Yize Chen - RankMe

94 papers A* 5A 1C 2Misc 2Journal 67Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Pontryagin Method of Model-based Reinforcement Learning via Hamiltonian Actor-Critic. CoRR Chengyang Gu, Yuxin Pan, Hui Xiong, Yize Chen
2026	J	`jnl`	Coordinated Cooling and Compute Management for AI Datacenters. CoRR Nardos Belay Abera, Yize Chen
2026	J	`jnl`	STO-RL: Offline RL under Sparse Rewards via LLM-Guided Subgoal Temporal Order. CoRR Chengyang Gu, Yuxin Pan, Hui Xiong, Yize Chen
2026	J	`jnl`	Scaling Laws of Machine Learning for Optimal Power Flow. CoRR Xinyi Liu, Xuan He, Yize Chen
2026	J	`jnl`	Switching-Reference Voltage Control for Distribution Systems with AI-Training Data Centers. CoRR Mingyuan Yan, Trager Joswig-Jones, Baosen Zhang, Yize Chen, Wenqi Cui
2025	J	`jnl`	BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning. CoRR Ruohong Liu, Jack Umenberger, Yize Chen
2025	J	`jnl`	Carbon Emission Flow Tracing: Fast Algorithm and California Grid Study. CoRR Yuqing Shen, Yuanyuan Shi, Daniel S. Kirschen, Yize Chen
2025	J	`jnl`	DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection. CoRR Kangran Zhao, Yupeng Chen, Xiaoyu Zhang, Yize Chen, Weinan Guan, Baicheng Chen, Chengzhe Sun, Soumyya Kanti Datta, Qingshan Liu, Siwei Lyu, Baoyuan Wu
2025	A*	`conf`	Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning. ICLR Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian
2025	—	`conf`	Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging. ACL (1) Zhenyang Cai, Junying Chen, Rongsheng Wang, Weihong Wang, Yonglin Deng, Dingjie Song, Yize Chen, Zixu Zhang, Benyou Wang
2025	J	`jnl`	FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs. CoRR Xuan He, Zequan Fang, Jinzhao Lian, Danny H. K. Tsang, Baosen Zhang, Yize Chen
2025	J	`jnl`	Fast Distribution Grid Topology Estimation via Subset Sum. CoRR Yueyao Xu, Yize Chen
2025	J	`jnl`	From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes. CoRR Long Ma, Zhiyuan Yan, Yize Chen, Jin Xu, Qinglang Guo, Hu Huang, Yong Liao, Hui Lin
2025	A	`conf`	Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems. AAMAS Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
2025	J	`jnl`	Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems. CoRR Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
2025	J	`jnl`	Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP. CoRR Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin
2025	J	`jnl`	Nemori: Self-Organizing Agent Memory Inspired by Cognitive Science. CoRR Jiayan Nan, Wenquan Ma, Wenlong Wu, Yize Chen
2025	—	`conf`	Neural Pontryagin Optimal Controller for Lossy Energy Storage with Nonlinear Efficiency. SmartGridComm Chengyang Gu, Yize Chen
2025	J	`jnl`	Online Deadline-Aware EV Charging Considering State-of-Charge-Dependent Peak Charging Rate. IEEE Trans. Smart Grid Xiaowei Wang, Yize Chen, Liang Du, Yue Chen
2025	—	`conf`	Open Datasets for Grid Modeling and Visualization: An Alberta Power Network Case. SmartGridComm Ben Cheng, Yize Chen
2025	J	`jnl`	Open Datasets for Grid Modeling and Visualization: An Alberta Power Network Case. CoRR Ben Cheng, Yize Chen
2025	J	`jnl`	Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation. CoRR Siwei Wen, Junyan Ye, Peilin Feng, Hengrui Kang, Zichen Wen, Yize Chen, Jiang Wu, Wenjun Wu, Conghui He, Weijia Li
2025	J	`jnl`	Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning. CoRR Siyang Li, Yize Chen, Yan Guo, Ming Huang, Hui Xiong
2025	J	`jnl`	Vertex-Guided Redundant Constraints Identification for Unit Commitment. CoRR Xuan He, Yuxin Pan, Yize Chen, Danny H. K. Tsang
2025	J	`jnl`	Voltage Regulation in Distribution Systems with Data Center Loads. CoRR Yize Chen, Baosen Zhang
2024	J	`jnl`	C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front. CoRR Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian
2024	—	`conf`	Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CVPR Workshops Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu
2024	J	`jnl`	Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CoRR Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu
2024	J	`jnl`	Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting. CoRR Siyang Li, Yize Chen, Hui Xiong
2024	—	`conf`	Contributions of Individual Generators to Nodal Carbon Emissions. e-Energy Yize Chen, Deepjyoti Deka, Yuanyuan Shi
2024	J	`jnl`	DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. IEEE Trans. Smart Grid Siyang Li, Hui Xiong, Yize Chen
2024	J	`jnl`	DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load. CoRR Siyang Li, Hui Xiong, Yize Chen
2024	J	`jnl`	Efficient Unit Commitment Constraint Screening under Uncertainty. CoRR Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang
2024	—	`conf`	Fast Unit Commitment Constraint Screening with Learning-Based Cost Model. SmartGridComm Xuan He, Honglin Wen, Yufan Zhang, Yize Chen, Danny H. K. Tsang
2024	J	`jnl`	High-Fidelity Mask-free Neural Surface Reconstruction for Virtual Reality. CoRR Haotian Bai, Yize Chen, Lin Wang
2024	—	`conf`	Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights. ISGT EUROPE Di Shi, Qiang Zhang, Mingguo Hong, Fengyu Wang, Slava Maslennikov, Xiaochuan Luo, Yize Chen
2024	J	`jnl`	Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights. CoRR Di Shi, Qiang Zhang, Mingguo Hong, Fengyu Wang, Slava Maslennikov, Xiaochuan Luo, Yize Chen
2024	J	`jnl`	Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition. CoRR Yuqi Jiang, Yan Li, Yize Chen
2024	J	`jnl`	Is Locational Marginal Price All You Need for Locational Marginal Emission? CoRR Xuan He, Danny H. K. Tsang, Yize Chen
2024	C	`conf`	Learning and Optimization for Price-Based Demand Response of Electric Vehicle Charging. ACC Chengyang Gu, Yuxin Pan, Ruohong Liu, Yize Chen
2024	J	`jnl`	Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging. CoRR Chengyang Gu, Yuxin Pan, Ruohong Liu, Yize Chen
2024	J	`jnl`	Long Term Memory: The Foundation of AI Self-Evolution. CoRR Xun Jiang, Feng Li, Han Zhao, Jiaying Wang, Jun Shao, Shihao Xu, Shu Zhang, Weiling Chen, Xavier Tang, Yize Chen, Mengyue Wu, Weizhi Ma, Mengdi Wang, Tianqiao Chen
2024	J	`jnl`	On the Compositional Generalization of Multimodal LLMs for Medical Imaging. CoRR Zhenyang Cai, Junying Chen, Rongsheng Wang, Weihong Wang, Yonglin Deng, Dingjie Song, Yize Chen, Zixu Zhang, Benyou Wang
2024	J	`jnl`	SEAL: SEmantic-Augmented Imitation Learning via Language Model. CoRR Chengyang Gu, Yuxin Pan, Haotian Bai, Hui Xiong, Yize Chen
2024	J	`jnl`	The Unseen AI Disruptions for Power Grids: LLM-Induced Transients. CoRR Yuzhuo Li, Mariam Mughees, Yize Chen, Yunwei Ryan Li
2023	A*	`conf`	Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. NeurIPS Yuxin Pan, Yize Chen, Fangzhen Lin
2023	J	`jnl`	Adjustable Robust Reinforcement Learning for Online 3D Bin Packing. CoRR Yuxin Pan, Yize Chen, Fangzhen Lin
2023	—	`conf`	BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. e-Energy Chi Zhang, Yuanyuan Shi, Yize Chen
2023	J	`jnl`	Contributions of Individual Generators to Nodal Carbon Emissions. CoRR Yize Chen, Deepjyoti Deka, Yuanyuan Shi
2023	J	`jnl`	DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model. CoRR Siyang Li, Hui Xiong, Yize Chen
2023	A*	`conf`	Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. ICCV Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang
2023	J	`jnl`	Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. CoRR Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang
2023	—	`conf`	Fast Constraint Screening for Multi-Interval Unit Commitment. CDC Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
2023	J	`jnl`	Fast Constraint Screening for Multi-Interval Unit Commitment. CoRR Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
2023	J	`jnl`	Large Foundation Models for Power Systems. CoRR Chenghao Huang, Siyang Li, Ruohong Liu, Hao Wang, Yize Chen
2023	J	`jnl`	Laxity-Aware Scalable Reinforcement Learning for HVAC Control. CoRR Ruohong Liu, Yuxin Pan, Yize Chen
2023	J	`jnl`	Learning a Multi-Agent Controller for Shared Energy Storage System. CoRR Ruohong Liu, Yize Chen
2023	J	`jnl`	Long-Term Carbon-Efficient Planning for Geographically Shiftable Resources: A Monte Carlo Tree Search Approach. CoRR Xuan He, Danny H. K. Tsang, Yize Chen
2023	A*	`conf`	SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS 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
2022	J	`jnl`	A Convex Neural Network Solver for DCOPF With Generalization Guarantees. IEEE Trans. Control. Netw. Syst. Ling Zhang, Yize Chen, Baosen Zhang
2022	A*	`conf`	A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. ICDM Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu
2022	C	`conf`	Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. ACC Daniel Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert
2022	J	`jnl`	Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. CoRR Daniel B. Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert
2022	J	`jnl`	BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. CoRR Chi Zhang, Yuanyuan Shi, Yize Chen
2022	—	`conf`	Carbon-Aware EV Charging. SmartGridComm Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
2022	J	`jnl`	Carbon-Aware EV Charging. CoRR Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
2022	J	`jnl`	Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. CoRR Xuan He, Honglin Wen, Yufan Zhang, Yize Chen
2022	—	`conf`	Learning Task-Aware Energy Disaggregation: a Federated Approach. CDC Ruohong Liu, Yize Chen
2022	J	`jnl`	Learning Task-Aware Energy Disaggregation: a Federated Approach. CoRR Ruohong Liu, Yize Chen
2022	—	`conf`	OEIS: Knowledge Graph based Intelligent Search System in Ocean Engineering. CBD Rui Zhu, Xiaoqing Wu, Yanna Hu, Yize Chen, Bo Liu
2022	J	`jnl`	Pontryagin Optimal Controller via Neural Networks. CoRR Chengyang Gu, Yize Chen
2022	J	`jnl`	Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms. CoRR Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen
2021	J	`jnl`	Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network. Pattern Recognit. Lei Wang, Juan Gu, Yize Chen, Yuanbo Liang, Weijie Zhang, Jiantao Pu, Hao Chen
2021	J	`jnl`	Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training. CoRR Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi
2021	J	`jnl`	IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. Yize Chen, Hao Wang
2021	J	`jnl`	SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. CoRR Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert
2021	J	`jnl`	State-of-Charge Aware EV Charging. CoRR Yize Chen, Baosen Zhang
2021	J	`jnl`	Understanding the Safety Requirements for Learning-based Power Systems Operations. CoRR Yize Chen, Daniel B. Arnold, Yuanyuan Shi, Sean Peisert
2021	—	`conf`	Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. SmartGridComm Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang
2020	J	`jnl`	A Convex Neural Network Solver for DCOPF with Generalization Guarantees. CoRR Ling Zhang, Yize Chen, Baosen Zhang
2019	—	`conf`	Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. e-Energy Yize Chen, Yushi Tan, Baosen Zhang
2019	J	`jnl`	Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. CoRR Yize Chen, Yushi Tan, Baosen Zhang
2019	J	`jnl`	Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. CoRR Congmei Jiang, Yize Chen, Yongfang Mao, Yi Chai, Mingbiao Yu
2019	—	`conf`	Optimal Control Via Neural Networks: A Convex Approach. ICLR (Poster) Yize Chen, Yuanyuan Shi, Baosen Zhang
2019	—	`conf`	Stochastic Battery Operations using Deep Neural Networks. ISGT Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov
2018	J	`jnl`	Bayesian Renewables Scenario Generation via Deep Generative Networks. CoRR Yize Chen, Pan Li, Baosen Zhang
2018	Misc	`conf`	Bayesian renewables scenario generation via deep generative networks. CISS Yize Chen, Pan Li, Baosen Zhang
2018	J	`jnl`	IntelligentCrowd: Mobile Crowdsensing via Multi-agent Reinforcement Learning. CoRR Yize Chen, Hao Wang
2018	—	`conf`	Is Machine Learning in Power Systems Vulnerable? SmartGridComm Yize Chen, Yushi Tan, Deepjyoti Deka
2018	J	`jnl`	Is Machine Learning in Power Systems Vulnerable? CoRR Yize Chen, Yushi Tan, Deepjyoti Deka
2018	J	`jnl`	Towards Trusted Social Networks with Blockchain Technology. CoRR Yize Chen, Quanlai Li, Hao Wang
2017	J	`jnl`	Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. CoRR Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2017	J	`jnl`	Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang
2017	Misc	`conf`	Modeling and optimization of complex building energy systems with deep neural networks. ACSSC Yize Chen, Yuanyuan Shi, Baosen Zhang