Area of research
Artificial Intelligence · Information Systems
Research interest
Research interests include Computer science, Artificial intelligence, Information retrieval, Graph, Benchmark (surveying), and Sentence.
A Survey on Retrieval-Augmented Text Generation for Large Language Models
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts
Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search
Predicting SARS‐CoV‐2 Infection With Graph Attention Capsule Networks
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
A diversity-enhanced knowledge distillation model for practical math word problem solving
Exploring long- and short-term knowledge state graph representations with adaptive fusion for knowledge tracing
Web Intelligence (WI) 3.0: in search of a better-connected world to create a future intelligent society
Optimizing domain-generalizable ReID through non-parametric normalization
Topology-aware GPU job scheduling with deep reinforcement learning and heuristics
One model connects all graphs: Towards training one unified model for multi-domain graph pre-training using adaptive vector quantization
A semantic framework for enhancing pseudo-relevance feedback with soft negative sampling and contrastive learning
Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks
AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph Reasoning
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding
Evolution of Reid: From Early Methods to Llms Integration
A knowledge-based approach for pseudo-relevance feedback by exploiting semantic relevance
Efficient cluster-guided key timestamp discovery for temporal knowledge graph completion
Utilizing large language models for integrating document-level contextual semantic into pseudo-relevance feedback
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks
Exploring ChatGPT for next-generation information retrieval: Opportunities and challenges
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension
Learning dual disentangled representation with self-supervision for temporal knowledge graph reasoning
Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing
Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning
MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension
MealRec <sup>+</sup> : A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
Topic-aware response selection for dialog systems