已发表成果:
WOK 论文 49 篇;
Beyond Inter-Item Relations: Dynamic Adaptive Mixture-of-Experts for LLM-Based Sequential Recommendation
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization
Deep Learning-Assisted Spectrum-Structure Correlation: State-of-the-Art and Perspectives
Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance
Knowledge Prompt-tuning for Sequential Recommendation
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Knowledge Prompt-tuning for Sequential Recommendation
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph
REFBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Practical Cross-System Shilling Attacks with Limited Access to Data
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Self-supervised Graph Representation Learning for Black Market Account Detection
Practical Cross-system Shilling Attacks with Limited Access to Data
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract)
KDCE: Effective Lifelong Learning for Code Pre-train Language Model
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
Self-supervised Graph Representation Learning for Black Market Account Detection
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation
Neutralizing Popularity Bias in Recommendation Models
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles
Visual Encoding and Debiasing for CTR Prediction
SPEX: A Generic Framework for Enhancing Neural Social Recommendation
Fast and Secure Distributed Nonnegative Matrix Factorization
Multi-Task Learning for Recommendation Over Heterogeneous Information Network
Adaptive Code Learning for Spark Configuration Tuning
Improving Person Re-identification with Semantically Aligned Appearance Transformer
Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection
Multi-view group representation learning for location-aware group recommendation
Mitigating Sentiment Bias for Recommender Systems
Preserve Integrity in Realtime Event Summarization
SILVER: Generating Persuasive Chinese Product Pitch
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Attacking Recommender Systems with Augmented User Profiles
Translation-Based Sequential Recommendation for Complex Users on Sparse Data
DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System
TransRev: Modeling Reviews as Translations from Users to Items
Drug target interaction prediction via multi-task co-attention
Modeling sentiment evolution for social incidents
HHMF: hidden hierarchical matrix factorization for recommender systems