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Zhongwei Xie
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2020 – today
- 2024
- [j7]Zhihao Wang, Lin Li, Zhongwei Xie, Chuanbo Liu:
Video Frame-wise Explanation Driven Contrastive Learning for Procedural Text Generation. Comput. Vis. Image Underst. 241: 103954 (2024) - [j6]Ming Li
, Lin Li
Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards. ACM Trans. Intell. Syst. Technol. 15(4): 81:1-81:28 (2024) - 2023
- [c13]Lin Li, Haohan Zhang
Transductive Cross-Lingual Scene-Text Visual Question Answering. ICONIP (6) 2023: 452-467 - 2022
- [j5]Zhongwei Xie
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. ACM Trans. Inf. Syst. 40(4): 74:1-74:27 (2022) - [j4]Zhongwei Xie
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. IEEE Trans. Serv. Comput. 15(6): 3304-3316 (2022) - [c12]Zeqin Fang, Lin Li, Zhongwei Xie, Jingling Yuan:
Cross-Modal Attention Networks with Modality Disentanglement for Scene-Text VQA. ICME 2022: 1-6 - [c11]Zhongwei Xie, Lin Li, Luo Zhong, Jianquan Liu, Ling Liu
Cross-Modal Retrieval between Event-Dense Text and Image. ICMR 2022: 229-238 - 2021
- [c10]Zhongwei Xie, Ling Liu
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. CIKM 2021: 2221-2230 - [c9]Yanzhao Wu
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c8]Zhongwei Xie, Ling Liu
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. ICMI 2021: 43-51 - [i6]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. CoRR abs/2108.00705 (2021) - [i5]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. CoRR abs/2108.00724 (2021) - [i4]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. CoRR abs/2108.03788 (2021) - [i3]Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering. CoRR abs/2110.11592 (2021) - 2020
- [j3]Pumin Li, Qi Xu
primirTSS: an R package for identifying cell-specific microRNA transcription start sites. Bioinform. 36(11): 3605-3606 (2020) - [j2]Zhongwei Xie
Image-to-video person re-identification with cross-modal embeddings. Pattern Recognit. Lett. 133: 70-76 (2020) - [c7]Zhongwei Xie, Ling Liu, Yanzhao Wu
Cross-Modal Joint Embedding with Diverse Semantics. CogMI 2020: 157-166 - [c6]Yanzhao Wu
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [i2]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR abs/2010.10623 (2020)
2010 – 2019
- 2019
- [j1]Zhongwei Xie
Enhancing multimodal deep representation learning by fixed model reuse. Multim. Tools Appl. 78(21): 30769-30791 (2019) - 2018
- [c5]Zhongwei Xie, Lin Li, Xian Zhong
A Hybrid Model Reuse Training Approach for Multilingual OCR. WISE (1) 2018: 497-512 - [i1]Zhongwei Xie, Lin Li, Xian Zhong, Luo Zhong:
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings. CoRR abs/1810.03989 (2018) - 2017
- [c4]Yang Liu, Lin Li, Zhongwei Xie, Ge Zhu, Guiming Xu:
Urban emergency shelter site selection. BESC 2017: 1-6 - [c3]Zhongwei Xie, Lin Li, Yueqing Sun, Wangping Li, Guiming Xu:
Urban emergency evacuation strategy. BESC 2017: 1-6 - [c2]Yueqing Sun, Lin Li, Zhongwei Xie, Qing Xie, Xin Li, Guandong Xu:
Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition. DASFAA (2) 2017: 545-555 - 2015
- [c1]Xingmin Cui, Jingxuan Wang, Lucas Chi Kwong Hui, Zhongwei Xie, Tian Zeng, Siu-Ming Yiu:
WeChecker: efficient and precise detection of privilege escalation vulnerabilities in Android apps. WISEC 2015: 25:1-25:12
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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