Cheng Zhang

Shaanxi University of Science and Technology — China

Computer Science · Physical Sciences

14h-index1.1kcitations54works4.02yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(16), Topic Modeling(11), Machine Learning and Algorithms(9), Markov Chains and Monte Carlo Methods(8), Reinforcement Learning in Robotics(7)

Publications54 total

Simulation-Based Machine Learning for Predicting Academic Performance Using Big Data
International Journal of Gaming and Computer-Mediated Simulations·2024· 8 citedOpen Access
Kernel Semi-Implicit Variational Inference
arXiv (Cornell University)·2024Open Access
Learning Machine Learning with Lorenz-96
2023Open Access
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
arXiv (Cornell University)·2023Open Access
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
arXiv (Cornell University)·2023· 1 citedOpen Access
Semi-Implicit Variational Inference via Score Matching
arXiv (Cornell University)·2023Open Access
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
arXiv (Cornell University)·2023· 4 citedOpen Access
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
Learn the Time to Learn: Replay Scheduling in Continual Learning
arXiv (Cornell University)·2022· 3 citedOpen Access
CoRGi: Content-Rich Graph Neural Networks with Attention
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 6 cited
Automating reinforcement learning architecture design for code optimization
2022· 22 cited
Optimal transport for causal discovery
arXiv (Cornell University)·2022· 1 citedOpen Access
Identifiable Generative Models for Missing Not at Random Data Imputation
arXiv (Cornell University)·2021· 12 citedOpen Access
Research on Modeling of E-banking Fraud Account Identification Based on Federated Learning
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)·2021· 12 cited
Probabilistic DAG Search
2021
Probabilistic DAG Search
arXiv (Cornell University)·2021Open Access
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
arXiv (Cornell University)·2021· 4 citedOpen Access
Estimating α-Rank by Maximizing Information Gain
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 4 citedOpen Access
Educational Question Mining At Scale: Prediction, Analysis and Personalization
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 10 citedOpen Access
Reinforcement Learning with Efficient Active Feature Acquisition
arXiv (Cornell University)·2020· 3 citedOpen Access
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Frequent Co-authors

Sebastian Tschiatschek(10), Hedvig Kjellström(8), Stephan Mandt(8), Yingzhen Li(6), José Miguel Hernández-Lobato(6), Kamil Ciosek(5), Babak Shahbaba(5), Sam Devlin(4), Katja Hofmann(4), Wenbo Gong(4), Maximilian Igl(3), Hongkai Zhao(3), Sebastian Nowozin(3), Richard E. Turner(3), Simon Woodhead(3), Simon Peyton Jones(3), Joel Jennings(3), Longlin Yu(3), Judith Bütepage(2), Cengiz Öztireli(2)