Gang Huang
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Gang Huang, Ph.D. |
Biography
I am currently a Senior Researcher (equiv. Associate Professor) at Zhejiang Lab, leading a research section for scientific artificial intelligence. I completed the doctoral training at Zhejiang University and Argonne National Laboratory.
Openings
We are actively hiring motivated and energetic researchers/engineers. Visiting scholars and interns are also welcome. Please send me an email if you are interested.
Research Interests
My research interests lie at the intersection of electrical engineering, computer science, and operations research. A common thread in my research is designing reliable and computationally efficient algorithms for mission-critical tasks. Currently, I am working on developing scientific artificial intelligence methods to leverage the power of data and knowledge, with applications in energy and transportation systems.
Latest News
12/2022: Our paper ‘‘OPUPO: Defending Against Membership Inference Attacks With Order-Preserving and Utility-Preserving Obfuscation’’ is accepted by IEEE Transactions on Dependable and Secure Computing.
12/2022: Our paper ‘‘BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain’’ is accepted by IEEE Transactions on Mobile Computing.
12/2022: Our paper ‘‘Dynamic Attention-based CVAE-GAN for Pedestrian Trajectory Prediction’’ is accepted by IEEE Robotics and Automation Letters.
12/2022: I am invited to serve as a Reviewer for the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '23).
11/2022: Two patents for nonintrusive load monitoring are granted.
10/2022: One patent for autonomous driving is granted.
10/2022: Our paper ‘‘Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles’’ is accepted by IEEE Transactions on Intelligent Vehicles.
09/2022: Our paper ‘‘Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring’’ is accepted by IEEE Transactions on Industrial Informatics.
08/2022: One patent for autonomous driving is granted.
07/2022: One patent for optimal power flow is granted.
06/2022: Our paper ‘‘Compound Batch Normalization for Long-tailed Image Classification’’ is accepted by the 30th ACM International Conference on Multimedia (MM '22).
04/2022: Our paper ‘‘Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features’’ is accepted by the 31st International Joint Conference on Artificial Intelligence (IJCAI '22).
04/2022: I am invited to serve as a Program Committee Member for the 2022 European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML '22).
03/2022: I am invited to serve as a Committee Member for the 2022 International Conference on Smart Grid and Energy Systems (SGES '22).
02/2022: Our paper ‘‘Coordinated System Frequency Control with a Hybrid Knowledge-Data Driven Algorithm’’ is accepted by Proceedings of the CSEE.
02/2022: One patent for autonomous driving is granted.
01/2022: Our paper ‘‘Crossmodal Transformer Based Generative Framework for Pedestrian Trajectory Prediction’’ is accepted by the 39th IEEE Conference on Robotics and Automation (ICRA '22).