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Ying Nian Wu

Identifiers

  • name variant Ying Nian Wu 0.60 · backfill

Papers (41)

  1. Less is More: Early Stopping Rollout for On-Policy Distillation cs.LG · 2026 · author #4
  2. Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft cs.AI · 2026 · author #10
  3. AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers cs.CV · 2026 · author #4
  4. Enhancing Table Reasoning with Deterministic Table-State Rewards cs.AI · 2026 · author #10
  5. Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage cs.LG · 2025 · author #4
  6. Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cs.CL · 2025 · author #11
  7. Why Are We Moral? An LLM-based Agent Simulation Approach to Study Moral Evolution cs.MA · 2025 · author #8
  8. PiKV: KV Cache Management System for Mixture of Experts cs.DC · 2025 · author #4
  9. "Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood cs.LG · 2024 · author #13
  10. Multi-Agent Tensor Fusion for Contextual Trajectory Prediction cs.CV · 2019 · author #8
  11. Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract) cs.LG · 2019 · author #3
  12. Network Transplanting (extended abstract) cs.LG · 2019 · author #4
  13. Inducing Sparse Coding and And-Or Grammar from Generator Network cs.LG · 2019 · author #3
  14. Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model stat.ML · 2018 · author #6
  15. Learning Dynamic Generator Model by Alternating Back-Propagation Through Time stat.ML · 2018 · author #5
  16. Explanatory Graphs for CNNs cs.CV · 2018 · author #4
  17. Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering cs.CV · 2018 · author #3
  18. Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation cs.CV · 2018 · author #5
  19. Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion stat.ML · 2018 · author #4
  20. A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models stat.ML · 2018 · author #1
  21. Interactive Agent Modeling by Learning to Probe cs.AI · 2018 · author #3
  22. Unsupervised Learning of Neural Networks to Explain Neural Networks cs.CV · 2018 · author #4
  23. Replicating Active Appearance Model by Generator Network cs.CV · 2018 · author #3
  24. Network Transplanting cs.LG · 2018 · author #4
  25. Learning Descriptor Networks for 3D Shape Synthesis and Analysis cs.CV · 2018 · author #6
  26. Interpreting CNNs via Decision Trees cs.CV · 2018 · author #4
  27. Interpretable Convolutional Neural Networks cs.CV · 2017 · author #2
  28. Mining Deep And-Or Object Structures via Cost-Sensitive Question-Answer-Based Active Annotations cs.CV · 2017 · author #2
  29. Interpreting CNN Knowledge via an Explanatory Graph cs.CV · 2017 · author #4
  30. Interactively Transferring CNN Patterns for Part Localization cs.CV · 2017 · author #5
  31. Mining Object Parts from CNNs via Active Question-Answering cs.CV · 2017 · author #3
  32. Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning cs.CV · 2016 · author #3
  33. Cooperative Training of Descriptor and Generator Networks stat.ML · 2016 · author #5
  34. Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms q-bio.NC · 2016 · author #3
  35. Alternating Back-Propagation for Generator Network stat.ML · 2016 · author #4
  36. Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet stat.ML · 2016 · author #3
  37. A Theory of Generative ConvNet stat.ML · 2016 · author #4
  38. Learning FRAME Models Using CNN Filters cs.CV · 2015 · author #3
  39. Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee stat.ML · 2013 · author #3
  40. Learning Active Basis Models by EM-Type Algorithms stat.ME · 2011 · author #4
  41. Discussion of "EQUI-energy sampler" by Kou, Zhou and Wong math.ST · 2006 · author #1

Mentions

  • 2605.27028 #4 · arxiv_oai · confidence 0.70 Ying Nian Wu
  • 1305.0319 #3 · backfill · confidence 0.70 Ying Nian Wu
  • 2604.24697 #10 · arxiv_oai · confidence 0.70 Ying Nian Wu
  • 1104.2123 #4 · backfill · confidence 0.70 Ying Nian Wu
  • 2508.06526 #4 · arxiv_oai · confidence 0.70 Ying Nian Wu
  • 2510.07799 #11 · arxiv_oai · confidence 0.70 Ying Nian Wu
  • 2601.22530 #10 · arxiv_oai · confidence 0.70 Ying Nian Wu

Frequent Coauthors