Yize Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 55

Top Topics

Intelligent Search

Monte Carlo Tree Search

Reinforcement Learning

Top Venues

Publications

Siyang Li, Hui Xiong, Yize Chen
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. IEEE Trans. Smart Grid 15 (4) (2024)
Siyang Li, Hui Xiong, Yize Chen
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load. CoRR (2024)
Chengyang Gu, Yuxin Pan, Ruohong Liu, Yize Chen
Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging. CoRR (2024)
Yuqi Jiang, Yan Li, Yize Chen
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition. CoRR (2024)
Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CoRR (2024)
Yize Chen, Deepjyoti Deka, Yuanyuan Shi
Contributions of Individual Generators to Nodal Carbon Emissions. e-Energy (2024)
Yuxin Pan, Yize Chen, Fangzhen Lin
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. NeurIPS (2023)
Chenghao Huang, Siyang Li, Ruohong Liu, Hao Wang, Yize Chen
Large Foundation Models for Power Systems. CoRR (2023)
Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. ICCV (2023)
Chi Zhang, Yuanyuan Shi, Yize Chen
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. e-Energy (2023)
Ruohong Liu, Yize Chen
Learning a Multi-Agent Controller for Shared Energy Storage System. CoRR (2023)
Ruohong Liu, Yuxin Pan, Yize Chen
Laxity-Aware Scalable Reinforcement Learning for HVAC Control. CoRR (2023)
Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
Fast Constraint Screening for Multi-Interval Unit Commitment. CoRR (2023)
Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
Fast Constraint Screening for Multi-Interval Unit Commitment. CDC (2023)
Siyang Li, Hui Xiong, Yize Chen
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. CoRR (2023)
Yuxin Pan, Yize Chen, Fangzhen Lin
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. CoRR (2023)
Yize Chen, Deepjyoti Deka, Yuanyuan Shi
Contributions of Individual Generators to Nodal Carbon Emissions. CoRR (2023)
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
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS (2023)
Xuan He, Danny H. K. Tsang, Yize Chen
Long-Term Carbon-Efficient Planning for Geographically Shiftable Resources: A Monte Carlo Tree Search Approach. CoRR (2023)
Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. CoRR (2023)
Chengyang Gu, Yize Chen
Pontryagin Optimal Controller via Neural Networks. CoRR (2022)
Rui Zhu, Xiaojun Wu, Yanna Hu, Yize Chen, Bo Liu
OEIS: Knowledge Graph based Intelligent Search System in Ocean Engineering. CBD (2022)
Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu
A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. ICDM (2022)
Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen
Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. CoRR (2022)
Xuan He, Honglin Wen, Yufan Zhang, Yize Chen
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. CoRR (2022)
Ruohong Liu, Yize Chen
Learning Task-Aware Energy Disaggregation: a Federated Approach. CoRR (2022)
Ruohong Liu, Yize Chen
Learning Task-Aware Energy Disaggregation: a Federated Approach. CDC (2022)
Ling Zhang, Yize Chen, Baosen Zhang
A Convex Neural Network Solver for DCOPF With Generalization Guarantees. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Chi Zhang, Yuanyuan Shi, Yize Chen
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. CoRR (2022)
Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
Carbon-Aware EV Charging. CoRR (2022)
Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
Carbon-Aware EV Charging. SmartGridComm (2022)
Daniel Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert
Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. ACC (2022)
Daniel B. Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert
Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. CoRR (2022)
Lei Wang, Juan Gu, Yize Chen, Yuanbo Liang, Weijie Zhang, Jiantao Pu, Hao Chen
Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network. Pattern Recognit. 112 (2021)
Yize Chen, Daniel B. Arnold, Yuanyuan Shi, Sean Peisert
Understanding the Safety Requirements for Learning-based Power Systems Operations. CoRR (2021)
Yize Chen, Baosen Zhang
State-of-Charge Aware EV Charging. CoRR (2021)
Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training. CoRR (2021)
Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. CoRR (2021)
Yize Chen, Hao Wang
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5 (5) (2021)
Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang
Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. SmartGridComm (2021)
Ling Zhang, Yize Chen, Baosen Zhang
A Convex Neural Network Solver for DCOPF with Generalization Guarantees. CoRR (2020)
Yize Chen, Yuanyuan Shi, Baosen Zhang
Optimal Control Via Neural Networks: A Convex Approach. ICLR (Poster) (2019)
Yize Chen, Yushi Tan, Baosen Zhang
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. e-Energy (2019)
Yize Chen, Yushi Tan, Baosen Zhang
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. CoRR (2019)
Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov
Stochastic Battery Operations using Deep Neural Networks. ISGT (2019)
Congmei Jiang, Yize Chen, Yongfang Mao, Yi Chai, Mingbiao Yu
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. CoRR (2019)
Yize Chen, Hao Wang
IntelligentCrowd: Mobile Crowdsensing via Multi-agent Reinforcement Learning. CoRR (2018)
Yize Chen, Pan Li, Baosen Zhang
Bayesian renewables scenario generation via deep generative networks. CISS (2018)
Yize Chen, Quanlai Li, Hao Wang
Towards Trusted Social Networks with Blockchain Technology. CoRR (2018)
Yize Chen, Yushi Tan, Deepjyoti Deka
Is Machine Learning in Power Systems Vulnerable? CoRR (2018)
Yize Chen, Yushi Tan, Deepjyoti Deka
Is Machine Learning in Power Systems Vulnerable? SmartGridComm (2018)
Yize Chen, Pan Li, Baosen Zhang
Bayesian Renewables Scenario Generation via Deep Generative Networks. CoRR (2018)
Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR (2017)
Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. CoRR (2017)
Yize Chen, Yuanyuan Shi, Baosen Zhang
Modeling and optimization of complex building energy systems with deep neural networks. ACSSC (2017)