Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. - Liu Yang; Tingxuan Chen; Junyu Zhang; Jun Long; Zhigang Hu 001; Victor S. Sheng (APWeb/WAIM (1), 2020)

Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. - Liu Yang; Junyu Zhang; Tingxuan Chen; Wuji Lei; Xiaolong Liu (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Spatio-Temporal Aware Knowledge Graph Embedding for Recommender Systems. - Liu Yang; Xin Yin; Jun Long; Tingxuan Chen; Jie Zhao; Wenti Huang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Attending to SPARQL Logs for Knowledge Representation Learning. - Liu Yang; Bingyuan Xie; Jun Long; Wenti Huang; Shuyi Liu; Tingxuan Chen (KSEM (1), 2022)

Parameter-Lite Adapter for Dynamic Entity Alignment. - Meihong Xiao; Tingxuan Chen; Zidong Wang 005; Jun Long; Jincai Huang 002; Liu Yang (PRICAI (1), 2022)

MF-TagRec: Multi-feature Fused Tag Recommendation for GitHub. - Liu Yang; Ruo Yang; Tingxuan Chen; Hongxiao Fei; Jiuqi Tang (PRICAI (3), 2022)

Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction. - Tingxuan Chen; Jun Long; Liu Yang; Guohui Li; Shuai Luo; Meihong Xiao (ADMA (2), 2023)

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network. - Jun Long; Junkun Hong; Zidong Wang 005; Tingxuan Chen; Yunfei Chen 015; Yang Liu 099 (BIBM, 2023)

Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction. - Liu Yang; Jie Zhao; Jun Long; Jincai Huang 002; Zidong Wang 005; Tingxuan Chen (WISE, 2023)

Optodevice-in-Sphere for Biaxial Tilt Sensing. - Ruoyao Huang; Tingxuan Chen; Ling Zhu; Kwai Hei Li (IEEE SENSORS, 2024)

Separate and Integrate Different Level Reasoning for Event Causality Identification. - Yuchang Deng; Wenti Huang; Tingxuan Chen; Jun Long (IJCNN, 2024)

HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. - Tingxuan Chen; Jun Long; Liu Yang; Zidong Wang 005; Yongheng Wang; Xiongnan Jin (NAACL-HLT, 2024)

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics. - Zhihai Li; Anchi Shi; Xinran Li; Jie Dou; Sijia Li; Tingxuan Chen; Tao Chen 004 (Remote. Sens., 2024)

THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs. - Tingxuan Chen; Jun Long; Zidong Wang 005; Shuai Luo; Jincai Huang 002; Liu Yang (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Extrapolation Reasoning on Temporal Knowledge Graphs with Logic Rules and Queries. - Tingxuan Chen; Liu Yang; Zidong Wang 005; Shuai Luo; Jun Long (ICASSP, 2025)

Enhancing Session-Based Recommendation with Hypergraph Motifs and Contrastive Learning. - Tingxuan Chen; Liu Yang; Zidong Wang 005; Guohui Li; Jun Long (ICASSP, 2025)

Hierarchical Text Graph Learning for Inductive Text Classification. - Jun Long; Zidong Wang; Tingxuan Chen; Liu Yang (ICIC (21), 2025)

A Hypergraph Neural Network with Motif Interaction Enhancement. - Jun Long; Shijia Ji; Zidong Wang 005; Tingxuan Chen; Liu Yang (PAKDD (3), 2025)

PMN: A prototype network based metric framework for solving aspect-based sentiment analysis tasks. - Chenhao Li; Wenti Huang; Yunfei Chen 015; Tingxuan Chen; Zhan Yang 001; Jun Long (Neurocomputing, 2025)

Research on surface deformation recognition technology based on UAV inspection and InSAR data. - Anchi Shi; Liuyuan Zhao; Xiaoying Lu; Hongpin Gao; Tingxuan Chen; Bing Zhao; Xiaohui Chen; Zhongcheng Zhang (J. Comput. Methods Sci. Eng., 2025)

Improving hierarchical graph pooling with information bottleneck. - Jun Long; Zidong Wang 005; Tingxuan Chen; Yang Liu 099 (J. King Saud Univ. Comput. Inf. Sci., 2025)

Clustering matrix regularization guided hierarchical graph pooling. - Zidong Wang 005; Liu Yang; Tingxuan Chen; Jun Long (Knowl. Based Syst., 2025)

A rule- and query-guided reinforcement learning for extrapolation reasoning in temporal knowledge graphs. - Tingxuan Chen; Liu Yang; Zidong Wang 005; Jun Long (Neural Networks, 2025)

Efficient State Sharding in Blockchain via Density-based Graph Partitioning. - Bo Yin 004; Peng Zhang; Tingxuan Chen (ACM Trans. Web, 2025)

Text-driven adaptation of foundation models for few-shot surgical workflow analysis. - Tingxuan Chen; Kun Yuan 004; Vinkle Srivastav; Nassir Navab; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2025)

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. - Kun Yuan 004; Tingxuan Chen; Shi Li; Joël L. Lavanchy; Christian Heiliger; Ege Özsoy; Yiming Huang; Long Bai 008; Nassir Navab; Vinkle Srivastav; Hongliang Ren 001; Nicolas Padoy (CoRR, 2025)