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Tie Hua Zhou

Tiehua Zhou

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affiliation: Northeast Electric Power University, Department of Computer Science and Technology, School of Computer Science, Jilin, China

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Journal Articles

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2024
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Tiehua Zhou, Zihan Yu, Ling Wang, Keun Ho Ryu:
A Mood Semantic Awareness Model for Emotional Interactive Robots. Sensors 24(3): 845 (2024)
[j5]
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Ling Wang, Cong Ding, Yifan Zhang, Tie Hua Zhou, Wei Ding, Keun Ho Ryu, Kwang Woo Nam:
Video Abnormal Behavior Recognition and Trajectory Prediction Based on Lightweight Skeleton Feature Extraction. Sensors 24(12): 3711 (2024)
[j4]
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Ling Wang, Tianshuo Bi, Jiayu Hao, Tie Hua Zhou:
Heart Diseases Recognition Model Based on HRV Feature Extraction over 12-Lead ECG Signals. Sensors 24(16): 5296 (2024)
2023
[j3]
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Ling Wang, Fangjie Song, Tie Hua Zhou, Jiayu Hao, Keun Ho Ryu:
EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism. Sensors 23(20): 8386 (2023)
[j2]
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Ling Wang, Jiayu Hao, Tie Hua Zhou:
ECG Multi-Emotion Recognition Based on Heart Rate Variability Signal Features Mining. Sensors 23(20): 8636 (2023)
2015
[j1]
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Ling Wang, Tie Hua Zhou, Yang Koo Lee, Kyung-Joo Cheoi, Keun Ho Ryu:
An efficient refinement algorithm for multi-label image annotation with correlation model. Telecommun. Syst. 60(2): 285-301 (2015)

Conference and Workshop Papers

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2025
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Tie Hua Zhou, Dong Sheng Li, Ling Wang, Chun Xu Yang, Wei Ding:
Features Coefficients Selection-based Decision Tree Classification Model for Robot Remote Control System Performance Bottlenecks Recognition. CSCWD 2025: 1234-1239
[c39]
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Tie Hua Zhou, Xirao Xun, Ling Wang, Keun Ho Ryu:
Electric Vehicle Charging Price Forecasting Based on Regional Electricity Demand Over Cross-Scale Adaptive Weighted Fusion Network. CSCWD 2025: 1240-1245
[c38]
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Ling Wang, Xiaoyan Xia, Tie Hua Zhou, Wanlin Zhang:
Dynamic Reachability Distance-Based Dense Clustering Method for Protein-DNA Sites Noise Reduction Based on the Predicted Binding Site Probabilities. CSCWD 2025: 1246-1251
[c37]
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Ling Wang, Xue Yan, Haoyu Hao, Tie Hua Zhou:
Multi-Features Fusion Scene Classification Model Based on Body Skeleton and Facial Keypoints Recognition Over Large-Scale Crowd Videos. CSCWD 2025: 1252-1257
[c36]
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Tie Hua Zhou, Zheng Yang Zhang, Ling Wang, Xi Wei Wang:
3D Molecular Docking Study of Drug-Drug Interactions Between Antidepressants and Immunosuppressive Drugs. CSCWD 2025: 1949-1954
[c35]
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Ling Wang, Ting Kai Wang, Tie Hua Zhou, Xiuting Jia, Huai Lin Zhao:
Hierarchical Query Classification and Optimization Algorithm for Computer Science Domain Information Retrieval. CSCWD 2025: 2047-2052
2024
[c34]
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Tie Hua Zhou, Wanlin Zhang, Ling Wang, Xiaoyan Xia, Keun Ho Ryu:
Protein Complex Identification Method based on Weighted Subgraph Clustering and Biocompatibility Evaluation. BIBM 2024: 5833-5840
[c33]
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Ling Wang, Xi Wei Wang, Tie Hua Zhou, Tian Yu Jin, Zheng Yang Zhang, Keun Ho Ryu:
MFFL-DSR: A Multi-Feature Fusion Learning Method for Discovering the Synergistic Relationships between Psychotropic and Cardiovascular Drugs. BIBM 2024: 7150-7152
[c32]
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Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang, Keun Ho Ryu:
Mining Latent Topical Key Phrase from Content to Context in Unrestricted Healthcare Data. CSCWD 2024: 1370-1375
[c31]
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Tie Hua Zhou, Ling Wang, Huai Lin Zhao, Fu Tao Ma, Lei Kou:
Dynamic Multi-Indicator Fusion Model for Real-Time Prediction Analysis. CSCWD 2024: 1443-1448
[c30]
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Tie Hua Zhou, Wanlin Zhang, Wei Ding, Yuan Li, Ling Wang:
Deep Semantic Context Analysis Based on Adaptive Knowledge Graph Construction for Artificial Intelligence Domain. CSCWD 2024: 2509-2514
[c29]
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Ling Wang, Haoyu Hao, Xue Yan, Xiwei Wang, Tie Hua Zhou, Keun Ho Ryu:
Multiple Knowledge Graphs Semantic Interaction based on Graph Embedding and Matching Processing. DSC 2024: 732-737
[c28]
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Tie Hua Zhou, Xiuting Jia, Xirao Xun, Tianshuo Bi, Ling Wang:
Knowledge Points Semantic Classification Method based on Graph Embedding over Co-word Networks. DSC 2024: 738-743
2023
[c27]
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Ling Wang, Fangjie Song, Tie Hua Zhou, Chunxu Yang, Wanlin Zhang:
Mining the Potential Temporal Features Based on Wearable EEG Signals for Driving State Analysis. CSoNet 2023: 93-101
[c26]
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Tie Hua Zhou, Jinwei Wang, Ling Wang, Haoyu Hao, Tianshuo Bi:
Stress Expression Identification Model for Emotion-Driven Association Calculation over Social Network Blogs. CSoNet 2023: 407-415
[c25]
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  - conf/hp3c/0011YLZ23
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Ling Wang, Zihan Yu, Yu Lu, Tie Hua Zhou:
Semantic Deep Mining Method for Recommendation Based on Small-World Graphs. HP3C 2023: 21-26
[c24]
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Tie Hua Zhou, Tian Yu Jin, Ling Wang, Peng-Cheng Xu:
Predicting Drug Target Genes Based on PPI and PDI Networks. HP3C 2023: 134-138
[c23]
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Ling Wang, Jiayu Hao, Tie Hua Zhou, Fangjie Song:
ECG Stress Detection Model Based on Heart Rate Variability Feature Extraction. HP3C 2023: 184-188
2021
[c22]
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Ling Wang, Yuanhao Mei, Shiru Gao, Tiehua Zhou:
Combined Spatial Features Recognition Method for Similar Video Action Automatic Classification. AICCC 2021: 1-6
[c21]
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Tiehua Zhou, Shiru Gao, Yuanhao Mei, Ling Wang:
Facial Expressions and Body Postures Emotion Recognition based on Convolutional Attention Network. CITS 2021: 1-5
[c20]
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Tiehua Zhou, Yingxuan Tang, Ling Gong, Hua Xie, Minglei Shan, Ling Wang:
MIC Model for Cervical Cancer Risk Factors Deep Association Analysis. CSoNet 2021: 147-155
[c19]
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  - conf/icgec/ZhouHM021
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Tiehua Zhou, Jiayu Hao, Futao Ma, Ling Wang:
Dynamic Multiple Indicators Matching Processing for Power Load Forecasting System. ICGEC 2021: 114-124
[c18]
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Ling Wang, Minglei Shan, Tong Li, Yingxuan Tang, Tiehua Zhou:
Medical Phrase Mining Method for Biomedical Text Processing. ICGEC 2021: 169-178
[c17]
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Tiehua Zhou, Yifan Zhang, Yuan Li, Ling Wang:
FM-Mnet Real-Time Object Detection Model for Video Feature Fusion Processing. ICGEC 2021: 249-258
2020
[c16]
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  - conf/aciids/WangLZL20
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Ling Wang, Jian Li, Tie Hua Zhou, Wen Qiang Liu:
Association Rules Extraction Method for Semantic Query Processing Over Medical Big Data. ACIIDS (Companion) 2020: 109-120
[c15]
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Tie Hua Zhou, Wen Qiang Liu, Ling Wang, Jian Li:
Popular Disease Topics Mining Method for Online Medical Community. ACIIDS (Companion) 2020: 121-132
[c14]
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  - conf/icic/ZhouJLW20
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Tie Hua Zhou, Bo Jiang, Yu Lu, Ling Wang:
An Adaptive Seed Node Mining Algorithm Based on Graph Clustering to Maximize the Influence of Social Networks. ICIC (3) 2020: 498-509
[c13]
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  - conf/icic/ZhouLLPW20
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Tie Hua Zhou, Wen Long Liang, Hang Yu Liu, Wei Jian Pu, Ling Wang:
Wavelet-Based Emotion Recognition Using Single Channel EEG Device. ICIC (3) 2020: 510-519
[c12]
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Ling Wang, Yu Lu, Bo Jiang, Kai Tai Gao, Tie Hua Zhou:
Dense Subgraphs Summarization: An Efficient Way to Summarize Large Scale Graphs by Super Nodes. ICIC (3) 2020: 520-530
2018
[c11]
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Ling Wang, Zhiyuan Chen, Tie Hua Zhou, Wenge Dong, Gongliang Hu:
SOM-Based Multivariate Nonlinear Vector Time Series Model for Real-Time Electricity Price Forecasting. ICIC (1) 2018: 147-159
[c10]
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  - conf/iih-msp/WangMZG18
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Ling Wang, Fu Tao Ma, Tie Hua Zhou, Xue Gao:
Multi-attributes Graph Algorithm for Association Rules Mining Over Energy Internet. IIH-MSP (1) 2018: 11-18
[c9]
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Tie Hua Zhou, Cong Hui Sun, Ling Wang, Gongliang Hu:
Real-Time Electricity Pricing Trend Forecasting Based on Multi-density Clustering and Sequence Pattern Mining. IIH-MSP (1) 2018: 19-26
[c8]
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Zhen Hong Liu, Gongliang Hu, Tie Hua Zhou, Ling Wang:
TDT_CC: A Hot Topic Detection and Tracking Algorithm Based on Chain of Causes. IIH-MSP (1) 2018: 27-34
2015
[c7]
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  - conf/iccci/WangDZR15
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Ling Wang, Wei Ding, Tie Hua Zhou, Keun Ho Ryu:
Text Relevance Analysis Method over Large-Scale High-Dimensional Text Data Processing. ICCCI (1) 2015: 371-379
[c6]
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Ling Wang, Tie Hua Zhou, Zhen Hong Liu, Zhao Yang Qu, Keun Ho Ryu:
Approximate Bit-Vector Algorithms for Hashing-Based Similarity Searches. ICIC (1) 2015: 615-622
2014
[c5]
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Ling Wang, Zhao Yang Qu, Tie Hua Zhou, Xiuming Yu, Keun Ho Ryu:
A PWF Smoothing Algorithm for K-Sensitive Stream Mining Technologies over Sliding Windows. ICCCI 2014: 504-514
2013
[c4]
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Ling Wang, Zhao Yang Qu, Tie Hua Zhou, Keun Ho Ryu:
Using a Real-Time Top-k Algorithm to Mine the Most Frequent Items over Multiple Streams. ICIC (1) 2013: 305-314
2010
[c3]
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Tie Hua Zhou, Ling Wang, Ho-Sun Shon, Yang Koo Lee, Keun Ho Ryu:
Correlated Multi-label Refinement for Semantic Noise Removal. ICIC (2) 2010: 309-316
[c2]
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Ling Wang, Tie Hua Zhou, Ho-Sun Shon, Yang Koo Lee, Keun Ho Ryu:
Extract and Maintain the Most Helpful Wavelet Coefficients for Continuous K-Nearest Neighbor Queries in Stream Processing. ICIC (3) 2010: 358-363
2008
[c1]
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Tie Hua Zhou, Byeong Mun Heo, Ling Wang, Yang Koo Lee, Duckjin Chai, Keun Ho Ryu:
A Prototype of Multimedia Metadata Management System for Supporting the Integration of Heterogeneous Sources. ICIC (1) 2008: 1095-1102

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