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MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping

Jan 21, 2021
Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei


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Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction

Dec 14, 2020
Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu

* MICCAI 2020 

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Multi-agent Trajectory Prediction with Fuzzy Query Attention

Oct 29, 2020
Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu

* NeurIPS 2020 Camera-ready version. Code: https://github.com/nitinkamra1992/FQA 

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Partial FC: Training 10 Million Identities on a Single Machine

Oct 11, 2020
Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu

* 8 pages, 9 figures 

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Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation

Oct 09, 2020
Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu


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MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion

Sep 23, 2020
Zehan Zhang, Ming Zhang, Zhidong Liang, Xian Zhao, Ming Yang, Wenming Tan, ShiLiang Pu

* 8 pages, 6 figures 

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RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation

Sep 01, 2020
Zhidong Liang, Ming Zhang, Zehan Zhang, Xian Zhao, Shiliang Pu


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Augmented Bi-path Network for Few-shot Learning

Jul 15, 2020
Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang


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EasyQuant: Post-training Quantization via Scale Optimization

Jun 30, 2020
Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang


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Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration

Jun 05, 2020
Ming Zhang, Yawei Wang, Xiaoteng Ma, Li Xia, Jun Yang, Zhiheng Li, Xiu Li


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When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications

May 24, 2020
Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang


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Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases

May 11, 2020
Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang

* 10 pages, 3 Figures, submitted to AMIA Annual Symposium 

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A Graph to Graphs Framework for Retrosynthesis Prediction

Mar 28, 2020
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang


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GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Feb 27, 2020
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang

* Published at ICLR 2020 

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Learning to Answer Ambiguous Questions with Knowledge Graph

Dec 25, 2019
Yikai Zhu, Jianhao Shen, Ming Zhang


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Predictive Multi-level Patient Representations from Electronic Health Records

Nov 12, 2019
Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang


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PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction

Nov 09, 2019
Yichun Yin, Chenguang Wang, Ming Zhang

* 6 pages, 1 figure, 3 tables 

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Learning to Customize Language Model for Generation-based dialog systems

Oct 31, 2019
Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang


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Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation

Oct 14, 2019
Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

* 4 pages, 2 figures, Accept by CINC 2019 

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Towards Open-Domain Named Entity Recognition via Neural Correction Models

Sep 13, 2019
Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang


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A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units

Sep 11, 2019
Ming Zhang, Yiming Chen, Xiangyu Xu, Mingyang Li


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Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning

Jun 22, 2019
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang


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Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction

Mar 20, 2019
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang

* 10 pages, 2 figures, under review of AMIA annual symposium 

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Combating Fake News: A Survey on Identification and Mitigation Techniques

Jan 18, 2019
Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu

* ACM Transactions on Intelligent Systems and Technology, 2019 

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Efficient Spiking Neural Networks with Logarithmic Temporal Coding

Nov 10, 2018
Ming Zhang, Nenggan Zheng, De Ma, Gang Pan, Zonghua Gu


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AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Oct 29, 2018
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang

* 9 pages, 7 figures 

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Theory of Generative Deep Learning : Probe Landscape of Empirical Error via Norm Based Capacity Control

Oct 03, 2018
Wendi Xu, Ming Zhang

* 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems 

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Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution

Oct 03, 2018
Wendi Xu, Ming Zhang

* 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems 

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