Emotion Detection with Neural Personal Discrimination.
CoRR
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang
2019 — conf
Question Generation Based Product Information.
NLPCC (2)
Kang Xiao, Xiabing Zhou, Zhongqing Wang, Xiangyu Duan, Min Zhang
2017 J jnl
Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data.
Neurocomputing
Xiabing Zhou, Haikun Hong, Xingxing Xing, Kaigui Bian, Kunqing Xie, Mingliang Xu
2016 J jnl
Structure Feature Learning Method for Incomplete Data.
Int. J. Pattern Recognit. Artif. Intell.
Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie
2015 — conf
Hybrid Multi-metric K-Nearest Neighbor Regression for Traffic Flow Prediction.
ITSC
Haikun Hong, Wenhao Huang, Xingxing Xing, Xiabing Zhou, Hongyu Lu, Kaigui Bian, Kunqing Xie
2015 B conf
Improving deep neural network ensembles using reconstruction error.
IJCNN
Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie
2015 — conf
Incorporating temporal smoothness and group structure in learning with incomplete data.
FSKD
Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie
2015 J jnl
Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method.
IEEE Trans. Parallel Distributed Syst.
Guojie Song, Xiabing Zhou, Yu Wang, Kunqing Xie
2015 C conf
Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction.
ICMLA
Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie
2015 — conf
Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data.
WAIM
Xiabing Zhou, Haikun Hong, Xingxing Xing, Wenhao Huang, Kaigui Bian, Kunqing Xie
2015 B conf
Probabilistic dynamic causal model for temporal data.
IJCNN
Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song, Kunqing Xie
2015 — conf
Short-term traffic flow forecasting: Multi-metric KNN with related station discovery.
FSKD
Haikun Hong, Wenhao Huang, Xiabing Zhou, Sizhen Du, Kaigui Bian, Kunqing Xie
2015 — conf
Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis.
ITSC
Xingxing Xing, Xiabing Zhou, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie