LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models.
CoRR, March, 2025
ECCOS: Efficient Capability and Cost Coordinated Scheduling for Multi-LLM Serving.
CoRR, February, 2025
I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search.
CoRR, February, 2025
InstructAgent: Building User Controllable Recommender via LLM Agent.
CoRR, February, 2025
A-MEM: Agentic Memory for LLM Agents.
CoRR, February, 2025
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding.
CoRR, February, 2025
Recommender Systems Meet Large Language Model Agents: A Survey.
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Found. Trends Priv. Secur., 2025
APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
From Commands to Prompts: LLM-based Semantic File System for AIOS.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
iAgent: LLM Agent as a Shield between User and Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction.
CoRR, 2024
MoralBench: Moral Evaluation of LLMs.
CoRR, 2024
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation.
CoRR, 2024
SLMRec: Empowering Small Language Models for Sequential Recommendation.
CoRR, 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random.
CoRR, 2024
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.
Proceedings of the ACM on Web Conference 2024, 2024
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Recursive Multi-Relational Graph Convolutional Network for Automatic Photo Selection.
IEEE Trans. Multim., 2023
Neural Node Matching for Multi-Target Cross Domain Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization.
CoRR, 2022
Quantitative Analysis of Metallographic Image Using Attention-Aware Deep Neural Networks.
Sensors, 2021
Saliency aware image cropping with latent region pair.
Expert Syst. Appl., 2021