Haoyu Wang

Orcid: 0000-0002-3604-4799

Affiliations:
  • University of Virginia, Charlottesville, VA, USA


According to our database1, Haoyu Wang authored at least 40 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.
CoRR, October, 2025

AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play.
CoRR, September, 2025

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation.
CoRR, July, 2025

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies.
CoRR, July, 2025

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO<sub>2</sub> Storage.
CoRR, May, 2025

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration.
CoRR, April, 2025

Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression.
CoRR, February, 2025

2024
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection.
CoRR, 2024

Cross-video Identity Correlating for Person Re-identification Pre-training.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Following the "Thread": Toward Finding Manipulatable Bottlenecks in Blockchain Clients.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Mask-ControlNet: Higher-Quality Image Generation with an Additional Mask Prompt.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter.
IEEE Trans. Parallel Distributed Syst., March, 2023

Machine Learning Feature Based Job Scheduling for Distributed Machine Learning Clusters.
IEEE/ACM Trans. Netw., February, 2023

Cooperative Job Scheduling and Data Allocation in Data-Intensive Parallel Computing Clusters.
IEEE Trans. Cloud Comput., 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

2022
NCC: Neighbor-aware Congestion Control based on Reinforcement Learning for Datacenter Networks.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
Towards Deadline Guaranteed Cloud Storage Services.
IEEE Trans. Serv. Comput., 2021

Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

GeoCol: A Geo-distributed Cloud Storage System with Low Cost and Latency using Reinforcement Learning.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Machine Learning for Load Balancing in Cloud Datacenters.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Improved Intermediate Data Management for MapReduce Frameworks.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Reinforcement Learning Based System for Minimizing Cloud Storage Service Cost.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Machine Learning Based Workload Prediction in Cloud Computing.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Job scheduling for large-scale machine learning clusters.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

2019
Cooperative Job Scheduling and Data Allocation for Busy Data-Intensive Parallel Computing Clusters.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Task Failure Prediction in Cloud Data Centers Using Deep Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Toward Efficient Short-Video Sharing in the YouTube Social Network.
ACM Trans. Internet Techn., 2018

Proactive Incast Congestion Control in a Datacenter Serving Web Applications.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Approaches for Resilience against Cascading Failures in Cloud Datacenters.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
An Economical and SLO-Guaranteed Cloud Storage Service Across Multiple Cloud Service Providers.
IEEE Trans. Parallel Distributed Syst., 2017

Towards Long-View Computing Load Balancing in Cluster Storage Systems.
IEEE Trans. Parallel Distributed Syst., 2017

SocialQ&A: An Online Social Network Based Question and Answer System.
IEEE Trans. Big Data, 2017

Swarm-based Incast Congestion Control in Datacenters Serving Web Applications.
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, 2017

HealthEdge: Task scheduling for edge computing with health emergency and human behavior consideration in smart homes.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Deadline Guaranteed Service for Multi-Tenant Cloud Storage.
IEEE Trans. Parallel Distributed Syst., 2016

2015
Computing load aware and long-view load balancing for cluster storage systems.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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