Mingjun Zhao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Document Summarization

Quality Estimation

Optical Imaging

Translation Model

Top Venues

Publications

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)
Yiduo Cheng, Xu Yuan, Dunhui Yu, Mingjun Zhao
Multi-task online allocation based on path planning strategy in Spatial crowdsourcing environment. CSCWD (2024)
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) (2023)
Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. WWW (2023)
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)
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) (2023)
Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CoRR (2023)
Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CVPR (2023)
Yakun Yu, Mingjun Zhao, Shi-ang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. ACL (Findings) (2023)
Yakun Yu, Mingjun Zhao, Shi-ang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. CoRR (2023)
Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
LA3: Efficient Label-Aware AutoAugment. CoRR (2023)
Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. CoRR (2023)
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 (2023)
Mingjun Zhao, Qichao Wu, Weiwei Zhao, Rui Lin
Double-Layer Multi-robot Path Planner based on Deep Multiple Dueling Network Agent. ROBIO (2023)
Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu
BDA: Bandit-based Transferable AutoAugment. SDM (2023)
Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
LA3: Efficient Label-Aware AutoAugment. ECCV (21) (2022)
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)
Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
Verdi: Quality Estimation and Error Detection for Bilingual Corpora. WWW (2021)
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 (2021)
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 (2021)
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)
Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
Verdi: Quality Estimation and Error Detection for Bilingual. CoRR (2021)
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 (2021)
Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models. CoRR (2020)
Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. AAAI (2020)
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)
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 (2020)
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)
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 (2019)
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)
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)
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) (2017)