Xianzhong Ding

Orcid: 0000-0001-6114-2801

According to our database1, Xianzhong Ding authored at least 23 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field.
ACM Trans. Sens. Networks, July, 2024

Exploring Deep Reinforcement Learning for Holistic Smart Building Control.
ACM Trans. Sens. Networks, May, 2024

Slim-ABC: An Optimized Atomic Broadcast Protocol.
CoRR, 2024

Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base.
CoRR, 2024

Prioritized-MVBA: A New Approach to Design an Optimal Asynchronous Byzantine Agreement Protocol.
CoRR, 2024

Reward Bound for Behavioral Guarantee of Model-based Planning Agents.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Cyber-Physical Systems Optimization with Reinforcement Learning: Methods and Applications
PhD thesis, 2023

Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning.
CoRR, 2023

TODOS: Thermal sensOr Data-driven Occupancy Estimation System for Smart Buildings.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Poster Abstract: Data Efficient HVAC Control using Gaussian Process-based Reinforcement Learning.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

HPC-GPT: Integrating Large Language Model for High-Performance Computing.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Data Race Detection Using Large Language Models.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022
Poster Abstract: Smart Irrigation Control Using Deep Reinforcement Learning.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

DRLIC: Deep Reinforcement Learning for Irrigation Control.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

MODES: multi-sensor occupancy data-driven estimation system for smart buildings.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021
Building sensor fault detection and diagnostic system.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020
MB2C: Model-Based Deep Reinforcement Learning for Multi-zone Building Control.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Continuous, Real-Time Object Detection on Mobile Devices without Offloading.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019
OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2017
Unified nvTCAM and sTCAM architecture for improving packet matching performance.
Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, 2017

2016
Energy Efficient Routing Algorithm Using Software Defining Network for WSNs via Unequal Clustering.
Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016


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