Yanshen Sun

39 papers A* 2B 3Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cromdbn: Dynamic brain network analysis for neuropsychiatric diseases classification via multi-knowledge integration.
Pattern Recognit.
Kai Wu, Hong Wang, Fulin Zheng, Feiyan Feng, Tianyu Liu, Yanshen Sun
2026 J jnl
Dual-stage learning framework fusing semantics and physical knowledge for molecular property prediction.
Appl. Soft Comput.
Luhe Zhuang, Yanshen Sun, Jun Zhao, Hong Wang
2026 J jnl
Dynamic hierarchical memory improved mixture-of-experts for multimodal fake news detection.
Inf. Process. Manag.
Yihong Meng, Hong Wang, Jun Zhao, Yanshen Sun, Minglai Shao
2026 J jnl
Efficient breast cancer segmentation via Brownian Bridge diffusion with semantic fusion strategy.
Pattern Recognit.
Feiyan Feng, Tianyu Liu, Fulin Zheng, Yanshen Sun, Hong Wang
2026 J jnl
MT-DiffGen: Unifying affinity prediction and target-aware molecule generation with a multi-task diffusion model.
Knowl. Based Syst.
Shiping Li, Hong Wang, Tao Hu, Luhe Zhuang, Jun Zhao, Yuhuang Sheng, Yanshen Sun
2025 J jnl
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset.
CoRR
Shengkun Wang, Yanshen Sun, Fanglan Chen, Linhan Wang, Naren Ramakrishnan, Chang-Tien Lu, Yinlin Chen
2025 J jnl
Implicit graph neural network for deep graph transformation.
Knowl. Inf. Syst.
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2025 J jnl
Integrating clinicopathologic information and dynamic contrast-enhanced MRI for augmented prediction of neoadjuvant chemotherapy response in breast cancer.
Biomed. Signal Process. Control.
Tianyu Liu, Hong Wang, Feiyan Feng, Wei Li, Fulin Zheng, Kai Wu, Shengpeng Yu, Yanshen Sun
2025 J jnl
LLM-enhanced multi-level knowledge distillation for molecular property prediction.
Knowl. Based Syst.
Luhe Zhuang, Yanshen Sun, Jun Zhao, Yue Lu, Hong Wang
2025 — conf
MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss.
SIGSPATIAL/GIS
Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu
2025 J jnl
MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss.
CoRR
Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu
2025 J jnl
Multi-granularity physicochemical-inspired molecular representation learning for property prediction.
Expert Syst. Appl.
Kai Guan, Hong Wang, Luhe Zhuang, Yanshen Sun
2025 J jnl
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression.
Neural Networks
Kai Wu, Hong Wang, Feiyan Feng, Tianyu Liu, Yanshen Sun
2024 J jnl
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun
2024 J jnl
BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction.
IEEE J. Biomed. Health Informatics
Wei Li, Tianyu Liu, Feiyan Feng, Shengpeng Yu, Hong Wang, Yanshen Sun
2024 B conf
Downscaling Precipitation with Bias-informed Conditional Diffusion Model.
IEEE Big Data
Ran Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai, Chang-Tien Lu
2024 J jnl
Downscaling Precipitation with Bias-informed Conditional Diffusion Model.
CoRR
Ran Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai, Chang-Tien Lu
2024 — conf
Empowering Cross-Patient Epilepsy Diagnosis from Diverse-Sampling Low-Quality EEG Signals.
BIBM
Yanshen Sun, Jianger Yu, Chang-Tien Lu
2024 J jnl
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.
CoRR
Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu
2024 A* conf
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
ICRA
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2024 J jnl
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation.
CoRR
Feiyan Feng, Tianyu Liu, Hong Wang, Jun Zhao, Wei Li, Yanshen Sun
2024 J jnl
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction.
Expert Syst. Appl.
Shengpeng Yu, Hong Wang, Meifang Hua, Cheng Liang, Yanshen Sun
2024 J jnl
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction.
CoRR
Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu
2023 J jnl
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction.
Inf. Sci.
Luhe Zhuang, Hong Wang, Jun Zhao, Yanshen Sun
2023 J jnl
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks.
CoRR
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
2023 J jnl
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun
2023 J jnl
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention.
Expert Syst. Appl.
Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun
2023 A* conf
Infinitely Deep Graph Transformation Networks.
ICDM
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2023 J jnl
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
CoRR
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2023 — conf
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks.
BIBM
Yanshen Sun, Jianger Yu, Chang-Tien Lu
2023 J jnl
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain.
CoRR
Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu
2023 J jnl
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals.
Int. J. Neural Syst.
Shuangyong Zhang, Hong Wang, Zixi Zheng, Tianyu Liu, Weixin Li, Zishan Zhang, Yanshen Sun
2023 B conf
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction.
IEEE Big Data
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
2023 — conf
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms.
SIGSPATIAL/GIS
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2022 J jnl
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.
J. King Saud Univ. Comput. Inf. Sci.
Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu
2022 B conf
Twitter Bot Identification: An Anomaly Detection Approach.
IEEE Big Data
Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu
2020 — conf
The Scalability of X3D4 PointProperties: Benchmarks on WWW Performance.
Web3D
Yanshen Sun, Nicholas F. Polys
2015 — conf
Dynamic Multi-relational Networks Integration and Extended Link Prediction Method.
IScIDE (2)
Hong Wang, Yanshen Sun
2014 J jnl
Applying Bi-directional Link Mining in Personalized Recommendation.
J. Softw.
Hong Wang, Yanshen Sun