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Di Niu

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Papers (18)

  1. Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs cs.CV · 2026 · author #3
  2. PerfCoder: Large Language Models for Interpretable Code Performance Optimization cs.SE · 2025 · author #7
  3. Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction cs.LG · 2025 · author #6
  4. Learning Privately over Distributed Features: An ADMM Sharing Approach cs.LG · 2019 · author #4
  5. A User-Centered Concept Mining System for Query and Document Understanding at Tencent cs.IR · 2019 · author #3
  6. Multiresolution Graph Attention Networks for Relevance Matching cs.CL · 2019 · author #3
  7. Learning to Generate Questions by Learning What not to Generate cs.CL · 2019 · author #3
  8. Stochastic Distributed Optimization for Machine Learning from Decentralized Features cs.DC · 2018 · author #2
  9. A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems cs.LG · 2018 · author #2
  10. Android Malware Detection using Large-scale Network Representation Learning cs.CR · 2018 · author #3
  11. House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis cs.CE · 2018 · author #3
  12. Recover Fine-Grained Spatial Data from Coarse Aggregation cs.NA · 2018 · author #4
  13. Growing Story Forest Online from Massive Breaking News cs.IR · 2018 · author #2
  14. Matching Natural Language Sentences with Hierarchical Sentence Factorization cs.CL · 2018 · author #4
  15. A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization cs.LG · 2018 · author #2
  16. Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization cs.LG · 2018 · author #2
  17. Matching Article Pairs with Graphical Decomposition and Convolutions cs.CL · 2018 · author #2
  18. Expectile Matrix Factorization for Skewed Data Analysis stat.ML · 2016 · author #2

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