Haoxiang Wang | Automation, Tsinghua University

About Me

I am a Ph.D. student at the Department of Automation, Tsinghua University. Before I start my Ph.D. journey, I received my Master’s degree at the Institution for Interdisciplinary Information Science (IIIS), Tsinghua University. My advisor is Chenye Wu, who is advised by Andrew Chi-Chih Yao. Before entering IIIS, I am a bachelor in the Department of Thermal Engineering.

My research interests are physical simulation (especially fluid) and animation. I hope to make a fast simulator with larger geometry flexibility for both robotics and inverse design. Indeed, I am still active in stochastic analysis and different privacy. Welcome for communication if you are interested in my work on these topics!

Publications

Privacy Computation in Machine Learning

Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
Haoxiang Wang, Jiangsheng Zhang, Chenbei Lu, Chenye Wu
accepted by IEEE Transactions on Smart Grid (IF=8.96).
[PDF] [doi]
Understanding Differential Privacy in Non-Intrusive Load Monitoring
Haoxiang Wang, Chenye Wu,
accepted by e-Energy ‘20.
[PDF] [doi]
Differential Privacy in Consumer Behavior Analysis
Haoxiang Wang, Xun Luo, Chenye Wu,
accepted by IEEE PES General Meeting 2021.
[PDF] [Talk]
Privacy Preservation for Time Series Data in the Electricity Sector
Haoxiang Wang, Jiangsheng Zhang, Chenbei Lu, Chenye Wu
accepted by IEEE Transactions on Smart Grid (IF=8.96).
[PDF] [doi]
Asynchronous Training Schemes in Distributed Learning with Time Delay
Haoxiang Wang, Zhanhong Jiang, Chao Liu
working paper.
[PDF]
Federated Learning with Classifier Shift for Class Imbalance
Yuheng Shen, Haoxiang Wang, Hairong Lv
working paper.
[PDF]

Mechanism Design and Pricing

Optimal Green Certificate Auction Considering Economic Dispatch
Haoxiang Wang, Chenye Wu
accepted by e-Energy ‘22.’ [PDF][doi]
Vulnerability Analysis for Data Driven Pricing Schemes
Jingshi Cui, Haoxiang Wang, Chenye Wu
accepted by IEEE PES General Meeting.
[PDF] [doi]
Robust Data-driven Profile-based Pricing Schemes
Jingshi Cui, Haoxiang Wang, Chenye Wu
accepted by IEEE ISGT NA 2021.
[PDF]
Bridging Chance-constrained and Robust Optimization in an Emission-aware Economic Dispatch with Energy Storage
Nan Gu, Haoxiang Wang, Jiangsheng Zhang, Chenye Wu
accepted by IEEE transactions on power system (Top for electrical engineering).
[doi]

Practical Application

Collaborative deep learning framework for fault diagnosis in distributed complex systems
Haoxiang Wang, Chao Liu, Dongxiang Jiang, Zhanhong Jiang
accepted by Mechanical Systems and Signal Processing (IF=6.4).
[PDF] [doi]

Project

	Physical simluation for plasma ignition Use OpenFOAM to conduct the simluation for plasma ignition. Constrcut a simple framework to simulation this phenomenon and try to find the insights for engineering. [code]
	Homework for Games 101
	Normal mapping and Displacement mapping Conduct basic texture mapping and normal mapping with simple soft rendering pipeline. [code]
	Whitted-Style Ray tracing Conduct ray tracing with BVH acceleration for simple CornellBox. [code]
	Homework for Games 202
	PCF and PCSS for soft shadow Conduct PCF and PCSS compared with simple two pass shadow map and derive some sights for soft shadow. [code]
	Precomputed Radiance Transfer Conduct PCF and PCSS compared with simple two pass shadow map and derive some sights for soft shadow. [code]
	CCF&DIDI time and spatial prediction Predict the roads' degree of crowdedness with the history time data and the spatial data of the road. We got the rank 13 for 200 competitors. [code]