PPaperPicks

Cheng Long

Nanyang Technological University, College of Computing and Data Science (CCDS), Singapore

47 papers at tracked venues · 40 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models
  2. Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph
  3. From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation
  4. Maximal Biclique Enumeration with Improved Worst-Case Time Complexity Guarantee: A Partition-Oriented Strategy
  5. Minimum $k$-Vertex Connected Graph Search (Extended Abstract)
  6. Querying Cohesive Subgraphs in Temporal Graphs
  7. SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
  8. TS3D: A Temporal Multimodal Dataset for Distributed Database System Analysis
  9. Wukong Framework for Not Safe For Work Detection in Text-to-Image Systems
  10. AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction
  11. DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
  12. Data Watermarking for Sequential Recommender Systems
  13. Efficient Maximum s-Bundle Search via Local Vertex Connectivity
  14. Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
  15. Efficient Size-Bounded Community Search, Revisited: Frameworks for Practical Improvements
  16. FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract)
  17. Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
  18. Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach
  19. Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
  20. HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
  21. KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
  22. Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
  23. Maximal Clique Enumeration with Hybrid Branching and Early Termination
  24. Maximum Degree-Based Quasi-Clique Search via an Iterative Framework
  25. Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search
  26. SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search
  27. TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
  28. Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
  29. Unlocking the Power of SAM 2 for Few-Shot Segmentation
  30. 2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem
  31. Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach
  32. AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
    ICLR 2024 ·
    Kethmi Hirushini Hettige
  33. BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
  34. Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach
  35. Defense Against Model Extraction Attacks on Recommender Systems
  36. Efficient k-Clique Listing: An Edge-Oriented Branching Strategy
  37. Eliminating Feature Ambiguity for Few-Shot Segmentation
  38. FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph
  39. Hybrid Mamba for Few-Shot Segmentation
  40. Maximum k-Plex Search: An Alternated Reduction-and-Bound Method
  41. On Searching Maximum Directed (k, 𝓁)-Plex
  42. OpenSiteRec: An Open Dataset for Site Recommendation
  43. RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
  44. Reproducibility Report for ACM SIGMOD 2024 Paper: 'Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach'
  45. Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning
  46. Watermarking Recommender Systems
  47. iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search