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Journal Articles
- 2024
[j8]Shengpeng Yu, Hong Wang
, Meifang Hua, Cheng Liang, Yanshen Sun:
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. Expert Syst. Appl. 252: 124092 (2024)- [j7]Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun:
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 45-56 (2024) - 2023
- [j6]Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun:
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. Expert Syst. Appl. 234: 121016 (2023) - [j5]Shuangyong Zhang, Hong Wang, Zixi Zheng, Tianyu Liu, Weixin Li, Zishan Zhang, Yanshen Sun:
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals. Int. J. Neural Syst. 33(11): 2350055:1-2350055:17 (2023) - [j4]Luhe Zhuang, Hong Wang, Jun Zhao, Yanshen Sun:
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction. Inf. Sci. 642: 119139 (2023) - [j3]Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun:
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3469-3481 (2023) - 2022
- [j2]Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu:
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 4729-4742 (2022) - 2014
- [j1]Hong Wang, Yanshen Sun:
Applying Bi-directional Link Mining in Personalized Recommendation. J. Softw. 9(8): 2223-2231 (2014)
Conference and Workshop Papers
- 2024
- [c8]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. ICRA 2024: 2596-2602 - 2023
- [c7]Yanshen Sun, Jianger Yu, Chang-Tien Lu:
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks. BIBM 2023: 1429-1436 - [c6]Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. IEEE Big Data 2023: 895-904 - [c5]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. SIGSPATIAL/GIS 2023: 80:1-80:4 - [c4]Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao:
Infinitely Deep Graph Transformation Networks. ICDM 2023: 778-787 - 2022
- [c3]Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu:
Twitter Bot Identification: An Anomaly Detection Approach. IEEE Big Data 2022: 3577-3585 - 2020
- [c2]Yanshen Sun, Nicholas F. Polys:
The Scalability of X3D4 PointProperties: Benchmarks on WWW Performance. Web3D 2020: 12:1-12:8 - 2015
- [c1]Hong Wang, Yanshen Sun:
Dynamic Multi-relational Networks Integration and Extended Link Prediction Method. IScIDE (2) 2015: 193-203
Informal and Other Publications
- 2024
- [i6]Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu:
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges. CoRR abs/2403.18249 (2024) - [i5]Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu:
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction. CoRR abs/2409.08281 (2024) - [i4]Feiyan Feng, Tianyu Liu, Hong Wang, Jun Zhao, Wei Li, Yanshen Sun:
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation. CoRR abs/2410.17812 (2024) - 2023
- [i3]Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR abs/2303.12238 (2023) - [i2]Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu:
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain. CoRR abs/2306.08871 (2023) - [i1]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR abs/2309.17437 (2023)
Coauthor Index
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