Generalizing Evidence Theory to Lattices to Manage Uncertainty. - Sheng Guan (ICTAI, 1993)

Camera Calibration Using Vertical Lines. - Jing Kong; Xianghua Ying; Songtao Pu; Yongbo Hou; Sheng Guan; Ganwen Wang; Hongbin Zha (ACCV Workshops (1), 2012)

Direct least square fitting of ellipsoids. - Xianghua Ying; Li Yang; Jing Kong; Yongbo Hou; Sheng Guan; Hongbin Zha (ICPR, 2012)

Self-Calibration of Catadioptric Camera with Two Planar Mirrors from Silhouettes. - Xianghua Ying; Kun Peng; Yongbo Hou; Sheng Guan; Jing Kong; Hongbin Zha (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Deep Learning with MCA-based Instance Selection and Bootstrapping for Imbalanced Data Classification. - Sheng Guan; Min Chen 009; Hsin-Yu Ha; Shu-Ching Chen; Mei-Ling Shyu; Chengde Zhang (CIC, 2015)

A Scalable and Automatic Validation Process for Florida Public Hurricane Loss Model (Invited Paper). - Haiman Tian; Hsin-Yu Ha; Samira Pouyanfar; Yilin Yan; Sheng Guan; Shu-Ching Chen; Mei-Ling Shyu; Shahid Hamid 001 (IRI, 2016)

Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). - Yilin Yan; Samira Pouyanfar; Haiman Tian; Sheng Guan; Hsin-Yu Ha; Shu-Ching Chen; Mei-Ling Shyu; Shahid Hamid 001 (IRI, 2016)

Florida International University - University of Miami TRECVID 2016. - Yilin Yan; Samira Pouyanfar; Sheng Guan; Haiman Tian; Hsin-Yu Ha; Mei-Ling Shyu; Shu-Ching Chen; Winnie Chen; Tiffany Chen; Jonathan Chen (TRECVID, 2016)

A construction of (5, 3) MDS codes with optimal repair capability for distributed storage systems. - Sheng Guan; Haibin Kan; Xin Wang (WCSP, 2017)

A Novel Construction of Low-Complexity MDS Codes with Optimal Repair Capability for Distributed Storage Systems. - Sheng Guan; Haibin Kan; Xin Wang (CoRR, 2017)

A New Construction of Exact-Repair MSR Codes Using Linearly Dependent Vectors. - Sheng Guan; Haibin Kan; Jie Wen 010; Shuli Xia (IEEE Commun. Lett., 2017)

Multi-mode Study of Deep Learning Applications in Acoustic Signal Processing. - Sheng Guan; Weicheng He; Wenjin Gu; Yuanzhao Hou; Yun Chen 001; Xiaoyang Zeng (SiPS, 2018)

Two-Dimensional Direction of Arrival Estimation for Improved Archimedean Spiral Array With MUSIC Algorithm. - Jin Chen 002; Sheng Guan; Ying Tong; Lei Yan (IEEE Access, 2018)

Attribute-Driven Backbone Discovery. - Sheng Guan; Hanchao Ma; Yinghui Wu 001 (KDD, 2019)

GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. - Sheng Guan; Peng Lin; Hanchao Ma; Yinghui Wu 001 (IEEE BigData, 2020)

Genetic Algorithm of the Mutual Selection Between Teachers and Students in Online Learning. - Jingjing Jiang; Sheng Guan; JiaShun Wang; Dandan Wang; Xue Song (CSIA (1), 2020)

Reform of Database and Data Warehouse Course Based on OBE-CDIO Model. - Yao Li; Jingjing Jiang; Sheng Guan; Weijia Zeng (SPIoT (1), 2020)

Logistics industry monitoring system based on wireless sensor network platform. - Jingjing Jiang; Haiwen Wang; Xiangwei Mu; Sheng Guan (Comput. Commun., 2020)

Correntropy-based DOA estimation algorithm under impulsive noise environments. - Jin Chen 002; Sheng Guan (EURASIP J. Wirel. Commun. Netw., 2020)

GEDet: Detecting Erroneous Nodes with A Few Examples. - Sheng Guan; Hanchao Ma; Sutanay Choudhury; Yinghui Wu 001 (Proc. VLDB Endow., 2021)

CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. - Mengying Wang 001; Hanchao Ma; Abhishek Daundkar; Sheng Guan; Yiyang Bian; Alp Sehirlioglu; Yinghui Wu 001 (CIKM, 2022)

Subgraph Query Generation with Fairness and Diversity Constraints. - Hanchao Ma; Sheng Guan; Mengying Wang 001; Yen-Shuo Chang; Yinghui Wu 001 (ICDE, 2022)

RoboGNN: Robustifying Node Classification under Link Perturbation. - Sheng Guan; Hanchao Ma; Yinghui Wu 001 (IJCAI, 2022)

Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. - Sayak Mukherjee; Sai Pushpak Nandanoori; Sheng Guan; Khushbu Agarwal; Subhrajit Sinha; Soumya Kundu; Seemita Pal; Yinghui Wu 001; Draguna L. Vrabie; Sutanay Choudhury (LoG, 2022)

Diversified Subgraph Query Generation with Group Fairness. - Hanchao Ma; Sheng Guan; Christopher Toomey; Yinghui Wu 001 (WSDM, 2022)

Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. - Sai Pushpak Nandanoori; Sheng Guan; Soumya Kundu; Seemita Pal; Khushbu Agarwal; Yinghui Wu 001; Sutanay Choudhury (IEEE Access, 2022)

Selecting Top-k Data Science Models by Example Dataset. - Mengying Wang 001; Sheng Guan; Hanchao Ma; Yiyang Bian; Haolai Che; Abhishek Daundkar; Alp Sehirlioglu; Yinghui Wu 001 (CIKM, 2023)

GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. - Sheng Guan; Hanchao Ma; Mengying Wang 001; Yinghui Wu 001 (ICDE, 2023)

Fair Group Summarization with Graph Patterns. - Hanchao Ma; Sheng Guan; Mengying Wang 001; Qi Song 004; Yinghui Wu 001 (ICDE, 2023)

Development of GNSS Buoy for Sea Surface Elevation Observation of Offshore Wind Farm. - Guanhui Liang; Shujiang Li; Ke Bao; Guanlin Wang; Fei Teng; Fengye Zhang; Yanfeng Wang; Sheng Guan; Zexun Wei (Remote. Sens., 2023)

ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets. - Mengying Wang 001; Hanchao Ma; Sheng Guan; Yiyang Bian; Haolai Che; Abhishek Daundkar; Alp Sehirlioglu; Yinghui Wu 001 (Proc. VLDB Endow., 2024)

Can Watermarked LLMs be Identified by Users via Crafted Prompts? - Aiwei Liu; Sheng Guan; Yiming Liu; Leyi Pan; Yifei Zhang; Liancheng Fang; Lijie Wen 001; Philip S. Yu; Xuming Hu (ICLR, 2025)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. - Sangmin Woo; Kang Zhou; Yun Zhou; Shuai Wang; Sheng Guan; Haibo Ding; Lin Lee Cheong (NAACL (Short Papers), 2025)

Damage identification method for jacket platform based on dual-channel model. - Wenkai Wu; Junwei Gao; Ankai Wei; Sheng Guan (Digit. Signal Process., 2025)

Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions. - Jingxin Xu; Guoshun Nan; Sheng Guan; Sicong Leng; Yilian Liu; Zixiao Wang; Yuyang Ma; Zhili Zhou; Yanzhao Hou; Xiaofeng Tao (CoRR, 2025)

A Systematic Survey of Automatic Prompt Optimization Techniques. - Kiran Ramnath; Kang Zhou; Sheng Guan; Soumya Smruti Mishra; Xuan Qi; Zhengyuan Shen; Shuai Wang; Sangmin Woo; Sullam Jeoung; Yawei Wang; Haozhu Wang; Han Ding 004; et al. (CoRR, 2025)

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models. - Leyi Pan; Zheyu Fu; Yunpeng Zhai; Shuchang Tao; Sheng Guan; Shiyu Huang 001; Lingzhe Zhang; Zhaoyang Liu 003; Bolin Ding; Felix Henry; Lijie Wen 001; Aiwei Liu (CoRR, 2025)