Area of research
Artificial Intelligence · Information Systems
Research interest
Research interests include Topic Modeling, Advanced Graph Neural Networks, Recommender Systems and Techniques, and Natural Language Processing Techniques.
Machine learning for 2D material–based devices
Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels–Alder Reaction Outcomes
CoBA: Collusive Backdoor Attacks With Optimized Trigger to Federated Learning
FairReward: Towards Fair Reward Distribution Using Equity Theory in Blockchain-Based Federated Learning
Cross-Context Backdoor Attacks against Graph Prompt Learning
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
Wearable sensors for monitoring marine environments and their inhabitants
Graph-based Molecular Representation Learning
Experimental Identification of the Second‐Order Non‐Hermitian Skin Effect with Physics‐Graph‐Informed Machine Learning
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks
Graph Embedding for Recommendation against Attribute Inference Attacks
HGATE: Heterogeneous Graph Attention Auto-Encoders
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem
Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions
Multi-Order Attentive Ranking Model for Sequential Recommendation
CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles
DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features
Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers
Characterizing Android apps’ behavior for effective detection of malapps at large scale
Discovering and understanding android sensor usage behaviors with data flow analysis
Abstracting massive data for lightweight intrusion detection in computer networks
miR-218 inhibits the invasion and migration of colon cancer cells by targeting the PI3K/Akt/mTOR signaling pathway
Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection
Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks
Maximum error-bounded Piecewise Linear Representation for online stream approximation