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 73 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions.

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[DOI]

ACM Comput. Surv., July, 2026

T-GINEE: A Tensor-Based Multilayer Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, May, 2026

Reinforced Preference Optimization for Reasoning-Augmented Recommendations.

[BibT_eX]

[DOI]

CoRR, May, 2026

SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering.

[BibT_eX]

[DOI]

CoRR, April, 2026

Rethinking Semantic Collaborative Integration: Why Alignment Is Not Enough.

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[DOI]

CoRR, April, 2026

Job Skill Extraction via LLM-Centric Multi-Module Framework.

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[DOI]

CoRR, April, 2026

MOSAIC: Composable Safety Alignment with Modular Control Tokens.

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[DOI]

CoRR, March, 2026

Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO.

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[DOI]

CoRR, February, 2026

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.

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[DOI]

CoRR, January, 2026

From Failure to Mastery: Generating Hard Samples for Tool-use Agents.

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[DOI]

CoRR, January, 2026

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

PromptX: A Cognitive Agent Platform with Long-term Memory.

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[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

ARCHER: Shooting Straight in Multimodal E-Commerce Search at Alibaba with Progressive Alignment.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search.

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[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Renormalization Group Guided Tensor Network Structure Search.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Behavior-Equivalent Token: Single-Token Replacement for Long Prompts in LLMs.

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[DOI]

CoRR, November, 2025

MTA: A Merge-then-Adapt Framework for Personalized Large Language Model.

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[DOI]

CoRR, November, 2025

FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling.

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[DOI]

CoRR, October, 2025

AdaSwitch: Adaptive Switching Generation for Knowledge Distillation.

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CoRR, October, 2025

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.

[BibT_eX]

[DOI]

CoRR, September, 2025

Exploring Superior Function Calls via Reinforcement Learning.

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[DOI]

CoRR, August, 2025

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

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[DOI]

CoRR, May, 2025

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.

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CoRR, May, 2025

Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression.

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[DOI]

CoRR, May, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.

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[DOI]

CoRR, May, 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.

[BibT_eX]

[DOI]

CoRR, January, 2025

PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images.

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[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Enhancing clinical documentation with voice processing and large language models: a study on the LAOS system.

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[DOI]

npj Digit. Medicine, 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

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[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends.

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[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning.

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[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Stepwise Reasoning Disruption Attack of LLMs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SIGMA: Selective Gated Mamba for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Stepwise Reasoning Error Disruption Attack of LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Sheng Zhang

Maolin Wang

Xiangyu Zhao

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2024

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Tensorized Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

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[DOI]

CoRR, 2023

Embedding in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Tensorized Hypergraph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Tensor Networks Meet Neural Networks: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

An interpretable bi-branch neural network for matrix completion.

[BibT_eX]

[DOI]

Xiao Peng Li

Maolin Wang

Hing Cheung So

Signal Process., 2022

TedNet: A Pytorch toolkit for tensor decomposition networks.

[BibT_eX]

[DOI]

Yu Pan

Maolin Wang

Zenglin Xu

Neurocomputing, 2022

2020

Concatenated Tensor Networks for Deep Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Tensor Ring Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Maolin Wang

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