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2020 – today
- 2024
[c13]Tong Zhu, Huobin Tan, XinYu Chen, Yating Ren:
A Transformer-based Knowledge Graph Embedding Model Combining Graph Paths and Local Neighborhood. IJCNN 2024: 1-9- [i2]Lei Shi, Zhimeng Liu, Yi Yang, Weize Wu, Yuyang Zhang, Hongbo Zhang, Jing Lin, Siyu Wu, Zihan Chen, Ruiming Li, Nan Wang, Zipeng Liu, Huobin Tan, Hongyi Gao, Yue Zhang, Ge Wang:
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations. CoRR abs/2408.04665 (2024) - 2023
- [c12]Botong Zhu
, Huobin Tan:
VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for Vulnerability Detection. AAIA 2023: 392-396 - [i1]Botong Zhu, Huobin Tan:
VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for vulnerability Detection. CoRR abs/2302.02345 (2023) - 2022
- [c11]Jingwei Lv, Jiannan Hao, Shuzhen Yao, Huobin Tan:
A Two-Sided Stable Matching Method in Ridesharing. CCIS 2022: 671-675 - [c10]Xiyang Liu, Tong Zhu, Huobin Tan, Richong Zhang:
Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding. ISWC 2022: 284-302 - 2021
- [j4]Xiyang Liu, Huobin Tan, Qinghong Chen, Guangyan Lin:
RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion. IEEE Access 9: 20840-20849 (2021) - [c9]Yongguang Wang, Huobin Tan, Shuzhen Yao:
Curved SDE-Net Leads to Better Generalization for Uncertainty Estimates of DNNs. ICANN (2) 2021: 248-259 - [c8]Yuxuan Fan, Huobin Tan, Yu Liu, Jingxuan Zhang:
DeTable: Table data extraction model based on deep. ICNCC 2021: 8-13 - [c7]Zilie Wang, Botong Zhu, Huobin Tan:
An Automated Approach to Domain-specific Term Extraction for Programming Language. ICNCC 2021: 25-30 - 2020
- [j3]Huobin Tan, Yongfeng Tian, Linfeng Wang, Guangyan Lin:
Name disambiguation using meta clusters and clustering ensemble. J. Intell. Fuzzy Syst. 38(2): 1559-1568 (2020) - [c6]Qing Sun, You Song, Huobin Tan:
How do early programmers benefit from SPOC blended teaching: a data-driven analysis. ACM TUR-C 2020: 65-70 - [c5]Qinghong Chen, Huobin Tan, Guangyan Lin, Ze Wang:
A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems. ICDM (Workshops) 2020: 119-126 - [c4]Ze Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, Xiyang Liu:
CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. SIGIR 2020: 219-228
2010 – 2019
- 2018
- [j2]Danjiang Zhu, Huobin Tan, Shuzhen Yao:
Petri Nets-based method to elicit component-interaction related safety requirements in safety-critical systems. Comput. Electr. Eng. 71: 162-172 (2018) - [c3]Yijun Fan, Guangyan Lin, Huobin Tan:
PDF report automatic generation system based on JAVA. ICGDA 2018: 18-21 - [c2]Yongfeng Tian, Huobin Tan, Guangyan Lin:
Statistical properties analysis of file modification in open-source software repositories. ICGDA 2018: 62-66 - [c1]Li Ji, Guangyan Lin, Huobin Tan:
Neural Collaborative Filtering: Hybrid Recommendation Algorithm with Content Information and Implicit Feedback. IDEAL (1) 2018: 679-688 - 2016
- [j1]Ying Peng, Shuzhen Yao, Huobin Tan:
基于随机时间Petri网的安全性分析方法 (Safety Analysis Method Based on Stochastic Time Petri Nets). 计算机科学 43(11): 61-65 (2016)
Coauthor Index
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