Maolin Wang

Orcid: 0000-0002-0073-0172

Affiliations:
  • City University of Hong Kong, Department of Data Science, Hong Kong


According to our database1, Maolin Wang authored at least 40 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Exploring Superior Function Calls via Reinforcement Learning.
CoRR, August, 2025

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
CoRR, July, 2025

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
CoRR, July, 2025

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.
CoRR, May, 2025

FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement.
CoRR, May, 2025

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.
CoRR, May, 2025

Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression.
CoRR, May, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
CoRR, May, 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.
CoRR, January, 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.
Proceedings of the ACM on Web Conference 2025, 2025

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Stepwise Reasoning Disruption Attack of LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

SIGMA: Selective Gated Mamba for Sequential Recommendation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.
CoRR, 2024

Stepwise Reasoning Error Disruption Attack of LLMs.
CoRR, 2024

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.
CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.
CoRR, 2024

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.
CoRR, 2024

Privacy in LLM-based Recommendation: Recent Advances and Future Directions.
CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.
CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.
CoRR, 2024

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Tensorized Hypergraph Neural Networks.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.
CoRR, 2023

On the Opportunities of Green Computing: A Survey.
CoRR, 2023

Embedding in Recommender Systems: A Survey.
CoRR, 2023

Tensorized Hypergraph Neural Networks.
CoRR, 2023

Tensor Networks Meet Neural Networks: A Survey.
CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.
Proceedings of the ACM Web Conference 2023, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
An interpretable bi-branch neural network for matrix completion.
Signal Process., 2022

TedNet: A Pytorch toolkit for tensor decomposition networks.
Neurocomputing, 2022

2020
Concatenated Tensor Networks for Deep Multi-Task Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Tensor Ring Restricted Boltzmann Machines.
Proceedings of the International Joint Conference on Neural Networks, 2019

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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