PPaperPicks

Maolin Wang

City University of Hong Kong, Department of Data Science, Hong Kong

36 papers at tracked venues · 30 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. ARCHER: Shooting Straight in Multimodal E-Commerce Search at Alibaba with Progressive Alignment
    WWW 2026 · Maolin Wang
  2. BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness
  3. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
  4. GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms
    WWW 2026 · Maolin Wang
  5. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression
  6. MTA: A Merge-then-Adapt Framework for Personalized Large Language Models
  7. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
  8. NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations
  9. ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
  10. PromptX: A Cognitive Agent Platform with Long-term Memory
  11. Renormalization Group Guided Tensor Network Structure Search
    AAAI 2026 · Maolin Wang
  12. Rethinking Semantic-Collaborative Integration: Why Alignment Is Not Enough
    SIGIR 2026 · Maolin Wang
  13. SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation
    WWW 2026 · Maolin Wang
  14. SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
  15. To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
  16. Behavior Modeling Space Reconstruction for E-Commerce Search
  17. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
  18. DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
    IJCAI 2025 · Maolin Wang
  19. Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
  20. Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
  21. Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
  22. FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
    SIGKDD 2025 · Maolin Wang
  23. GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
  24. LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
  25. Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends
  26. Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
  27. MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning
    ICDE 2025 · Maolin Wang
  28. Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
  29. Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework
    SIGKDD 2025 · Maolin Wang
  30. SIGMA: Selective Gated Mamba for Sequential Recommendation
  31. SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
  32. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
    SIGIR 2025 · Maolin Wang
  33. Stepwise Reasoning Disruption Attack of LLMs
  34. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
  35. Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
    WWW 2024 · Maolin Wang
  36. Tensorized Hypergraph Neural Networks
    SDM 2024 · Maolin Wang