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ORCIDMingjun Zhao
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2020 – today
- 2024
[c17]Yiduo Cheng, Xu Yuan, Dunhui Yu, Mingjun Zhao:
Multi-task online allocation based on path planning strategy in Spatial crowdsourcing environment. CSCWD 2024: 941-949- [c16]Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu:
DimReg: Embedding Dimension Search via Regularization for Recommender Systems. SDM 2024: 562-570 - 2023
- [j4]Fang Wang, Ke Wang, Lei Cai
, Mingjun Zhao, Paul M. Kirk, Guomei Fan, Qinglan Sun, Bo Li, Shuai Wang, Zhengfei Yu, Dong Han, Juncai Ma, Linhuan Wu, Yijian Yao:
Fungal names: a comprehensive nomenclatural repository and knowledge base for fungal taxonomy. Nucleic Acids Res. 51(D1): 708-716 (2023) - [j3]Mingjun Zhao, Yinglei Cheng, Xianxiang Qin, Wangsheng Yu, Peng Wang:
Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. Sensors 23(4): 2109 (2023) - [c15]Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu:
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. ACL (Findings) 2023: 13610-13624 - [c14]Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu:
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CVPR 2023: 10627-10636 - [c13]Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo:
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) 2023: 16-28 - [c12]Mingjun Zhao, Qichao Wu, Weiwei Zhao, Rui Lin:
Double-Layer Multi-robot Path Planner based on Deep Multiple Dueling Network Agent. ROBIO 2023: 1-8 - [c11]Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu:
BDA: Bandit-based Transferable AutoAugment. SDM 2023: 550-558 - [c10]Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu:
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. WWW 2023: 1784-1792 - [i11]Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin:
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. CoRR abs/2303.17870 (2023) - [i10]Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu:
LA3: Efficient Label-Aware AutoAugment. CoRR abs/2304.10310 (2023) - [i9]Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu:
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CoRR abs/2304.10316 (2023) - [i8]Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu:
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. CoRR abs/2304.11061 (2023) - [i7]Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu:
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. CoRR abs/2306.15796 (2023) - 2022
- [c9]Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu:
LA3: Efficient Label-Aware AutoAugment. ECCV (21) 2022: 262-277 - [c8]Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. WSDM 2022: 571-581 - 2021
- [j2]Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo:
QBSUM: A large-scale query-based document summarization dataset from real-world applications. Comput. Speech Lang. 66: 101166 (2021) - [c7]Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang:
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. ACL/IJCNLP (Findings) 2021: 1383-1392 - [c6]Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang:
Verdi: Quality Estimation and Error Detection for Bilingual Corpora. WWW 2021: 3023-3031 - [i6]Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang:
Verdi: Quality Estimation and Error Detection for Bilingual. CoRR abs/2105.14878 (2021) - [i5]Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang:
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. CoRR abs/2108.00801 (2021) - [i4]Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. CoRR abs/2111.10093 (2021) - 2020
- [c5]Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang:
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. AAAI 2020: 9652-9659 - [c4]Wenqian Zhang, Qingzheng Xu, Mingjun Zhao, Jianhang Zhang, Na Wang:
Design and Implementation of a Time Prediction Model for LS-DYNA Cloud Computing Platform. ICCPR 2020: 513-518 - [i3]Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang:
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models. CoRR abs/2004.05757 (2020) - [i2]Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo:
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications. CoRR abs/2010.14108 (2020)
2010 – 2019
- 2019
- [c3]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by LearningWhat not to Generate. WWW 2019: 1106-1118 - [i1]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by Learning What not to Generate. CoRR abs/1902.10418 (2019) - 2018
- [c2]Siavash Mazdeyasna, Chong Huang, Mingjun Zhao, Alisha R. Bonaroti, Kathryn Saatman, Lei Chen, Elie G. Abu Jawdeh, Henrietta S. Bada, Brandon A. Miller, Lesley Wong, Guoqiang Yu:
Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans. ISSPIT 2018: 129-134 - [c1]Siavash Mazdeyasna, Chong Huang, Mingjun Zhao, Alisha R. Bonaroti, Kathryn Saatman, Lei Chen, Elie G. Abu Jawdeh, Henrietta S. Bada, Brandon A. Miller, Lesley Wong, Guoqiang Yu:
Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans. ISSPIT 2018: 441-446 - 2017
- [j1]Chong Huang, Daniel Irwin, Mingjun Zhao, Yu Shang, Nneamaka Agochukwu, Lesley Wong, Guoqiang Yu:
Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution. IEEE Trans. Medical Imaging 36(10): 2068-2076 (2017)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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