Haifeng Guo

72 papers B 1C 1Journal 40Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-scale graph convolutional EEG emotion recognition method driven by dynamic channel state labels.
Biomed. Signal Process. Control.
Ming Liu, Zichong Zhang, Haifeng Guo, Jianli Yang, Peng Xiong, Jieshuo Zhang, Xiuling Liu
2025 — conf
Blockchain-Based Multi-dimensional Dynamic Supply Chain Finance Risk Control System.
ICPCSEE
Haifeng Guo, Jun Xiao, Biliang Wang, Yuyun Jie, Yuwei He
2025 J jnl
Cross-city traffic state prediction based on knowledge transfer framework.
Expert Syst. Appl.
Dongwei Xu, Yufu Tang, Jingfei Ju, Zefeng Yu, Jiaying Zheng, Tongcheng Gu, Haifeng Guo
2025 J jnl
Exploring Invertible Encoding for Deep Video Compression.
IEEE Trans. Broadcast.
Haifeng Guo, Sam Kwong, Mingliang Zhou
2025 J jnl
LEAD: LLM-enhanced deep reinforcement learning for stable decision-making in critical autonomous driving scenarios.
Neurocomputing
Dongwei Xu, Enwen Qiao, Tongcheng Gu, Hongda Fu, Chengju Sun, Haifeng Guo, Yuqing Liu
2025 — conf
LW-CQ: ML-Driven Cardinality Estimation for Complex Queries.
ICPCSEE
Jiye Qiu, Donghua Yang, Mengmeng Li, Haifeng Guo, Hongqiang Wang, Hongzhi Wang
2025 J jnl
Neural semantic evaluation of blockchain policy tools in China.
Appl. Soft Comput.
Yuxi Zhang, Haifeng Guo, Ke Peng, Hongzhi Wang
2025 — conf
Prevention of Flash Loan Attacking on the Decentralized Finance System of a Public Blockchain.
ICPCSEE
Yunlong Wang, Ran He, Haifeng Guo, Hongzhi Wang, Yuxi Zhang, Biliang Wang
2025 — conf
Reinforcement Learning for Time-Series Query Optimization.
ICPCSEE
Songling Zou, Donghua Yang, Mengmeng Li, Haifeng Guo, Hongqiang Wang, Hongzhi Wang
2025 J jnl
Robustness enhancement of deep reinforcement learning-based traffic signal control model via structure compression.
Knowl. Based Syst.
Dongwei Xu, Xiangwang Liao, Zefeng Yu, Tongcheng Gu, Haifeng Guo
2025 — conf
The Efficiency of Momentum Factors in Cryptocurrency.
ICPCSEE
Jinyi Zhao, Haifeng Guo, Yuxi Zhang
2025 J jnl
Traffic State Estimation of Road Sections Without Detectors Based on Multisource Causal Interpretation Graph.
IEEE Internet Things J.
Dongwei Xu, Yufu Tang, Hang Peng, Haifeng Guo, Qi Xuan
2024 J jnl
A Graph Deep Reinforcement Learning Traffic Signal Control for Multiple Intersections Considering Missing Data.
IEEE Trans. Veh. Technol.
Dongwei Xu, Zefeng Yu, Xiangwang Liao, Haifeng Guo
2024 J jnl
A Signal Filtering Method for Magnetic Flux Leakage Detection of Rail Surface Defects Based on Minimum Entropy Deconvolution.
Int. J. Swarm Intell. Res.
Jing Liu, Shoubao Su, Haifeng Guo, Yuhua Lu, Yuexia Chen
2024 J jnl
Enhanced Context Mining and Filtering for Learned Video Compression.
IEEE Trans. Multim.
Haifeng Guo, Sam Kwong, Dongjie Ye, Shiqi Wang
2024 J jnl
Graph-based multi agent reinforcement learning for on-ramp merging in mixed traffic.
Appl. Intell.
Dongwei Xu, Biao Zhang, Qingwei Qiu, Haijian Li, Haifeng Guo, Baojie Wang
2024 J jnl
Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation.
Inf. Fusion
Dongwei Xu, Hang Peng, Yufu Tang, Haifeng Guo
2024 J jnl
Intelligent Logistics Vehicle Path Planning Using Fused Optimization Ant Colony Algorithm With Grid.
Int. J. Inf. Technol. Syst. Approach
Liyang Chu, Haifeng Guo, Qingshi Meng
2024 J jnl
Multi-View Graph Convolution Network Reinforcement Learning for CAVs Cooperative Control in Highway Mixed Traffic.
IEEE Trans. Intell. Veh.
Dongwei Xu, Peiwen Liu, Haijian Li, Haifeng Guo, Zijia Xie, Qi Xuan
2024 J jnl
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model.
CoRR
Jinyin Chen, Xiaoming Zhao, Haibin Zheng, Xiao Li, Sheng Xiang, Haifeng Guo
2024 J jnl
Robust knowledge distillation based on feature variance against backdoored teacher model.
Appl. Soft Comput.
Jinyin Chen, Xiaoming Zhao, Haibin Zheng, Xiao Li, Sheng Xiang, Haifeng Guo
2023 J jnl
Approximate Inference of Traffic Flow State at Signalized Intersections Using a Bayesian Learning Framework.
IEEE Trans. Intell. Transp. Syst.
Nan Zhang, Xiaoguang Yang, Haifeng Guo, Hongzhao Dong, Wanjing Ma
2023 — conf
Approximate Query Processing Based on Approximate Materialized View.
ICA3PP (2)
Yuhan Wu, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang
2023 — conf
Complex Time Series Analysis Based on Conditional Random Fields.
ICPCSEE (1)
Yanjie Wei, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang
2023 — conf
Dimension Reduction Based on Sampling.
ICPCSEE (1)
Zhuping Li, Donghua Yang, Mengmeng Li, Haifeng Guo, Tiansheng Ye, Hongzhi Wang
2023 J jnl
Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection.
IEEE Trans. Netw. Sci. Eng.
Yirui Wu, Haifeng Guo, Chinmay Chakraborty, Mohammad Reza Khosravi, Stefano Berretti, Shaohua Wan
2023 J jnl
Enhanced Motion Compensation for Deep Video Compression.
IEEE Signal Process. Lett.
Haifeng Guo, Sam Kwong, Chuanmin Jia, Shiqi Wang
2023 — conf
Prediction of Time Series Data with Low Latitude Features.
ICPCSEE (1)
Haoran Zhang, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang
2023 — conf
Schema Integration on Massive Data Sources.
ICA3PP (2)
Tianbao Li, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang
2022 J jnl
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework.
IEEE Trans. Intell. Transp. Syst.
Junchen Jin, Dingding Rong, Tong Zhang, Qingyuan Ji, Haifeng Guo, Yisheng Lv, Xiaoliang Ma, Fei-Yue Wang
2022 — conf
Blockchain Policy Tool Selection in CHina's Blockchain Industry Clustering Areas.
BlockSys
Jiqiang Tang, Zhen Wu, Yuxi Zhang, Xiaotuo Qiao, Haifeng Guo
2022 — conf
Efficient AVS3 Intra Prediction Hardware Design for Real-time Applications.
ICTA
Yucheng Jiang, Haifeng Guo, Junhao Zheng, Jingsheng Wang, Songping Mai
2022 J jnl
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning.
IEEE Trans. Games
Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zhen-Jia Pang, Zitai Xiao, Yuzhou Wu, Tong Lu
2022 J jnl
Integrated inventory and transportation management with stochastic demands: A scenario-based economic model predictive control approach.
Expert Syst. Appl.
Hongyu Qian, Haifeng Guo, Baiqing Sun, Ye Wang
2022 J jnl
Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data.
Entropy
Yue Sun, Aidong Xu, Kai Wang, Xiufang Zhou, Haifeng Guo, Xiaojia Han
2022 J jnl
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks.
IEEE Trans. Intell. Transp. Syst.
Junchen Jin, Dingding Rong, Yuqi Pang, Fenghua Zhu, Haifeng Guo, Xiaoliang Ma, Fei-Yue Wang
2022 — conf
Robust Optimization on E-commerce Closed-loop Supply Chain with Uncertain Environment.
ISCIPT
Haifeng Guo, Shuai Li
2022 — conf
The Impact of Policy on the Clustering of the Blockchain Industry - Evidence from GMM Estimates.
ICPCSEE (2)
Xiaolei Xu, Zhen Wu, Xiaotuo Qiao, Yuxi Zhang, Haifeng Guo
2022 — conf
The Role of Absorptive Capacity in the Blockchain Enabled Traceability Alignment: An Empirical Investigation.
BlockSys
Kai Wu, E. Bai, Baiqing Sun, Haifeng Guo
2021 — conf
A Study on Bitcoin Price Volatility Based on the SVAR Model and Impulse Response Analysis.
BlockSys
Hecong Xu, Xiaolei Xu, Zhen Wu, Haifeng Guo, Yuxi Zhang, Hongzhi Wang
2021 — conf
Absorptive Capacity, Blockchain and Food Traceability: An Empirical Invetigation.
BlockSys
Kai Wu, Baiqing Sun, Haifeng Guo
2021 J jnl
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework.
IEEE Trans. Intell. Transp. Syst.
Junchen Jin, Haifeng Guo, Jia Xu, Xiao Wang, Fei-Yue Wang
2021 J jnl
Particle Filtering Based Remaining Useful Life Prediction for Electromagnetic Coil Insulation.
Sensors
Haifeng Guo, Aidong Xu, Kai Wang, Yue Sun, Xiaojia Han, Seung Ho Hong, Mengmeng Yu
2021 — conf
The Regional Clusting Effect of the Blockchain Industry Base on Unsupervised Learning Methods.
BlockSys
Yuxi Zhang, Muran Su, Zhen Wu, Xiang Chen, Haifeng Guo, Xinxin Chang, Hongzhi Wang
2021 — conf
Unmanned Aerial Vehicle Cluster Operations under the Background of Intelligentization.
AIAM (IEEE)
Yawei Cai, Haifeng Guo, Kai Zhou, Liang Xu
2020 — conf
AVS2 Fast Intra Mode Decision Hardware Design.
EITCE
Wenqiang Hu, Kaiyang Liu, Jinchang Xu, Wei Yan, Haifeng Guo
2020 J jnl
Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View.
Sensors
Kai Wang, Haifeng Guo, Aidong Xu, Michael G. Pecht
2020 B conf
Dynamic Low-Light Image Enhancement for Object Detection via End-to-End Training.
ICPR
Haifeng Guo, Tong Lu, Yirui Wu
2020 J jnl
Formation Control of High-Order Swarm Systems With Time-Varying Delays and Switching Interconnections.
IEEE Access
Qingjie Zhang, Haifeng Guo, Xiaohang Shi
2020 J jnl
Highly-linear wide-range voltage-controlled delay element with body bias technique.
Microelectron. J.
Haifeng Guo, Jianhua Feng, Yinxuan Lyu
2020 J jnl
The Prediction Analysis of Peer-to-Peer Lending Platforms Default Risk Based on Comparative Models.
Sci. Program.
Haifeng Guo, Ke Peng, Xiaolei Xu, Shuai Tao, Zhen Wu
2019 J jnl
Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II.
CoRR
Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zitai Xiao, Yuzhou Wu, Zhen-Jia Pang, Tong Lu
2019 — conf
Link speed prediction for signalized urban traffic network using a hybrid deep learning approach.
ITSC
Tong Zhang, Junchen Jin, Hui Yang, Haifeng Guo, Xiaoliang Ma
2019 J jnl
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.
IEEE Access
Chen Li, Fanjie Kong, Kai Wang, Aidong Xu, Gexiang Zhang, Ning Xu, Zhihua Liu, Haifeng Guo, Xue Wang, Kuan Liang, JianYing Yuan, Shouliang Qi, Tao Jiang
2019 — conf
Short-Term Traffic Flow Prediction using Attention-Based Long Short-Term Memory Network.
DSC
Peng Peng, Dongwei Xu, He Gao, Qi Xuan, Yi Liu, Haifeng Guo, Defeng He
2018 J jnl
Creating Self-Aware Low-Voltage Electromagnetic Coils for Incipient Insulation Degradation Monitoring for Smart Manufacturing.
IEEE Access
Kai Wang, Haifeng Guo, Aidong Xu, N. Jordan Jameson, Michael G. Pecht, Bingjun Yan
2018 J jnl
Deep Multi-Instance Multi-Label Learning for Image Annotation.
Int. J. Pattern Recognit. Artif. Intell.
Haifeng Guo, Lixin Han, Shoubao Su, Zhoubao Sun
2017 J jnl
A Novel Pattern Clustering Algorithm Based on Particle Swarm Optimization Joint Adaptive Wavelet Neural Network Model.
Mob. Networks Appl.
Shoubao Su, Haifeng Guo, Haimei Tian, Gang Wu
2017 J jnl
Image tag recommendation based on friendships.
Multim. Tools Appl.
Haifeng Guo, Shoubao Su, Zhoubao Sun
2016 — conf
A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement.
iThings/GreenCom/CPSCom/SmartData
Haifeng Guo, Kai Wang, He Cui, Aidong Xu, Jin Jiang
2015 — conf
A Power-Aware Virtual Machine Mapper Using Firefly Optimization.
CBD
Shoubao Su, Yu Su, Fei Shao, Haifeng Guo
2015 J jnl
Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series.
Neurocomputing
Bai-Qing Sun, Haifeng Guo, Hamid Reza Karimi, Yuanjing Ge, Shan Xiong
2014 — conf
Dynamic division of traffic control sub-area methods based on the similarity of adjacent intersections.
ITSC
Haifeng Guo, Jun Cheng, Qitao Peng, Chao Zhu, Yuanjie Mu
2014 J jnl
Fault detection of discrete-time T-S fuzzy affine systems based on piecewise Lyapunov functions.
J. Frankl. Inst.
Haifeng Guo, Jianbin Qiu, Hui Tian, Huijun Gao
2012 J jnl
H∞ control of a class of discrete-time Markov jump linear systems with piecewise-constant TPs subject to average dwell time switching.
J. Frankl. Inst.
Lingjie Chen, Yu Leng, Haifeng Guo, Ping Shi, Lixian Zhang
2011 J jnl
Lifecycle-based Swarm Optimization Method for Constrained Optimization.
J. Comput.
Hai Shen, Yunlong Zhu, Li Jin, Haifeng Guo
2011 — conf
Research on Remanufacturing Reverse Logistics Network Optimization under Uncertain Recycling Number.
CSISE (3)
Haifeng Guo, Wenli Dai
2009 — conf
Bacterial foraging optimization algorithm with particle swarm optimization strategy for global numerical optimization.
GEC Summit
Hai Shen, Yunlong Zhu, Xiaoming Zhou, Haifeng Guo, Chunguang Chang
2008 — conf
Data Mining Techniques for Complex Formation Evaluation in Petroleum Exploration and Production: A Comparison of Feature Selection and Classification Methods.
PACIIA (1)
Hongqi Li, Haifeng Guo, Haimin Guo, Zhaoxu Meng
2007 — conf
Winsight: Towards Completely Automatic Backtranslation of Nemeth Code.
HCI (7)
Deepa Gopal, Qian Wang, Gopal Gupta, S. Chitnis, Haifeng Guo, Arthur I. Karshmer
2006 C conf
H Control of a State Matrix Model of Closed-loop Supply Chain and its Bullwhip Effect.
ICARCV
Haifeng Guo, Xiaoyuan Huang
2005 — conf
The Application of Utility Computing and Web-Services to Inventory Optimisation.
IEEE SCC
Haifeng Guo, Peter T. Galligan, Jim Mooney, Adrian Coronado, Dennis F. Kehoe