Name
Papers
Collaborators
JUN ZHU
314
544
Citations 
PageRank 
Referers 
1926
154.82
4600
Referees 
References 
4903
3697
Search Limit
1001000
Title
Citations
PageRank
Year
NeuralEF: Deconstructing Kernels by Deep Neural Networks.00.342022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.00.342022
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning.00.342022
Memory Replay with Data Compression for Continual Learning00.342022
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR00.342022
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions30.422022
Towards generalizable detection of face forgery via self-guided model-agnostic learning00.342022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.00.342022
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One.00.342022
An evaluation of deep neural network models for music classification using spectrograms00.342022
Diagnosing Ensemble Few-Shot Classifiers00.342022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models00.342022
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms.00.342021
LiBRe: A Practical Bayesian Approach to Adversarial Detection10.352021
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.00.342021
Improving Generative Moment Matching Networks With Distribution Partition00.342021
A robust personalized location recommendation based on ensemble learning00.342021
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu.00.342021
Analyzing the Noise Robustness of Deep Neural Networks.40.392021
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network.00.342021
Efficient Inference of Flexible Interaction in Spiking-neuron Networks00.342021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization.00.342021
Fork Or Fail: Cycle-Consistent Training With Many-To-One Mappings00.342021
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information00.342020
Benchmarking Adversarial Robustness on Image Classification70.522020
Efficient Learning of Generative Models via Finite-Difference Score Matching00.342020
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory00.342020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models00.342020
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?00.342020
PopMNet: Generating structured pop music melodies using neural networks20.472020
Towards A New Generation Of Artificial Intelligence In China10.362020
Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019)00.342020
Function Space Particle Optimization for Bayesian Neural Networks.00.342019
Reward Shaping via Meta-Learning.10.352019
Efficient Decision-Based Black-Box Adversarial Attacks On Face Recognition100.502019
Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks40.392019
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.10.352019
DSL: Deep Self-Semi-Supervised Learning for Image Recognition.00.342019
Towards controllable image descriptions with semi-supervised VAE.00.342019
Adversarial Variational Inference and Learning in Markov Random Fields.00.342019
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning.00.342019
Sparse Adversarial Perturbations for Videos.00.342019
Towards Robust Detection of Adversarial Examples50.402018
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information.00.342018
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors.00.342018
Max-Margin Deep Generative Models for (Semi-)Supervised Learning.40.402018
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems.00.342018
Selective Verification Strategy for Learning From Crowds.00.342018
Stochastic Training of Graph Convolutional Networks with Variance Reduction.220.752018
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.30.402018
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