Pinghui Wang

201 papers A* 52B 3Journal 130Unranked 16
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
AdDetector: Detecting Chinese Advertorials on Social Media Platforms with Textual and Social Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Haitao Bai, Pinghui Wang, Ruofei Zhang, Zi Liang, Ziyang Zhou, Zhou Su
2026 J jnl
Attacks and Detections in Recommender Systems: A Comprehensive Analysis for Models, Progresses, and Trends.
IEEE Trans. Knowl. Data Eng.
Yan Feng, Zhihai Yang, Kexin Li, Jianxin Li, Pinghui Wang, Zhiquan Liu
2026 J jnl
Bala-Join: An Adaptive Hash Join for Balancing Communication and Computation in Geo-Distributed SQL Databases.
CoRR
Wenlong Song, Hui Li, Bingying Zhai, Jinxin Yang, Pinghui Wang, Luming Sun, Ming Li, Jiangtao Cui
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
Is AI Ready for Multimodal Hate Speech Detection? A Comprehensive Dataset and Benchmark Evaluation.
CoRR
Rui Xing, Qi Chai, Jie Ma, Jing Tao, Pinghui Wang, Shuming Zhang, Xinping Wang, Hao Wang
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 J jnl
Meet Trick With Trick: Revealing Collusion Intentions in Highly Concealed Poisoning Behavior.
IEEE Trans. Dependable Secur. Comput.
Zhihai Yang, Yan Feng, Jianxin Li, Pinghui Wang, Zhiquan Liu
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
2026 — conf
SGA: Self-boosting Attributed Graph Alignment via Neighborhood Consistency-based Edge Enhancement.
KDD (1)
Chenxu Wang, Wencong Lin, Pinghui Wang, Tao Qin, Wei Wang, Xiaohong Guan
2026 J jnl
Securely Answering Multi-Hop Questions on the Joint of Private and Public Knowledge Graphs.
IEEE Trans Autom. Sci. Eng.
Shuaipeng Li, Baoyu An, Xueyang Huo, Jie Ma, Yuansi Zhang, Linxi Cai, Pinghui Wang, Chao-Bo Yan
2026 J jnl
When Unknown Threat Meets Label Noise: A Self-Correcting Framework.
IEEE Trans. Dependable Secur. Comput.
Qianwei Meng, Qingjun Yuan, Jing Tao, Pinghui Wang, Siqi Lu, Guangsong Li, Yongjuan Wang, Xiaohong Guan
2026 J jnl
Who is the wolf in sheep's clothing? a context-aware trust evaluation model for malicious UAV detection during authentication.
Comput. Networks
Xinxin Wang, Qingjun Yuan, Chengcheng Liu, Pinghui Wang, Jing Tao, Lidong Li, Xiangyu Wang, Yongjuan Wang
2026 — conf
ZRing: A Dynamic Sketch for Weighted Cardinality Estimation in Data Streams.
KDD (1)
Zhicheng Li, Pinghui Wang, Qiheng Song, Rundong Li, Tong Yang, Qun Huang
2025 J jnl
A Fast, Mergeable, and LDP Compatible Sketch for Counting the Number of Distinct Values in Fully Dynamic Tables.
Proc. ACM Manag. Data
Zhicheng Li, Pinghui Wang, Zeli Lin, Bichun Chen, Dongdong Xie
2025 J jnl
A Theoretical Analysis of Detecting Large Model-Generated Time Series.
CoRR
Junji Hou, Junzhou Zhao, Shuo Zhang, Pinghui Wang
2025 A* conf
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering.
IJCAI
Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin 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 A* conf
Cross-Modal 3D Representation with Multi-View Images and Point Clouds.
CVPR
Ziyang Zhou, Pinghui Wang, Zi Liang, Haitao Bai, Ruofei Zhang
2025 J jnl
DAPEW: Towards robust collaborative filtering with graph contrastive learning.
Knowl. Based Syst.
Kuiyu Zhu, Tao Qin, Haoxing Liu, Chenxu Wang, Pinghui Wang
2025 A* conf
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models.
AAAI
Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui
2025 J jnl
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs.
CoRR
Jie Ma, Ning Qu, Zhitao Gao, Rui Xing, Jun Liu, Hongbin Pei, Jiang Xie, Linyun Song, Pinghui Wang, Jing Tao, Zhou Su
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
Efficient and Accurate Differentially Private Cardinality Continual Releases.
Proc. ACM Manag. Data
Dongdong Xie, Pinghui Wang, Quanqing Xu, Chuanhui Yang, Rundong Li
2025 A* conf
Exploring Intrinsic Alignments Within Text Corpus.
AAAI
Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui
2025 A* conf
Fast Private Retrieval on Key-Value Store with Multiple Values per Key.
ICDE
Fangming Dong, Pinghui Wang, Yuance Wang, Chen Zhang, Lizhen Cui
2025 — conf
Few-shot Knowledge Extraction for Manufacturing Domain Based on Large Language Models.
CASE
Shuaipeng Li, Pinghui Wang, Huajie Gao, Chao-Bo Yan
2025 — conf
FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection.
WWW (Companion Volume)
Xiaoguang Wang, Chenxu Wang, Huanlong Liu, Mengqin Wang, Tao Qin, Pinghui Wang
2025 J jnl
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning.
CoRR
Jie Ma, Zhitao Gao, Qi Chai, Jun Liu, Pinghui Wang, Jing Tao, Zhou Su
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
Improving Representation Alignment and Uniformity With Siamese Graph Contrastive Learning for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Kuiyu Zhu, Tao Qin, Xin Wang, Pinghui Wang, Xiaohong Guan
2025 A* conf
IsGCL: Informative Sample-Aware Progressive Graph Contrastive Learning.
ICDE
Juxiang Zeng, Pinghui Wang, Linbo Ma, Jing Tao, Xiaohong Guan
2025 A* conf
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
AAAI
Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai
2025 J jnl
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
CoRR
Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai
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 A* conf
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics.
ICML
Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan
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
An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities.
Proc. ACM Manag. Data
Pinghui Wang, Yitong Liu, Zhicheng Li, Rundong Li
2024 J jnl
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models.
CoRR
Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui
2024 J jnl
Diagram Perception Networks for Textbook Question Answering via Joint Optimization.
Int. J. Comput. Vis.
Jie Ma, Jun Liu, Qi Chai, Pinghui Wang, Jing Tao
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
GTCAlign: Global Topology Consistency-Based Graph Alignment.
IEEE Trans. Knowl. Data Eng.
Chenxu Wang, Peijing Jiang, Xiangliang Zhang, Pinghui Wang, Tao Qin, Xiaohong Guan
2024 A* conf
Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge Distillation.
SIGIR
Lin Lan, Pinghui Wang, Rui Shi, Tingqing Liu, Juxiang Zeng, Feiyang Sun, Yang Ren, Jing Tao, Xiaohong Guan
2024 A* conf
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning.
AAAI
Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, 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
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering.
NeurIPS
Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du
2024 J jnl
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering.
CoRR
Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du
2024 A* conf
MERGE: Fast Private Text Generation.
AAAI
Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou
2024 A* conf
Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning.
WWW
Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan
2024 A* conf
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing.
ICML
Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan
2024 A* conf
PAIR: Pre-denosing Augmented Image Retrieval Model for Defending Adversarial Patches.
ACM Multimedia
Ziyang Zhou, Pinghui Wang, Zi Liang, Ruofei Zhang, Haitao Bai
2024 A* conf
QSketch: An Efficient Sketch for Weighted Cardinality Estimation in Streams.
KDD
Yiyan Qi, Rundong Li, Pinghui Wang, Yufang Sun, Rui Xing
2024 J jnl
QSketch: An Efficient Sketch for Weighted Cardinality Estimation in Streams.
CoRR
Yiyan Qi, Rundong Li, Pinghui Wang, Yufang Sun, Rui Xing
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 A* conf
SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning.
ICDE
Chenxu Wang, Xin Yang, Tianyi Li, Jiaxing Wei, Pinghui Wang, Hongzhen Xiang, Christian S. Jensen
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 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
2024 J jnl
XTQA: Span-Level Explanations for Textbook Question Answering.
IEEE Trans. Neural Networks Learn. Syst.
Jie Ma, Qi Chai, Jun Liu, Qingyu Yin, Pinghui Wang, Qinghua Zheng
2023 J jnl
A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue.
IEEE/ACM Trans. Netw.
Yuntao Wang, Zhou Su, Qichao Xu, Ruidong Li, Tom H. Luan, Pinghui Wang
2023 J jnl
Adaptive loose optimization for robust question answering.
CoRR
Jie Ma, Pinghui Wang, Zewei Wang, Dechen Kong, Min Hu, Ting Han, Jun Liu
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
Healing Unsafe Dialogue Responses with Weak Supervision Signals.
CoRR
Zi Liang, Pinghui Wang, Ruofei Zhang, Shuo Zhang, Xiaofan Ye, Yi Huang, Junlan Feng
2023 J jnl
MERGE: Fast Private Text Generation.
CoRR
Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang
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
Optimizing recommendations under abandonment risks: Models and algorithms.
Perform. Evaluation
Xuchuang Wang, Hong Xie, Pinghui Wang, John C. S. Lui
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
2023 J jnl
Robust and Transferable Log-based Anomaly Detection.
Proc. ACM Manag. Data
Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong
2023 J jnl
Robust integrated planning for LEO satellite network design and service operations.
Oper. Res. Lett.
Zeyu Zhang, Chao Zhang, Qiao-Chu He, Pinghui Wang
2023 A* conf
SegFormer: A Topic Segmentation Model with Controllable Range of Attention.
AAAI
Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su
2023 J jnl
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang
2023 A* conf
Towards Understanding the Instability of Network Embedding (Extended Abstract).
ICDE
Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan
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 J jnl
A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue.
CoRR
Yuntao Wang, Zhou Su, Qichao Xu, Ruidong Li, Tom H. Luan, Pinghui Wang
2022 J jnl
AEP: Aligning knowledge graphs via embedding propagation.
Neurocomputing
Chenxu Wang, Yue Wan, Zhenhao Huang, Panpan Meng, Pinghui Wang
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
Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time.
IEEE Trans. Knowl. Data Eng.
Peng Jia, Pinghui Wang, Yuchao Zhang, Xiangliang Zhang, Jing Tao, Jianwei Ding, Xiaohong Guan, Don Towsley
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 — conf
Contrastive Representation based Active Learning for Time Series.
DASC/PiCom/CBDCom/CyberSciTech
Lujia Pan, Marcus Kalander, Yuchao Zhang, Pinghui Wang
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 — conf
FBPB-SE: A Forward and Backward Private Blockchain-based Searchable Encryption with Fuzzy Multi-keyword.
DASC/PiCom/CBDCom/CyberSciTech
Chengjin Yang, Dongdong Xie, Linxi Cai, Pinghui Wang
2022 J jnl
Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation.
IEEE Trans. Knowl. Data Eng.
Changyu Wang, Kevin Chen-Chuan Chang, Pinghui Wang, Tao Qin, Xiaohong Guan
2022 J jnl
LDAAD: An effective label de-noising approach for anomaly detection.
J. Intell. Fuzzy Syst.
Lujia Pan, Marcus Kalander, Pinghui Wang
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
2022 J jnl
MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback.
Knowl. Based Syst.
Chenxu Wang, Yu Yang, Kaiqiang Suo, Pinghui Wang
2022 J jnl
Towards Understanding the Instability of Network Embedding.
IEEE Trans. Knowl. Data Eng.
Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan
2021 J jnl
A machine learning based approach for user privacy preservation in social networks.
Peer-to-Peer Netw. Appl.
Yuanming Zhang, Jing Tao, Shuo Zhang, Yuchao Zhang, Pinghui Wang
2021 B conf
Automated Intelligent Healing in Cloud-Scale Data Centers.
SRDS
Rui Li, Zhinan Cheng, Patrick P. C. Lee, Pinghui Wang, Yi Qiang, Lin Lan, Cheng He, Jinlong Lu, Mian Wang, Xinquan Ding
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 J jnl
Streaming Algorithms for Estimating High Set Similarities in LogLog Space.
IEEE Trans. Knowl. Data Eng.
Yiyan Qi, Pinghui Wang, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, Guangjian Tian, John C. S. Lui, 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 J jnl
Addressing the train-test gap on traffic classification combined subflow model with ensemble learning.
Knowl. Based Syst.
Changyu Wang, Xiaohong Guan, Tao Qin, Pinghui Wang, Jing Tao, Yongwei Meng, Jingyuan Liu
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 J jnl
Discriminative Streaming Network Embedding.
Knowl. Based Syst.
Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang
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 A* conf
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding.
NeurIPS
Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan
2020 J jnl
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding.
CoRR
Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan
2020 J jnl
Proactive microwave link anomaly detection in cellular data networks.
Comput. Networks
Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang
2020 J jnl
Symmetry Degree Measurement and its Applications to Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Tao Qin, Zhaoli Liu, Pinghui Wang, Shancang Li, Xiaohong Guan, Lixin Gao
2019 A* conf
A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams.
ICDE
Peng Jia, Pinghui Wang, Jing Tao, Xiaohong Guan
2019 J jnl
A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams.
CoRR
Peng Jia, Pinghui Wang, Jing Tao, Xiaohong Guan
2019 — conf
A Large-Scale Empirical Study of Internet Users' Privacy Leakage in China.
DASC/PiCom/DataCom/CyberSciTech
Yuanming Zhang, Shuo Zhang, Yuchao Zhang, Jing Tao, Pinghui Wang
2019 A* conf
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets.
KDD
Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan
2019 J jnl
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets.
CoRR
Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan
2019 J jnl
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps.
ACM Trans. Knowl. Discov. Data
Fabricio Murai, Bruno Ribeiro, Don Towsley, Pinghui Wang
2019 J jnl
Continuously Distinct Sampling over Centralized and Distributed High Speed Data Streams.
IEEE Trans. Parallel Distributed Syst.
Pinghui Wang, Xiangyu Wang, Jing Tao, Peng Zhang, Xiaohong Guan
2019 J jnl
Detecting a Variety of Long-Term Stealthy User Behaviors on High Speed Links.
IEEE Trans. Knowl. Data Eng.
Pinghui Wang, Peng Jia, Jing Tao, Xiaohong Guan
2019 J jnl
Effectively Linking Persons on Cameras and Mobile Devices on Networks.
IEEE Internet Comput.
Juxiang Zeng, Pinghui Wang, Qiqi Zhao, Jianye Pang, Jing Tao, Xiaohong Guan
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 A* conf
Meta Reinforcement Learning with Task Embedding and Shared Policy.
IJCAI
Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
2019 J jnl
Meta Reinforcement Learning with Task Embedding and Shared Policy.
CoRR
Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
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 A* conf
REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel.
ICDE
Pinghui Wang, Peng Jia, Yiyan Qi, Yu Sun, Jing Tao, 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
2019 A* conf
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time.
ICDE
Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley
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
Mining Long-Term Stealthy User Behaviors on High Speed Links.
INFOCOM
Pinghui Wang, Peng Jia, Jing Tao, Xiaohong Guan
2018 J jnl
Predicting attributes and friends of mobile users from AP-Trajectories.
Inf. Sci.
Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet
2018 J jnl
REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel.
CoRR
Pinghui Wang, Peng Jia, Yiyan Qi, Yu Sun, Jing Tao, Xiaohong Guan
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
2018 J jnl
Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time.
CoRR
Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley
2017 J jnl
AL-bitmap: Monitoring network traffic activity graphs on high speed links.
Inf. Sci.
Jing Tao, Pinghui Wang, Xiaohong Guan, Wenjun Hu
2017 J jnl
Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage.
Proc. VLDB Endow.
Pinghui Wang, Yiyan Qi, Yu Sun, Xiangliang Zhang, Jing Tao, Xiaohong Guan
2017 J jnl
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps.
CoRR
Fabricio Murai, Bruno F. Ribeiro, Don Towsley, Pinghui Wang
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 — conf
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories.
WWW (Companion Volume)
Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet
2017 J jnl
Mining repeating pattern in packet arrivals: Metrics, models, and applications.
Inf. Sci.
Jianfeng Li, Xiaobo Ma, Junjie Zhang, Jing Tao, Pinghui Wang, Xiaohong Guan
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 J jnl
A General Framework for Estimating Graphlet Statistics via Random Walk.
CoRR
Xiaowei Chen, Yongkun Li, Pinghui Wang, John C. S. Lui
2016 J jnl
A General Framework for Estimating Graphlet Statistics via Random Walk.
Proc. VLDB Endow.
Xiaowei Chen, Yongkun Li, Pinghui Wang, John C. S. Lui
2016 J jnl
Efficiently Estimating Statistics of Points of Interests on Maps.
IEEE Trans. Knowl. Data Eng.
Pinghui Wang, Wenbo He, Xue Liu
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
Minfer: Inferring Motif Statistics From Sampled Edges.
CoRR
Pinghui Wang, John C. S. Lui, Don Towsley
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
A new connection degree calculation and measurement method for large scale network monitoring.
J. Netw. Comput. Appl.
Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, Min Zhu
2014 A* conf
An efficient sampling method for characterizing points of interests on maps.
ICDE
Pinghui Wang, Wenbo He, Xue Liu
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 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
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 Set Size Distribution Estimation and the Characterization of Large Networks via Sampling.
IEEE J. Sel. Areas Commun.
Fabricio Murai, Bruno F. Ribeiro, Don Towsley, Pinghui Wang
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
2012 J jnl
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling
CoRR
Fabricio Murai, Bruno F. Ribeiro, Don Towsley, Pinghui Wang
2012 A* conf
Sampling directed graphs with random walks.
INFOCOM
Bruno F. Ribeiro, Pinghui Wang, Fabricio Murai, Don Towsley
2012 J jnl
Virtual indexing based methods for estimating node connection degrees.
Comput. Networks
Pinghui Wang, Xiaohong Guan, Don Towsley, Jing Tao
2011 J jnl
A Data Streaming Method for Monitoring Host Connection Degrees of High-Speed Links.
IEEE Trans. Inf. Forensics Secur.
Pinghui Wang, Xiaohong Guan, Tao Qin, Qiuzhen Huang
2011 A* conf
A new virtual indexing method for measuring host connection degrees.
INFOCOM
Pinghui Wang, Xiaohong Guan, Weibo Gong, Donald F. Towsley
2011 J jnl
Monitoring abnormal network traffic based on blind source separation approach.
J. Netw. Comput. Appl.
Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, Qiuzhen Huang
2010 J jnl
Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring.
IEEE Trans. Inf. Forensics Secur.
Xiaohong Guan, Tao Qin, Wei Li, Pinghui Wang
2009 B conf
A New Data Streaming Method for Locating Hosts with Large Connection Degree.
GLOBECOM
Xiaohong Guan, Pinghui Wang, Tao Qin
2009 — conf
Monitoring Abnormal Traffic Flows Based on Independent Component Analysis.
ICC
Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang
2009 — conf
P2P Traffic Identification Based on the Signatures of Key Packets.
CAMAD
Pinghui Wang, Xiaohong Guan, Tao Qin