Modeling and optimization of complex building energy systems with deep neural networks. - Yize Chen; Yuanyuan Shi; Baosen Zhang (ACSSC, 2017)

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. - Yize Chen; Yishen Wang; Daniel S. Kirschen; Baosen Zhang (CoRR, 2017)

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. - Hossein Hosseini; Yize Chen; Sreeram Kannan; Baosen Zhang; Radha Poovendran (CoRR, 2017)

Bayesian renewables scenario generation via deep generative networks. - Yize Chen; Pan Li 004; Baosen Zhang (CISS, 2018)

Is Machine Learning in Power Systems Vulnerable? - Yize Chen; Yushi Tan; Deepjyoti Deka (SmartGridComm, 2018)

Towards Trusted Social Networks with Blockchain Technology. - Yize Chen; Quanlai Li; Hao Wang 026 (CoRR, 2018)

Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. - Yize Chen; Yushi Tan; Baosen Zhang (e-Energy, 2019)

Optimal Control Via Neural Networks: A Convex Approach. - Yize Chen; Yuanyuan Shi; Baosen Zhang (ICLR (Poster), 2019)

Stochastic Battery Operations using Deep Neural Networks. - Yize Chen; Md Umar Hashmi; Deepjyoti Deka; Michael Chertkov (ISGT, 2019)

Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. - Congmei Jiang; Yize Chen; Yongfang Mao; Yi Chai; Mingbiao Yu (CoRR, 2019)

Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. - Yize Chen; Yushi Tan; Ling Zhang; Baosen Zhang (SmartGridComm, 2021)

Understanding the Safety Requirements for Learning-based Power Systems Operations. - Yize Chen; Daniel B. Arnold; Yuanyuan Shi; Sean Peisert (CoRR, 2021)

Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training. - Alexander Pan; Yongkyun Lee; Huan Zhang 001; Yize Chen; Yuanyuan Shi (CoRR, 2021)

State-of-Charge Aware EV Charging. - Yize Chen; Baosen Zhang (CoRR, 2021)

SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. - Yize Chen; Yuanyuan Shi; Daniel B. Arnold; Sean Peisert (CoRR, 2021)

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network. - Lei Wang 163; Juan Gu; Yize Chen; Yuanbo Liang; Weijie Zhang; Jiantao Pu; Hao Chen 101 (Pattern Recognit., 2021)

IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning. - Yize Chen; Hao Wang 016 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. - Daniel Arnold 001; Sy-Toan Ngo; Ciaran M. Roberts; Yize Chen; Anna Scaglione; Sean Peisert (ACC, 2022)

OEIS: Knowledge Graph based Intelligent Search System in Ocean Engineering. - Rui Zhu; Xiaoqing Wu; Yanna Hu; Yize Chen; Bo Liu 004 (CBD, 2022)

Learning Task-Aware Energy Disaggregation: a Federated Approach. - Ruohong Liu; Yize Chen (CDC, 2022)

A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. - Qingyan Zhu; Yize Chen; Hao Wang 026; Zhenyu Zeng; Hao Liu (ICDM, 2022)

Carbon-Aware EV Charging. - Kai-Wen Cheng; Yuexin Bian; Yuanyuan Shi; Yize Chen (SmartGridComm, 2022)

Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. - Yufan Zhang; Honglin Wen; Tao Feng; Yize Chen (CoRR, 2022)

Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. - Xuan He; Honglin Wen; Yufan Zhang; Yize Chen (CoRR, 2022)

Pontryagin Optimal Controller via Neural Networks. - Chengyang Gu; Yize Chen (CoRR, 2022)

A Convex Neural Network Solver for DCOPF With Generalization Guarantees. - Ling Zhang; Yize Chen; Baosen Zhang (IEEE Trans. Control. Netw. Syst., 2022)

Fast Constraint Screening for Multi-Interval Unit Commitment. - Xuan He; Jiayu Tian; Yufan Zhang; Honglin Wen; Yize Chen (CDC, 2023)

BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. - Chi Zhang; Yuanyuan Shi; Yize Chen (e-Energy, 2023)

Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. - Haotian Bai; Yiqi Lin; Yize Chen; Lin Wang 025 (ICCV, 2023)

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. - Yuxin Pan; Yize Chen; Fangzhen Lin (NeurIPS, 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 (NeurIPS, 2023)

Learning a Multi-Agent Controller for Shared Energy Storage System. - Ruohong Liu; Yize Chen (CoRR, 2023)

Laxity-Aware Scalable Reinforcement Learning for HVAC Control. - Ruohong Liu; Yuxin Pan; Yize Chen (CoRR, 2023)

Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. - Haotian Bai; Yiqi Lin; Yize Chen; Lin Wang (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)

Large Foundation Models for Power Systems. - Chenghao Huang; Siyang Li 003; Ruohong Liu; Hao Wang; Yize Chen (CoRR, 2023)

Learning and Optimization for Price-Based Demand Response of Electric Vehicle Charging. - Chengyang Gu; Yuxin Pan; Ruohong Liu; Yize Chen (ACC, 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 002; Yan Ju; Chuanbo Hu; Xin Li 005; Baoyuan Wu; Siwei Lyu (CVPR Workshops, 2024)

Contributions of Individual Generators to Nodal Carbon Emissions. - Yize Chen; Deepjyoti Deka; Yuanyuan Shi (e-Energy, 2024)

Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights. - Di Shi; Qiang Zhang; Mingguo Hong; Fengyu Wang; Slava Maslennikov; Xiaochuan Luo; Yize Chen (ISGT EUROPE, 2024)

Fast Unit Commitment Constraint Screening with Learning-Based Cost Model. - Xuan He; Honglin Wen; Yufan Zhang; Yize Chen; Danny H. K. Tsang (SmartGridComm, 2024)

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition. - Yuqi Jiang; Yan Li; Yize Chen (CoRR, 2024)

DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load. - Siyang Li 003; Hui Xiong 001; Yize Chen (CoRR, 2024)

Efficient Unit Commitment Constraint Screening under Uncertainty. - Xuan He; Honglin Wen; Yufan Zhang; Yize Chen; Danny H. K. Tsang (CoRR, 2024)

The Unseen AI Disruptions for Power Grids: LLM-Induced Transients. - Yuzhuo Li; Mariam Mughees; Yize Chen; Yunwei Ryan Li (CoRR, 2024)

High-Fidelity Mask-free Neural Surface Reconstruction for Virtual Reality. - Haotian Bai; Yize Chen; Lin Wang (CoRR, 2024)

Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting. - Siyang Li 003; Yize Chen; Hui Xiong 001 (CoRR, 2024)

SEAL: SEmantic-Augmented Imitation Learning via Language Model. - Chengyang Gu; Yuxin Pan; Haotian Bai; Hui Xiong; Yize Chen (CoRR, 2024)

C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front. - Ruohong Liu; Yuxin Pan; Linjie Xu; Lei Song 001; Pengcheng You; Yize Chen; Jiang Bian 002 (CoRR, 2024)

X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection. - Yize Chen; Zhiyuan Yan 002; Siwei Lyu; Baoyuan Wu (CoRR, 2024)

Long Term Memory: The Foundation of AI Self-Evolution. - Xun Jiang; Feng Li; Han Zhao; Jiaying Wang; Jun Shao; Shihao Xu; Shu Zhang; Weiling Chen; Xavier Tang; Yize Chen; Mengyue Wu; Weizhi Ma; et al. (CoRR, 2024)

Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights. - Di Shi; Qiang Zhang 023; Mingguo Hong; Fengyu Wang; Slava Maslennikov; Xiaochuan Luo; Yize Chen (CoRR, 2024)

Is Locational Marginal Price All You Need for Locational Marginal Emission? - Xuan He; Danny H. K. Tsang; Yize Chen (CoRR, 2024)

On the Compositional Generalization of Multimodal LLMs for Medical Imaging. - Zhenyang Cai; Junying Chen; Rongsheng Wang; Weihong Wang; Yonglin Deng; Dingjie Song; Yize Chen; Zixu Zhang; Benyou Wang (CoRR, 2024)

DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. - Siyang Li 003; Hui Xiong 001; Yize Chen (IEEE Trans. Smart Grid, 2024)

Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging. - Zhenyang Cai; Junying Chen; Rongsheng Wang; Weihong Wang; Yonglin Deng; Dingjie Song; Yize Chen; Zixu Zhang; Benyou Wang (ACL (1), 2025)

Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning. - Ruohong Liu; Yuxin Pan; Linjie Xu; Lei Song 001; Pengcheng You; Yize Chen; Jiang Bian 002 (ICLR, 2025)

Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems. - Yuxin Pan; Ruohong Liu; Yize Chen; Zhiguang Cao; Fangzhen Lin (AAMAS, 2025)

Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation. - Siwei Wen; Junyan Ye; Peilin Feng; Hengrui Kang; Zichen Wen; Yize Chen; Jiang Wu 003; Wenjun Wu; Conghui He; Weijia Li (CoRR, 2025)

From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes. - Long Ma; Zhiyuan Yan; Yize Chen; Jin Xu; Qinglang Guo; Hu Huang; Yong Liao; Hui Lin (CoRR, 2025)

Open Datasets for Grid Modeling and Visualization: An Alberta Power Network Case. - Ben Cheng; Yize Chen (CoRR, 2025)

Voltage Regulation in Distribution Systems with Data Center Loads. - Yize Chen; Baosen Zhang (CoRR, 2025)

BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning. - Ruohong Liu; Jack Umenberger; Yize Chen (CoRR, 2025)

Vertex-Guided Redundant Constraints Identification for Unit Commitment. - Xuan He; Yuxin Pan; Yize Chen; Danny H. K. Tsang (CoRR, 2025)

Fast Distribution Grid Topology Estimation via Subset Sum. - Yueyao Xu; Yize Chen (CoRR, 2025)

Carbon Emission Flow Tracing: Fast Algorithm and California Grid Study. - Yuqing Shen; Yuanyuan Shi; Daniel S. Kirschen; Yize Chen (CoRR, 2025)

Nemori: Self-Organizing Agent Memory Inspired by Cognitive Science. - Jiayan Nan; Wenquan Ma; Wenlong Wu; Yize Chen (CoRR, 2025)