PPaperPicks

Ge Yu

Northeastern University, School of Computer Science and Engineering, Shenyang, China

61 papers at tracked venues · 53 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. C2graph: A Compression-Collaboration Algorithm for CPU-GPU Hybrid Weighted Graph Traversals
  2. Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
  3. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
  4. FastGNAS: Accelerating and Scaling Graph Neural Architecture Search on Multi-GPUs via Ring-Based Model Migration
  5. GeoLayer: Towards Low-Latency and Cost-Efficient Geo-Distributed Graph Stores with Layered Graph
  6. HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference
  7. LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
  8. Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
  9. Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks
  10. Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
  11. MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
  12. Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
  13. Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
  14. Multimodal Knowledge Graph Completion via Relation-Aware Negative Sampling with Diffusion-based Interpolation
  15. PAT: Towards Transaction Routing with Page Affinity in Shared-Cache Databases
  16. ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
  17. Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
  18. Revealing the Attention Floating Mechanism in Masked Diffusion Models
  19. S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions
  20. ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
  21. Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising
  22. UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
  23. A Topology-Aware Localized Update Strategy for Graph-Based ANN Index
  24. Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
  25. COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
  26. Concurrency Control as a Service
  27. DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention
  28. Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing
  29. Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
  30. ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
  31. Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
  32. Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
  33. LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
  34. LeadFairRec: LLM-enhanced Discriminative Counterfactual Debiasing for Two-sided Fairness in Recommendation
  35. Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing
  36. MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus
  37. MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models
  38. NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments
  39. NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters
  40. NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective
  41. NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism
  42. ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
  43. Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency
  44. RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
  45. RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
  46. ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
  47. SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training
  48. Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data
  49. Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
  50. DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training
  51. Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy
  52. Fast Iterative Graph Computing with Updated Neighbor States
  53. GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing
  54. INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
  55. LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR
  56. LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control
  57. MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
  58. Modeling User Viewing Flow using Large Language Models for Article Recommendation
  59. NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments
  60. NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
  61. Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification