Applying Bi-directional Link Mining in Personalized Recommendation. - Hong Wang 015; Yanshen Sun (J. Softw., 2014)

Dynamic Multi-relational Networks Integration and Extended Link Prediction Method. - Hong Wang 015; Yanshen Sun (IScIDE (2), 2015)

The Scalability of X3D4 PointProperties: Benchmarks on WWW Performance. - Yanshen Sun; Nicholas F. Polys (Web3D, 2020)

Twitter Bot Identification: An Anomaly Detection Approach. - Lulwah Alkulaib; Lei Zhang 158; Yanshen Sun; Chang-Tien Lu (IEEE Big Data, 2022)

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. - Yanshen Sun; Yen-Cheng Lu; Kaiqun Fu; Fanglan Chen; Chang-Tien Lu (J. King Saud Univ. Comput. Inf. Sci., 2022)

LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks. - Yanshen Sun; Jianger Yu; Chang-Tien Lu (BIBM, 2023)

RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. - Yanshen Sun; Kaiqun Fu; Chang-Tien Lu (IEEE Big Data, 2023)

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. - Siji Chen; Yanshen Sun; Peihan Li; Lifeng Zhou; Chang-Tien Lu (SIGSPATIAL/GIS, 2023)

Infinitely Deep Graph Transformation Networks. - Lei Zhang 158; Qisheng Zhang; Zhiqian Chen; Yanshen Sun; Chang-Tien Lu; Liang Zhao 002 (ICDM, 2023)

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. - Yanshen Sun; Kaiqun Fu; Chang-Tien Lu (CoRR, 2023)

Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain. - Yanshen Sun; Jianfeng He; Shuo Lei; Limeng Cui; Chang-Tien Lu (CoRR, 2023)

Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction. - Luhe Zhuang; Hong Wang 015; Jun Zhao 017; Yanshen Sun (Inf. Sci., 2023)

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. - Enhao Cheng; Jun Zhao 017; Hong Wang 015; Shuguang Song; Shuxian Xiong; Yanshen Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals. - Shuangyong Zhang; Hong Wang 015; Zixi Zheng; Tianyu Liu; Weixin Li; Zishan Zhang; Yanshen Sun (Int. J. Neural Syst., 2023)

EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. - Zixi Zheng; Hong Wang 015; Yanyan Tan; Cheng Liang 001; Yanshen Sun (Expert Syst. Appl., 2023)

Empowering Cross-Patient Epilepsy Diagnosis from Diverse-Sampling Low-Quality EEG Signals. - Yanshen Sun; Jianger Yu; Chang-Tien Lu (BIBM, 2024)

Downscaling Precipitation with Bias-informed Conditional Diffusion Model. - Ran Lyu; Linhan Wang; Yanshen Sun; Hedanqiu Bai; Chang-Tien Lu (IEEE Big Data, 2024)

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. - Siji Chen; Yanshen Sun; Peihan Li; Lifeng Zhou; Chang-Tien Lu (ICRA, 2024)

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges. - Yanshen Sun; Jianfeng He; Limeng Cui; Shuo Lei; Chang-Tien Lu (CoRR, 2024)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction. - Shengkun Wang; Taoran Ji; Linhan Wang; Yanshen Sun; Shang-Ching Liu; Amit Kumar; Chang-Tien Lu (CoRR, 2024)

PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation. - Feiyan Feng; Tianyu Liu; Hong Wang 015; Jun Zhao 017; Wei Li 249; Yanshen Sun (CoRR, 2024)

Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. - Shengpeng Yu; Hong Wang 015; Meifang Hua; Cheng Liang 001; Yanshen Sun (Expert Syst. Appl., 2024)

A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. - Shengpeng Yu; Hong Wang 015; Jing Li; Jun Zhao 017; Cheng Liang 001; Yanshen Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction. - Wei Li 249; Tianyu Liu; Feiyan Feng; Shengpeng Yu; Hong Wang 015; Yanshen Sun (IEEE J. Biomed. Health Informatics, 2024)

Integrating clinicopathologic information and dynamic contrast-enhanced MRI for augmented prediction of neoadjuvant chemotherapy response in breast cancer. - Tianyu Liu; Hong Wang 015; Feiyan Feng; Wei Li 249; Fulin Zheng; Kai Wu; Shengpeng Yu; Yanshen Sun (Biomed. Signal Process. Control., 2025)

Multi-granularity physicochemical-inspired molecular representation learning for property prediction. - Kai Guan; Hong Wang 015; Luhe Zhuang; Yanshen Sun (Expert Syst. Appl., 2025)

LLM-enhanced multi-level knowledge distillation for molecular property prediction. - Luhe Zhuang; Yanshen Sun; Jun Zhao 017; Yue Lu; Hong Wang 015 (Knowl. Based Syst., 2025)

Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression. - Kai Wu; Hong Wang 015; Feiyan Feng; Tianyu Liu; Yanshen Sun (Neural Networks, 2025)

HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset. - Shengkun Wang; Yanshen Sun; Fanglan Chen; Linhan Wang; Naren Ramakrishnan; Chang-Tien Lu; Yinlin Chen (CoRR, 2025)

Implicit graph neural network for deep graph transformation. - Lei Zhang 158; Qisheng Zhang; Zhiqian Chen; Yanshen Sun; Chang-Tien Lu; Liang Zhao 002 (Knowl. Inf. Syst., 2025)