Junzhou Zhao

102 papers A* 23A 1B 1Journal 69Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Theoretical Analysis of Detecting Large Model-Generated Time Series.
AAAI
Junji Hou, Junzhou Zhao, Shuo Zhang, Pinghui Wang
2026 J jnl
Extracting Training Dialogue Data From Large Language Model-Based Task Bots.
IEEE Trans. Inf. Forensics Secur.
Shuo Zhang, Junzhou Zhao, Junji Hou, Pinghui Wang, Chenxu Wang, Jing Tao
2026 J jnl
Extracting Training Dialogue Data from Large Language Model based Task Bots.
CoRR
Shuo Zhang, Junzhou Zhao, Junji Hou, Pinghui Wang, Chenxu Wang, Jing Tao
2026 J jnl
FloCA: Towards Faithful and Logically Consistent Flowchart Reasoning.
CoRR
Jinzi Zou, Bolin Wang, Liang Li, Shuo Zhang, Nuo Xu, Junzhou Zhao
2026 J jnl
MPC-FH: Privately Estimating Frequency Histogram for Advertising Measurement.
IEEE Trans. Dependable Secur. Comput.
Pinghui Wang, Haoxin Yang, Dongxu Zeng, Hong Xie, Junzhou Zhao, Xiaohong Guan
2026 B conf
RTCM: A Distributed Snapshot-Based Framework for Real-Time Co-Movement Mining.
EDBT
Chenxu Wang, Jiaxing Wei, Tianyi Li, Hongzhen Xiang, Junzhou Zhao, Pinghui Wang, Tao Qin, Yushuai Li, Christian S. Jensen
2025 J jnl
A Theoretical Analysis of Detecting Large Model-Generated Time Series.
CoRR
Junji Hou, Junzhou Zhao, Shuo Zhang, Pinghui Wang
2025 — conf
BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-Scale Cloud Infrastructure Systems.
SEIP@ICSE
Tao Duan, Runqing Chen, Pinghui Wang, Junzhou Zhao, Jiongzhou Liu, Shujie Han, Yi Liu, Fan Xu
2025 J jnl
BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems.
CoRR
Tao Duan, Runqing Chen, Pinghui Wang, Junzhou Zhao, Jiongzhou Liu, Shujie Han, Yi Liu, Fan Xu
2025 J jnl
Building Accurate and Interpretable Online Classifiers on Edge Devices.
IEEE Trans. Parallel Distributed Syst.
Yuanming Zhang, Pinghui Wang, Kuankuan Cheng, Junzhou Zhao, Jing Tao, Jingxin Hai, Junlan Feng, Chao Deng, Xidian Wang
2025 J jnl
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge.
ACM Trans. Inf. Syst.
Nuo Xu, Pinghui Wang, Junzhou Zhao, Feiyang Sun, Lin Lan, Jing Tao, Li Pan, Xiaohong Guan
2025 J jnl
How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching.
ACM Trans. Inf. Syst.
Nuo Xu, Pinghui Wang, Zi Liang, Junzhou Zhao, Xiaohong Guan
2025 J jnl
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching.
CoRR
Nuo Xu, Pinghui Wang, Zi Liang, Junzhou Zhao, Xiaohong Guan
2025 J jnl
MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy.
CoRR
Chang Liu, Junzhou Zhao
2025 — conf
PARSIFAL: Private and Robust Sign Federated Learning.
KDD (2)
Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao
2025 J jnl
Poisoning Attacks and Defenses to Learned Bloom Filters for Malicious URL Detection.
IEEE Trans. Dependable Secur. Comput.
Fangming Dong, Pinghui Wang, Rundong Li, Xueyao Cui, Junzhou Zhao, Jing Tao, Chen Zhang, Xiaohong Guan
2025 — conf
Task Negative Sampling Enhanced Graph Few-shot Learning.
KDD (2)
Chenxu Wang, Jinfeng Chen, Junzhou Zhao, Pinghui Wang
2024 A* conf
A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities.
ICDE
Peng Jia, Pinghui Wang, Rundong Li, Junzhou Zhao, Junlan Feng, Xidian Wang, Xiaohong Guan
2024 A* conf
A Revisit to Graph Neighborhood Cardinality Estimation.
ICDE
Pinghui Wang, Yuanming Zhang, Kuankuan Cheng, Junzhou Zhao
2024 J jnl
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge.
CoRR
Nuo Xu, Pinghui Wang, Junzhou Zhao, Feiyang Sun, Lin Lan, Jing Tao, Li Pan, Xiaohong Guan
2024 J jnl
Half-Xor: A Fully-Dynamic Sketch for Estimating the Number of Distinct Values in Big Tables.
IEEE Trans. Knowl. Data Eng.
Pinghui Wang, Dongdong Xie, Junzhou Zhao, Jinsong Li, Zhicheng Li, Rundong Li, Yang Ren, Jia Di
2024 A* conf
Representation Learning of Tangled Key-Value Sequence Data for Early Classification.
ICDE
Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, Pinghui Wang
2024 J jnl
Representation Learning of Tangled Key-Value Sequence Data for Early Classification.
CoRR
Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, Pinghui Wang
2024 J jnl
Robust Visual Question Answering: Datasets, Methods, and Future Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao
2024 A* conf
SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning.
WWW
Chenxu Wang, Xichan Nie, Jinfeng Chen, Pinghui Wang, Junzhou Zhao, Xiaohong Guan
2024 J jnl
Sketching Data Distribution by Rotation.
IEEE Trans. Knowl. Data Eng.
Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan
2024 — conf
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models.
ACL (Findings)
Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
2024 J jnl
Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints.
Knowl. Based Syst.
Yujun Wang, Xiaopeng Hong, Yabin Wang, Junzhou Zhao, Guanghui Sun, Baoxing Qin
2024 J jnl
Tracking Influencers in Decaying Social Activity Streams With Theoretical Guarantees.
IEEE/ACM Trans. Netw.
Junzhou Zhao, Pinghui Wang, Wei Zhang, Zhaosong Zhang, Maoli Liu, Jing Tao, John C. S. Lui
2023 J jnl
An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation.
CoRR
Pinghui Wang, Chengjin Yang, Dongdong Xie, Junzhou Zhao, Hui Li, Jing Tao, Xiaohong Guan
2023 J jnl
An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation.
Proc. ACM Manag. Data
Pinghui Wang, Chengjin Yang, Dongdong Xie, Junzhou Zhao, Hui Li, Jing Tao, Xiaohong Guan
2023 J jnl
Fast Gumbel-Max Sketch and its Applications.
CoRR
Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
2023 J jnl
Fast Gumbel-Max Sketch and its Applications.
IEEE Trans. Knowl. Data Eng.
Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
2023 J jnl
Federated Learning Over Coupled Graphs.
IEEE Trans. Parallel Distributed Syst.
Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan
2023 J jnl
Federated Learning over Coupled Graphs.
CoRR
Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan
2023 J jnl
FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs.
Inf. Fusion
Chenxu Wang, Zhenhao Huang, Yue Wan, Junyu Wei, Junzhou Zhao, Pinghui Wang
2023 J jnl
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.
CoRR
Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
2023 A* conf
Multi-Action Dialog Policy Learning from Logged User Feedback.
AAAI
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng
2023 J jnl
Multi-Action Dialog Policy Learning from Logged User Feedback.
CoRR
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng
2023 J jnl
Robust Visual Question Answering: Datasets, Methods, and Future Challenges.
CoRR
Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao
2022 A* conf
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs.
IJCAI
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng
2022 J jnl
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs.
CoRR
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng
2022 A* conf
Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs.
ICDE
Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, Xiaohong Guan
2022 J jnl
Approximately Counting Butterflies in Large Bipartite Graph Streams.
IEEE Trans. Knowl. Data Eng.
Rundong Li, Pinghui Wang, Peng Jia, Xiangliang Zhang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan
2022 J jnl
Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams.
IEEE Trans. Knowl. Data Eng.
Peng Jia, Pinghui Wang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan
2022 J jnl
Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns.
IEEE Trans. Mob. Comput.
Feiyang Sun, Pinghui Wang, Junzhou Zhao, Nuo Xu, Juxiang Zeng, Jing Tao, Kaikai Song, Chao Deng, John C. S. Lui, Xiaohong Guan
2021 — conf
Bidirectionally Densifying LSH Sketches with Empty Bins.
SIGMOD Conference
Peng Jia, Pinghui Wang, Junzhou Zhao, Shuo Zhang, Yiyan Qi, Min Hu, Chao Deng, Xiaohong Guan
2021 — conf
Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying.
SIGMOD Conference
Rundong Li, Pinghui Wang, Jiongli Zhu, Junzhou Zhao, Jia Di, Xiaofei Yang, Kai Ye
2021 A* conf
Fast Rotation Kernel Density Estimation over Data Streams.
KDD
Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan, Chao Deng
2021 A* conf
Learning to Check Contract Inconsistencies.
AAAI
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng
2021 A* conf
LogLog Filter: Filtering Cold Items within a Large Range over High Speed Data Streams.
ICDE
Peng Jia, Pinghui Wang, Junzhou Zhao, Ye Yuan, Jing Tao, Xiaohong Guan
2021 A* conf
Temporal Biased Streaming Submodular Optimization.
KDD
Junzhou Zhao, Pinghui Wang, Chao Deng, Jing Tao
2021 J jnl
Tracking triadic cardinality distributions for burst detection in high-speed graph streams.
Knowl. Inf. Syst.
Junzhou Zhao, Pinghui Wang, Zhouguo Chen, Jianwei Ding, John C. S. Lui, Don Towsley, Xiaohong Guan
2020 A* conf
Continuously Tracking Core Items in Data Streams with Probabilistic Decays.
ICDE
Junzhou Zhao, Pinghui Wang, Jing Tao, Shuo Zhang, John C. S. Lui
2020 A* conf
Distinguish Confusing Law Articles for Legal Judgment Prediction.
ACL
Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao
2020 J jnl
Distinguish Confusing Law Articles for Legal Judgment Prediction.
CoRR
Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao
2020 A* conf
Fast Generating A Large Number of Gumbel-Max Variables.
WWW
Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
2020 J jnl
Fast Generating A Large Number of Gumbel-Max Variables.
CoRR
Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
2020 J jnl
Improving network embedding with partially available vertex and edge content.
Inf. Sci.
Lin Lan, Pinghui Wang, Junzhou Zhao, Jing Tao, John C. S. Lui, Xiaohong Guan
2020 J jnl
Learning to Check Contract Inconsistencies.
CoRR
Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng
2020 J jnl
Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications.
ACM Trans. Inf. Syst.
Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui
2019 J jnl
Fast crawling methods of exploring content distributed over large graphs.
Knowl. Inf. Syst.
Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan
2019 J jnl
Inferring Higher-Order Structure Statistics of Large Networks from Sampled Edges.
IEEE Trans. Knowl. Data Eng.
Pinghui Wang, Yiyan Qi, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao
2019 A* conf
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions.
IJCAI
Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao
2019 J jnl
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions.
CoRR
Nuo Xu, Pinghui Wang, Long Chen, Jing Tao, Junzhou Zhao
2019 J jnl
Optimizing node discovery on networks: Problem definitions, fast algorithms, and observations.
Inf. Sci.
Junzhou Zhao, Pinghui Wang, John C. S. Lui
2019 J jnl
Practical characterization of large networks using neighborhood information.
Knowl. Inf. Syst.
Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C. S. Lui, Don Towsley, Xiaohong Guan
2019 J jnl
SNOD: a fast sampling method of exploring node orbit degrees for large graphs.
Knowl. Inf. Syst.
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, Xiaohong Guan
2019 J jnl
Sampling online social networks by random walk with indirect jumps.
Data Min. Knowl. Discov.
Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan
2019 A* conf
Submodular Optimization over Streams with Inhomogeneous Decays.
AAAI
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2019 A* conf
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks.
ICDE
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2018 A* conf
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract).
ICDE
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Xiaohong Guan
2018 J jnl
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs.
IEEE Trans. Knowl. Data Eng.
Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Jing Tao, Xiaohong Guan
2018 A* conf
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.
IJCAI
Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui
2018 J jnl
Submodular Optimization Over Streams with Inhomogeneous Decays.
CoRR
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2018 J jnl
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks.
CoRR
Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang
2017 J jnl
I/O-efficient calculation of H-group closeness centrality over disk-resident graphs.
Inf. Sci.
Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan
2017 A conf
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.
RecSys
Xiaoying Zhang, Junzhou Zhao, John C. S. Lui
2017 J jnl
Sampling Online Social Networks by Random Walk with Indirect Jumps.
CoRR
Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan
2017 J jnl
Towards Efficient Node Discoverability Optimization on Large Networks.
CoRR
Junzhou Zhao, John C. S. Lui, Pinghui Wang, Xiaohong Guan
2017 J jnl
Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Multigraph Streams.
CoRR
Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan
2016 J jnl
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs.
CoRR
Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan
2016 A* conf
Minfer: A method of inferring motif statistics from sampled edges.
ICDE
Pinghui Wang, John C. S. Lui, Donald F. Towsley, Junzhou Zhao
2015 A* conf
A tale of three graphs: Sampling design on hybrid social-affiliation networks.
ICDE
Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan
2015 J jnl
Moss: A Scalable Tool for Efficiently Sampling and Counting 4- and 5-Node Graphlets.
CoRR
Pinghui Wang, Jing Tao, Junzhou Zhao, Xiaohong Guan
2015 — conf
Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams.
COSN
Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan
2015 J jnl
Unbiased Characterization of Node Pairs over Large Graphs.
ACM Trans. Knowl. Discov. Data
Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan
2014 J jnl
A New Sketch Method for Measuring Host Connection Degree Distribution.
IEEE Trans. Inf. Forensics Secur.
Pinghui Wang, Xiaohong Guan, Junzhou Zhao, Jing Tao, Tao Qin
2014 J jnl
A Tale of Three Social Networks: User Activity Comparisons across Facebook, Twitter, and Foursquare.
IEEE Internet Comput.
Pinghui Wang, Wenbo He, Junzhou Zhao
2014 J jnl
Design of Efficient Sampling Methods on Hybrid Social-Affiliation Networks.
CoRR
Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan
2014 J jnl
Efficiently Estimating Motif Statistics of Large Networks.
ACM Trans. Knowl. Discov. Data
Pinghui Wang, John C. S. Lui, Bruno F. Ribeiro, Don Towsley, Junzhou Zhao, Xiaohong Guan
2014 — conf
Measuring and maximizing group closeness centrality over disk-resident graphs.
WWW (Companion Volume)
Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan
2014 J jnl
Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams.
CoRR
Junzhou Zhao, John C. S. Lui, Don Towsley, Pinghui Wang, Xiaohong Guan
2014 J jnl
Whom to follow: Efficient followee selection for cascading outbreak detection on online social networks.
Comput. Networks
Junzhou Zhao, John C. S. Lui, Donald F. Towsley, Xiaohong Guan
2013 J jnl
A Peep on the Interplays between Online Video Websites and Online Social Networks
CoRR
Junzhou Zhao, Pinghui Wang, Jing Tao, Xiaobo Ma, Xiaohong Guan
2013 J jnl
Efficiently Estimating Subgraph Statistics of Large Networks in the Dark.
CoRR
Pinghui Wang, John C. S. Lui, Junzhou Zhao, Bruno F. Ribeiro, Don Towsley, Xiaohong Guan
2013 J jnl
On Analyzing Estimation Errors due to Constrained Connections in Online Review Systems.
CoRR
Junzhou Zhao
2013 J jnl
Practical Characterization of Large Networks Using Neighborhood Information.
CoRR
Pinghui Wang, Bruno F. Ribeiro, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan
2013 J jnl
Sampling Content Distributed Over Graphs.
CoRR
Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan
2013 A* conf
Sampling node pairs over large graphs.
ICDE
Pinghui Wang, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan
2013 J jnl
Social Sensor Placement in Large Scale Networks: A Graph Sampling Perspective
CoRR
Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan, Pinghui Wang
2010 J jnl
Group dynamics in discussing incidental topics over online social networks.
IEEE Netw.
Yadong Zhou, Xiaohong Guan, Qinghua Zheng, Qindong Sun, Junzhou Zhao