Jun Hao

46 papers A* 3B 2Misc 2Journal 28Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training.
AAAI
Chao Ouyang, Yuyang Bai, Jun Zhang, Tianlu Gao, Jun Hao, Lijun Kong, David Wenzhong Gao
2026 J jnl
Distributionally robust optimal allocation of financial assets under the uncertainty and irrationality.
Eur. J. Oper. Res.
Jianping Li, Jiaxin Yuan, Jun Hao
2026 J jnl
Graph autoencoder with causal relationship inference for fault detection and root cause identification in complex industrial process.
Adv. Eng. Informatics
Shijin Li, Jun Hao, Jianbo Yu
2026 J jnl
One-step diffusion-based real-world image super-resolution with visual perception distillation.
Neurocomputing
Xue Wu, Jingwei Xin, Jun Hao, Hui Gao, Jie Li, Nannan Wang, Xinbo Gao
2025 J jnl
A reliable ensemble forecasting modeling approach for complex time series with distributionally robust optimization.
Comput. Oper. Res.
Jiaxin Yuan, Jianping Li, Jun Hao
2025 J jnl
Intelligent Vehicle driving Decision based on Deep Learning Algorithm under Structured Road Environment.
Mechatron. Syst. Control.
Jun Hao
2025 — conf
MSKGEN: A Multi-Stage Knowledge Graph Embedding Network for Traffic Accident Severity Prediction.
APWeb-WAIM (1)
Xin Zhang, Lili Pei, Jun Hao, Yansong Wang, Yuzhan Gao
2025 J jnl
Multi-Agent Hierarchical Deep Reinforcement Learning for HVAC Control With Flexible DERs.
IEEE Trans. Smart Grid
Yansong Pei, Yiyun Yao, Junbo Zhao, Jun Hao, Fei Ding, Jiyu Wang
2025 A* conf
MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud.
IJCAI
Haitao Bai, Pinghui Wang, Ruofei Zhang, Ziyang Zhou, Juxiang Zeng, Yulou Su, Li Xing, Zhou Su, Chen Zhang, Lizhen Cui, Jun Hao, Wei Wang
2025 J jnl
PathActMarker: an R package for inferring pathway activity of complex diseases.
Frontiers Comput. Sci.
Xingyi Li, Jun Hao, Zhelin Zhao, Junming Li, Xingyu Liao, Min Li, Xuequn Shang
2025 J jnl
Semi-supervised generative adversarial network for plant leaf disease detection.
Eng. Appl. Artif. Intell.
Lixiang Zhao, Jun Hao, Demin Li, Jianbo Yu
2025 — conf
Single mmWave Radar-Based Pose Detection for Non-Intrusive Patient Monitoring.
MeMeA
Jun Hao, Jeff Lee, Chee Kiat Seow
2024 J jnl
HCEG: A heterogeneous clustering ensemble learning approach with gravity-based strategy for data assets intelligent pricing.
Inf. Sci.
Jun Hao, Jiaxin Yuan, Jianping Li
2024 J jnl
High Efficiency Data Driven Control Based on Dynamic Linearization and PIDNN With Cohen-Coon for Discrete Nonlinear Fast Time-Varying Systems.
IEEE Trans. Circuits Syst. II Express Briefs
Jun Hao, Guoshan Zhang, Desheng Zhu, Hui Ye
2024 J jnl
Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks.
Big Data Min. Anal.
Xingyi Li, Junming Li, Jun Hao, Xingyu Liao, Min Li, Xuequn Shang
2024 — conf
Site selection optimization method for terminals of specially regulated vessels based on scenario simulation.
ICCMS
Chen Shen, Jun Hao, Zhuo Fang, Yanxin Guo, Guolei Tang, Wentao Ding, Dachuan Wang
2024 J jnl
TCKGCN: Graph convolutional network for aspect-based sentiment analysis with three-channel knowledge fusion.
Neurocomputing
Jun Hao, Lili Pei, Yongxi He, Zhenzhen Xing, Yuhan Weng
2023 J jnl
A dynamic clustering ensemble learning approach for crude oil price forecasting.
Eng. Appl. Artif. Intell.
Jiaxin Yuan, Jianping Li, Jun Hao
2023 J jnl
A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market.
Expert Syst. Appl.
Jun Hao, Jiaxin Yuan, Dengsheng Wu, Weixuan Xu, Jianping Li
2023 — conf
Feasibility Study of Berth Updating based on Multi-Agent Simulation Technology.
ICCMS
Chen Shen, Jun Hao, Dachuan Wang, Zhuo Fang, Lei Mei, Lu Sun
2022 — conf
A dynamic ensemble learning approach with spectral clustering for beef and lamb prices prediction.
ITQM
Jiaxin Yuan, Jun Hao, Mingxi Liu, Dengsheng Wu, Jianping Li
2022 J jnl
Multi-objective optimization of crude oil-supply portfolio based on interval prediction data.
Ann. Oper. Res.
Xiaolei Sun, Jun Hao, Jianping Li
2022 J jnl
Online Unified Solution for Selective Harmonic Elimination Based on Stochastic Configuration Network and Levenberg-Marquardt Algorithm.
IEEE Trans. Ind. Electron.
Jun Hao, Guoshan Zhang, Kehu Yang, Mingzhe Wu, Yuqing Zheng, Wei Hu
2021 A* conf
Comparison Lift: Bandit-based Experimentation System for Online Advertising.
AAAI
Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
2021 J jnl
Data-Driven Tracking Control Based on LM and PID Neural Network With Relay Feedback for Discrete Nonlinear Systems.
IEEE Trans. Ind. Electron.
Jun Hao, Guoshan Zhang, Wanquan Liu, Yuqing Zheng, Ling Ren
2021 J jnl
Forecasting China's sovereign CDS with a decomposition reconstruction strategy.
Appl. Soft Comput.
Jianping Li, Jun Hao, Xiaolei Sun, Qianqian Feng
2021 — conf
Forecasting short-term tourism demand with a decomposition-ensemble strategy.
ITQM
Yuyao Feng, Jun Hao, Xiaolei Sun, Jianping Li
2021 J jnl
Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming.
Expert Syst. Appl.
Jianping Li, Jun Hao, Qianqian Feng, Xiaolei Sun, Mingxi Liu
2021 — conf
Predictability of sovereign CDS: permutation entropy method.
ITQM
Qianqian Feng, Jun Hao, Xiaolei Sun, Jianping Li
2020 — conf
An End-to-End Toolkit for Social Network Analysis.
IEEE BigData
Jun Hao, Xinghui Zhao
2020 J jnl
Comparison Lift: Bandit-based Experimentation System for Online Advertising.
CoRR
Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
2020 J jnl
Multi-objective artificial bee colony algorithm for multi-stage resource leveling problem in sharing logistics network.
Comput. Ind. Eng.
Xiaofeng Xu, Jun Hao, Yao Zheng
2019 — conf
Ensemble forecasting for electricity consumption based on nonlinear optimization.
ITQM
Jun Hao, Qianqian Feng, Weilan Suo, Guowei Gao, Xiaolei Sun
2019 J jnl
Fuzzy Optimal Allocation Model for Task-Resource Assignment Problem in a Collaborative Logistics Network.
IEEE Trans. Fuzzy Syst.
Xiaofeng Xu, Jun Hao, Lean Yu, Yi-Rui Deng
2019 — conf
Game-Theoretic Energy Consumption Planning at Distribution Level for Future Smart Grid.
SOLI
Jun Hao, Ke Zhang, Xiaoxiao Dai, Jun Jason Zhang
2019 — conf
Iterative Adaptive Dynamic Programming Adviced Campus Scale Social Energy System Management.
SOLI
Xiaoxiao Dai, Ke Zhang, Jun Jason Zhang, Jun Hao, Yue Guo, Zhiqiang Chong, Xiaojing Yang
2019 J jnl
Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning.
CoRR
Jun Hao
2019 J jnl
Opportunistic routing with data fusion for multi-source wireless sensor networks.
Wirel. Networks
Jianyu Li, Xinchun Jia, Xiaojun Lv, Zongyuan Han, Jiankang Liu, Jun Hao
2019 J jnl
Parallel building: a complex system approach for smart building energy management.
IEEE CAA J. Autom. Sinica
Abdulaziz Almalaq, Jun Hao, Jun Jason Zhang, Fei-Yue Wang
2018 B conf
Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks.
ICCCN
Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, Zhao Zhang
2017 B conf
Composite socio-technical systems: A method for social energy systems.
SMC
Fulin He, Jun Hao, Xiaoxiao Dai, Jun Jason Zhang, Jiaolong Wei, Yingchen Zhang
2017 J jnl
Design optimization of resource combination for collaborative logistics network under uncertainty.
Appl. Soft Comput.
Xiaofeng Xu, Jun Hao, Yi-Rui Deng, Yong Wang
2017 J jnl
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions.
CoRR
Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li
2017 J jnl
Social energy: mining energy from the society.
IEEE CAA J. Autom. Sinica
Jun Jason Zhang, David Wenzhong Gao, Yingchen Zhang, Xiao Wang, Xiangyang Zhao, Dongliang Duan, Xiaoxiao Dai, Jun Hao, Fei-Yue Wang
2015 Misc conf
Joint real-time energy and demand-response management using a hybrid coalitional-noncooperative game.
ACSSC
Fulin He, Yi Gu, Jun Hao, Jun Jason Zhang, Jiaolong Wei, Yingchen Zhang
2014 Misc conf
Prediction of a bed-exit motion: Multi-modal sensing approach and incorporation of biomechanical knowledge.
ACSSC
Jun Hao, Xiaoxiao Dai, Amy Stroder, Jun Jason Zhang, Bradley Davidson, Mohammad H. Mahoor, Neil McClure