PPaperPicks

Bingsheng He

National University of Singapore, Department of Computer Science, Singapore

66 papers at tracked venues · 61 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. 'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model Licensing
  2. ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks
  3. Automating Database-Native Function Code Synthesis with LLMs
  4. DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
  5. Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
  6. Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning
  7. FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services
  8. FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform
  9. Incremental GNN Embedding Computation on Streaming Graphs
  10. MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures
  11. NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
  12. ORDER: Optimal Routing with Path Indexing in Exchange Graph [Data-Intensive & Data Science Application]
  13. PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
  14. Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
  15. StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning
  16. TRADER: Real-time Arbitrage Detection via Negative Cycles on Dynamic Graphs
  17. WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning Over Database Silos
  18. XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
  19. Accelerating D-Core Maintenance over Dynamic Directed Graphs
  20. Adapting Precomputed Features for Efficient Graph Condensation
  21. Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
  22. An Efficient Memoization Engine for Concurrent Graph Query Processing
  23. Blurred Encoding for Trajectory Representation Learning
  24. Bursting Flow Query on Large Temporal Flow Networks
  25. Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing
  26. Community Detection in Heterogeneous Information Networks Without Materialization
  27. Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs
  28. Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing
  29. Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
  30. Federated Data-Efficient Instruction Tuning for Large Language Models
  31. ML-Asset Management: Curation, Discovery, and Utilization
  32. MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
  33. Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
  34. Model-based Large Language Model Customization as Service
  35. Multi-Label Node Classification with Label Influence Propagation
  36. NodeImport: Imbalanced Node Classification with Node Importance Assessment
  37. OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
  38. Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance
  39. RICH: Real-time Identification of negative Cycles for High-efficiency Arbitrage
  40. Revisiting the Design of In-Memory Dynamic Graph Storage
  41. ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU
  42. Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
  43. Vista: Vector Indexing and Search for Large-Scale Imbalanced Datasets
  44. Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing
  45. Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
  46. Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
  47. CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
  48. EX-Graph: A Pioneering Dataset Bridging Ethereum and X
  49. Effective and Efficient Federated Tree Learning on Hybrid Data
  50. Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality
  51. Exploiting Label Skews in Federated Learning with Model Concatenation
  52. Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
  53. FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework
  54. LLM-PBE: Assessing Data Privacy in Large Language Models
  55. ModelGo: A Practical Tool for Machine Learning License Analysis
  56. Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
  57. OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
  58. OFL-W3: A One-shot Federated Learning System on Web 3.0
  59. Partitioning Message Passing for Graph Fraud Detection
  60. Practical Hybrid Gradient Compression for Federated Learning Systems
  61. RUSH: Real-time Burst Subgraph Discovery in Dynamic Graphs
  62. Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
  63. Spade: A Real-Time Fraud Detection Framework
  64. TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures
  65. VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
  66. uBlade: Efficient Batch Processing for Uncertainty Graph Queries