Kaiqi Zhao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 54

Top Topics

Matrix Representation

Structured Knowledge

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang
SKGSum: Structured Knowledge-Guided Document Summarization. ACL (Findings) (2024)
Yufeng Zou, Kaiqi Zhao
Short-term POI recommendation with personalized time-weighted latent ranking. Discov. Comput. 27 (1) (2024)
Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen
TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification. ICDE (2024)
Zhi-Jie Wang, Mengdie Nie, Kaiqi Zhao, Zhe Quan, Bin Yao
Cover Trees Revisited: Exploiting Unused Distance and Direction Information. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Lanting Fang, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, Tao Li
Unsupervised Rumor Detection Based on Propagation Tree VAE. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jialong Liu, Yanni Tang, Jiamou Liu, Kaiqi Zhao, Wu Chen
LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs. QRS (2023)
Tong Xiao, Zhe Quan, Zhi-Jie Wang, Kaiqi Zhao, Xiangke Liao, Huang Huang, Yunfei Du, Kenli Li
LPV: A Log Parsing Framework Based on Vectorization. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang
Towards Legal Judgment Summarization: A Structure-Enhanced Approach. ECAI (2023)
Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang
RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. WWW (2023)
Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. Proc. ACM Manag. Data 1 (2) (2023)
Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. AAAI (2023)
Xiaobin Ren, Kaiqi Zhao, Patricia J. Riddle, Katerina Taskova, Qingyi Pan, Lianyan Li
DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation. Proc. ACM Manag. Data 1 (2) (2023)
Zeyu Zhang, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao
SGA: A Graph Augmentation Method for Signed Graph Neural Networks. CoRR (2023)
Zhangyue He, Yanni Tang, Kaiqi Zhao, Jiamou Liu, Wu Chen
Graph-Based Log Anomaly Detection via Adversarial Training. SETTA (2023)
Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network. CoRR (2023)
Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang
Contrastive Learning for Signed Bipartite Graphs. SIGIR (2023)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) (2023)
Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang
CSG: Curriculum Representation Learning for Signed Graph. CoRR (2023)
Wei Chen, Wu Chen, Jiamou Liu, Kaiqi Zhao, Mingyue Zhang
SupConFL: Fault Localization with Supervised Contrastive Learning. Internetware (2023)
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Philipp Skavantzos, Uwe Leck, Kaiqi Zhao, Sebastian Link
Uniqueness Constraints for Object Stores. ACM J. Data Inf. Qual. 15 (2) (2023)
Song Yang, Jiamou Liu, Kaiqi Zhao
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. CoRR (2023)
Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. CoRR (2023)
Shanshan Feng, Kaiqi Zhao, Lanting Fang, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao
H-Diffu: Hyperbolic Representations for Information Diffusion Prediction. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Kaiqi Zhao, Gao Cong, Xiucheng Li
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Song Yang, Jiamou Liu, Kaiqi Zhao
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. SIGIR (2022)
Qiqi Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Ruofan Wang
D2GCLF: Document-to-Graph Classifier for Legal Document Classification. NAACL-HLT (Findings) (2022)
Wenjing Xiong, Wu Chen, Jiamou Liu, Kaiqi Zhao
An Anomaly Detection Framework for System Logs Based on Ensemble Learning. PRICAI (1) (2022)
Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao
Interconnected Neural Linear Contextual Bandits with UCB Exploration. PAKDD (1) (2022)
Philipp Skavantzos, Kaiqi Zhao, Sebastian Link
Uniqueness Constraints on Property Graphs. CAiSE (2021)
Song Yang, Jiamou Liu, Kaiqi Zhao
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. CoRR (2021)
Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. CoRR (2021)
Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Fan Li, Shuo Shang
Node2LV: Squared Lorentzian Representations for Node Proximity. ICDE (2021)
Song Yang, Jiamou Liu, Kaiqi Zhao
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. ICDM (2021)
Yu Gong, Ziwen Jiang, Kaiqi Zhao, Qingwen Liu, Wenwu Ou
EdgeRec: Recommender System on Edge in Mobile Taobao. CoRR (2020)
Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang
A Novel Model for Imbalanced Data Classification. AAAI (2020)
Tong Xiao, Zhe Quan, Zhi-Jie Wang, Kaiqi Zhao, Xiangke Liao
LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing. ICDM (2020)
Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE (2020)
Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. ECAI (2020)
Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou
EdgeRec: Recommender System on Edge in Mobile Taobao. CIKM (2020)
Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
Knowledge-Enhanced Ensemble Learning for Word Embeddings. WWW (2019)
Kaiqi Zhao, Gao Cong, Jin Yao Chin, Rong Wen
Exploring market competition over topics in spatio-temporal document collections. VLDB J. 28 (1) (2019)
Yiding Liu, Kaiqi Zhao, Gao Cong
Efficient Similar Region Search with Deep Metric Learning. KDD (2018)
Jin Yao Chin, Kaiqi Zhao, Shafiq R. Joty, Gao Cong
ANR: Aspect-based Neural Recommender. CIKM (2018)
Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei
Deep Representation Learning for Trajectory Similarity Computation. ICDE (2018)
Yu Gong, Kaiqi Zhao, Kenny Q. Zhu
Representing Verbs as Argument Concepts. CoRR (2018)
Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy
Biclustering: An application of Dual Topic Models. SDM (2017)
Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong
Towards Personalized Maps: Mining User Preferences from Geo-textual Data. Proc. VLDB Endow. 9 (13) (2016)
Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong
A System for Region Search and Exploration. Proc. VLDB Endow. 9 (13) (2016)
Yu Gong, Kaiqi Zhao, Kenny Qili Zhu
Representing Verbs as Argument Concepts. AAAI (2016)
Kaiqi Zhao, Lisi Chen, Gao Cong
Topic Exploration in Spatio-Temporal Document Collections. SIGMOD Conference (2016)
Kaiqi Zhao, Gao Cong, Aixin Sun
Annotating Points of Interest with Geo-tagged Tweets. CIKM (2016)
Gao Cong, Kaiyu Feng, Kaiqi Zhao
Querying and mining geo-textual data for exploration: Challenges and opportunities. ICDE Workshops (2016)
Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Q. Zhu
SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews. ICDE (2015)
Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun
Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users. ACM Trans. Inf. Syst. 33 (1) (2015)
Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu
Clustering Image Search Results by Entity Disambiguation. ECML/PKDD (3) (2014)
Zhiyuan Cai, Kaiqi Zhao, Kenny Q. Zhu, Haixun Wang
Wikification via link co-occurrence. CIKM (2013)
Kaiqi Zhao, Enxun Wei, Qingyu Sui, Kenny Q. Zhu, Eric Lo
CISC: clustered image search by conceptualization. EDBT (2013)