The Optimal Distribution of Electric-Vehicle Chargers across a City. - Chen Liu 022; Ke Deng; Chaojie Li; Jianxin Li 001; Yanhua Li; Jun Luo 007 (ICDM, 2016)

L_1 -Regularized Continuous Conditional Random Fields. - Xishun Wang; Fenghui Ren; Chen Liu 022; Minjie Zhang (PRICAI, 2016)

Distributed consensus based optimization in dynamical economic dispatch. - Chaojie Li; Chen Liu 022; Xinghuo Yu 001; Xing He 001; Huiwei Wang (ICACI, 2017)

The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy. - Chen Liu 022; Chaojie Li; Ke Deng; Long Xu 003; Xinghuo Yu 001 (IECON, 2017)

Integrating Demand Response and Renewable Energy In Wholesale Market. - Chaojie Li; Chen Liu 022; Xinghuo Yu 001; Ke Deng; Tingwen Huang; Liangchen Liu (IJCAI, 2018)

Data-Driven Charging Strategy of PEVs Under Transformer Aging Risk. - Chaojie Li; Chen Liu 022; Ke Deng; Xinghuo Yu 001; Tingwen Huang (IEEE Trans. Control. Syst. Technol., 2018)

Optimal Scheduling of Electric Vehicle Charging with Energy Storage Facility in Smart Grid. - Chen Liu 022; Ke Deng; Guanghui Wen; Xinghuo Yu 001 (IECON, 2019)

Optimal Photovoltaic System Expansion Based on Electric Vehicle Charging Station in Smart Grid. - Chen Liu 022; Xinghuo Yu 001; Guanghui Wen (ISIE, 2020)

Voltage Control for Distribution Networks via Coordinated Regulation of Active and Reactive Power of DGs. - Xiong Hu; Zhi-Wei Liu 002; Guanghui Wen; Xinghuo Yu 001; Chen Liu 022 (IEEE Trans. Smart Grid, 2020)

Multi-Objective Optimization of Electric Vehicle Charging Schedule with Time of Use Tariff. - Hui Song; Chen Liu 022; Mahdi Jalili; Xinghuo Yu 001; Peter McTaggart (CoRR, 2021)

Simplifying Complex Network Stability Analysis via Hierarchical Node Aggregation and Optimal Periodic Control. - Wenjun Xiong; Xinghuo Yu 001; Chen Liu 022; Guanghui Wen; Shiping Wen 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Gated Recurrent Neural Network for Electric Vehicle Detection with Imbalanced Samples. - Chen Liu 022; Hui Song; Mahdi Jalili; Peter McTaggart (AI, 2022)

On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints. - Wenjun Xiong; Chen Liu 022; Guanghui Wen; Jianlong Qiu; Yongjun Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. - Linzhe Cai; Chen Liu 022; Xinghuo Yu 001; Chaojie Li; Andrew C. Eberhard (ADC, 2023)

Ensemble Classification Model for EV Identification From Smart Meter Recordings. - Hui Song; Chen Liu 022; Mahdi Jalili; Xinghuo Yu 001; Peter McTaggart (IEEE Trans. Ind. Informatics, 2023)

Convergences for robust bilevel polynomial programmes with applications. - Thai Doan Chuong; Xinghuo Yu 001; Andrew C. Eberhard; Chaojie Li; Chen Liu 022 (Optim. Methods Softw., 2023)

Large Language Model for Extreme Electricity Price Forecasting in the Australia Electricity Market. - Chen Liu 022; Linzhe Cai; Geordie Dalzell; Nishan Mills (IECON, 2024)

Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations. - Thai Doan Chuong; Xinghuo Yu 001; Chen Liu 022; Andrew C. Eberhard; Chaojie Li (J. Optim. Theory Appl., 2024)

Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling. - Thai Doan Chuong; Xinghuo Yu 001; Andrew C. Eberhard; Chaojie Li; Chen Liu 022 (J. Glob. Optim., 2024)