Zhanxing Zhu
40 papers · 2015–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zhanxing Zhu?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou
5 papers
· 2017–2021
· NeurIPS, CVPR, AAAI
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Adversarial Invariant Learning
CVPR 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration
AAAI 2021
Bayesian Adversarial Learning
NeurIPS 2018
Stochastic Fractional Hamiltonian Monte Carlo
IJCAI 2018
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
NeurIPS 2017
12 papers whose co-authors appear nowhere else under this name
ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction
AAAI 2026
Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
ICML 2025
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
ICML 2023
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
NeurIPS 2023
Implicit Bias of Adversarial Training for Deep Neural Networks
ICLR 2022
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
ICML 2021
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
AAAI 2021
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
NeurIPS 2021
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
NeurIPS 2020
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
NeurIPS 2018
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
NeurIPS 2015