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Jun Zhu

Identifiers

  • name variant Jun Zhu 0.60 · backfill

Papers (162)

  1. minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models cs.CV · 2026 · author #12
  2. GEM: Generative Supervision Helps Embodied Intelligence cs.CV · 2026 · author #12
  3. FAB-Bench: A Framework for Adaptive RAG Benchmarking in Semiconductor Manufacturing cs.CL · 2026 · author #5
  4. RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations cs.SE · 2026 · author #5
  5. WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform cs.RO · 2026 · author #20
  6. Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training cs.LG · 2026 · author #3
  7. Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning cs.LG · 2026 · author #3
  8. Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation cs.CV · 2026 · author #9
  9. $h$-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement cs.CV · 2026 · author #5
  10. KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels cs.LG · 2026 · author #6
  11. Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern cs.CV · 2026 · author #4
  12. MotuBrain: An Advanced World Action Model for Robot Control cs.RO · 2026 · author #20
  13. Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima cs.LG · 2026 · author #6
  14. Deterministic Differentiable Structured Pruning for Large Language Models cs.LG · 2026 · author #5
  15. MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning cs.AI · 2026 · author #7
  16. Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection cs.LG · 2026 · author #4
  17. Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation cs.CV · 2026 · author #6
  18. Omni2Sound: Towards Unified Video-Text-to-Audio Generation cs.SD · 2026 · author #7
  19. Motus: A Unified Latent Action World Model cs.CV · 2025 · author #16
  20. Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning cs.LG · 2025 · author #6
  21. TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control cs.LG · 2025 · author #7
  22. Probing Hidden Symmetry and Altermagnetism with Sub-Picometer Sensitivity via Nonlinear Transport cond-mat.str-el · 2025 · author #7
  23. Diffusion Models as Dataset Distillation Priors cs.LG · 2025 · author #7
  24. ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling cs.SD · 2025 · author #6
  25. Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency cs.CV · 2025 · author #9
  26. Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents cs.CR · 2025 · author #6
  27. AudioMoG: Guiding Audio Generation with Mixture-of-Guidance cs.SD · 2025 · author #7
  28. DiffusionNFT: Online Diffusion Reinforcement with Forward Process cs.LG · 2025 · author #9
  29. Vidar: Embodied Video Diffusion Model for Generalist Manipulation cs.LG · 2025 · author #8
  30. AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation cs.CV · 2025 · author #8
  31. RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation cs.RO · 2024 · author #9
  32. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection cs.CV · 2023 · author #11
  33. DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models cs.LG · 2022 · author #6
  34. DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection cs.CV · 2022 · author #6
  35. Multi-objects Generation with Amortized Structural Regularization cs.LG · 2019 · author #3
  36. Automatic Realistic Music Video Generation from Segments of Youtube Videos cs.MM · 2019 · author #3
  37. Scalable Training of Inference Networks for Gaussian-Process Models stat.ML · 2019 · author #3
  38. An Air-Stable and Atomically Thin Graphene/Gallium Superconducting Heterostructure cond-mat.supr-con · 2019 · author #13
  39. Boosting Generative Models by Leveraging Cascaded Meta-Models cs.LG · 2019 · author #3
  40. Efficient Decision-based Black-box Adversarial Attacks on Face Recognition cs.CV · 2019 · author #7
  41. Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks cs.CV · 2019 · author #4
  42. Spin relaxation in fluorinated single and bilayer graphene cond-mat.mes-hall · 2019 · author #6
  43. Metallic Phase and Temperature Dependence of the $\nu = 0$ Quantum Hall State in Bilayer Graphene cond-mat.mes-hall · 2019 · author #6
  44. Function Space Particle Optimization for Bayesian Neural Networks stat.ML · 2019 · author #3
  45. Batch Virtual Adversarial Training for Graph Convolutional Networks cs.LG · 2019 · author #3
  46. Understanding MCMC Dynamics as Flows on the Wasserstein Space stat.ML · 2019 · author #3
  47. Secure Massive MIMO Communication with Low-resolution DACs cs.IT · 2019 · author #3
  48. Reward Shaping via Meta-Learning cs.LG · 2019 · author #5
  49. Improving Adversarial Robustness via Promoting Ensemble Diversity cs.LG · 2019 · author #5
  50. Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples cs.LG · 2019 · author #4
  51. MIMO Channel Information Feedback Using Deep Recurrent Network cs.IT · 2018 · author #4
  52. Composite Binary Decomposition Networks cs.LG · 2018 · author #6
  53. Semi-crowdsourced Clustering with Deep Generative Models stat.ML · 2018 · author #4
  54. Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information cs.LG · 2018 · author #5
  55. Analyzing the Noise Robustness of Deep Neural Networks cs.LG · 2018 · author #5
  56. Direct Training for Spiking Neural Networks: Faster, Larger, Better cs.NE · 2018 · author #4
  57. Deep Structured Generative Models cs.LG · 2018 · author #3
  58. Understanding and Accelerating Particle-Based Variational Inference stat.ML · 2018 · author #5
  59. A Spectral Approach to Gradient Estimation for Implicit Distributions stat.ML · 2018 · author #3
  60. Adversarial Attack on Graph Structured Data cs.LG · 2018 · author #6
  61. Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems cs.LG · 2018 · author #3
  62. Graphical Generative Adversarial Networks cs.LG · 2018 · author #3
  63. Adversarial Attacks and Defences Competition cs.CV · 2018 · author #8
  64. Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference cs.LG · 2018 · author #4
  65. Sparse Adversarial Perturbations for Videos cs.CV · 2018 · author #2
  66. Max-Mahalanobis Linear Discriminant Analysis Networks cs.LG · 2018 · author #3
  67. Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process cs.CV · 2018 · author #4
  68. Simulations and plans for possible DLA experiments at SINBAD physics.acc-ph · 2018 · author #9
  69. A Hierarchical Recurrent Neural Network for Symbolic Melody Generation cs.SD · 2017 · author #5
  70. Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser cs.CV · 2017 · author #6
  71. Learning Random Fourier Features by Hybrid Constrained Optimization stat.ML · 2017 · author #3
  72. Learning to Write Stylized Chinese Characters by Reading a Handful of Examples cs.CV · 2017 · author #5
  73. Riemannian Stein Variational Gradient Descent for Bayesian Inference stat.ML · 2017 · author #2
  74. Diversity-Promoting Bayesian Learning of Latent Variable Models cs.LG · 2017 · author #2
  75. Visual Concepts and Compositional Voting cs.CV · 2017 · author #6
  76. Message Passing Stein Variational Gradient Descent stat.ML · 2017 · author #4
  77. Structured Generative Adversarial Networks cs.LG · 2017 · author #6
  78. Smooth Neighbors on Teacher Graphs for Semi-supervised Learning cs.LG · 2017 · author #2
  79. Stochastic Training of Graph Convolutional Networks with Variance Reduction stat.ML · 2017 · author #2
  80. Boosting Adversarial Attacks with Momentum cs.LG · 2017 · author #5
  81. Robust and Secure Resource Allocation for Full-Duplex MISO Multicarrier NOMA Systems cs.IT · 2017 · author #3
  82. ZhuSuan: A Library for Bayesian Deep Learning stat.ML · 2017 · author #3
  83. Gate-controlled transmission of quantum Hall edge states in bilayer graphene cond-mat.mes-hall · 2017 · author #5
  84. Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples cs.CV · 2017 · author #3
  85. Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors cs.LG · 2017 · author #2
  86. Effective Landau Level Diagram of Bilayer Graphene cond-mat.mes-hall · 2017 · author #5
  87. A valley valve and electron beam splitter cond-mat.mes-hall · 2017 · author #8
  88. Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization cs.CV · 2017 · author #5
  89. Detecting Semantic Parts on Partially Occluded Objects cs.CV · 2017 · author #4
  90. The YouTube-8M Kaggle Competition: Challenges and Methods cs.CV · 2017 · author #4
  91. Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks cs.NE · 2017 · author #4
  92. Towards Robust Detection of Adversarial Examples cs.LG · 2017 · author #4
  93. Kernel Implicit Variational Inference stat.ML · 2017 · author #3
  94. Improving Interpretability of Deep Neural Networks with Semantic Information cs.CV · 2017 · author #3
  95. Triple Generative Adversarial Nets cs.LG · 2017 · author #3
  96. Scalable Inference for Nested Chinese Restaurant Process Topic Models stat.ML · 2017 · author #2
  97. Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective cs.LG · 2017 · author #4
  98. Collaborative Filtering with User-Item Co-Autoregressive Models cs.LG · 2016 · author #4
  99. A Communication-Efficient Parallel Method for Group-Lasso cs.LG · 2016 · author #2
  100. SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data q-bio.NC · 2016 · author #3
  101. Max-Margin Deep Generative Models for (Semi-)Supervised Learning cs.CV · 2016 · author #2
  102. Low-Complexity QoS-Aware Coordinated Scheduling for Heterogenous Networks cs.IT · 2016 · author #1
  103. Secure Massive MIMO Systems with Limited RF Chains cs.IT · 2016 · author #1
  104. Kernel Bayesian Inference with Posterior Regularization stat.ML · 2016 · author #2
  105. Conditional Generative Moment-Matching Networks cs.LG · 2016 · author #4
  106. PSDVec: a Toolbox for Incremental and Scalable Word Embedding cs.CL · 2016 · author #2
  107. Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) cs.CL · 2016 · author #3
  108. Towards Better Analysis of Deep Convolutional Neural Networks cs.CV · 2016 · author #5
  109. Physical Layer Security for Massive MIMO Systems Impaired by Phase Noise cs.IT · 2016 · author #1
  110. A Model-Based Scatter Artifacts Correction for Cone Beam CT physics.med-ph · 2016 · author #3
  111. Analysis and Design of Secure Massive MIMO Systems in the Presence of Hardware Impairments cs.IT · 2016 · author #1
  112. Max-Margin Nonparametric Latent Feature Models for Link Prediction cs.LG · 2016 · author #1
  113. Learning to Generate with Memory cs.LG · 2016 · author #2
  114. Scaling up Dynamic Topic Models stat.ML · 2016 · author #3
  115. Spectral Learning for Supervised Topic Models cs.LG · 2016 · author #3
  116. Using Edge-Preserving Algorithm with Non-local Mean for Significantly Improved Image-Domain Material Decomposition in Dual Energy CT physics.med-ph · 2016 · author #7
  117. Streaming Gibbs Sampling for LDA Model cs.LG · 2016 · author #3
  118. Fast Parallel SVM using Data Augmentation cs.LG · 2015 · author #3
  119. Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation cs.LG · 2015 · author #3
  120. Jointly Modeling Topics and Intents with Global Order Structure cs.CL · 2015 · author #2
  121. Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base cs.CL · 2015 · author #2
  122. Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization cs.NA · 2015 · author #2
  123. DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization cs.CV · 2015 · author #1
  124. Nematic Quantum Critical Fluctuations in BaFe$_{2-x}$Ni$_x$As$_2$ cond-mat.supr-con · 2015 · author #11
  125. WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation stat.ML · 2015 · author #3
  126. Per-Antenna Constant Envelope Precoding for Secure Transmission in Large-Scale MISO Systems cs.IT · 2015 · author #1
  127. Multi-Objective Optimization for Robust Power Efficient and Secure Full-Duplex Wireless Communication Systems cs.IT · 2015 · author #3
  128. Statistically-estimated tree composition for the northeastern United States at the time of Euro-American settlement stat.AP · 2015 · author #8
  129. Pose-Guided Human Parsing with Deep Learned Features cs.CV · 2015 · author #2
  130. A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution cs.CL · 2015 · author #2
  131. Dropout Training for SVMs with Data Augmentation cs.LG · 2015 · author #2
  132. Learning Deep Generative Models with Doubly Stochastic MCMC cs.LG · 2015 · author #2
  133. Bounded-Distortion Metric Learning cs.LG · 2015 · author #4
  134. Linear Precoding of Data and Artificial Noise in Secure Massive MIMO Systems cs.IT · 2015 · author #1
  135. Fast Sampling for Bayesian Max-Margin Models stat.ML · 2015 · author #2
  136. Max-margin Deep Generative Models cs.LG · 2015 · author #2
  137. Fast Scatter Artifacts Correction for Cone-Beam CT without System Modification and Repeat Scan physics.med-ph · 2015 · author #2
  138. Big Learning with Bayesian Methods cs.LG · 2014 · author #1
  139. Local Adaptive Grouped Regularization and its Oracle Properties for Varying Coefficient Regression stat.ME · 2014 · author #2
  140. Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields cs.LG · 2014 · author #2
  141. Secure Transmission in Multi-Cell Massive MIMO Systems cs.IT · 2014 · author #1
  142. Characterizations of all-derivable points in $B(H)$ math.OA · 2014 · author #1
  143. Dropout Training for Support Vector Machines cs.LG · 2014 · author #2
  144. Online Bayesian Passive-Aggressive Learning cs.LG · 2013 · author #2
  145. Gibbs Max-margin Topic Models with Data Augmentation stat.ML · 2013 · author #1
  146. Discriminative Relational Topic Models cs.LG · 2013 · author #2
  147. Improved Bayesian Logistic Supervised Topic Models with Data Augmentation cs.LG · 2013 · author #1
  148. An optimal problem for relative entropy cs.IT · 2013 · author #2
  149. Linear mappings of local preserving-majorization on matrix algebras math.QA · 2013 · author #1
  150. Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs cs.LG · 2012 · author #1
  151. Unifying Treatment of Discord via Relative Entropy quant-ph · 2012 · author #3
  152. Sparse Topical Coding cs.LG · 2012 · author #1
  153. Jordan Higher All-Derivable Points in Nest Algebras math.OA · 2011 · author #2
  154. Penalized maximum likelihood estimation and variable selection in geostatistics stat.ME · 2011 · author #2
  155. Jordan higher all-derivable points in triangular algebras math.OA · 2011 · author #1
  156. Characterizations of all-derivable points in nest algebras math.OA · 2011 · author #1
  157. Photoluminescence from nanocrystalline graphite monofluoride cond-mat.mtrl-sci · 2010 · author #9
  158. MedLDA: A General Framework of Maximum Margin Supervised Topic Models stat.ML · 2009 · author #1
  159. The Deposition of High-Quality HfO2 on Graphene and the Effect of Remote Oxide Phonon Scattering cond-mat.mtrl-sci · 2009 · author #4
  160. Maximum Entropy Discrimination Markov Networks stat.ML · 2009 · author #1
  161. Deterministic Quantum Key Distribution Using Gaussian-Modulated Squeezed States quant-ph · 2006 · author #2
  162. Resampling methods for spatial regression models under a class of stochastic designs math.ST · 2006 · author #2

Mentions

  • 1312.3388 #2 · backfill · confidence 0.70 Jun Zhu
  • 2605.30263 #12 · arxiv_oai · confidence 0.70 Jun Zhu
  • 1310.2816 #1 · backfill · confidence 0.70 Jun Zhu
  • 1310.2409 #2 · backfill · confidence 0.70 Jun Zhu
  • 1310.2408 #1 · backfill · confidence 0.70 Jun Zhu
  • 2605.28548 #12 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2604.09258 #6 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2605.26476 #5 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2605.26177 #5 · arxiv_oai · confidence 0.70 Jun Zhu
  • 1304.0270 #2 · backfill · confidence 0.70 Jun Zhu
  • 1301.1857 #1 · backfill · confidence 0.70 Jun Zhu
  • 1210.1766 #1 · backfill · confidence 0.70 Jun Zhu
  • 1206.4109 #3 · backfill · confidence 0.70 Jun Zhu
  • 1202.3778 #1 · backfill · confidence 0.70 Jun Zhu
  • 1112.5590 #2 · backfill · confidence 0.70 Jun Zhu
  • 2602.02214 #6 · arxiv_oai · confidence 0.70 Jun Zhu
  • 1109.0320 #2 · backfill · confidence 0.70 Jun Zhu
  • 1107.3190 #1 · backfill · confidence 0.70 Jun Zhu
  • 1107.1931 #1 · backfill · confidence 0.70 Jun Zhu
  • 2605.17912 #20 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2605.17003 #3 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2605.16999 #3 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2605.11871 #5 · arxiv_oai · confidence 0.70 Jun Zhu
  • 1007.5222 #9 · backfill · confidence 0.70 Jun Zhu
  • 0912.5507 #1 · backfill · confidence 0.70 Jun Zhu
  • 0912.1378 #4 · backfill · confidence 0.70 Jun Zhu
  • 2507.12898 #8 · arxiv_oai · confidence 0.70 Jun Zhu
  • 2211.01095 #6 · arxiv_oai · confidence 0.70 Jun Zhu
  • 0901.2730 #1 · backfill · confidence 0.70 Jun Zhu

Frequent Coauthors