Haoxiang Wang | IIIS, Tsinghua University

About Me

I am a Master student at 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 Department of Thermal Engineering.

Researches for about both computer science and fulid and thermal transportation are my interests now. I hope I could participate in the interdisciplinary area for this two topics, like phyiscal simulation or physically based computer graphics. Certainly, I am still active for the privacy computing and mechanism design and welcome for communciation if we are interested in my work about these topic!

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]
Asynchronous Training Schemes in Distributed Learning with Time Delay
Haoxiang Wang, Zhanhong Jiang, Chao Liu
under review for NeurIPS 2021.
[PDF]
Federated Learning with Classifier Shift for Class Imbalance
Yuheng Shen, Haoxiang Wang, Hairong Lv
under review for NeurIPS 2021.
[PDF]

Mechanism Design and Pricing

Optimal Green Certificate Auction Considering Economic Dispatch
Haoxiang Wang, Chenye Wu
Working Paper.’ [PDF]
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).

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]
Thompson Sampling Based on Deep Representation
Lu Wang, HM D, Wang Zhe, Haoxiang Wang
under review for NeurIPS 2021.
[PDF]

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]