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ORCIDGoce Trajcevski
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- affiliation: Iowa State University, Ames, IA, USA
- affiliation (former): Northwestern University, Illinois, USA
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2020 – today
- 2024
[j66]Md Hasan Anowar
, Abdullah Shamail, Xiaoyu Wang, Goce Trajcevski, Sohail Murad, Cynthia J. Jameson, Ashfaq Khokhar:
Compressing generalized trajectories of molecular motion for efficient detection of chemical interactions. Inf. Syst. 125: 102426 (2024)- [j65]Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng:
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction. IEEE Trans. Cybern. 54(1): 572-585 (2024) - [j64]Qiang Gao, Hongzhu Fu, Kunpeng Zhang, Goce Trajcevski, Xu Teng, Fan Zhou:
Inferring Real Mobility in Presence of Fake Check-ins Data. ACM Trans. Intell. Syst. Technol. 15(1): 12:1-12:25 (2024) - [j63]Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski:
Predicting Human Mobility via Self-Supervised Disentanglement Learning. IEEE Trans. Knowl. Data Eng. 36(5): 2126-2141 (2024) - [j62]Andi Zang, Runsheng Xu, Goce Trajcevski, Fan Zhou:
Data Issues in High-Definition Maps Furniture - A Survey. ACM Trans. Spatial Algorithms Syst. 10(1): 5:1-5:37 (2024) - [j61]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10(2): 10 (2024) - [c157]Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski:
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). AAAI 2024: 23651-23652 - [c156]Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou:
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. KDD 2024: 445-455 - [c155]Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou:
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection. KDD 2024: 3518-3526 - [i12]Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou:
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection. CoRR abs/2407.02143 (2024) - [i11]Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou:
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection. CoRR abs/2407.13251 (2024) - 2023
- [j60]Xu Teng, Goce Trajcevski, Andreas Züfle:
Searching semantically diverse paths. Distributed Parallel Databases 41(4): 603-638 (2023) - [j59]Xovee Xu, Zhiyuan Wang, Fan Zhou, Ying Huang, Ting Zhong, Goce Trajcevski:
Dynamic transformer ODEs for large-scale reservoir inflow forecasting. Knowl. Based Syst. 276: 110737 (2023) - [j58]Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski:
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. IEEE Trans. Big Data 9(6): 1711-1725 (2023) - [j57]Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski:
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction. IEEE Trans. Knowl. Data Eng. 35(4): 3484-3499 (2023) - [j56]Mengxuan Zhang, Lei Li, Goce Trajcevski, Andreas Züfle, Xiaofang Zhou:
Parallel Hub Labeling Maintenance With High Efficiency in Dynamic Small-World Networks. IEEE Trans. Knowl. Data Eng. 35(11): 11751-11768 (2023) - [j55]Qiang Gao, Fan Zhou, Kunpeng Zhang, Fengli Zhang, Goce Trajcevski:
Adversarial Human Trajectory Learning for Trip Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1764-1776 (2023) - [j54]Fan Zhou, Xiuxiu Qi, Kunpeng Zhang, Goce Trajcevski, Ting Zhong:
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8950-8964 (2023) - [j53]Xu Teng, Goce Trajcevski, Andreas Züfle:
Distance, Origin and Category Constrained Paths. ACM Trans. Spatial Algorithms Syst. 9(3): 18:1-18:27 (2023) - [j52]Ouri Wolfson, Prabin Giri, Sushil Jajodia, Goce Trajcevski:
Geographic-Region Monitoring by Drones in Adversarial Environments. ACM Trans. Spatial Algorithms Syst. 9(3): 22:1-22:36 (2023) - [j51]Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao, Jin Wu, Goce Trajcevski:
Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4522-4535 (2023) - [c154]Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong:
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. AAAI 2023: 13627-13635 - [c153]Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski:
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). AAAI 2023: 16192-16193 - [c152]Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). AAAI 2023: 16358-16359 - [c151]Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou:
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. CIKM 2023: 1288-1297 - [c150]Christophe Claramunt, Christine Bassem, Demetrios Zeinalipour-Yazti, Baihua Zheng, Goce Trajcevski, Kristian Torp:
Spatial Data Management for Green Mobility. SIGSPATIAL/GIS 2023: 76:1-76:4 - [c149]Xovee Xu, Yutao Wei, Pengyu Wang, Xucheng Luo, Fan Zhou, Goce Trajcevski:
Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint. ICASSP 2023: 1-5 - [c148]Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou:
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning. IJCAI 2023: 2095-2103 - [c147]Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen:
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. KDD 2023: 4862-4871 - [c146]Ce Li, Will Postler, Ian Johnson, Paul Brinkmann, Evan Gossling, Bailey Gorlewski, Goce Trajcevski:
Geo-Awareness of Learnt Citations Prediction for Scientific Publications (Demo Paper). LocalRec@SIGSPATIAL 2023: 29-32 - [c145]Prabin Giri, Marcus Jakubowsky, Jaden Forde, Joseph Edeker, Rowan Collin, Jacob Houts, Thomas Glass, Goce Trajcevski, Ouri Wolfson:
A System for Collaborative Surveillance of Geographic Areas by Fleet of Drones. MDM 2023: 172-175 - [c144]Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong:
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. NeurIPS 2023 - [c143]Thomas Frohwein, Zachary Garwood, Dylan Hampton, Kevin Knack, Nate Schenck, Britney Yu, Joe Zuber, Goce Trajcevski, Xu Teng, Andreas Züfle:
RouteDOC: Routing with Distance, Origin and Category Constraints (Demonstration Paper). SSTD 2023: 185-188 - [i10]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - [i9]Mengxuan Zhang, Xinjie Zhou, Lei Li, Ziyi Liu, Goce Trajcevski, Yan Huang, Xiaofang Zhou:
A Universal Scheme for Partitioned Dynamic Shortest Path Index. CoRR abs/2310.08213 (2023) - 2022
- [j50]Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang:
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances. ACM Comput. Surv. 54(2): 27:1-27:36 (2022) - [j49]Fan Zhou, Zhiyuan Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar:
HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. Int. J. Intell. Syst. 37(10): 6833-6856 (2022) - [j48]Fan Zhou, Tianliang Wang, Ting Zhong, Goce Trajcevski:
Identifying user geolocation with Hierarchical Graph Neural Networks and explainable fusion. Inf. Fusion 81: 1-13 (2022) - [j47]Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang, Tianrui Li:
Contextual spatio-temporal graph representation learning for reinforced human mobility mining. Inf. Sci. 606: 230-249 (2022) - [j46]Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou:
Heterogeneous dynamical academic network for learning scientific impact propagation. Knowl. Based Syst. 238: 107839 (2022) - [j45]Xueqin Chen, Fan Zhou, Goce Trajcevski, Marcello M. Bonsangue:
Multi-view learning with distinguishable feature fusion for rumor detection. Knowl. Based Syst. 240: 108085 (2022) - [j44]Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou:
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. Knowl. Based Syst. 255: 109740 (2022) - [j43]Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar:
Identifying IP Usage Scenarios: Problems, Data, and Benchmarks. IEEE Netw. 36(3): 152-158 (2022) - [j42]Fan Zhou, Xin Liu, Ting Zhong, Goce Trajcevski:
MetaMove: On Improving Human Mobility Classification and Prediction via Metalearning. IEEE Trans. Cybern. 52(8): 8128-8141 (2022) - [j41]Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski:
Contrastive Trajectory Learning for Tour Recommendation. ACM Trans. Intell. Syst. Technol. 13(1): 4:1-4:25 (2022) - [c142]Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Dynamic Manifold Learning for Land Deformation Forecasting. AAAI 2022: 4725-4733 - [c141]Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou:
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. AAAI 2022: 12200-12207 - [c140]Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
A Probabilistic Framework for Land Deformation Prediction (Student Abstract). AAAI 2022: 13001-13002 - [c139]Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou:
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). AAAI 2022: 13103-13104 - [c138]Ashraf Tahmasbi, Goce Trajcevski:
Maximum Range-Sum for Dynamically Occurring Objects with Decaying Weights. ADBIS 2022: 238-252 - [c137]Md Hasan Anowar, Abdullah Shamail, Xiaoyu Wang, Goce Trajcevski, Sohail Murad, Cynthia J. Jameson, Ashfaq Khokhar:
Generalization Aware Compression of Molecular Trajectories. ADBIS 2022: 270-284 - [c136]Noah Kelleher, Ricardo Ramirez, Adnan Salihovic, Nathan McKay, Jonathan Kelly, Hengwei Chen, Goce Trajcevski:
Wind awareness for energy consumption in drone simulations (demo paper). SIGSPATIAL/GIS 2022: 108:1-108:4 - [c135]Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou:
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. KDD 2022: 936-944 - [c134]Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen:
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks. KDD 2022: 4121-4131 - [c133]Andi Zang, Xiaofeng Zhu, Ce Li, Fan Zhou, Goce Trajcevski:
Integrating Heterogeneous Sources for Learned Prediction of Vehicular Data Consumption. MDM 2022: 54-63 - [c132]Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou:
Learning Latent Seasonal-Trend Representations for Time Series Forecasting. NeurIPS 2022 - [p4]Goce Trajcevski, Prabin Giri, Xu Teng, Hooman Hashemi:
TINET: Triangulated Irregular Networks Evolving in Time. Spatial Gems (1) (1) 2022: 131-138 - [i8]Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski:
Predicting Human Mobility via Self-supervised Disentanglement Learning. CoRR abs/2211.09625 (2022) - [i7]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j40]Fan Zhou, Ruiyang Yin, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ashfaq Khokhar:
Improving human mobility identification with trajectory augmentation. GeoInformatica 25(3): 453-483 (2021) - [j39]Fan Zhou, Ce Li, Zijing Wen, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar:
Uncertainty-aware network alignment. Int. J. Intell. Syst. 36(12): 7895-7924 (2021) - [j38]Fan Zhou, Xin Liu, Kunpeng Zhang, Goce Trajcevski:
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2401-2414 (2021) - [c131]Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang:
Land Deformation Prediction via Slope-Aware Graph Neural Networks. AAAI 2021: 15033-15040 - [c130]Xu Teng, Goce Trajcevski:
Semantically Diverse Constrained Queries. ADBIS (Short Papers) 2021: 297-302 - [c129]Xu Teng, Goce Trajcevski, Andreas Züfle:
Semantically Diverse Paths with Range and Origin Constraints. SIGSPATIAL/GIS 2021: 375-378 - [c128]Xu Teng, Thomas Beckler, Bradley Gannon, Benjamin Huinker, Gabriel Huinker, Koushhik Kumar, Christina Marquez, Jacob Spooner, Goce Trajcevski, Prabin Giri, Aaron Dotter, Jeff Andrews, Scott Coughlin, Ying Qin, Juan Gabriel Serra-Perez, Nam Tran, Jaime Roman-Garja, Konstantinos Kovlakas, Emmanouil Zapartas, Simone S. Bavera, Devina Misra, Tassos Fragos:
CSD-CMAD: Coupling Similarity and Diversity for Clustering Multivariate Astrophysics Data. SIGSPATIAL/GIS 2021: 399-402 - [c127]Ouri Wolfson, Prabin Giri, Sushil Jajodia, Goce Trajcevski:
Geographic-Region Monitoring by Drones in Adversarial Environments. SIGSPATIAL/GIS 2021: 480-483 - [c126]Ce Li, Fan Zhou, Xucheng Luo, Goce Trajcevski:
Kernel-Based Structural-Temporal Cascade Learning for Popularity Prediction. GLOBECOM 2021: 1-6 - [c125]Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu, Goce Trajcevski:
HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment. GLOBECOM 2021: 1-6 - [c124]Andi Zang, Xiaofeng Zhu, Yuxiang Guo, Fan Zhou, Goce Trajcevski:
Towards Predicting Vehicular Data Consumption. MDM 2021: 109-114 - [c123]Christian Baer, Erich Brandt, Elizabeth Strzelczyk, Colin Thurston, Collin Willenborg, Tavion Yrjo, Ashfaq Khokhar, Goce Trajcevski:
UGASP: User and Group Aware Shopping Planner. MDM 2021: 254-257 - [c122]Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski:
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. SIGIR 2021: 1875-1879 - [c121]Xu Teng, Adam Corpstein, Joel Holm, Willis Knox, Becker Mathie, Philip R. O. Payne, Ethan Vander Wiel, Prabin Giri, Goce Trajcevski, Aaron Dotter, Jeff Andrews, Scott Coughlin, Ying Qin, Juan Gabriel Serra-Perez, Nam Tran, Jaime Roman-Garja, Konstantinos Kovlakas, Emmanouil Zapartas, Simone Bavera, Devina Misra, Tassos Fragos:
CACSE: Context Aware Clustering of Stellar Evolution. SSTD 2021: 157-160 - 2020
- [j37]Muhammed Mas-ud Hussain, Mir Imtiaz Mostafiz, S. M. Farabi Mahmud, Goce Trajcevski, Mohammed Eunus Ali:
Conditional MaxRS Query for Evolving Spatial Data. Frontiers Big Data 3: 20 (2020) - [j36]Ting Zhong, Zijing Wen, Fan Zhou, Goce Trajcevski, Kunpeng Zhang:
Session-based recommendation via flow-based deep generative networks and Bayesian inference. Neurocomputing 391: 129-141 (2020) - [j35]Fan Zhou, Qing Yang, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ashfaq Khokhar:
Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting. IEEE Internet Things J. 7(7): 6414-6428 (2020) - [j34]Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, Jin Wu, Ting Zhong:
Recommendation via Collaborative Autoregressive Flows. Neural Networks 126: 52-64 (2020) - [j33]Ralf Hartmut Güting, Lars Kulik, Shawn D. Newsam, Farnoush Banaei Kashani, Goce Trajcevski:
Conference report: The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019): Chicago, Illinois, USA, November 5-8, 2019. ACM SIGSPATIAL Special 12(1): 3-5 (2020) - [j32]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. ACM SIGSPATIAL Special 12(3): 3-6 (2020) - [j31]Fan Zhou, Hantao Wu, Goce Trajcevski, Ashfaq Khokhar, Kunpeng Zhang:
Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation. ACM Trans. Spatial Algorithms Syst. 6(2): 13:1-13:25 (2020) - [j30]Ting Zhong, Shengming Zhang, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Jin Wu:
Hybrid graph convolutional networks with multi-head attention for location recommendation. World Wide Web 23(6): 3125-3151 (2020) - [c120]Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang:
Interpreting Twitter User Geolocation. ACL 2020: 853-859 - [c119]Goce Trajcevski, Booma Sowkarthiga Balasubramani, Isabel F. Cruz, Roberto Tamassia, Xu Teng:
Semantically Augmented Range Queries over Heterogeneous Geospatial Data. SIGSPATIAL/GIS 2020: 68-77 - [c118]Prabin Giri, Hooman Hashemi, Evan Gossling, Jason T. Guo, Koshal P. Shah, Goce Trajcevski:
CET-LATS: Compressing Evolution of TINs from Location Aware Time Series. SIGSPATIAL/GIS 2020: 469-472 - [c117]Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu:
Continual Information Cascade Learning. GLOBECOM 2020: 1-6 - [c116]Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski:
Meta-Learned User Preference for Topic Participation Prediction. GLOBECOM 2020: 1-6 - [c115]Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu:
Unsupervised User Identity Linkage via Graph Neural Networks. GLOBECOM 2020: 1-6 - [c114]Qiang Gao, Fan Zhou, Goce Trajcevski, Fengli Zhang, Xucheng Luo:
Adversity-based Social Circles Inference via Context-Aware Mobility. GLOBECOM 2020: 1-6 - [c113]Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang:
Enhancing Urban Flow Maps via Neural ODEs. IJCAI 2020: 1295-1302 - [c112]Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng:
Fast Network Alignment via Graph Meta-Learning. INFOCOM 2020: 686-695 - [c111]Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong:
Variational Information Diffusion for Probabilistic Cascades Prediction. INFOCOM 2020: 1618-1627 - [c110]Fan Zhou, Liang Li, Kunpeng Zhang, Goce Trajcevski, Fuming Yao, Ying Huang, Ting Zhong, Jiahao Wang, Qiao Liu:
Forecasting the Evolution of Hydropower Generation. KDD 2020: 2861-2870 - [c109]Andreas Züfle, Goce Trajcevski, Dieter Pfoser, Joon-Seok Kim:
Managing Uncertainty in Evolving Geo-Spatial Data. MDM 2020: 5-8 - [c108]Xu Teng, Goce Trajcevski, Joon-Seok Kim, Andreas Züfle:
Semantically Diverse Path Search. MDM 2020: 69-78 - [c107]Amiah Gooding, Matthew Martin, Maxwell Minard, Smruthi Sandhanam, Travis Stanger, Yana Alexandrova, Ashfaq Khokhar, Goce Trajcevski:
TOSNOS: To Online Shop, or Not-to Online Shop - Enabling Combined Improvements. PerCom Workshops 2020: 1-3 - [e9]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020. ACM 2020, ISBN 978-1-4503-8019-5 [contents] - [e8]Mirjana Ivanovic, Tulay Yildirim, Goce Trajcevski, Costin Badica, Ladjel Bellatreche, Igor V. Kotenko, Amelia Badica, Burcu Erkmen, Milos Savic:
International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020, Novi Sad, Serbia, August 24-26, 2020. IEEE 2020, ISBN 978-1-7281-6799-2 [contents] - [i6]Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang:
Frosting Weights for Better Continual Training. CoRR abs/2001.01829 (2020) - [i5]Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng:
Continual Graph Learning. CoRR abs/2003.09908 (2020) - [i4]Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang:
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. CoRR abs/2003.12042 (2020) - [i3]Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang:
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. CoRR abs/2005.11041 (2020)
2010 – 2019
- 2019
- [j29]Fan Zhou, Lei Liu, Kunpeng Zhang, Goce Trajcevski, Jin Wu:
Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference. IEEE Access 7: 8917-8930 (2019) - [j28]Ting Zhong, Fang Liu, Fan Zhou, Goce Trajcevski, Kunpeng Zhang:
Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding. IEEE Access 7: 61934-61948 (2019) - [j27]Marc J. van Kreveld, Bettina Speckmann, Matei Stroila, Goce Trajcevski:
The 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data (MOVE++ 2019). ACM SIGSPATIAL Special 11(3): 9-11 (2019)