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2020 – today
- 2024
[j4]Siyang Li
, Hui Xiong, Yize Chen:
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. IEEE Trans. Smart Grid 15(4): 3936-3949 (2024)- [c20]Chengyang Gu, Yuxin Pan, Ruohong Liu, Yize Chen:
Learning and Optimization for Price-Based Demand Response of Electric Vehicle Charging. ACC 2024: 3625-3630 - [c19]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. CVPR Workshops 2024: 4324-4333 - [c18]Yize Chen, Deepjyoti Deka, Yuanyuan Shi:
Contributions of Individual Generators to Nodal Carbon Emissions. e-Energy 2024: 72-78 - [i39]Yuqi Jiang, Yan Li, Yize Chen:
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition. CoRR abs/2402.11664 (2024) - [i38]Siyang Li, Hui Xiong, Yize Chen:
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load. CoRR abs/2402.13548 (2024) - [i37]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 abs/2403.14077 (2024) - [i36]Chengyang Gu, Yuxin Pan, Ruohong Liu, Yize Chen:
Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging. CoRR abs/2404.10311 (2024) - [i35]Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang:
Efficient Unit Commitment Constraint Screening under Uncertainty. CoRR abs/2408.05185 (2024) - [i34]Yuzhuo Li, Mariam Mughees, Yize Chen, Yunwei Ryan Li:
The Unseen AI Disruptions for Power Grids: LLM-Induced Transients. CoRR abs/2409.11416 (2024) - [i33]Haotian Bai, Yize Chen, Lin Wang:
High-Fidelity Mask-free Neural Surface Reconstruction for Virtual Reality. CoRR abs/2409.13158 (2024) - [i32]Siyang Li, Yize Chen, Hui Xiong:
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting. CoRR abs/2410.02168 (2024) - [i31]Chengyang Gu, Yuxin Pan, Haotian Bai, Hui Xiong, Yize Chen:
SEAL: SEmantic-Augmented Imitation Learning via Language Model. CoRR abs/2410.02231 (2024) - [i30]Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian:
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front. CoRR abs/2410.02236 (2024) - 2023
- [c17]Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen:
Fast Constraint Screening for Multi-Interval Unit Commitment. CDC 2023: 577-583 - [c16]Chi Zhang, Yuanyuan Shi, Yize Chen:
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. e-Energy 2023: 66-71 - [c15]Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang:
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. ICCV 2023: 8751-8761 - [c14]Yuxin Pan, Yize Chen, Fangzhen Lin:
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. NeurIPS 2023 - [c13]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 - [i29]Ruohong Liu, Yize Chen:
Learning a Multi-Agent Controller for Shared Energy Storage System. CoRR abs/2302.08328 (2023) - [i28]Ruohong Liu, Yuxin Pan, Yize Chen:
Laxity-Aware Scalable Reinforcement Learning for HVAC Control. CoRR abs/2306.16619 (2023) - [i27]Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang:
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. CoRR abs/2307.15333 (2023) - [i26]Siyang Li, Hui Xiong, Yize Chen:
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. CoRR abs/2308.09857 (2023) - [i25]Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen:
Fast Constraint Screening for Multi-Interval Unit Commitment. CoRR abs/2309.05894 (2023) - [i24]Yuxin Pan, Yize Chen, Fangzhen Lin:
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. CoRR abs/2310.04323 (2023) - [i23]Yize Chen, Deepjyoti Deka, Yuanyuan Shi:
Contributions of Individual Generators to Nodal Carbon Emissions. CoRR abs/2311.03712 (2023) - [i22]Xuan He, Danny H. K. Tsang, Yize Chen:
Long-Term Carbon-Efficient Planning for Geographically Shiftable Resources: A Monte Carlo Tree Search Approach. CoRR abs/2312.06144 (2023) - [i21]Chenghao Huang, Siyang Li, Ruohong Liu, Hao Wang, Yize Chen:
Large Foundation Models for Power Systems. CoRR abs/2312.07044 (2023) - 2022
- [j3]Ling Zhang, Yize Chen, Baosen Zhang:
A Convex Neural Network Solver for DCOPF With Generalization Guarantees. IEEE Trans. Control. Netw. Syst. 9(2): 719-730 (2022) - [c12]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: 4559-4566 - [c11]Rui Zhu, Xiaoqing Wu, Yanna Hu, Yize Chen, Bo Liu:
OEIS: Knowledge Graph based Intelligent Search System in Ocean Engineering. CBD 2022: 151-156 - [c10]Ruohong Liu, Yize Chen:
Learning Task-Aware Energy Disaggregation: a Federated Approach. CDC 2022: 4412-4418 - [c9]Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu:
A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. ICDM 2022: 823-832 - [c8]Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen:
Carbon-Aware EV Charging. SmartGridComm 2022: 186-192 - [i20]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 abs/2201.11825 (2022) - [i19]Ruohong Liu, Yize Chen:
Learning Task-Aware Energy Disaggregation: a Federated Approach. CoRR abs/2204.06767 (2022) - [i18]Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen:
Carbon-Aware EV Charging. CoRR abs/2209.12373 (2022) - [i17]Chi Zhang, Yuanyuan Shi, Yize Chen:
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. CoRR abs/2211.14744 (2022) - [i16]Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen:
Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. CoRR abs/2211.14806 (2022) - [i15]Xuan He, Honglin Wen, Yufan Zhang, Yize Chen:
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. CoRR abs/2212.00483 (2022) - [i14]Chengyang Gu, Yize Chen:
Pontryagin Optimal Controller via Neural Networks. CoRR abs/2212.14566 (2022) - 2021
- [j2]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: 107810 (2021) - [j1]Yize Chen, Hao Wang:
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 840-845 (2021) - [c7]Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang:
Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. SmartGridComm 2021: 398-404 - [i13]Yize Chen, Daniel B. Arnold, Yuanyuan Shi, Sean Peisert:
Understanding the Safety Requirements for Learning-based Power Systems Operations. CoRR abs/2110.04983 (2021) - [i12]Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi:
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training. CoRR abs/2110.08956 (2021) - [i11]Yize Chen, Baosen Zhang:
State-of-Charge Aware EV Charging. CoRR abs/2111.15147 (2021) - [i10]Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert:
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. CoRR abs/2111.15152 (2021) - 2020
- [i9]Ling Zhang, Yize Chen, Baosen Zhang:
A Convex Neural Network Solver for DCOPF with Generalization Guarantees. CoRR abs/2009.09109 (2020)
2010 – 2019
- 2019
- [c6]Yize Chen, Yushi Tan, Baosen Zhang:
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. e-Energy 2019: 1-11 - [c5]Yize Chen, Yuanyuan Shi, Baosen Zhang:
Optimal Control Via Neural Networks: A Convex Approach. ICLR (Poster) 2019 - [c4]Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov:
Stochastic Battery Operations using Deep Neural Networks. ISGT 2019: 1-5 - [i8]Congmei Jiang, Yize Chen, Yongfang Mao, Yi Chai, Mingbiao Yu:
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. CoRR abs/1903.05274 (2019) - [i7]Yize Chen, Yushi Tan, Baosen Zhang:
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. CoRR abs/1904.06606 (2019) - 2018
- [c3]Yize Chen, Pan Li, Baosen Zhang:
Bayesian renewables scenario generation via deep generative networks. CISS 2018: 1-6 - [c2]Yize Chen, Yushi Tan, Deepjyoti Deka:
Is Machine Learning in Power Systems Vulnerable? SmartGridComm 2018: 1-6 - [i6]Yize Chen, Quanlai Li, Hao Wang:
Towards Trusted Social Networks with Blockchain Technology. CoRR abs/1801.02796 (2018) - [i5]Yize Chen, Pan Li, Baosen Zhang:
Bayesian Renewables Scenario Generation via Deep Generative Networks. CoRR abs/1802.00868 (2018) - [i4]Yize Chen, Yushi Tan, Deepjyoti Deka:
Is Machine Learning in Power Systems Vulnerable? CoRR abs/1808.08197 (2018) - [i3]Yize Chen, Hao Wang:
IntelligentCrowd: Mobile Crowdsensing via Multi-agent Reinforcement Learning. CoRR abs/1809.07830 (2018) - 2017
- [c1]Yize Chen, Yuanyuan Shi, Baosen Zhang:
Modeling and optimization of complex building energy systems with deep neural networks. ACSSC 2017: 1368-1373 - [i2]Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. CoRR abs/1703.04318 (2017) - [i1]Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang:
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR abs/1707.09676 (2017)
Coauthor Index
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last updated on 2024-11-08 21:28 CET by the dblp team
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