VLDB 2026 Research / reviewers in the wild / expert
Xin Min
dblp:32/8378
· DBLP profile ↗
10ranked-venue papers
6as first author
7since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 1 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Computer networks · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Hypergraph topic neural network with cross-modal fusion for latent treatment pattern recommendation
Xin Min, Weidong Xie, Pengfei Zhang 0016, Chuanbiao Wen, Weiping Ding 0001 |
Eng. Appl. Artif. Intell. | 1 |
| 2026 | Multi-Kernelized Fuzzy Granular Outlier Detector
Pengfei Zhang 0016, Zhong Yuan, Jiawei Luo 0002, Xin Min, Tianrui Li 0001, Zheng Yu 0006 |
IEEE Trans. Knowl. Data Eng. | 5 |
| 2024 | Graph neural collaborative filtering with medical content-aware pre-training for treatment pattern recommendation
Xin Min, Wei Li 0117, Ruiqi Han, Tianlong Ji, Weidong Xie |
Pattern Recognit. Lett. | 1 |
| 2023 | Multi-channel hypergraph topic neural network for clinical treatment pattern mining
Xin Min, Wei Li 0117, Panpan Ye, Tianlong Ji, Weidong Xie |
Inf. Process. Manag. | 1 |
| 2023 | An abnormal surgical record recognition model with keywords combination patterns based on TextRank for medical insurance fraud detection
Wei Li 0117, Panpan Ye, Kun Yu 0002, Xin Min, Weidong Xie |
Multim. Tools Appl. | 4 |
| 2022 | Fast elastic motion estimation with improved Levenberg-Marquardt optimization
Chuanming Song 0001, Xin Min, Xiang-Hai Wang 0001 |
Inf. Sci. | 2 |
| 2022 | Dual-level diagnostic feature learning with recurrent neural networks for treatment sequence recommendation
Xin Min, Wei Li 0117, Jinzhao Yang, Weidong Xie, Dazhe Zhao |
J. Biomed. Informatics | 1 |
| 2019 | VPModel: High-Fidelity Product Simulation in a Virtual-Physical EnvironmentabstractIn the development of a new product, the design team must describe the expected effects of the final products to potential users and stakeholders. However, existing prototyping tools can only present a product imperfectly, due to limitations at different levels. Specifically, the physical product model, which may be the product of 3D printing, could lack a visual interface; the presentation of the product through modeling software such as Rhinoceros 3D does not provide good realistic tactile perception; or the interface platforms, such as Axure RP, used to display the interactive effects differ from those to be used in the actual operation. Thus, we present the VPModel, a high-fidelity prototyping tool, able to integrate multiple prototyping methods simultaneously. It combines a touchable 3D-printed product model (3DPM) and a corresponding visualized virtual model, and the interactive interfaces are rendered synchronously in a mixed-reality device. Through the tangible, visual, and interactive demonstration, designers and normal users can each obtain a similar experience to the experience of the finished product. Furthermore, the VPModel also enhances design practices by enabling comparisons between modular models. However, the implementation of this system is a challenging task, which subsumes several fundamental problems as sub-tasks: object detection, real-time matching, hand-gesture detection and action recognition. To achieve the expected goals of the VPModel, this system uses physical hardware (a Microsoft MR HoloLens headset, a Leap Motion Controller, and a 3D printer) and existing machine learning algorithms. To evaluate our VPModel, we report the user experience of 16 participants, evaluated using a closed-ended questionnaire survey, a quantitative analysis of task performance, and a qualitative analysis of open-ended interviews. The results show a significant improvement in realism and enjoyment using the VPModel over the two traditional camera prototype approaches. In summary, the VPModel can be used to support design strategy and to convey design concepts fully and efficiently, which indicates a potential use for the VPModel in shortening product development cycles and reducing communication costs. Xin Min, Wenqiao Zhang, Shouqian Sun, Siliang Tang, Yueting Zhuang |
IEEE Trans. Vis. Comput. Graph. | 1 |
| 2017 | Uncooperative Gait Recognition Using Joint Bayesian
Chao Li 0008, Kan Qiao, Xin Min, Xiaoyan Pang, Shouqian Sun |
ICIG (1) | 3 |
| 2010 | Promising performance of a frequency-modulated differential chaos shift keying ultra-wideband system under indoor environmentsabstractIn this study, the performance of the frequency-modulated differential chaos shift keying (FM-DCSK) ultra-wideband (UWB) system is evaluated through two important system parameters, the guard interval and the integration interval of the integrator, over indoor communication channels. It is found that the existing FM-DCSK UWB system suffers severe performance degradation in the IEEE 802.15.4a low-rate application. To resolve this problem, a new optimising scheme for the integration interval is presented. Simulation results show that the performance of the proposed scheme is significantly improved and becomes insensitive to the data rate. In addition, some notable advantages are evident in the proposed system, such as moderate multiple-access capability and feasible cross-layer optimisation. Xin Min, Weikai Xu, Lin Wang 0003, Guanrong Chen |
IET Commun. | 1 |