Yize Chen

According to our database, Yize Chen authored at least 40 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu

CoRR, 2024

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

Siyang Li, Hui Xiong, Yize Chen

CoRR, 2024

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

Yuqi Jiang, Yan Li, Yize Chen

CoRR, 2024

Contributions of Individual Generators to Nodal Carbon Emissions.

Yize Chen, Deepjyoti Deka, Yuanyuan Shi

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

2023

Large Foundation Models for Power Systems.

Chenghao Huang, Siyang Li, Ruohong Liu, Hao Wang, Yize Chen

CoRR, 2023

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

Xuan He, Danny H. K. Tsang, Yize Chen

CoRR, 2023

DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model.

Siyang Li, Hui Xiong, Yize Chen

CoRR, 2023

Laxity-Aware Scalable Reinforcement Learning for HVAC Control.

Ruohong Liu, Yuxin Pan, Yize Chen

CoRR, 2023

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

Ruohong Liu, Yize Chen

CoRR, 2023

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.

Christopher Yeh, Victor Li, Rajeev Datta, Julio Arroyo, Nicolas Christianson, Chi Zhang, Yize Chen, Mohammad Mehdi Hosseini, Azarang Golmohammadi, Yuanyuan Shi, Yisong Yue, Adam Wierman

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.

Yuxin Pan, Yize Chen, 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.

Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang

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

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

Chi Zhang, Yuanyuan Shi, Yize Chen

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

Fast Constraint Screening for Multi-Interval Unit Commitment.

Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen

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

2022

A Convex Neural Network Solver for DCOPF With Generalization Guarantees.

Ling Zhang, Yize Chen, Baosen Zhang

IEEE Trans. Control. Netw. Syst., 2022

Pontryagin Optimal Controller via Neural Networks.

Chengyang Gu, Yize Chen

CoRR, 2022

Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model.

Xuan He, Honglin Wen, Yufan Zhang, Yize Chen

CoRR, 2022

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

Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen

CoRR, 2022

Carbon-Aware EV Charging.

Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen

Proceedings of the IEEE International Conference on Communications, 2022

A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation.

Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

Learning Task-Aware Energy Disaggregation: a Federated Approach.

Ruohong Liu, Yize Chen

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

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

Rui Zhu, Xiaoqing Wu, Yanna Hu, Yize Chen, Bo Liu

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.

Daniel Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert

Proceedings of the American Control Conference, 2022

2021

IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning.

Yize Chen, Hao Wang

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

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

Lei Wang, Juan Gu, Yize Chen, Yuanbo Liang, Weijie Zhang, Jiantao Pu, Hao Chen

Pattern Recognit., 2021

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

Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert

CoRR, 2021

State-of-Charge Aware EV Charging.

Yize Chen, Baosen Zhang

CoRR, 2021

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

Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi

CoRR, 2021

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

Yize Chen, Daniel B. Arnold, Yuanyuan Shi, Sean Peisert

CoRR, 2021

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

Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang

Proceedings of the IEEE International Conference on Communications, 2021

2019

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

Congmei Jiang, Yize Chen, Yongfang Mao, Yi Chai, Mingbiao Yu

CoRR, 2019

Stochastic Battery Operations using Deep Neural Networks.

Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov

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

Optimal Control Via Neural Networks: A Convex Approach.

Yize Chen, Yuanyuan Shi, Baosen Zhang

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

Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks.

Yize Chen, Yushi Tan, Baosen Zhang

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

2018

Towards Trusted Social Networks with Blockchain Technology.

Yize Chen, Quanlai Li, Hao Wang

CoRR, 2018

Is Machine Learning in Power Systems Vulnerable?

Yize Chen, Yushi Tan, Deepjyoti Deka

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Bayesian renewables scenario generation via deep generative networks.

Yize Chen, Pan Li, Baosen Zhang

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

2017

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

Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran

CoRR, 2017

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks.

Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang

CoRR, 2017

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

Yize Chen, Yuanyuan Shi, Baosen Zhang

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017