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Yizhe Zhang

Identifiers

  • name variant Yizhe Zhang 0.60 · backfill

Papers (42)

  1. LT2: Linear-Time Looped Transformers cs.LG · 2026 · author #2
  2. Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling cs.LG · 2026 · author #6
  3. Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why cs.LG · 2026 · author #7
  4. IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs cs.AI · 2026 · author #9
  5. STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation cs.CV · 2026 · author #4
  6. Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation cs.LG · 2026 · author #5
  7. DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models cs.LG · 2026 · author #6
  8. SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation cs.CV · 2026 · author #3
  9. AWARE: Adaptive Whole-body Active Rotating Control for Enhanced LiDAR-Inertial Odometry under Human-in-the-Loop Interaction cs.RO · 2026 · author #1
  10. LaDi-RL: Latent Diffusion Reasoning Prevents Entropy Collapse in Reinforcement Learning cs.LG · 2026 · author #2
  11. LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning cs.LG · 2025 · author #2
  12. FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models cs.CL · 2025 · author #5
  13. BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design cs.CL · 2025 · author #7
  14. Training Software Engineering Agents and Verifiers with SWE-Gym cs.SE · 2024 · author #7
  15. Scaling Diffusion Language Models via Adaptation from Autoregressive Models cs.CL · 2024 · author #3
  16. OpenHands: An Open Platform for AI Software Developers as Generalist Agents cs.SE · 2024 · author #18
  17. Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images eess.IV · 2019 · author #1
  18. Improving Textual Network Embedding with Global Attention via Optimal Transport cs.CL · 2019 · author #8
  19. SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation cs.CV · 2019 · author #1
  20. Jointly Optimizing Diversity and Relevance in Neural Response Generation cs.CL · 2019 · author #3
  21. Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models cs.CL · 2019 · author #3
  22. Improving Sequence-to-Sequence Learning via Optimal Transport cs.CL · 2019 · author #2
  23. Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation cs.CV · 2019 · author #5
  24. A New Ensemble Learning Framework for 3D Biomedical Image Segmentation cs.CV · 2018 · author #2
  25. Towards Coherent and Cohesive Long-form Text Generation cs.CL · 2018 · author #3
  26. Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization cs.CL · 2018 · author #1
  27. JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets cs.LG · 2018 · author #6
  28. BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation cs.CV · 2018 · author #2
  29. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms cs.CL · 2018 · author #6
  30. Joint Embedding of Words and Labels for Text Classification cs.CL · 2018 · author #4
  31. A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs cs.CV · 2018 · author #6
  32. Zero-Shot Learning via Class-Conditioned Deep Generative Models cs.LG · 2017 · author #5
  33. Deconvolutional Latent-Variable Model for Text Sequence Matching cs.CL · 2017 · author #2
  34. Triangle Generative Adversarial Networks cs.LG · 2017 · author #5
  35. A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC stat.ML · 2017 · author #3
  36. Deconvolutional Paragraph Representation Learning cs.CL · 2017 · author #1
  37. Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation cs.CV · 2017 · author #2
  38. Adversarial Feature Matching for Text Generation stat.ML · 2017 · author #1
  39. Stochastic Gradient Monomial Gamma Sampler stat.ML · 2017 · author #1
  40. Stochastic Gradient MCMC with Stale Gradients stat.ML · 2016 · author #4
  41. Towards Unifying Hamiltonian Monte Carlo and Slice Sampling stat.ML · 2016 · author #1
  42. Learning a Hybrid Architecture for Sequence Regression and Annotation stat.ML · 2015 · author #1

Mentions

  • 2605.20670 #2 · arxiv_oai · confidence 0.70 Yizhe Zhang
  • 2410.17891 #3 · arxiv_oai · confidence 0.70 Yizhe Zhang
  • 2602.01705 #2 · arxiv_oai · confidence 0.70 Yizhe Zhang
  • 2605.16342 #6 · arxiv_oai · confidence 0.70 Yizhe Zhang
  • 2412.21139 #7 · arxiv_oai · confidence 0.70 Yizhe Zhang

Frequent Coauthors