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Journal Articles
- 2024
[j9]Mengying Wang, Hanchao Ma, Sheng Guan, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu:
ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets. Proc. VLDB Endow. 17(12): 4457-4460 (2024)- 2023
- [j8]Guanhui Liang, Shujiang Li
, Ke Bao, Guanlin Wang, Fei Teng, Fengye Zhang, Yanfeng Wang, Sheng Guan, Zexun Wei:
Development of GNSS Buoy for Sea Surface Elevation Observation of Offshore Wind Farm. Remote. Sens. 15(22): 5323 (2023) - 2022
- [j7]Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access 10: 32337-32349 (2022) - 2021
- [j6]Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu:
GEDet: Detecting Erroneous Nodes with A Few Examples. Proc. VLDB Endow. 14(12): 2875-2878 (2021) - 2020
- [j5]Jingjing Jiang, Haiwen Wang, Xiangwei Mu, Sheng Guan:
Logistics industry monitoring system based on wireless sensor network platform. Comput. Commun. 155: 58-65 (2020) - [j4]Jin Chen, Sheng Guan:
Correntropy-based DOA estimation algorithm under impulsive noise environments. EURASIP J. Wirel. Commun. Netw. 2020(1): 154 (2020) - 2018
- [j3]Jin Chen, Sheng Guan, Ying Tong, Lei Yan:
Two-Dimensional Direction of Arrival Estimation for Improved Archimedean Spiral Array With MUSIC Algorithm. IEEE Access 6: 49740-49745 (2018) - 2017
- [j2]Sheng Guan, Haibin Kan, Jie Wen, Shuli Xia:
A New Construction of Exact-Repair MSR Codes Using Linearly Dependent Vectors. IEEE Commun. Lett. 21(8): 1691-1694 (2017) - 2013
- [j1]Xianghua Ying, Kun Peng, Yongbo Hou, Sheng Guan, Jing Kong, Hongbin Zha:
Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1206-1220 (2013)
Conference and Workshop Papers
- 2023
- [c21]Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu:
Selecting Top-k Data Science Models by Example Dataset. CIKM 2023: 2686-2695 - [c20]Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu:
GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. ICDE 2023: 1705-1718 - [c19]Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu:
Fair Group Summarization with Graph Patterns. ICDE 2023: 1982-1994 - 2022
- [c18]Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu:
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. CIKM 2022: 5014-5018 - [c17]Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu:
Subgraph Query Generation with Fairness and Diversity Constraints. ICDE 2022: 3106-3118 - [c16]Sheng Guan, Hanchao Ma, Yinghui Wu:
RoboGNN: Robustifying Node Classification under Link Perturbation. IJCAI 2022: 3029-3035 - [c15]Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury:
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG 2022: 45 - [c14]Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu:
Diversified Subgraph Query Generation with Group Fairness. WSDM 2022: 686-694 - 2020
- [c13]Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu:
GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. IEEE BigData 2020: 44-53 - [c12]Jingjing Jiang, Sheng Guan, JiaShun Wang, Dandan Wang, Xue Song:
Genetic Algorithm of the Mutual Selection Between Teachers and Students in Online Learning. CSIA (1) 2020: 725-733 - [c11]Yao Li, Jingjing Jiang, Sheng Guan, Weijia Zeng:
Reform of Database and Data Warehouse Course Based on OBE-CDIO Model. SPIoT (1) 2020: 724-730 - 2019
- [c10]Sheng Guan, Hanchao Ma, Yinghui Wu:
Attribute-Driven Backbone Discovery. KDD 2019: 187-195 - 2018
- [c9]Sheng Guan, Weicheng He, Wenjin Gu, Yuanzhao Hou, Yun Chen, Xiaoyang Zeng:
Multi-mode Study of Deep Learning Applications in Acoustic Signal Processing. SiPS 2018: 292-295 - 2017
- [c8]Sheng Guan, Haibin Kan, Xin Wang:
A construction of (5, 3) MDS codes with optimal repair capability for distributed storage systems. WCSP 2017: 1-6 - 2016
- [c7]Haiman Tian, Hsin-Yu Ha, Samira Pouyanfar, Yilin Yan, Sheng Guan, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid:
A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper). IRI 2016: 324-331 - [c6]Yilin Yan, Samira Pouyanfar, Haiman Tian, Sheng Guan, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Shahid Hamid:
Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). IRI 2016: 441-447 - [c5]Yilin Yan, Samira Pouyanfar, Sheng Guan, Haiman Tian, Hsin-Yu Ha, Mei-Ling Shyu, Shu-Ching Chen, Winnie Chen, Tiffany Chen, Jonathan Chen:
Florida International University - University of Miami TRECVID 2016. TRECVID 2016 - 2015
- [c4]Sheng Guan, Min Chen, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu, Chengde Zhang:
Deep Learning with MCA-based Instance Selection and Bootstrapping for Imbalanced Data Classification. CIC 2015: 288-295 - 2012
- [c3]Jing Kong, Xianghua Ying, Songtao Pu, Yongbo Hou, Sheng Guan, Ganwen Wang, Hongbin Zha:
Camera Calibration Using Vertical Lines. ACCV Workshops (1) 2012: 218-229 - [c2]Xianghua Ying, Li Yang, Jing Kong, Yongbo Hou, Sheng Guan, Hongbin Zha:
Direct least square fitting of ellipsoids. ICPR 2012: 3228-3231 - 1993
- [c1]Sheng Guan:
Generalizing Evidence Theory to Lattices to Manage Uncertainty. ICTAI 1993: 180-183
Informal and Other Publications
- 2022
- [i2]Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR abs/2202.08065 (2022) - 2017
- [i1]Sheng Guan, Haibin Kan, Xin Wang:
A Novel Construction of Low-Complexity MDS Codes with Optimal Repair Capability for Distributed Storage Systems. CoRR abs/1706.04898 (2017)
Coauthor Index
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