Zeyu Zheng

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

Known people with the same name:

Bibliography

2026
An integrated IoT and blockchain lightweight framework for secure smart cities.
Discov. Internet Things, December, 2026

The Generalized Trifference Problem.
IEEE Trans. Inf. Theory, May, 2026

Experimentation for Different Scheduling Policies on Queues: Mixed Differences-in-Q Estimators Based on Little's Law.
CoRR, May, 2026

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration.
CoRR, May, 2026

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering.
CoRR, May, 2026

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents.
CoRR, May, 2026

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents.
CoRR, May, 2026

Selection of the Best Policy under Fairness Constraints for Subpopulations.
CoRR, May, 2026

Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents.
CoRR, May, 2026

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents.
CoRR, April, 2026

VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation.
CoRR, April, 2026

AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation.
CoRR, April, 2026

Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization.
CoRR, April, 2026

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering.
CoRR, April, 2026

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw.
CoRR, April, 2026

ClawArena: Benchmarking AI Agents in Evolving Information Environments.
CoRR, April, 2026

Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory.
CoRR, April, 2026

From Physician Expertise to Clinical Agents: Preserving, Standardizing, and Scaling Physicians' Medical Expertise with Lightweight LLM.
CoRR, March, 2026

MetaClaw: Just Talk - An Agent That Meta-Learns and Evolves in the Wild.
CoRR, March, 2026

Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation.
CoRR, March, 2026

In-Context Reinforcement Learning for Tool Use in Large Language Models.
CoRR, March, 2026

Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments.
CoRR, March, 2026

Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks.
CoRR, March, 2026

An Energy-Efficient Edge Coprocessor for Neural Rendering With Explicit Data Reuse Strategies.
IEEE Trans. Very Large Scale Integr. Syst., February, 2026

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.
CoRR, February, 2026

Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane.
CoRR, February, 2026

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation.
CoRR, January, 2026

MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux.
CoRR, January, 2026

SimpleMem: Efficient Lifelong Memory for LLM Agents.
CoRR, January, 2026

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

Enhanced language models for predicting and understanding HIV care disengagement: a case study in Tanzania.
npj Digit. Medicine, 2026

Unity-EDR: A Hybrid Neural-Mesh Rendering System for Efficient Visual Synthesis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience.
CoRR, December, 2025

Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language.
CoRR, December, 2025

OBLR-PO: A Theoretical Framework for Stable Reinforcement Learning.
CoRR, November, 2025

SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations.
CoRR, November, 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

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

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation.
Proceedings of the Forty-second International Conference on Machine Learning, 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

Enhancing Language Model with Both Human and Artificial Intelligence Feedback Data.
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

Normalization and effective learning rates in reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 37: 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

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

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...