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Yu Gu

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

38 papers at tracked venues · 35 at CORE A* · active 2024–2026

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Venues

ACL ×12VLDB ×8ICDE ×5SIGIR ×3SIGMOD ×3AAAI ×1CIKM ×1EMNLP ×1NAACL ×1NeurIPS ×1SIGKDD ×1WWW ×1

Frequent coauthors

Zhen Song
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Haidong Xin
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Yishu Wang
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Zhenghao Liu
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Xin Ai
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Ning Wang
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Shaohua Duan
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Zhuoyang Wu
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He Wang
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Yuqi Xiong
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Shuliang Liu
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Chunyi Peng
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Papers

  1. C2graph: A Compression-Collaboration Algorithm for CPU-GPU Hybrid Weighted Graph Traversals
    ICDE 2026 ·
    Ning Wang
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  2. Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
    ACL 2026 ·
    Shaohua Duan
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  3. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
    ACL 2026 ·
    Zhuoyang Wu
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  4. FastGNAS: Accelerating and Scaling Graph Neural Architecture Search on Multi-GPUs via Ring-Based Model Migration
    SIGMOD 2026 ·
    Zhen Song
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  5. HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference
    ACL 2026 ·
    He Wang
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  6. LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
    SIGKDD 2026 ·
    Haidong Xin
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  7. Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
    ACL 2026 ·
    Yuqi Xiong
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  8. Lightweight 2-Hop Labels for Reachability Queries on Large-Scale Graphs
    ICDE 2026 ·
    Yishu Wang
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  9. Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
    ACL 2026 ·
    Zhenghao Liu
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  10. MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
    ACL 2026 ·
    Haidong Xin
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  11. Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
    ACL 2026 ·
    Shuliang Liu
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  12. Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
    SIGIR 2026 ·
    Chunyi Peng
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  13. Multimodal Knowledge Graph Completion via Relation-Aware Negative Sampling with Diffusion-based Interpolation
    VLDB 2026 ·
    Qian Ma
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  14. ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
    SIGIR 2026 ·
    Hao Yang
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  15. Revealing the Attention Floating Mechanism in Masked Diffusion Models
    ACL 2026 ·
    Xin Dai
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  16. Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising
    ACL 2026 ·
    Fan Li
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  17. UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
    ACL 2026 ·
    Yifan Ji
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  18. COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
    NAACL 2025 ·
    Weiqing Yang
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  19. Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
    SIGIR 2025 ·
    Qiushi Xiong
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  20. ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
    EMNLP 2025 ·
    Sijia Yao
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  21. Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
    AAAI 2025 ·
    Heng Rao
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  22. LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
    NeurIPS 2025 ·
    Yuan Guo
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  23. LCHGNN: Towards Distributed Hypergraph Neural Network Training Based on Communication Graphs with Lightweight Communication Optimization
    CIKM 2025 ·
    Taibo Wang
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  24. NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments
    VLDB 2025 ·
    Mingyi Cao
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  25. NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters
    SIGMOD 2025 ·
    Chunyu Cao
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  26. NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism
    VLDB 2025 ·
    Zhenbo Fu
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  27. RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
    ACL 2025 ·
    Mingyan Wu
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  28. SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training
    SIGMOD 2025 ·
    Zhen Song
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  29. Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data
    ICDE 2024 ·
    Na Guo
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  30. Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
    VLDB 2024 ·
    Hao Yuan
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  31. DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training
    VLDB 2024 ·
    Zhen Song
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  32. LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control
    ICDE 2024 ·
    Jianpeng Wei
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  33. Label Constrained Reachability Queries on Time Dependent Graphs
    ICDE 2024 ·
    Yishu Wang
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  34. MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
    ACL 2024 ·
    Tianshuo Zhou
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  35. Modeling User Viewing Flow using Large Language Models for Article Recommendation
    WWW 2024 ·
    Zhenghao Liu
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  36. NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments
    VLDB 2024 ·
    Xin Ai
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  37. NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
    VLDB 2024 ·
    Xin Ai
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  38. Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification
    VLDB 2024 ·
    Yumeng Song
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