A general approach for building combinational P automata. - Huan Long; Yuxi Fu (Int. J. Comput. Math., 2007)

An Improved Full Abstraction Approach to Analyzing Locality Semantics. - Jianxin Xue; Huan Long; Guoqiang Li 001 (TASE, 2012)

On the Expressiveness of Parameterization in Process-Passing. - Xian Xu 001; Qiang Yin 002; Huan Long (WS-FM, 2013)

How faithfully can π be interpreted in SA? - Huan Long; Yuxi Fu (Sci. China Inf. Sci., 2013)

On the Computation Power of Name Parameterization in Higher-order Processes. - Xian Xu 001; Qiang Yin 002; Huan Long (ICE, 2015)

Data-Driven Wind Turbine Power Generation Performance Monitoring. - Huan Long; Long Wang 015; Zijun Zhang; Zhe Song; Jia Xu (IEEE Trans. Ind. Electron., 2015)

Remark on Some pi Variants. - Jianxin Xue; Huan Long; Yuxi Fu (SETTA, 2017)

Formulation and Analysis of Grid and Coordinate Models for Planning Wind Farm Layouts. - Huan Long; Zijun Zhang; Zhe Song; Andrew Kusiak (IEEE Access, 2017)

The Local Dimension of Deep Manifold. - Mengxiao Zhang; Wangquan Wu; Yanren Zhang; Kun He 001; Tao Yu; Huan Long; John E. Hopcroft (CoRR, 2017)

On parameterization of higher-order processes. - Qiang Yin 002; Xian Xu 001; Huan Long (Int. J. Comput. Math., 2017)

Wind Turbine Gearbox Failure Identification With Deep Neural Networks. - Long Wang 015; Zijun Zhang; Huan Long; Jia Xu; Ruihua Liu (IEEE Trans. Ind. Informatics, 2017)

Curvature-based Comparison of Two Neural Networks. - Tao Yu; Huan Long; John E. Hopcroft (ICPR, 2018)

Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images. - Tao Yu; Yu Qiao; Huan Long (CoRR, 2018)

Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout. - Yong Wang 002; Hao Liu 024; Huan Long; Zijun Zhang; Shengxiang Yang (IEEE Trans. Ind. Informatics, 2018)

Uniform Random Process Model Revisited. - Wenbo Zhang 004; Huan Long; Xian Xu 001 (APLAS, 2019)

On Geometric Structure of Activation Spaces in Neural Networks. - Yuting Jia; Haiwen Wang; Shuo Shao 001; Huan Long; Yunsong Zhou; Xinbing Wang (CoRR, 2019)

Bisimulation Equivalence of Pushdown Automata Is Ackermann-Complete. - Wenbo Zhang 004; Qiang Yin 002; Huan Long; Xian Xu 001 (ICALP, 2020)

Nearest Neighbor Classification Based on Activation Space of Convolutional Neural Network. - Xinbo Ju; Shuo Shao 001; Huan Long; Weizhe Wang (ICPR, 2020)

A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network. - Huan Long; Chang Chen; Wei Gu 004; Jihua Xie; Zheng Wang; Guodong Li (IEEE Access, 2020)

Maximum Value Matters: Finding Hot Topics in Scholarly Fields. - Guie Meng; Jiasheng Xu; Jinghao Zhao; Luoyi Fu; Huan Long; Xiaoying Gan; Xinbing Wang (IEEE Trans. Netw. Sci. Eng., 2020)

Evolving Influence Maximization in Evolving Networks. - Xudong Wu; Luoyi Fu; Zixin Zhang; Huan Long; Jingfan Meng; Xinbing Wang; Guihai Chen (ACM Trans. Internet Techn., 2020)

A Loss Reduction Optimization Method for Distribution Network Based on Combined Power Loss Reduction Strategy. - Jihua Xie; Chang Chen; Huan Long (Complex., 2021)

On the Interactive Power of Higher-order Processes Extended with Parameterization. - Wenbo Zhang 004; Xian Xu 001; Qiang Yin 002; Huan Long (Formal Aspects Comput., 2021)

Recourse-Cost Constrained Robust Optimization for Microgrid Dispatch With Correlated Uncertainties. - Haifeng Qiu; Huan Long; Wei Gu 004; Guangsheng Pan (IEEE Trans. Ind. Electron., 2021)

Adaptive Diffusion of Sensitive Information in Online Social Networks. - Xudong Wu; Luoyi Fu; Huan Long; Dali Yang; Yucheng Lu; Xinbing Wang; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2021)

Joint Scheduling and Incentive Mechanism for Spatio-Temporal Vehicular Crowd Sensing. - Guiyun Fan; Haiming Jin; Qihong Liu; Wei Qin; Xiaoying Gan; Huan Long; Luoyi Fu; Xinbing Wang (IEEE Trans. Mob. Comput., 2021)

Unraveling the Detectability of Stochastic Block Model With Overlapping Communities. - Huaying Wu; Luoyi Fu; Huan Long; Guie Meng; Xiaoying Gan; Yuanhao Wu; Haisong Zhang; Xinbing Wang (IEEE Trans. Netw. Sci. Eng., 2021)

On Probabilistic Extension of the Interaction Theory. - Hongmeng Wang; Huan Long; Hao Wu; Qizhe Yang (ICFEM, 2022)

Investigating the geometric structure of neural activation spaces with convex hull approximations. - Yuting Jia; Shao Zhang; Haiwen Wang; Ying Wen 001; Luoyi Fu; Huan Long; Xinbing Wang; Chenghu Zhou (Neurocomputing, 2022)

Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks. - Jiaqi Liu 002; Cheng Deng; Luoyi Fu; Huan Long; Xiaoying Gan; Xinbing Wang; Guihai Chen; Jun Xu 014 (IEEE Trans. Mob. Comput., 2022)

Collective De-Anonymization of Social Networks With Optional Seeds. - Jiapeng Zhang; Luoyi Fu; Huan Long; Gui'e Meng; Feilong Tang; Xinbing Wang; Guihai Chen (IEEE Trans. Mob. Comput., 2022)

Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-Focused Approach. - Linwei Sang; Yinliang Xu; Huan Long; Qinran Hu; Hongbin Sun 002 (IEEE Trans. Smart Grid, 2022)

Substation Alarm Event Identification Based on BERT and Cosine Similarity. - Zhenyu Zhou; Huan Long (iSPEC, 2023)

Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources. - Linwei Sang; Yinliang Xu; Zhongkai Yi; Lun Yang; Huan Long; Hongbin Sun 002 (CoRR, 2023)

Computationally Enhanced Approach for Chance-Constrained OPF Considering Voltage Stability. - Yuanxi Wu; Zhi Wu; Yijun Xu 001; Huan Long; Wei Gu 004; Shu Zheng; Jingtao Zhao (CoRR, 2023)

Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve. - Huan Long; Linwei Sang; Zaijun Wu; Wei Gu 004 (CoRR, 2023)

Tracing Truth and Rumor Diffusions Over Mobile Social Networks: Who are the Initiators? - Shan Qu; Hui Xu 011; Luoyi Fu; Huan Long; Xinbing Wang; Guihai Chen; Chenghu Zhou (IEEE Trans. Mob. Comput., 2023)

Safety-Aware Semi-End-to-End Coordinated Decision Model for Voltage Regulation in Active Distribution Network. - Linwei Sang; Yinliang Xu; Huan Long; WenChuan Wu 001 (IEEE Trans. Smart Grid, 2023)

Probabilistic weak bisimulation and axiomatization for probabilistic models. - Hao Wu 095; Huan Long (Inf. Process. Lett., 2023)

Analyzing Divergence for Nondeterministic Probabilistic Models. - Hao Wu; Yuxi Fu; Huan Long; Xian Xu 001; Wenbo Zhang 004 (CoRR, 2024)

Branching bisimulation semantics for quantum processes. - Hao Wu 095; Qizhe Yang; Huan Long (Inf. Process. Lett., 2024)

Wind Turbine Condition Monitoring Based on SCADA Data-Image Conversion. - Huan Long; Shaohui Xu; Huihuang Cai; Wei Gu 004 (IEEE Trans. Instrum. Meas., 2024)

The Intelligent Computing and Information Technology in Sports Performance Evaluation. - Yuanyuan Zhang; Huan Long; Lei Jing (Scalable Comput. Pract. Exp., 2025)

Multi-Agent Deep Reinforcement Learning-Based Cooperative Optimal Operation for Building Integrated Energy Systems With Nash-Harsanyi Bargaining Game-Driven Cost Allocation. - Chao Huang 002; Zhixia Ge; Long Wang 015; Dongdong Zhang; Huan Long; Xiong Luo (IEEE Trans. Consumer Electron., 2025)

A Programming Language for Feasible Solutions. - Weijun Chen; Yuxi Fu; Huan Long (CoRR, 2025)

A Model-Independent Theory of Probabilistic Testing. - Weijun Chen; Yuxi Fu; Huan Long; Hao Wu (CoRR, 2025)