Publications (110)
A Comprehensive Dynamic Simulation Framework for Coupled Neuromusculoskeletal-Exoskeletal Systems
Wei Jin, Jiaqi Liu, Qiwei Zhang +4
Automated Self-Supervised Learning for Graphs
Wei Jin, Xiaorui Liu, Xiangyu Zhao +3
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Juntong Ni, Zewen Liu, Shiyu Wang +2
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Yu Song, Haitao Mao, Jiachen Xiao +6
All-fiber hydrogen sensor based on stimulated Raman gain spectroscopy with a 1550 nm hollow-core fiber
Fan Yang, Wei Jin
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen, Haitao Mao, Jingzhe Liu +8
Graph Trend Filtering Networks for Recommendations
Wenqi Fan, Xiaorui Liu, Wei Jin +3
A note on the second-largest number of dissociation sets in connected graphs
Pingshan Li, Ke Yang, Wei Jin
Spectral-Aware Augmentation for Enhanced Graph Representation Learning
Kaiqi Yang, Haoyu Han, Wei Jin +1
Amply regular graphs with $μ$ close to half the valency and group divisible designs
Wei Jin, Jack H. Koolen, Chenhui Lv
Learning Representations for Hyper-Relational Knowledge Graphs
Harry Shomer, Wei Jin, Juanhui Li +2
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Enyan Dai, Wei Jin, Hui Liu +1
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan, Wei Jin, Xiaorui Liu +7
Identifying Critical LMS Features for Predicting At-risk Students
Ying Guo, Cengiz Gunay, Sairam Tangirala +4
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Zhiyuan Zhao, Juntong Ni, Shangqing Xu +3
Graph Neural Networks for Multimodal Single-Cell Data Integration
Hongzhi Wen, Jiayuan Ding, Wei Jin +3
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
Haochen Liu, Wei Jin, Hamid Karimi +2
A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV
Wei Jin, Yang Ni, Leah H. Rubin +2
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu +1
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
Juntong Ni, Shiyu Wang, Zewen Liu +4
A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+)
Minxiao Wang, Saurabh Kataria, Juntong Ni +15
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Max S. Y. Lau +2
Condensing Graphs via One-Step Gradient Matching
Wei Jin, Xianfeng Tang, Haoming Jiang +4
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
Jiancheng Dong, Lei Jiang, Wei Jin +1
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
Juanhui Li, Haoyu Han, Zhikai Chen +4
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao, Wei Jin, Yozen Liu +5
Improving Efficiency and Scalability of Formula-based Debugging
Wei Jin, Alessandro Orso
Bayesian Causal Discovery with Cycles and Latent Confounders
Wei Jin, Lang Lang, Amanda B. Spence +2
Two-arc-transitive bicirculants
Wei Jin
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Zhikai Chen, Haitao Mao, Hang Li +8
Elastic Graph Neural Networks
Xiaorui Liu, Wei Jin, Yao Ma +5
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
Kai Guo, Hongzhi Wen, Wei Jin +3
Classification of two-distance-transitive Cayley graphs of the semi-dihedral groups
Wei Jin, Cai Xia Li, Ping Shan Li
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Wei Jin, Xiaorui Liu, Yao Ma +2
Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study on Walking
Chunzhi Yi, Xiaolei Sun, Chunyu Zhang +4
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
Kai Guo, Zewen Liu, Zhikai Chen +4
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin, Tong Zhao, Jiayuan Ding +3
Learning Cardiac Latent Representations in Vectorcardiogram Space
Bosong Huang, Panzhen Zhao, Zengxiang Li +5
An Empirical Study of Agent Skills for Healthcare: Practice, Gaps, and Governance
Gelei Xu, Ningzhi Tang, Xueyang Li +4
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao, Zhikai Chen, Wei Jin +5
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Zewen Liu, Xiaoda Wang, Bohan Wang +3
Suspended waveguide-enhanced near-infrared photothermal spectroscopy for ppb-level molecular gas sensing on a chalcogenide chip
Kaiyuan Zheng, Hanyu Liao, Fengbo Han +11
Learning Feature Representations for Keyphrase Extraction
Corina Florescu, Wei Jin
EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
Mingyang Wei, Dehai Min, Zewen Liu +8
Graph Feature Gating Networks
Wei Jin, Xiaorui Liu, Yao Ma +3
A Review of Graph Neural Networks in Epidemic Modeling
Zewen Liu, Guancheng Wan, B. Aditya Prakash +2
Label-free Node Classification on Graphs with Large Language Models (LLMS)
Zhikai Chen, Haitao Mao, Hongzhi Wen +5
Node Similarity Preserving Graph Convolutional Networks
Wei Jin, Tyler Derr, Yiqi Wang +3
Bernoulli's type Law of Euler Equations on Sobolev Space in $\mathbb{R}^{3}$
Wei Jin, Xixia Ma
A classification of locally-quasiprimitive circulant digraphs
Wei Jin, Yu Xiang Jin, Cai Xia Li +1
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
Jun Zhou, Wei Jin, Mingjie Wang +3
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
Jun Zhou, Wei Jin, Mingjie Wang +3
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Expert
Gelei Xu, Yuying Duan, Zheyuan Liu +5
On Enriching the Levin-Wen model with Symmetry
Liang Chang, Meng Cheng, Shawn X. Cui +6
PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation
Juntong Ni, Saurabh Kataria, Shengpu Tang +3
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
Zewen Liu, Yunxiao Li, Mingyang Wei +3
On locally $n \times n$ grid graphs
Carmen Amarra, Wei Jin, Cheryl E. Praeger
Finite $s$-geodesic-transitive digraphs
Wei Jin
Line graphs and $2$-geodesic transitivity
Alice Devillers, Wei Jin, Cai Heng Li +1
Toward Degree Bias in Embedding-Based Knowledge Graph Completion
Harry Shomer, Wei Jin, Wentao Wang +1
Graph Condensation for Graph Neural Networks
Wei Jin, Lingxiao Zhao, Shichang Zhang +3
Globally Interpretable Graph Learning via Distribution Matching
Yi Nian, Yurui Chang, Wei Jin +1
STRUX: An LLM for Decision-Making with Structured Explanations
Yiming Lu, Yebowen Hu, Hassan Foroosh +2
Finite 2-arc-transitive strongly regular graphs and 3-geodesic-transitive graphs
Wei Jin, Cheryl E. Praeger
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Wei Jin, Haitao Mao, Zheng Li +17
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
Zewen Liu, Juntong Ni, Xianfeng Tang +4
A classification of two-distance-transitive Cayley graphs over the generalized quaternion groups
Wei Jin, Pingshan Li, Li Tan
Model of ultrafast demagnetization driven by spin-orbit coupling in a photoexcited antiferromagnetic insulator Cr2O3
Feng Guo, Na Zhang, Wei Jin +1
On distance, geodesic and arc transitivity of graphs
Alice Devillers, Wei Jin, Cai Heng Li +1
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu, Hejie Cui, Yue Yu +6
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
Shengbo Gong, Juntong Ni, Noveen Sachdeva +2
Dual slow-light enhanced photothermal gas spectroscopy on a silicon chip
Kaiyuan Zheng, Zihang Peng, Hanyu Liao +7
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao, Wei Jin, Leman Akoglu +1
An Adaptive Machine Learning Triage Framework for Predicting Alzheimer's Disease Progression
Richard Hou, Shengpu Tang, Wei Jin
Sub-graph Based Diffusion Model for Link Prediction
Hang Li, Wei Jin, Geri Skenderi +4
Finite 2-geodesic transitive graphs of prime valency
Alice Devillers, Wei Jin, Cai Heng Li +1
A Theoretical Framework for Bayesian Nonparametric Regression
Fangzheng Xie, Wei Jin, Yanxun Xu
Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals
Saurabh Kataria, Yi Wu, Zhaoliang Chen +21
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang +5
Single-Cell Multimodal Prediction via Transformers
Wenzhuo Tang, Hongzhi Wen, Renming Liu +5
Scalable Graph Condensation with Evolving Capabilities
Shengbo Gong, Mohammad Hashemi, Juntong Ni +2
Asymmetrical Siamese Network for Point Clouds Normal Estimation
Wei Jin, Jun Zhou, Nannan Li +2
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Wei Jin, Yaxin Li, Han Xu +4
Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes
Zewen Liu, Juntong Ni, Bohan Wang +2
Vertex quasiprimitive two-geodesic transitive graphs
Wei Jin
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin, Tyler Derr, Haochen Liu +4
Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling
Songyuan Liu, Shengbo Gong, Tianning Feng +3
RIS-based Over-the-air Diffractional Channel Coding
Yingzhe Hui, Shuyi Chen, Yifan Qin +3
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
Bohan Wang, Yurui Chang, Wei Jin +1
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi, Wei Jin, Charu Aggarwal +1
Test-Time Training for Graph Neural Networks
Yiqi Wang, Chaozhuo Li, Wei Jin +4
Arc-transitive bicirculants
Alice Devillers, Michael Giudici, Wei Jin
Deep Learning in Single-Cell Analysis
Dylan Molho, Jiayuan Ding, Zhaoheng Li +12
STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning
Juntong Ni, Shiyu Wang, Qi He +2
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin, Yao Ma, Xiaorui Liu +3
Finite 2-distance transitive graphs
Brian P. Corr, Wei Jin, Csaba Schneider
EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts
Yiming Lu, Sihang Zeng, Zhengxu Tang +3
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
Hongzhi Wen, Wenzhuo Tang, Wei Jin +7
Customized Graph Neural Networks
Yiqi Wang, Yao Ma, Wei Jin +3
Localized Graph Collaborative Filtering
Yiqi Wang, Chaozhuo Li, Mingzheng Li +5