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2020 – today
- 2024
[j12]Han Qin, Li Chen, Luye Mou:
The development of China's electronic case file regulations and its future implications. Comput. Law Secur. Rev. 52: 105930 (2024)- [j11]Zhaolin Wan, Han Qin, Ruiqin Xiong
, Zhiyang Li, Xiaopeng Fan, Debin Zhao:
Predicting 360° Video Saliency: A ConvLSTM Encoder-Decoder Network With Spatio-Temporal Consistency. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(2): 311-322 (2024) - 2023
- [c28]Yongbing Chen, Han Qin, Xiaodan Cui, Tianhui Yang, Pingping Sun, Jianting Gong, Zilin Ren:
PLMTHP: An Ensemble Framework for Tumor Homing Peptide Prediction based on Protein Language Model. BIBM 2023: 841-846 - [c27]Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang:
Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. IEEE Big Data 2023: 2755-2760 - [c26]Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin:
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. IEEE Big Data 2023: 2786-2792 - [c25]Jingchao Yang, Fusheng Wei, Nathaniel Huber-Fliflet, Adam Dabrowski, Qiang Mao, Han Qin:
An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents. IEEE Big Data 2023: 2793-2797 - [c24]Yi Lei, Han Qin, Xiaodan Li, Qing Wang, Lin Zang, Jun Tai, Ji-Jiang Yang:
A Strategy for Aided Diagnosis of Obstructive Sleep Apnea in Children Based on Graph Neural Network. COMPSAC 2023: 1513-1518 - 2022
- [c23]Han Qin, Yan Song:
Reinforced Cross-modal Alignment for Radiology Report Generation. ACL (Findings) 2022: 448-458 - [c22]Fusheng Wei, Jingchao Yang, Qiang Mao, Han Qin, Adam Dabrowski:
An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding. IEEE Big Data 2022: 3336-3340 - [c21]Han Qin, Zeyu Jiang, Yonghua Wang, Hongwei Guo, Ce Zhu, Dandan Ding, Zoe Liu:
Temporally Dependent Rate-Distortion Optimization for AV1 Encoder. BMSB 2022: 1-5 - [c20]Zhaolin Wan, Xiao Yan, Qiushuang Yang, Han Qin, Xiguang Hao, Zhiyang Li:
Omnidirectional Image Quality Assessment With a Superpixel-Based Sparse Model. ISPACS 2022: 1-4 - [c19]Yuanhe Tian, Han Qin, Fei Xia, Yan Song:
ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term Recognition. LREC 2022: 5654-5664 - [c18]Han Qin, Yuanhe Tian, Yan Song:
Enhancing Relation Extraction via Adversarial Multi-task Learning. LREC 2022: 6190-6199 - [c17]Han Qin, Yuanhe Tian, Fei Xia, Yan Song:
Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis. LREC 2022: 7029-7039 - [c16]Yuanhe Tian, Han Qin, Fei Xia, Yan Song:
Syntax-driven Approach for Semantic Role Labeling. LREC 2022: 7129-7139 - 2021
- [j10]Liang Nie, Bo Cai, Shengao Lu, Han Qin, Lixian Zhang:
Finite-time switched LPV control of quadrotors with guaranteed performance. J. Frankl. Inst. 358(14): 7032-7054 (2021) - [c15]Han Qin, Guimin Chen, Yuanhe Tian, Yan Song:
Improving Arabic Diacritization with Regularized Decoding and Adversarial Training. ACL/IJCNLP (2) 2021: 534-542 - [c14]Yuanhe Tian, Guimin Chen, Han Qin, Yan Song:
Federated Chinese Word Segmentation with Global Character Associations. ACL/IJCNLP (Findings) 2021: 4306-4313 - [c13]Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski:
Use Image Clustering to Facilitate Technology Assisted Review. IEEE BigData 2021: 2734-2736 - [c12]Han Qin, Yuanhe Tian, Yan Song:
Relation Extraction with Word Graphs from N-grams. EMNLP (1) 2021: 2860-2868 - [c11]Han Qin, Guimin Chen, Yuanhe Tian, Yan Song:
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories. EMNLP (1) 2021: 3942-3954 - [i6]Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. CoRR abs/2102.02995 (2021) - [i5]Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski:
Use Image Clustering to Facilitate Technology Assisted Review. CoRR abs/2112.08604 (2021) - 2020
- [j9]Gang Zhang, Han Qin, Yuding Ke, Jiansheng Chen, Yanmin Gong:
Phased Groupwise Face Alignment. IEEE Access 8: 62415-62422 (2020) - [c10]Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. IEEE BigData 2020: 2127-2130
2010 – 2019
- 2019
- [j8]Manzhu Yu, Qunying Huang, Han Qin, Chris Scheele, Chaowei Yang:
Deep learning for real-time social media text classification for situation awareness - using Hurricanes Sandy, Harvey, and Irma as case studies. Int. J. Digit. Earth 12(11): 1230-1247 (2019) - [j7]Jingchao Yang, Manzhu Yu, Han Qin, Mingyue Lu, Chaowei Yang:
A Twitter Data Credibility Framework - Hurricane Harvey as a Use Case. ISPRS Int. J. Geo Inf. 8(3): 111 (2019) - [c9]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. IEEE BigData 2019: 2038-2042 - [c8]Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review : A Transfer Learning Approach. IEEE BigData 2019: 4325-4328 - [i4]Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. CoRR abs/1904.01723 (2019) - [i3]Han Qin, Kit Riehle, Haozhen Zhao:
Using Google Analytics to Support Cybersecurity Forensics. CoRR abs/1904.01725 (2019) - [i2]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. CoRR abs/1912.09499 (2019) - [i1]Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR abs/1912.12169 (2019) - 2018
- [j6]Matthew T. Rice, Dan Jacobson, Dieter Pfoser, Kevin M. Curtin, Han Qin, Kerry Coll, Rebecca M. Rice, Fabiana I. Paez, Ahmad O. Aburizaiza:
Quality Assessment and Accessibility Mapping in an Image-Based Geocrowdsourcing Testbed. Cartogr. Int. J. Geogr. Inf. Geovisualization 53(1): 1-14 (2018) - [j5]Chen Wu, Qing Zhu, Yeting Zhang, Xiao Xie, Han Qin, Yan Zhou, Pengcheng Zhang, Weijun Yang:
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data. ISPRS Int. J. Geo Inf. 7(7): 255 (2018) - [c7]Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. IEEE BigData 2018: 3317-3320 - 2017
- [j4]Chen Wu, Qing Zhu, Yeting Zhang, Zhiqiang Du, Xinyue Ye, Han Qin, Yan Zhou:
A NoSQL-SQL Hybrid Organization and Management Approach for Real-Time Geospatial Data: A Case Study of Public Security Video Surveillance. ISPRS Int. J. Geo Inf. 6(1): 21 (2017) - [c6]Han Qin, Kit Riehle, Haozhen Zhao:
Using google analytics to support cybersecurity forensics. IEEE BigData 2017: 3831-3834 - 2016
- [j3]Rebecca M. Rice, Ahmad O. Aburizaiza, Matthew T. Rice, Han Qin:
Position Validation in Crowdsourced Accessibility Mapping. Cartogr. Int. J. Geogr. Inf. Geovisualization 51(2): 55-66 (2016) - [j2]Shihui Ying, Han Qin, Yaxin Peng, Zhijie Wen:
Compute Karcher means on SO(n) by the geometric conjugate gradient method. Neurocomputing 215: 169-174 (2016) - 2011
- [c5]Dejing Dou, Han Qin, Haishan Liu:
Semantic Translation for Rule-Based Knowledge in Data Mining. DEXA (2) 2011: 74-89 - 2010
- [j1]Dejing Dou, Han Qin, Paea LePendu:
Ontograte: towards Automatic Integration for Relational Databases and the Semantic Web through an Ontology-Based Framework. Int. J. Semantic Comput. 4(1): 123-151 (2010) - [c4]Han Qin, Dejing Dou, Yue Fang:
Financial Forecasting with Gompertz Multiple Kernel Learning. ICDM 2010: 983-988
2000 – 2009
- 2007
- [c3]Jun Li, Dejing Dou, Shiwoong Kim, Han Qin, Yibo Wang:
On Knowledge-Based Classification of Abnormal BGP Events. ICISS 2007: 267-271 - [c2]Han Qin, Dejing Dou, Paea LePendu:
Discovering Executable Semantic Mappings Between Ontologies. OTM Conferences (1) 2007: 832-849 - [c1]Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Zhong:
Understanding and Utilizing the Hierarchy of Abnormal BGP Events. SDM 2007: 467-472
Coauthor Index
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