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[1]Chen Tingxuan, Long Jun*, Wang Zidong, Luo Shuai, Huang Jincai, Yang Liu*. THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs [J]. IEEE Transactions on Knowledge & Data Engineering, 2024( 01): 1-14, PrePrints 5555. (CCF A).TKDE
[2]Tingxuan Chen, Jun Long*, Liu Yang*, Zidong Wang, Yongheng Wang, and Xiongnan Jin. HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs [C]. 2024 The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico City, Mexico, June 16–21, 2024. (CCF B)
[3]Jun Long, Junkun Hong, Zidong Wang, Tingxuan Chen, Yunfei Chen, Liu Yang*. SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network [C]. 2023 IEEE BIBM，Istanbul, Turkey, 5-8 December, 2023. (CCF B）
[4]Liu Yang, Zhenjie Wu, Junkun Hong, Jun Long. MCL: A Contrastive Learning Method for Multimodal Data Fusion in Violence Detection[J]. IEEE Signal Processing Letters, 2023, 30: 408-412. (SCI, JCR 2区, IF: 3.201)
[5]Liu Yang, Yu Jiang, Junkun Hong, Zhenjie Wu, Zhan Yang, Jun Long. STACKING-BASED ATTENTION TEMPORAL CONVOLUTIONAL NETWORK FOR ACTION SEGMENTATION [C]. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, 4-10 June, 2023. (CCF B类)
[6]Liu Yang, Kaiting Zhang, Yinan Li, Yunfei Chen, Jun Long, Zhan Yang*. S3ACH: Semi-Supervised Semantic Adaptive Cross-modal Hashing [C]. The 30th International Conference on Neural Information Processing (ICONIP2023), Changsha, China, November 20-23, 2023.
[7]Liu Yang, Jie Zhao, Jun Long, Jincai Huang, Zidong Wang, Tingxuan Chen*. Path-KGE: Preference-aware Knowledge Graph Embedding with Path Semantics for Link Prediction[C]. The 24nd International Conference on Web Information Systems Engineering (WISE 2023), Melbourne, VIC, Australia, October 26–29, 2023.
[8]Tingxuan Chen, Jun Long, Liu Yang*, Guohui Li, Shuai Luo, Meihong Xiao. Joint embedding of local structures and evolutionary patterns for temporal link prediction [C]. The 19th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA 2023), Shenyang, China, 21-23 August, 2023. (CCF C类，Oral报告)
[9]Meihong Xiao, Tingxuan Chen, Zidong Wang, Jun Long, Jincai Huang, Liu Yang*. Parameter-Lite Adapter for Dynamic Entity Alignment[C]. The 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023), Jakarta, Indonesia, November 17-19, 2023.
[10]Hongxiao Fei, Yangying Tan, Wenti Huang, Jun Long, Jincai Huang, Liu Yang*. A Multi-Teacher Knowledge Distillation Framework for Distantly Supervised Relation Extraction with Flexible Temperature [C]. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWEB-WAIM 2023), Wuhan, China, October 6-8, 2023.
[11]Jun Long, Quan Hong*, Liu Yang*. An Encoder-Decoder Method with Position-Aware for Printed Mathematical Expression Recognition. International Conference on Document Analysis and Recognition (ICDAR 2023), San José, California, USA, August 21-26, 2023.
[12]Liu Yang, Xin Yin, Jun Long, Tingxuan Chen, Jie Zhao, Wenti Huang. Spatio-Temporal Aware Knowledge Graph Embedding for Recommender Systems [C]. The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), Melbourne, Australia,17-19 December, 2022.
[13]Liu Yang, Guohui Li, Meihong Xiao, Shuai Luo, Yangying Tan, Ziqiang Tang, Shuai Mu. MultiAddIntent: Efficient RDF Data-Oriented Incremental Construction Concept Lattice Algorithm [C]. The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), Melbourne, Australia,17-19 December, 2022.
[14]Liu Yang, Ruo Yang, Tingxuan Chen*, Hongxiao Fei, Jiuqi Tang. MF-TagRec: Multi-Feature Fused Tag Recommendation for GitHub [J]. The 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022), November 10-13, 2022. (CCF C)
[15]Liu Yang*, Bingyuan Xie, Jun Long, Wenti Huang, Shuyi Liu and Tingxuan Chen*. Attending to SPARQL Logs for Knowledge Representation Learning [C]. The 15th International Conference on Knowledge Science, Engineering and Management (2022 KSEM), August 6-8, Singapore, 2022.
[16]Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-2020), England, UK, 17-19 December 2020 (CCF C, 大会报告)
[17]A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. APWeb-WAIM 2020, 2020.（CCF C类，大会报告）
[18]WLeidenRDF：RDF Data Query Method based on Semantic-Enhanced Graph-Clustering Algorithm. TASE 2020, 2020. (CCF C类，大会报告)
[19]Automatic Tagging for Open Source Software by Utilizing Package Dependency Information. TASE 2020, 2020. (CCF C类，大会报告)
[20]Jun Long, Zhifang Liao, Zhigang Hu, Tongyong Liu, Liu Yang.Min-Forest: Fast Reachability Indexing Approach for Large-Scale Graphs on Spark Platform [C]. 2018 the 25 th International Conference on Web Services (ICWS 2018). June 25th-30th, Seattle, USA. (CCF B类会议, 大会报告)

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