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2020 – today
- 2026
[j10]Chenhao Li, Wenti Huang, Xi Yu, Tingxuan Chen
, Jun Long:
Adaptive weighted temporal prototype network for multimodal emotion recognition. Inf. Process. Manag. 63(3): 104533 (2026)- [c23]Hao Zheng, Meiguang Zheng, Zhigang Hu, Liu Yang, Aikun Xu, Tingxuan Chen, Rongchang Zhao, Boyu Wang:
HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification. AAAI 2026: 13387-13395 - [c22]Liu Yang, Chuyao Liu, Zidong Wang, Tingxuan Chen, Mengni Chen, Hongyu Zhang:
GIER: Addressing Class Imbalance in GNNs Through Experience Replay. AAAI 2026: 16110-16118 - 2025
- [j9]Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Text-driven adaptation of foundation models for few-shot surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 20(6): 1175-1183 (2025) - [j8]Chenhao Li, Wenti Huang, Yunfei Chen, Tingxuan Chen, Zhan Yang, Jun Long:
PMN: A prototype network based metric framework for solving aspect-based sentiment analysis tasks. Neurocomputing 653: 131155 (2025) - [j7]Anchi Shi, Liuyuan Zhao, Xiaoying Lu, Hongpin Gao, Tingxuan Chen, Bing Zhao, Xiaohui Chen, Zhongcheng Zhang:
Research on surface deformation recognition technology based on UAV inspection and InSAR data. J. Comput. Methods Sci. Eng. 25(5): 4488-4504 (2025) - [j6]Jun Long, Zidong Wang, Tingxuan Chen, Yang Liu:
Improving hierarchical graph pooling with information bottleneck. J. King Saud Univ. Comput. Inf. Sci. 37(3) (2025) - [j5]Zidong Wang, Liu Yang, Tingxuan Chen, Jun Long:
Clustering matrix regularization guided hierarchical graph pooling. Knowl. Based Syst. 311: 113108 (2025) - [j4]Tingxuan Chen, Liu Yang, Zidong Wang, Jun Long:
A rule- and query-guided reinforcement learning for extrapolation reasoning in temporal knowledge graphs. Neural Networks 185: 107186 (2025) - [j3]Bo Yin, Peng Zhang, Tingxuan Chen:
Efficient State Sharding in Blockchain via Density-based Graph Partitioning. ACM Trans. Web 19(1): 1:1-1:28 (2025) - [c21]Zhenxi Lu, Tingxuan Chen, Jun Long, Zidong Wang, Liu Yang:
HTRGN: Hybrid Temporal-Aware and Relation-Enhanced Graph Neural Network for Extrapolation Reasoning in Temporal Knowledge Graphs. IEEE Big Data 2025: 579-588 - [c20]Liu Yang, Zixuan Luo, Tingxuan Chen, Zidong Wang, Limin Liu:
TCPN: Temporal Pyramidal Recurrent Network with Contrastive Learning for Temporal Knowledge Graph Reasoning. CIKM 2025: 3794-3804 - [c19]Hongxiao Fei, Jinqi Hu, Liu Yang, Tingxuan Chen, Huayou Su, Zanqun Liu:
Heterogeneous Feature-Aware Graph Neural Network for Tabular Data. DASFAA (3) 2025: 307-316 - [c18]Tingxuan Chen, Liu Yang, Zidong Wang, Shuai Luo, Jun Long:
Enhancing Extrapolation Reasoning on Temporal Knowledge Graphs with Logic Rules and Queries. ICASSP 2025: 1-5 - [c17]Tingxuan Chen, Liu Yang, Zidong Wang, Guohui Li, Jun Long:
Enhancing Session-Based Recommendation with Hypergraph Motifs and Contrastive Learning. ICASSP 2025: 1-5 - [c16]Jun Long, Zidong Wang, Tingxuan Chen, Liu Yang:
Hierarchical Text Graph Learning for Inductive Text Classification. ICIC (21) 2025: 489-500 - [c15]Liu Yang, Mengni Chen, Tingxuan Chen, Jinqi Hu, Zidong Wang:
GraphDEH: Graph Diffusion Enhanced Hypergrpah Method for Class-Imbalanced Node Classification. ICME 2025: 1-6 - [c14]Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy:
Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement. MICCAI (9) 2025: 467-477 - [c13]Jun Long, Shijia Ji, Zidong Wang, Tingxuan Chen, Liu Yang:
A Hypergraph Neural Network with Motif Interaction Enhancement. PAKDD (3) 2025: 383-394 - [i2]Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis. CoRR abs/2501.09555 (2025) - [i1]Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy:
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. CoRR abs/2506.20254 (2025) - 2024
- [j2]Zhihai Li, Anchi Shi, Xinran Li, Jie Dou, Sijia Li, Tingxuan Chen, Tao Chen:
Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics. Remote. Sens. 16(6): 992 (2024) - [j1]Tingxuan Chen, Jun Long, Zidong Wang, Shuai Luo, Jincai Huang, Liu Yang:
THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 36(12): 9374-9387 (2024) - [c12]Ruoyao Huang, Tingxuan Chen, Ling Zhu, Kwai Hei Li:
Optodevice-in-Sphere for Biaxial Tilt Sensing. IEEE SENSORS 2024: 1-4 - [c11]Yuchang Deng, Wenti Huang, Tingxuan Chen, Jun Long:
Separate and Integrate Different Level Reasoning for Event Causality Identification. IJCNN 2024: 1-8 - [c10]Tingxuan Chen, Jun Long, Liu Yang, Zidong Wang, Yongheng Wang, Xiongnan Jin:
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. NAACL-HLT 2024: 4056-4066 - 2023
- [c9]Tingxuan Chen, Jun Long, Liu Yang, Guohui Li, Shuai Luo, Meihong Xiao:
Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction. ADMA (2) 2023: 107-121 - [c8]Jun Long, Junkun Hong, Zidong Wang, Tingxuan Chen, Yunfei Chen, Yang Liu:
SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network. BIBM 2023: 586-593 - [c7]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. WISE 2023: 409-424 - 2022
- [c6]Liu Yang, Xin Yin, Jun Long, Tingxuan Chen, Jie Zhao, Wenti Huang:
Spatio-Temporal Aware Knowledge Graph Embedding for Recommender Systems. ISPA/BDCloud/SocialCom/SustainCom 2022: 896-902 - [c5]Liu Yang, Bingyuan Xie, Jun Long, Wenti Huang, Shuyi Liu, Tingxuan Chen:
Attending to SPARQL Logs for Knowledge Representation Learning. KSEM (1) 2022: 386-399 - [c4]Liu Yang, Ruo Yang, Tingxuan Chen, Hongxiao Fei, Jiuqi Tang:
MF-TagRec: Multi-feature Fused Tag Recommendation for GitHub. PRICAI (3) 2022: 17-31 - [c3]Meihong Xiao, Tingxuan Chen, Zidong Wang, Jun Long, Jincai Huang, Liu Yang:
Parameter-Lite Adapter for Dynamic Entity Alignment. PRICAI (1) 2022: 389-400 - 2020
- [c2]Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng:
Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. APWeb/WAIM (1) 2020: 145-153 - [c1]Liu Yang, Junyu Zhang, Tingxuan Chen, Wuji Lei, Xiaolong Liu:
Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. ISPA/BDCloud/SocialCom/SustainCom 2020: 633-640
Coauthor Index
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