Zeyu Zheng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Time series adaptive mode decomposition (TAMD): Method for improving forecasting accuracy in the apparel industry.
Pattern Recognit., 2026

2025
Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales.
CoRR, October, 2025

A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models.
CoRR, October, 2025

Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers.
CoRR, September, 2025

OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning.
CoRR, September, 2025

IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis.
CoRR, May, 2025

The generalized trifference problem.
CoRR, May, 2025

Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation.
CoRR, April, 2025

Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information.
CoRR, January, 2025

Interactive dual contrastive fusion for multi-view clustering with local structure preservation.
Neurocomputing, 2025

A traditional Chinese medicine prescription recommendation model based on contrastive pre-training and hierarchical structure network.
Expert Syst. Appl., 2025

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

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

Symbolic Music Generation with Fine-grained Interactive Textural Guidance.
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

Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data.
Proceedings of the Winter Simulation Conference, 2024

LLM Enhanced Machine Learning Estimators for Classification.
Proceedings of the Winter Simulation Conference, 2024

Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents.
Proceedings of the Winter Simulation Conference, 2024

A Preliminary Study on Accelerating Simulation Optimization With GPU Implementation.
Proceedings of the Winter Simulation Conference, 2024

Normalization and effective learning rates in reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Disentangling the Causes of Plasticity Loss in Neural Networks.
Proceedings of the Conference on Lifelong Learning Agents, 2024

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

2023
Best Arm Identification with Fairness Constraints on Subpopulations.
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

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
Advances in Deep Reinforcement Learning: Intrinsic Rewards, Temporal Credit Assignment, State Representations, and Value-equivalent Models
PhD thesis, 2022

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

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

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

Instructions for Authors of Papers Using Latex.
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

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

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

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
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
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

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

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

2006
A Natural Language Model of Computing with Words in Web Pages.
Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, 2006


  Loading...