Zeyu Zheng

Orcid: 0000-0001-5653-152X

According to our database1, Zeyu Zheng authored at least 104 papers between 2009 and 2024.

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Bibliography

2024
TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine.
IEEE Internet Things J., June, 2024

Four-regular graphs with extremal rigidity properties.
Discret. Math., April, 2024

Structured Diffusion Models with Mixture of Gaussians as Prior Distribution.
CoRR, 2024

Symbolic Music Generation with Fine-grained Interactive Textural Guidance.
CoRR, 2024

Normalization and effective learning rates in reinforcement learning.
CoRR, 2024

Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data.
CoRR, 2024

Understanding the performance gap between online and offline alignment algorithms.
CoRR, 2024

Large Language Model Enhanced Machine Learning Estimators for Classification.
CoRR, 2024

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery.
CoRR, 2024

A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation.
CoRR, 2024

Language Model Prompt Selection via Simulation Optimization.
CoRR, 2024

Human Alignment of Large Language Models through Online Preference Optimisation.
CoRR, 2024

Disentangling the Causes of Plasticity Loss in Neural Networks.
CoRR, 2024

2nd Workshop on Causal Inference and Machine Learning in Practice.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Generalized Preference Optimization: A Unified Approach to Offline Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Human Alignment of Large Language Models through Online Preference Optimisation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Common Kings of a Chain of Cycles in a Strong Tournament.
Graphs Comb., August, 2023

Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training.
ACM Trans. Model. Comput. Simul., July, 2023

Immediacy Provision and Matchmaking.
Manag. Sci., February, 2023

Gradient-Based Algorithms for Convex Discrete Optimization via Simulation.
Oper. Res., 2023

Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations.
INFORMS J. Comput., 2023

Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk.
CoRR, 2023

Best Arm Identification with Fairness Constraints on Subpopulations.
Proceedings of the Winter Simulation Conference, 2023

Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations.
Proceedings of the Winter Simulation Conference, 2023

A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators.
Proceedings of the Winter Simulation Conference, 2023

Contextual Gaussian Process Bandits with Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-stationary Experimental Design under Linear Trends.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding Plasticity in Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Prediction of Empathy Induced by Synthesized Speech using Hilbert Marginal Spectrum Analysis.
Proceedings of the 7th International Conference on Biomedical Engineering and Applications, 2023

2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations.
CoRR, 2022

GrASP: Gradient-Based Affordance Selection for Planning.
CoRR, 2022

On the Turán Number of the Linear $3$-Graph $C_{13}$.
Electron. J. Comb., 2022

A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge.
Artif. Intell. Medicine, 2022

Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions.
Proceedings of the Winter Simulation Conference, 2022

A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Non-stationary A/B Tests.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Research on the Form of "Four-Steps" Open Project Practical Teaching Activities.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

Adaptive Pairwise Weights for Temporal Credit Assignment.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Domain-Guided Noise-Optimization-Based Inversion Method for Facial Image Manipulation.
IEEE Trans. Image Process., 2021

Pose estimation at night in infrared images using a lightweight multi-stage attention network.
Signal Image Video Process., 2021

Automated multi-layer optical design via deep reinforcement learning.
Mach. Learn. Sci. Technol., 2021

Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates.
Oper. Res., 2021

Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization.
CoRR, 2021

Pairwise Weights for Temporal Credit Assignment.
CoRR, 2021

Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training.
Proceedings of the Winter Simulation Conference, 2021

Neural Network-Assisted Simulation Optimization with Covariates.
Proceedings of the Winter Simulation Conference, 2021

Explainable Modeling in Digital Twin.
Proceedings of the Winter Simulation Conference, 2021

Instructions for Authors of Papers Using Latex.
Proceedings of the Winter Simulation Conference, 2021

Efficient Computation for Stratified Splitting.
Proceedings of the Winter Simulation Conference, 2021

Learning State Representations from Random Deep Action-conditional Predictions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic $L^\natural$-convex Function Minimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Planning and Learning under Recovering Rewards.
Proceedings of the 38th International Conference on Machine Learning, 2021

On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Doubly Stochastic Generative Arrivals Modeling.
CoRR, 2020

Automated Optical Multi-layer Design via Deep Reinforcement Learning.
CoRR, 2020

A method for degradation prediction based on Hidden semi-Markov models with mixture of Kernels.
Comput. Ind., 2020

Path Planning Method With Improved Artificial Potential Field - A Reinforcement Learning Perspective.
IEEE Access, 2020

Generating and Editing Arbitrary Facial Images by Learning Feature Axis.
IEEE Access, 2020

New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale.
IEEE Access, 2020

Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method.
Proceedings of the Winter Simulation Conference, 2020

Joint Resource Allocation for Input Data Collection and Simulation.
Proceedings of the Winter Simulation Conference, 2020

When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment.
Proceedings of the 37th International Conference on Machine Learning, 2020

What Can Learned Intrinsic Rewards Capture?
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Ques-Chain: an Ethereum Based E-Voting System.
CoRR, 2019

AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation.
IEEE Access, 2019

Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend.
Proceedings of the 2019 Winter Simulation Conference, 2019

Heterogeneous Assets Market Design.
Proceedings of the 2019 Winter Simulation Conference, 2019

Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Model Loss and Distribution Analysis of Regression Problems in Machine Learning.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018
Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence.
Proceedings of the 2018 Winter Simulation Conference, 2018

A Scalable Approach to Enhancing stochastic Kriging with Gradients.
Proceedings of the 2018 Winter Simulation Conference, 2018

On Learning Intrinsic Rewards for Policy Gradient Methods.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Application Research of AlphaGo Double Decision System in Network Bad Information Recognition.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017
Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares.
Proceedings of the 2017 Winter Simulation Conference, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Parallelizing Sequential Graph Computations.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Using machine learning to predict obesity in high school students.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Extensions of the regenerative method to new functionals.
Proceedings of the Winter Simulation Conference, 2016

A Cloud Computing Platform for Data Analysis Based on R Cluster.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015
Corrosion pitting damage detection of rolling bearings using data mining techniques.
Int. J. Model. Identif. Control., 2015

2014
Least Maintenance Batch Scheduling in Cloud Data Center Networks.
IEEE Commun. Lett., 2014

Early detection of liver disease using data visualisation and classification method.
Biomed. Signal Process. Control., 2014

A new kind of hybrid filter based on the intersecting cortical model and the improved Extremum-and-Median filter.
Artif. Life Robotics, 2014

2013
Green Grooming in a More Realistic and Multidomain Optical Network.
JOCN, 2013

Coordinated resource provisioning and maintenance scheduling in cloud data centers.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

On routing and aggregation of many-to-many sessions over green WDM optical networks.
Proceedings of IEEE International Conference on Communications, 2013

Extracting Events with Informal Temporal References in Personal Histories in Online Communities.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
On the relay selection for cooperative wireless networks with physical-layer network coding.
Wirel. Networks, 2012

Correlation and hierarchies in financial markets.
Artif. Life Robotics, 2012

Supporting collaboration in Wikipedia between language communities.
Proceedings of the 4th International Conference on Intercultural Collaboration, 2012

A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2010
A co-learning framework for learning user search intents from rule-generated training data.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

A Novel Contrast Co-learning Framework for Generating High Quality Training Data.
Proceedings of the ICDM 2010, 2010

Wavelength Assignment Scheme of ONUs in Hybrid TDM/WDM Fiber-Wireless Networks.
Proceedings of IEEE International Conference on Communications, 2010

2009
Almost Optimal Distributed M2M Multicasting in Wireless Mesh Networks.
Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009

A Study of Network Throughput Gain in Optical-Wireless (FiWi) Networks Subject to Peer-to-Peer Communications.
Proceedings of IEEE International Conference on Communications, 2009

ONU Placement in Fiber-Wireless (FiWi) Networks Considering Peer-to-Peer Communications.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries.
Proceedings of the 6th IEEE Consumer Communications and Networking Conference, 2009


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