| 2026 | AAAI | GIER: Addressing Class Imbalance in GNNs Through Experience Replay. | Liu Yang, Chuyao Liu, Zidong Wang, Tingxuan Chen, Mengni Chen, Hongyu Zhang |
| 2026 | AAAI | HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification. | Hao Zheng, Meiguang Zheng, Zhigang Hu, Liu Yang, Aikun Xu, Tingxuan Chen, Rongchang Zhao, Boyu Wang |
| 2025 | CIKM | TCPN: Temporal Pyramidal Recurrent Network with Contrastive Learning for Temporal Knowledge Graph Reasoning. | Liu Yang, Zixuan Luo, Tingxuan Chen, Zidong Wang, Limin Liu |
| 2025 | DASFAA | Heterogeneous Feature-Aware Graph Neural Network for Tabular Data. | Hongxiao Fei, Jinqi Hu, Liu Yang, Tingxuan Chen, Huayou Su, Zanqun Liu |
| 2025 | ICASSP | Enhancing Extrapolation Reasoning on Temporal Knowledge Graphs with Logic Rules and Queries. | Tingxuan Chen, Liu Yang, Zidong Wang, Shuai Luo, Jun Long |
| 2025 | ICASSP | Enhancing Session-Based Recommendation with Hypergraph Motifs and Contrastive Learning. | Tingxuan Chen, Liu Yang, Zidong Wang, Guohui Li, Jun Long |
| 2025 | MICCAI | Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement. | Kun Yuan, Tingxuan Chen, Shi Li, Jol L. Lavanchy, Christian Heiliger, Ege zsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy |
| 2025 | PAKDD | A Hypergraph Neural Network with Motif Interaction Enhancement. | Jun Long, Shijia Ji, Zidong Wang, Tingxuan Chen, Liu Yang |
| 2024 | IJCNN | Separate and Integrate Different Level Reasoning for Event Causality Identification. | Yuchang Deng, Wenti Huang, Tingxuan Chen, Jun Long |
| 2024 | NAACL | HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. | Tingxuan Chen, Jun Long, Liu Yang, Zidong Wang, Yongheng Wang, Xiongnan Jin |
| 2023 | ADMA | Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction. | Tingxuan Chen, Jun Long, Liu Yang, Guohui Li, Shuai Luo, Meihong Xiao |
| 2023 | WISE | Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction. | Liu Yang, Jie Zhao, Jun Long, Jincai Huang, Zidong Wang, Tingxuan Chen |
| 2022 | ISPA | Spatio-Temporal Aware Knowledge Graph Embedding for Recommender Systems. | Liu Yang, Xin Yin, Jun Long, Tingxuan Chen, Jie Zhao, Wenti Huang |
| 2022 | KSEM | Attending to SPARQL Logs for Knowledge Representation Learning. | Liu Yang, Bingyuan Xie, Jun Long, Wenti Huang, Shuyi Liu, Tingxuan Chen |
| 2022 | PRICAI | Parameter-Lite Adapter for Dynamic Entity Alignment. | Meihong Xiao, Tingxuan Chen, Zidong Wang, Jun Long, Jincai Huang, Liu Yang |
| 2022 | PRICAI | MF-TagRec: Multi-feature Fused Tag Recommendation for GitHub. | Liu Yang, Ruo Yang, Tingxuan Chen, Hongxiao Fei, Jiuqi Tang |
| 2020 | APWEB | Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. | Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng |
| 2020 | ISPA | Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. | Liu Yang, Junyu Zhang, Tingxuan Chen, Wuji Lei, Xiaolong Liu |