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ORCIDKaiqi Zhao 0001
Person information
- affiliation: University of Auckland, New Zealand
Other persons with the same name
- Kaiqi Zhao 0002
![[0009-0003-9432-673X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0003-9432-673X")
— Arizona State University, AZ, USA - Kaiqi Zhao 0003 (aka: Kai-qi Zhao 0003) — Harbin Engineering University, College of Automation, China
- Kaiqi Zhao 0004 — Macau University of Science and Technology, School of Computer Science and Engineering, Macao
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2020 – today
- 2024
[j15]Yufeng Zou, Kaiqi Zhao:
Short-term POI recommendation with personalized time-weighted latent ranking. Discov. Comput. 27(1): 16 (2024)- [c38]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: 1857-1871 - [c37]Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li:
Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series. CIKM 2024: 1973-1982 - [c36]Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen:
TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification. ICDE 2024: 2848-2861 - [c35]Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu:
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. IJCAI 2024: 2588-2597 - [i10]Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong:
Self-supervised Learning for Geospatial AI: A Survey. CoRR abs/2408.12133 (2024) - 2023
- [j14]Philipp Skavantzos, Uwe Leck, Kaiqi Zhao, Sebastian Link:
Uniqueness Constraints for Object Stores. ACM J. Data Inf. Qual. 15(2): 13:1-13:29 (2023) - [j13]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): 187:1-187:27 (2023) - [j12]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): 188:1-188:25 (2023) - [j11]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): 5534-5549 (2023) - [j10]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): 8784-8798 (2023) - [j9]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): 9140-9153 (2023) - [j8]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): 10309-10323 (2023) - [j7]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): 11231-11245 (2023) - [j6]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): 2711-2725 (2023) - [c34]Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu:
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. AAAI 2023: 10235-10243 - [c33]Martin Ooi, David Arturo Soriano Valdez, Mitchell Rogers, Rachel Ababou, Kaiqi Zhao, Patrice Delmas:
Construction of a Novel Data Set for Pedestrian Tree Species Detection Using Google Street View Data. ACIVS 2023: 332-344 - [c32]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: 2491-2498 - [c31]Wei Chen, Wu Chen, Jiamou Liu, Kaiqi Zhao, Mingyue Zhang:
SupConFL: Fault Localization with Supervised Contrastive Learning. Internetware 2023: 44-54 - [c30]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: 3-14 - [c29]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: 36-47 - [c28]Zhangyue He, Yanni Tang, Kaiqi Zhao, Jiamou Liu, Wu Chen:
Graph-Based Log Anomaly Detection via Adversarial Training. SETTA 2023: 55-71 - [c27]Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang:
Contrastive Learning for Signed Bipartite Graphs. SIGIR 2023: 1629-1638 - [c26]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: 60-70 - [i9]Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu:
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network. CoRR abs/2302.05889 (2023) - [i8]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 abs/2302.14287 (2023) - [i7]Song Yang, Jiamou Liu, Kaiqi Zhao:
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. CoRR abs/2303.04741 (2023) - [i6]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 abs/2310.09705 (2023) - [i5]Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang:
CSG: Curriculum Representation Learning for Signed Graph. CoRR abs/2310.11083 (2023) - 2022
- [j5]Kaiqi Zhao, Gao Cong, Xiucheng Li:
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Trans. Knowl. Data Eng. 34(2): 881-893 (2022) - [c25]Qiqi Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Ruofan Wang:
D2GCLF: Document-to-Graph Classifier for Legal Document Classification. NAACL-HLT (Findings) 2022: 2208-2221 - [c24]Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao:
Interconnected Neural Linear Contextual Bandits with UCB Exploration. PAKDD (1) 2022: 169-181 - [c23]Wenjing Xiong, Wu Chen, Jiamou Liu, Kaiqi Zhao:
An Anomaly Detection Framework for System Logs Based on Ensemble Learning. PRICAI (1) 2022: 52-65 - [c22]Song Yang, Jiamou Liu, Kaiqi Zhao:
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. SIGIR 2022: 1144-1153 - 2021
- [c21]Philipp Skavantzos, Kaiqi Zhao, Sebastian Link:
Uniqueness Constraints on Property Graphs. CAiSE 2021: 280-295 - [c20]Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Fan Li, Shuo Shang:
Node2LV: Squared Lorentzian Representations for Node Proximity. ICDE 2021: 2015-2020 - [c19]Song Yang, Jiamou Liu, Kaiqi Zhao:
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. ICDM 2021: 817-826 - [i4]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 abs/2105.00495 (2021) - [i3]Song Yang, Jiamou Liu, Kaiqi Zhao:
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. CoRR abs/2109.05225 (2021) - 2020
- [c18]Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang:
A Novel Model for Imbalanced Data Classification. AAAI 2020: 6680-6687 - [c17]Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou:
EdgeRec: Recommender System on Edge in Mobile Taobao. CIKM 2020: 2477-2484 - [c16]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: 1301-1308 - [c15]Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao:
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE 2020: 949-960 - [c14]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: 1346-1351 - [i2]Yu Gong, Ziwen Jiang, Kaiqi Zhao, Qingwen Liu, Wenwu Ou:
EdgeRec: Recommender System on Edge in Mobile Taobao. CoRR abs/2005.08416 (2020)
2010 – 2019
- 2019
- [j4]Kaiqi Zhao, Gao Cong, Jin Yao Chin, Rong Wen:
Exploring market competition over topics in spatio-temporal document collections. VLDB J. 28(1): 123-145 (2019) - [c13]Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu:
Knowledge-Enhanced Ensemble Learning for Word Embeddings. WWW 2019: 427-437 - 2018
- [b1]Kaiqi Zhao:
Effective and efficient topic mining and exploration from geo-textual data. Nanyang Technological University, Singapore, 2018 - [c12]Jin Yao Chin, Kaiqi Zhao, Shafiq R. Joty, Gao Cong:
ANR: Aspect-based Neural Recommender. CIKM 2018: 147-156 - [c11]Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei:
Deep Representation Learning for Trajectory Similarity Computation. ICDE 2018: 617-628 - [c10]Yiding Liu, Kaiqi Zhao, Gao Cong:
Efficient Similar Region Search with Deep Metric Learning. KDD 2018: 1850-1859 - [r1]Kaiqi Zhao, Quan Yuan, Gao Cong:
Spatiotemporal Topic Detection from Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i1]Yu Gong, Kaiqi Zhao, Kenny Q. Zhu:
Representing Verbs as Argument Concepts. CoRR abs/1803.00729 (2018) - 2017
- [c9]Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy:
Biclustering: An application of Dual Topic Models. SDM 2017: 453-461 - 2016
- [j3]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): 1545-1548 (2016) - [j2]Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong:
A System for Region Search and Exploration. Proc. VLDB Endow. 9(13): 1549-1552 (2016) - [c8]Yu Gong, Kaiqi Zhao, Kenny Qili Zhu:
Representing Verbs as Argument Concepts. AAAI 2016: 2615-2621 - [c7]Kaiqi Zhao, Gao Cong, Aixin Sun:
Annotating Points of Interest with Geo-tagged Tweets. CIKM 2016: 417-426 - [c6]Gao Cong, Kaiyu Feng, Kaiqi Zhao:
Querying and mining geo-textual data for exploration: Challenges and opportunities. ICDE Workshops 2016: 165-168 - [c5]Kaiqi Zhao, Lisi Chen, Gao Cong:
Topic Exploration in Spatio-Temporal Document Collections. SIGMOD Conference 2016: 985-998 - 2015
- [j1]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): 2:1-2:33 (2015) - [c4]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: 675-686 - 2014
- [c3]Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu:
Clustering Image Search Results by Entity Disambiguation. ECML/PKDD (3) 2014: 369-384 - 2013
- [c2]Zhiyuan Cai, Kaiqi Zhao, Kenny Q. Zhu, Haixun Wang:
Wikification via link co-occurrence. CIKM 2013: 1087-1096 - [c1]Kaiqi Zhao, Enxun Wei, Qingyu Sui, Kenny Q. Zhu, Eric Lo:
CISC: clustered image search by conceptualization. EDBT 2013: 749-752
Coauthor Index
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