Mingjun Zhao

According to our database, Mingjun Zhao authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GAXG: A Global and Self-Adaptive Optimal Graph Topology Generation Framework for Explaining Graph Neural Networks.

Xiaofeng Liu, Chenqi Guo, Mingjun Zhao, Yinglong Ma

IEEE Trans. Netw. Sci. Eng., 2024

DimReg: Embedding Dimension Search via Regularization for Recommender Systems.

Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Multi-task online allocation based on path planning strategy in Spatial crowdsourcing environment.

Yiduo Cheng, Xu Yuan, Dunhui Yu, Mingjun Zhao

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples.

Mingjun Zhao, Yinglei Cheng, Xianxiang Qin, Wangsheng Yu, Peng Wang

Sensors, February, 2023

Fungal names: a comprehensive nomenclatural repository and knowledge base for fungal taxonomy.

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

Nucleic Acids Res., January, 2023

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently.

Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin

CoRR, 2023

CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering.

Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu

Proceedings of the ACM Web Conference 2023, 2023

BDA: Bandit-based Transferable AutoAugment.

Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Double-Layer Multi-robot Path Planner based on Deep Multiple Dueling Network Agent.

Mingjun Zhao, Qichao Wu, Weiwei Zhao, Rui Lin

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.

Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Search-Map-Search: A Frame Selection Paradigm for Action Recognition.

Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis.

Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation.

Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

LA3: Efficient Label-Aware AutoAugment.

Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

QBSUM: A large-scale query-based document summarization dataset from real-world applications.

Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo

Comput. Speech Lang., 2021

Verdi: Quality Estimation and Error Detection for Bilingual.

Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang

CoRR, 2021

Verdi: Quality Estimation and Error Detection for Bilingual Corpora.

Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization.

Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Design and Implementation of a Time Prediction Model for LS-DYNA Cloud Computing Platform.

Wenqian Zhang, Qingzheng Xu, Mingjun Zhao, Jianhang Zhang, Na Wang

Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models.

Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Generate Questions by Learning What not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

CoRR, 2019

Learning to Generate Questions by LearningWhat not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

Proceedings of the World Wide Web Conference, 2019

2018

Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans.

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

Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

2017

Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution.

Chong Huang, Daniel Irwin, Mingjun Zhao, Yu Shang, Nneamaka Agochukwu, Lesley Wong, Guoqiang Yu

IEEE Trans. Medical Imaging, 2017