Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution. - Chong Huang 003; Daniel Irwin; Mingjun Zhao; Yu Shang; Nneamaka Agochukwu; Lesley Wong; Guoqiang Yu (IEEE Trans. Medical Imaging, 2017)

Noninvasive Noncontact 3D Optical Imaging of Blood Flow Distributions in Animals and Humans. - Siavash Mazdeyasna; Chong Huang 003; Mingjun Zhao; Alisha R. Bonaroti; Kathryn Saatman; Lei Chen; Elie G. Abu Jawdeh; Henrietta S. Bada; Brandon A. Miller; Lesley Wong; Guoqiang Yu (ISSPIT, 2018)

Learning to Generate Questions by LearningWhat not to Generate. - Bang Liu; Mingjun Zhao; Di Niu; Kunfeng Lai; Yancheng He; Haojie Wei; Yu Xu (WWW, 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)

Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. - Mingjun Zhao; Haijiang Wu; Di Niu; Xiaoli Wang 004 (AAAI, 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 006 (ICCPR, 2020)

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 (ACL/IJCNLP (Findings), 2021)

Verdi: Quality Estimation and Error Detection for Bilingual Corpora. - Mingjun Zhao; Haijiang Wu; Di Niu; Zixuan Wang; Xiaoli Wang 004 (WWW, 2021)

Verdi: Quality Estimation and Error Detection for Bilingual. - Mingjun Zhao; Haijiang Wu; Di Niu; Zixuan Wang; Xiaoli Wang 004 (CoRR, 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)

LA3: Efficient Label-Aware AutoAugment. - Mingjun Zhao; Shan Lu; Zixuan Wang; Xiaoli Wang 004; Di Niu (ECCV (21), 2022)

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. - Chenglin Li; Mingjun Zhao; Huanming Zhang; Chenyun Yu; Lei Cheng 005; Guoqiang Shu; Beibei Kong; Di Niu (WSDM, 2022)

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. - Yakun Yu; Mingjun Zhao; Shiang Qi; Feiran Sun; Baoxun Wang; Weidong Guo; Xiaoli Wang 004; Lei Yang; Di Niu (ACL (Findings), 2023)

Search-Map-Search: A Frame Selection Paradigm for Action Recognition. - Mingjun Zhao; Yakun Yu; Xiaoli Wang 004; Lei Yang; Di Niu (CVPR, 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 (PAKDD (3), 2023)

Double-Layer Multi-robot Path Planner based on Deep Multiple Dueling Network Agent. - Mingjun Zhao; Qichao Wu; Weiwei Zhao; Rui Lin (ROBIO, 2023)

BDA: Bandit-based Transferable AutoAugment. - Shan Lu; Mingjun Zhao; Songling Yuan; Xiaoli Wang 004; Lei Yang; Di Niu (SDM, 2023)

CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. - Mingjun Zhao; Mengzhen Wang; Yinglong Ma 001; Di Niu; Haijiang Wu (WWW, 2023)

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. - Jian Ma; Mingjun Zhao; Chen Chen 015; Ruichen Wang; Di Niu; Haonan Lu; Xiaodong Lin 004 (CoRR, 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; et al. (Nucleic Acids Res., 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 018 (Sensors, 2023)

Multi-task online allocation based on path planning strategy in Spatial crowdsourcing environment. - Yiduo Cheng; Xu Yuan; Dunhui Yu; Mingjun Zhao (CSCWD, 2024)

DimReg: Embedding Dimension Search via Regularization for Recommender Systems. - Mingjun Zhao; Liyao Jiang; Yakun Yu; Xinmin Wang; Yi Yuan; Zheng Wei; Di Niu (SDM, 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 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Time-Resolved Laser Speckle Contrast Imaging (TR-LSCI) of Cerebral Blood Flow. - Faraneh Fathi; Siavash Mazdeyasna; Dara Singh; Chong Huang 003; Mehrana Mohtasebi; Xuhui Liu; Samaneh Rabienia Haratbar; Mingjun Zhao; Li Chen; Arin Can Ulku; Paul Mos; Claudio Bruschini; et al. (IEEE Trans. Medical Imaging, 2025)