P2P Traffic Identification Based on the Signatures of Key Packets. - Pinghui Wang; Xiaohong Guan; Tao Qin 002 (CAMAD, 2009)

A New Data Streaming Method for Locating Hosts with Large Connection Degree. - Xiaohong Guan; Pinghui Wang; Tao Qin 002 (GLOBECOM, 2009)

Monitoring Abnormal Traffic Flows Based on Independent Component Analysis. - Tao Qin 002; Xiaohong Guan; Wei Li 029; Pinghui Wang (ICC, 2009)

Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring. - Xiaohong Guan; Tao Qin 002; Wei Li 029; Pinghui Wang (IEEE Trans. Inf. Forensics Secur., 2010)

A new virtual indexing method for measuring host connection degrees. - Pinghui Wang; Xiaohong Guan; Weibo Gong; Donald F. Towsley (INFOCOM, 2011)

Monitoring abnormal network traffic based on blind source separation approach. - Tao Qin 002; Xiaohong Guan; Wei Li 029; Pinghui Wang; Qiuzhen Huang (J. Netw. Comput. Appl., 2011)

A Data Streaming Method for Monitoring Host Connection Degrees of High-Speed Links. - Pinghui Wang; Xiaohong Guan; Tao Qin 002; Qiuzhen Huang (IEEE Trans. Inf. Forensics Secur., 2011)

Sampling directed graphs with random walks. - Bruno F. Ribeiro; Pinghui Wang; Fabricio Murai; Don Towsley (INFOCOM, 2012)

Virtual indexing based methods for estimating node connection degrees. - Pinghui Wang; Xiaohong Guan; Don Towsley; Jing Tao (Comput. Networks, 2012)

Sampling node pairs over large graphs. - Pinghui Wang; Junzhou Zhao; John C. S. Lui; Don Towsley; Xiaohong Guan (ICDE, 2013)

Efficiently Estimating Subgraph Statistics of Large Networks in the Dark. - Pinghui Wang; John C. S. Lui; Junzhou Zhao; Bruno F. Ribeiro; Don Towsley; Xiaohong Guan (CoRR, 2013)

Sampling Content Distributed Over Graphs. - Pinghui Wang; Junzhou Zhao; John C. S. Lui; Don Towsley; Xiaohong Guan (CoRR, 2013)

A Peep on the Interplays between Online Video Websites and Online Social Networks - Junzhou Zhao; Pinghui Wang; Jing Tao; Xiaobo Ma; Xiaohong Guan (CoRR, 2013)

Social Sensor Placement in Large Scale Networks: A Graph Sampling Perspective - Junzhou Zhao; John C. S. Lui; Don Towsley; Xiaohong Guan; Pinghui Wang (CoRR, 2013)

On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling. - Fabricio Murai; Bruno F. Ribeiro; Don Towsley; Pinghui Wang (IEEE J. Sel. Areas Commun., 2013)

An efficient sampling method for characterizing points of interests on maps. - Pinghui Wang; Wenbo He; Xue Liu 001 (ICDE, 2014)

Design of Efficient Sampling Methods on Hybrid Social-Affiliation Networks. - Junzhou Zhao; John C. S. Lui; Don Towsley; Pinghui Wang; Xiaohong Guan (CoRR, 2014)

A Tale of Three Social Networks: User Activity Comparisons across Facebook, Twitter, and Foursquare. - Pinghui Wang; Wenbo He; Junzhou Zhao (IEEE Internet Comput., 2014)

A new connection degree calculation and measurement method for large scale network monitoring. - Tao Qin 002; Xiaohong Guan; Wei Li 029; Pinghui Wang; Min Zhu (J. Netw. Comput. Appl., 2014)

A New Sketch Method for Measuring Host Connection Degree Distribution. - Pinghui Wang; Xiaohong Guan; Junzhou Zhao; Jing Tao; Tao Qin 002 (IEEE Trans. Inf. Forensics Secur., 2014)

Efficiently Estimating Motif Statistics of Large Networks. - Pinghui Wang; John C. S. Lui; Bruno F. Ribeiro; Don Towsley; Junzhou Zhao; Xiaohong Guan (ACM Trans. Knowl. Discov. Data, 2014)

Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams. - Junzhou Zhao; John C. S. Lui; Don Towsley; Pinghui Wang; Xiaohong Guan (COSN, 2015)

A tale of three graphs: Sampling design on hybrid social-affiliation networks. - Junzhou Zhao; John C. S. Lui; Don Towsley; Pinghui Wang; Xiaohong Guan (ICDE, 2015)

Minfer: Inferring Motif Statistics From Sampled Edges. - Pinghui Wang; John C. S. Lui; Don Towsley (CoRR, 2015)

Moss: A Scalable Tool for Efficiently Sampling and Counting 4- and 5-Node Graphlets. - Pinghui Wang; Jing Tao; Junzhou Zhao; Xiaohong Guan (CoRR, 2015)

Unbiased Characterization of Node Pairs over Large Graphs. - Pinghui Wang; Junzhou Zhao; John C. S. Lui; Don Towsley; Xiaohong Guan (ACM Trans. Knowl. Discov. Data, 2015)

Minfer: A method of inferring motif statistics from sampled edges. - Pinghui Wang; John C. S. Lui; Donald F. Towsley; Junzhou Zhao (ICDE, 2016)

A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs. - Pinghui Wang; Xiangliang Zhang 001; Zhenguo Li; Jiefeng Cheng; John C. S. Lui; Don Towsley; Junzhou Zhao; Jing Tao; Xiaohong Guan (CoRR, 2016)

A General Framework for Estimating Graphlet Statistics via Random Walk. - Xiaowei Chen 002; Yongkun Li 001; Pinghui Wang; John C. S. Lui (Proc. VLDB Endow., 2016)

Efficiently Estimating Statistics of Points of Interests on Maps. - Pinghui Wang; Wenbo He; Xue Liu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories. - Pinghui Wang; Feiyang Sun 001; Di Wang; Jing Tao; Xiaohong Guan; Albert Bifet (WWW (Companion Volume), 2017)

Towards Efficient Node Discoverability Optimization on Large Networks. - Junzhou Zhao; John C. S. Lui; Pinghui Wang; Xiaohong Guan (CoRR, 2017)

Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Multigraph Streams. - Junzhou Zhao; Pinghui Wang; John C. S. Lui; Don Towsley; Xiaohong Guan (CoRR, 2017)

Mining repeating pattern in packet arrivals: Metrics, models, and applications. - Jianfeng Li 006; Xiaobo Ma; Junjie Zhang 004; Jing Tao; Pinghui Wang; Xiaohong Guan (Inf. Sci., 2017)

AL-bitmap: Monitoring network traffic activity graphs on high speed links. - Jing Tao; Pinghui Wang; Xiaohong Guan; Wenjun Hu (Inf. Sci., 2017)

I/O-efficient calculation of H-group closeness centrality over disk-resident graphs. - Junzhou Zhao; Pinghui Wang; John C. S. Lui; Don Towsley; Xiaohong Guan (Inf. Sci., 2017)

Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage. - Pinghui Wang; Yiyan Qi; Yu Sun; Xiangliang Zhang 001; Jing Tao; Xiaohong Guan (Proc. VLDB Endow., 2017)

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). - Pinghui Wang; Junzhou Zhao; Xiangliang Zhang 001; Zhenguo Li; Jiefeng Cheng; John C. S. Lui; Don Towsley; Xiaohong Guan (ICDE, 2018)

Mining Long-Term Stealthy User Behaviors on High Speed Links. - Pinghui Wang; Peng Jia 004; Jing Tao; Xiaohong Guan (INFOCOM, 2018)

Predicting attributes and friends of mobile users from AP-Trajectories. - Pinghui Wang; Feiyang Sun 001; Di Wang; Jing Tao; Xiaohong Guan; Albert Bifet (Inf. Sci., 2018)

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. - Pinghui Wang; Junzhou Zhao; Xiangliang Zhang 001; Zhenguo Li; Jiefeng Cheng; John C. S. Lui; Don Towsley; Jing Tao; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2018)

Submodular Optimization over Streams with Inhomogeneous Decays. - Junzhou Zhao; Shuo Shang; Pinghui Wang; John C. S. Lui; Xiangliang Zhang 001 (AAAI, 2019)

A Large-Scale Empirical Study of Internet Users' Privacy Leakage in China. - Yuanming Zhang; Shuo Zhang; Yuchao Zhang; Jing Tao; Pinghui Wang (DASC/PiCom/DataCom/CyberSciTech, 2019)

A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams. - Peng Jia 004; Pinghui Wang; Jing Tao; Xiaohong Guan (ICDE, 2019)

REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel. - Pinghui Wang; Peng Jia 004; Yiyan Qi; Yu Sun; Jing Tao; Xiaohong Guan (ICDE, 2019)

Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities Over Time. - Pinghui Wang; Peng Jia 004; Xiangliang Zhang 001; Jing Tao; Xiaohong Guan; Don Towsley (ICDE, 2019)

Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. - Junzhou Zhao; Shuo Shang; Pinghui Wang; John C. S. Lui; Xiangliang Zhang 001 (ICDE, 2019)

Meta Reinforcement Learning with Task Embedding and Shared Policy. - Lin Lan; Zhenguo Li; Xiaohong Guan; Pinghui Wang (IJCAI, 2019)

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. - Nuo Xu; Pinghui Wang; Long Chen; Jing Tao; Junzhou Zhao (IJCAI, 2019)

A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets. - Pinghui Wang; Yiyan Qi; Yuanming Zhang; Qiaozhu Zhai; Chenxu Wang 001; John C. S. Lui; Xiaohong Guan (KDD, 2019)

Sampling online social networks by random walk with indirect jumps. - Junzhou Zhao; Pinghui Wang; John C. S. Lui; Don Towsley; Xiaohong Guan (Data Min. Knowl. Discov., 2019)

Effectively Linking Persons on Cameras and Mobile Devices on Networks. - Juxiang Zeng; Pinghui Wang; Qiqi Zhao; Jianye Pang; Jing Tao; Xiaohong Guan (IEEE Internet Comput., 2019)

Optimizing node discovery on networks: Problem definitions, fast algorithms, and observations. - Junzhou Zhao; Pinghui Wang; John C. S. Lui (Inf. Sci., 2019)

Fast crawling methods of exploring content distributed over large graphs. - Pinghui Wang; Junzhou Zhao; John C. S. Lui; Don Towsley; Xiaohong Guan (Knowl. Inf. Syst., 2019)

Practical characterization of large networks using neighborhood information. - Pinghui Wang; Junzhou Zhao; Bruno Ribeiro 001; John C. S. Lui; Don Towsley; Xiaohong Guan (Knowl. Inf. Syst., 2019)

SNOD: a fast sampling method of exploring node orbit degrees for large graphs. - Pinghui Wang; Junzhou Zhao; Xiangliang Zhang 001; Jing Tao; Xiaohong Guan (Knowl. Inf. Syst., 2019)

Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps. - Fabricio Murai; Bruno Ribeiro 001; Don Towsley; Pinghui Wang (ACM Trans. Knowl. Discov. Data, 2019)

Detecting a Variety of Long-Term Stealthy User Behaviors on High Speed Links. - Pinghui Wang; Peng Jia 004; Jing Tao; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2019)

Inferring Higher-Order Structure Statistics of Large Networks from Sampled Edges. - Pinghui Wang; Yiyan Qi; John C. S. Lui; Don Towsley; Junzhou Zhao; Jing Tao (IEEE Trans. Knowl. Data Eng., 2019)

Continuously Distinct Sampling over Centralized and Distributed High Speed Data Streams. - Pinghui Wang; Xiangyu Wang; Jing Tao; Peng Zhang 011; Xiaohong Guan (IEEE Trans. Parallel Distributed Syst., 2019)

Distinguish Confusing Law Articles for Legal Judgment Prediction. - Nuo Xu; Pinghui Wang; Long Chen; Li Pan 002; Xiaoyan Wang; Junzhou Zhao (ACL, 2020)

Continuously Tracking Core Items in Data Streams with Probabilistic Decays. - Junzhou Zhao; Pinghui Wang; Jing Tao; Shuo Zhang; John C. S. Lui (ICDE, 2020)

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. - Lin Lan; Pinghui Wang; Xuefeng Du; Kaikai Song; Jing Tao; Xiaohong Guan (NeurIPS, 2020)

Fast Generating A Large Number of Gumbel-Max Variables. - Yiyan Qi; Pinghui Wang; Yuanming Zhang; Junzhou Zhao; Guangjian Tian; Xiaohong Guan (WWW, 2020)

Proactive microwave link anomaly detection in cellular data networks. - Lujia Pan; Jianfeng Zhang; Patrick P. C. Lee; Marcus Kalander; Junjian Ye; Pinghui Wang (Comput. Networks, 2020)

Improving network embedding with partially available vertex and edge content. - Lin Lan; Pinghui Wang; Junzhou Zhao; Jing Tao; John C. S. Lui; Xiaohong Guan (Inf. Sci., 2020)

Discriminative Streaming Network Embedding. - Yiyan Qi; Jiefeng Cheng; Xiaojun Chen 006; Reynold Cheng; Albert Bifet; Pinghui Wang (Knowl. Based Syst., 2020)

Addressing the train-test gap on traffic classification combined subflow model with ensemble learning. - Changyu Wang; Xiaohong Guan; Tao Qin 002; Pinghui Wang; Jing Tao; Yongwei Meng; Jingyuan Liu (Knowl. Based Syst., 2020)

Symmetry Degree Measurement and its Applications to Anomaly Detection. - Tao Qin 002; Zhaoli Liu; Pinghui Wang; Shancang Li; Xiaohong Guan; Lixin Gao 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Learning to Check Contract Inconsistencies. - Shuo Zhang; Junzhou Zhao; Pinghui Wang; Nuo Xu; Yang Yang; Yiting Liu; Yi Huang 017; Junlan Feng (AAAI, 2021)

LogLog Filter: Filtering Cold Items within a Large Range over High Speed Data Streams. - Peng Jia 004; Pinghui Wang; Junzhou Zhao; Ye Yuan 001; Jing Tao; Xiaohong Guan (ICDE, 2021)

Fast Rotation Kernel Density Estimation over Data Streams. - Runze Lei; Pinghui Wang; Rundong Li 002; Peng Jia 004; Junzhou Zhao; Xiaohong Guan; Chao Deng (KDD, 2021)

Temporal Biased Streaming Submodular Optimization. - Junzhou Zhao; Pinghui Wang; Chao Deng; Jing Tao (KDD, 2021)

Bidirectionally Densifying LSH Sketches with Empty Bins. - Peng Jia 004; Pinghui Wang; Junzhou Zhao; Shuo Zhang; Yiyan Qi; Min Hu; Chao Deng; Xiaohong Guan (SIGMOD Conference, 2021)

Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying. - Rundong Li 002; Pinghui Wang; Jiongli Zhu; Junzhou Zhao; Jia Di; Xiaofei Yang 003; Kai Ye 001 (SIGMOD Conference, 2021)

Automated Intelligent Healing in Cloud-Scale Data Centers. - Rui Li; Zhinan Cheng; Patrick P. C. Lee; Pinghui Wang; Yi Qiang; Lin Lan; Cheng He; Jinlong Lu; Mian Wang; Xinquan Ding (SRDS, 2021)

Tracking triadic cardinality distributions for burst detection in high-speed graph streams. - Junzhou Zhao; Pinghui Wang; Zhouguo Chen; Jianwei Ding; John C. S. Lui; Don Towsley; Xiaohong Guan (Knowl. Inf. Syst., 2021)

A machine learning based approach for user privacy preservation in social networks. - Yuanming Zhang; Jing Tao; Shuo Zhang; Yuchao Zhang; Pinghui Wang (Peer-to-Peer Netw. Appl., 2021)

Streaming Algorithms for Estimating High Set Similarities in LogLog Space. - Yiyan Qi; Pinghui Wang; Yuanming Zhang; Qiaozhu Zhai; Chenxu Wang 001; Guangjian Tian; John C. S. Lui; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2021)

Contrastive Representation based Active Learning for Time Series. - Lujia Pan; Marcus Kalander; Yuchao Zhang; Pinghui Wang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

FBPB-SE: A Forward and Backward Private Blockchain-based Searchable Encryption with Fuzzy Multi-keyword. - Chengjin Yang; Dongdong Xie 004; Linxi Cai; Pinghui Wang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs. - Juxiang Zeng; Pinghui Wang; Lin Lan; Junzhou Zhao; Feiyang Sun 001; Jing Tao; Junlan Feng; Min Hu; Xiaohong Guan (ICDE, 2022)

"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs. - Shuo Zhang; Junzhou Zhao; Pinghui Wang; Yu Li; Yi Huang 017; Junlan Feng (IJCAI, 2022)

AEP: Aligning knowledge graphs via embedding propagation. - Chenxu Wang 001; Yue Wan; Zhenhao Huang; Panpan Meng; Pinghui Wang (Neurocomputing, 2022)

LDAAD: An effective label de-noising approach for anomaly detection. - Lujia Pan; Marcus Kalander; Pinghui Wang (J. Intell. Fuzzy Syst., 2022)

MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback. - Chenxu Wang 001; Yu Yang; Kaiqiang Suo; Pinghui Wang (Knowl. Based Syst., 2022)

Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams. - Peng Jia 004; Pinghui Wang; Junzhou Zhao; Jing Tao; Ye Yuan 001; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2022)

Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time. - Peng Jia 004; Pinghui Wang; Yuchao Zhang; Xiangliang Zhang 001; Jing Tao; Jianwei Ding; Xiaohong Guan; Don Towsley (IEEE Trans. Knowl. Data Eng., 2022)

Approximately Counting Butterflies in Large Bipartite Graph Streams. - Rundong Li 002; Pinghui Wang; Peng Jia 004; Xiangliang Zhang 001; Junzhou Zhao; Jing Tao; Ye Yuan 001; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2022)

Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation. - Changyu Wang; Kevin Chen-Chuan Chang; Pinghui Wang; Tao Qin 002; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2022)

Towards Understanding the Instability of Network Embedding. - Chenxu Wang 001; Wei Rao 004; Wenna Guo; Pinghui Wang; Jun Liu 002; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2022)

Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns. - Feiyang Sun 001; Pinghui Wang; Junzhou Zhao; Nuo Xu; Juxiang Zeng; Jing Tao; Kaikai Song; Chao Deng; John C. S. Lui; Xiaohong Guan (IEEE Trans. Mob. Comput., 2022)

SegFormer: A Topic Segmentation Model with Controllable Range of Attention. - Haitao Bai; Pinghui Wang; Ruofei Zhang; Zhou Su (AAAI, 2023)

Multi-Action Dialog Policy Learning from Logged User Feedback. - Shuo Zhang; Junzhou Zhao; Pinghui Wang; Tianxiang Wang; Zi Liang; Jing Tao; Yi Huang 017; Junlan Feng (AAAI, 2023)

Towards Understanding the Instability of Network Embedding (Extended Abstract). - Chenxu Wang 001; Wei Rao 004; Wenna Guo; Pinghui Wang; Jun Liu 002; Xiaohong Guan (ICDE, 2023)

Adaptive loose optimization for robust question answering. - Jie Ma 001; Pinghui Wang; Zewei Wang; Dechen Kong; Min Hu; Ting Han; Jun Liu 002 (CoRR, 2023)

Healing Unsafe Dialogue Responses with Weak Supervision Signals. - Zi Liang; Pinghui Wang; Ruofei Zhang; Shuo Zhang; Xiaofan Ye; Yi Huang; Junlan Feng (CoRR, 2023)

MERGE: Fast Private Text Generation. - Zi Liang; Pinghui Wang; Ruofei Zhang; Nuo Xu; Shuo Zhang (CoRR, 2023)

FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs. - Chenxu Wang 001; Zhenhao Huang; Yue Wan; Junyu Wei; Junzhou Zhao; Pinghui Wang (Inf. Fusion, 2023)

Robust and Transferable Log-based Anomaly Detection. - Peng Jia 004; Shaofeng Cai; Beng Chin Ooi; Pinghui Wang; Yiyuan Xiong (Proc. ACM Manag. Data, 2023)

An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation. - Pinghui Wang; Chengjin Yang; Dongdong Xie 004; Junzhou Zhao; Hui Li 005; Jing Tao; Xiaohong Guan (Proc. ACM Manag. Data, 2023)

Federated Learning Over Coupled Graphs. - Runze Lei; Pinghui Wang; Junzhou Zhao; Lin Lan; Jing Tao; Chao Deng; Junlan Feng; Xidian Wang; Xiaohong Guan (IEEE Trans. Parallel Distributed Syst., 2023)

Optimizing recommendations under abandonment risks: Models and algorithms. - Xuchuang Wang; Hong Xie 004; Pinghui Wang; John C. S. Lui (Perform. Evaluation, 2023)

Fast Gumbel-Max Sketch and its Applications. - Yuanming Zhang; Pinghui Wang; Yiyan Qi; Kuankuan Cheng; Junzhou Zhao; Guangjian Tian; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2023)

SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. - Changyu Wang; Pinghui Wang; Tao Qin 002; Chenxu Wang 001; Suhansanu Kumar; Xiaohong Guan; Jun Liu 002; Kevin Chen-Chuan Chang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Robust integrated planning for LEO satellite network design and service operations. - Zeyu Zhang; Chao Zhang; Qiao-Chu He; Pinghui Wang (Oper. Res. Lett., 2023)

A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue. - Yuntao Wang 004; Zhou Su; Qichao Xu; Ruidong Li 001; Tom H. Luan; Pinghui Wang (IEEE/ACM Trans. Netw., 2023)

MERGE: Fast Private Text Generation. - Zi Liang; Pinghui Wang; Ruofei Zhang; Nuo Xu; Shuo Zhang; Lifeng Xing; Haitao Bai; Ziyang Zhou 003 (AAAI, 2024)

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. - Hongbin Pei; Taile Chen; Chen A; Huiqi Deng; Jing Tao; Pinghui Wang; Xiaohong Guan (AAAI, 2024)

A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities. - Peng Jia 004; Pinghui Wang; Rundong Li 002; Junzhou Zhao; Junlan Feng; Xidian Wang; Xiaohong Guan (ICDE, 2024)

Representation Learning of Tangled Key-Value Sequence Data for Early Classification. - Tao Duan; Junzhou Zhao; Shuo Zhang; Jing Tao; Pinghui Wang (ICDE, 2024)

SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning. - Chenxu Wang 001; Xin Yang; Tianyi Li 005; Jiaxing Wei; Pinghui Wang; Hongzhen Xiang; Christian S. Jensen (ICDE, 2024)

A Revisit to Graph Neighborhood Cardinality Estimation. - Pinghui Wang; Yuanming Zhang; Kuankuan Cheng; Junzhou Zhao (ICDE, 2024)

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. - Hongbin Pei; Yu Li; Huiqi Deng; Jingxin Hai; Pinghui Wang; Jie Ma 001; Jing Tao; Yuheng Xiong; Xiaohong Guan (ICML, 2024)

QSketch: An Efficient Sketch for Weighted Cardinality Estimation in Streams. - Yiyan Qi; Rundong Li 002; Pinghui Wang; Yufang Sun 003; Rui Xing (KDD, 2024)

PAIR: Pre-denosing Augmented Image Retrieval Model for Defending Adversarial Patches. - Ziyang Zhou 003; Pinghui Wang; Zi Liang; Ruofei Zhang; Haitao Bai (ACM Multimedia, 2024)

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. - Jie Ma 001; Min Hu; Pinghui Wang; Wangchun Sun; Lingyun Song; Hongbin Pei; Jun Liu 002; Youtian Du (NeurIPS, 2024)

Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge Distillation. - Lin Lan; Pinghui Wang; Rui Shi; Tingqing Liu; Juxiang Zeng; Feiyang Sun 001; Yang Ren; Jing Tao; Xiaohong Guan (SIGIR, 2024)

Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. - Hongbin Pei; Yuheng Xiong; Pinghui Wang; Jing Tao; Jialun Liu; Huiqi Deng; Jie Ma 001; Xiaohong Guan (WWW, 2024)

SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning. - Chenxu Wang 001; Xichan Nie; Jinfeng Chen; Pinghui Wang; Junzhou Zhao; Xiaohong Guan (WWW, 2024)

An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities. - Pinghui Wang; Yitong Liu; Zhicheng Li; Rundong Li 002 (Proc. ACM Manag. Data, 2024)

Tracking Influencers in Decaying Social Activity Streams With Theoretical Guarantees. - Junzhou Zhao; Pinghui Wang; Wei Zhang; Zhaosong Zhang; Maoli Liu; Jing Tao; John C. S. Lui (IEEE/ACM Trans. Netw., 2024)

Diagram Perception Networks for Textbook Question Answering via Joint Optimization. - Jie Ma 001; Jun Liu 002; Qi Chai; Pinghui Wang; Jing Tao (Int. J. Comput. Vis., 2024)

GTCAlign: Global Topology Consistency-Based Graph Alignment. - Chenxu Wang 001; Peijing Jiang; Xiangliang Zhang 001; Pinghui Wang; Tao Qin 002; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2024)

Half-Xor: A Fully-Dynamic Sketch for Estimating the Number of Distinct Values in Big Tables. - Pinghui Wang; Dongdong Xie 004; Junzhou Zhao; Jinsong Li 004; Zhicheng Li; Rundong Li 002; Yang Ren; Jia Di (IEEE Trans. Knowl. Data Eng., 2024)

Robust Visual Question Answering: Datasets, Methods, and Future Challenges. - Jie Ma 001; Pinghui Wang; Dechen Kong; Zewei Wang; Jun Liu 002; Hongbin Pei; Junzhou Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Sketching Data Distribution by Rotation. - Runze Lei; Pinghui Wang; Rundong Li 002; Peng Jia 004; Junzhou Zhao; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2024)

XTQA: Span-Level Explanations for Textbook Question Answering. - Jie Ma 001; Qi Chai; Jun Liu 002; Qingyu Yin; Pinghui Wang; Qinghua Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. - Tu Ao; Yanhua Yu; Yuling Wang; Yang Deng 002; Zirui Guo; Liang Pang; Pinghui Wang; Tat-Seng Chua; Xiao Zhang; Zhen Cai (AAAI, 2025)

Exploring Intrinsic Alignments Within Text Corpus. - Zi Liang; Pinghui Wang; Ruofei Zhang; Haibo Hu 001; Shuo Zhang; Qingqing Ye 001; Nuo Xu; Yaxin Xiao; Chen Zhang; Lizhen Cui (AAAI, 2025)

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Wangchun Sun; Pinghui Wang; Hongbin Pei; Jing Tao; Lingyun Song; Jun Liu 002; Chen Zhang; Lizhen Cui (AAAI, 2025)

Cross-Modal 3D Representation with Multi-View Images and Point Clouds. - Ziyang Zhou 003; Pinghui Wang; Zi Liang; Haitao Bai; Ruofei Zhang (CVPR, 2025)

Fast Private Retrieval on Key-Value Store with Multiple Values per Key. - Fangming Dong; Pinghui Wang; Yuance Wang; Chen Zhang; Lizhen Cui (ICDE, 2025)

IsGCL: Informative Sample-Aware Progressive Graph Contrastive Learning. - Juxiang Zeng; Pinghui Wang; Linbo Ma; Jing Tao; Xiaohong Guan (ICDE, 2025)

BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-Scale Cloud Infrastructure Systems. - Tao Duan; Runqing Chen; Pinghui Wang; Junzhou Zhao; Jiongzhou Liu; Shujie Han 001; Yi Liu; Fan Xu (SEIP@ICSE, 2025)

FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection. - Xiaoguang Wang; Chenxu Wang 001; Huanlong Liu; Mengqin Wang; Tao Qin 002; Pinghui Wang (WWW (Companion Volume), 2025)

DAPEW: Towards robust collaborative filtering with graph contrastive learning. - Kuiyu Zhu; Tao Qin 002; Haoxing Liu; Chenxu Wang 001; Pinghui Wang (Knowl. Based Syst., 2025)

Poisoning Attacks and Defenses to Learned Bloom Filters for Malicious URL Detection. - Fangming Dong; Pinghui Wang; Rundong Li 002; Xueyao Cui; Junzhou Zhao; Jing Tao; Chen Zhang 010; Xiaohong Guan (IEEE Trans. Dependable Secur. Comput., 2025)

Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge. - Nuo Xu; Pinghui Wang; Junzhou Zhao; Feiyang Sun 001; Lin Lan; Jing Tao; Li Pan 002; Xiaohong Guan (ACM Trans. Inf. Syst., 2025)

FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Jun Liu 002; Pinghui Wang; Jing Tao; Zhou Su (CoRR, 2025)

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. - Jie Ma 001; Ning Qu; Zhitao Gao 003; Rui Xing; Jun Liu 002; Hongbin Pei; Jiang Xie 002; Linyun Song; Pinghui Wang; Jing Tao; Zhou Su (CoRR, 2025)

Efficient and Accurate Differentially Private Cardinality Continual Releases. - Dongdong Xie 004; Pinghui Wang; Quanqing Xu; Chuanhui Yang; Rundong Li 002 (Proc. ACM Manag. Data, 2025)

How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching. - Nuo Xu; Pinghui Wang; Zi Liang; Junzhou Zhao; Xiaohong Guan (ACM Trans. Inf. Syst., 2025)

Building Accurate and Interpretable Online Classifiers on Edge Devices. - Yuanming Zhang; Pinghui Wang; Kuankuan Cheng; Junzhou Zhao; Jing Tao; Jingxin Hai; Junlan Feng; Chao Deng; Xidian Wang (IEEE Trans. Parallel Distributed Syst., 2025)