Yize Chen

IEEE Trans. Smart Grid, July, 2024

X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection.

[BibT_eX]

[DOI]

CoRR, 2024

C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front.

[BibT_eX]

[DOI]

CoRR, 2024

SEAL: SEmantic-Augmented Imitation Learning via Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

Siyang Li

Hui Xiong

CoRR, 2024

High-Fidelity Mask-free Neural Surface Reconstruction for Virtual Reality.

[BibT_eX]

[DOI]

Haotian Bai

Lin Wang

CoRR, 2024

The Unseen AI Disruptions for Power Grids: LLM-Induced Transients.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Unit Commitment Constraint Screening under Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2024

DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load.

[BibT_eX]

[DOI]

Siyang Li

Hui Xiong

CoRR, 2024

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition.

[BibT_eX]

[DOI]

Yuqi Jiang

Yan Li

CoRR, 2024

Fast Unit Commitment Constraint Screening with Learning-Based Cost Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

Contributions of Individual Generators to Nodal Carbon Emissions.

[BibT_eX]

[DOI]

Deepjyoti Deka

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning and Optimization for Price-Based Demand Response of Electric Vehicle Charging.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

Large Foundation Models for Power Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Long-Term Carbon-Efficient Planning for Geographically Shiftable Resources: A Monte Carlo Tree Search Approach.

[BibT_eX]

[DOI]

Xuan He

Danny H. K. Tsang

CoRR, 2023

Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF.

[BibT_eX]

[DOI]

CoRR, 2023

Laxity-Aware Scalable Reinforcement Learning for HVAC Control.

[BibT_eX]

[DOI]

Ruohong Liu

Yuxin Pan

CoRR, 2023

Learning a Multi-Agent Controller for Shared Energy Storage System.

[BibT_eX]

[DOI]

Ruohong Liu

CoRR, 2023

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.

[BibT_eX]

[DOI]

Mohammad Mehdi Hosseini

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing.

[BibT_eX]

[DOI]

Yuxin Pan

Fangzhen Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning.

[BibT_eX]

[DOI]

Chi Zhang

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

Fast Constraint Screening for Multi-Interval Unit Commitment.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Convex Neural Network Solver for DCOPF With Generalization Guarantees.

[BibT_eX]

[DOI]

Ling Zhang

IEEE Trans. Control. Netw. Syst., 2022

Pontryagin Optimal Controller via Neural Networks.

[BibT_eX]

[DOI]

Chengyang Gu

CoRR, 2022

Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model.

[BibT_eX]

[DOI]

CoRR, 2022

Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Carbon-Aware EV Charging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Learning Task-Aware Energy Disaggregation: a Federated Approach.

[BibT_eX]

[DOI]

Ruohong Liu

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

OEIS: Knowledge Graph based Intelligent Search System in Ocean Engineering.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

2021

IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Hao Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation.

[BibT_eX]

[DOI]

CoRR, 2021

State-of-Charge Aware EV Charging.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding the Safety Requirements for Learning-based Power Systems Operations.

[BibT_eX]

[DOI]

CoRR, 2021

Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2021

2019

Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Battery Operations using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Optimal Control Via Neural Networks: A Convex Approach.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks.

[BibT_eX]

[DOI]

Yushi Tan

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Towards Trusted Social Networks with Blockchain Technology.

[BibT_eX]

[DOI]

Quanlai Li

Hao Wang

CoRR, 2018

Is Machine Learning in Power Systems Vulnerable?

[BibT_eX]

[DOI]

Yushi Tan

Deepjyoti Deka

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Bayesian renewables scenario generation via deep generative networks.

[BibT_eX]

[DOI]

Pan Li

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems.

[BibT_eX]

[DOI]

CoRR, 2017

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Modeling and optimization of complex building energy systems with deep neural networks.

[BibT_eX]

[DOI]