Zhiqing Sun
Zhiqing Sun
Language Technologies Institute, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Cited by
Cited by
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Z Sun, ZH Deng, JY Nie, J Tang
International Conference on Learning Representations (ICLR), 2019
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou
2020 Annual Conference of the Association for Computational Linguistics, 2020
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Y Lu, Z Li, D He, Z Sun, B Dong, T Qin, L Wang, TY Liu
arXiv preprint arXiv:1906.02762, 2019
Fast Structured Decoding for Sequence Models
Z Sun, Z Li, H Wang, D He, Z Lin, Z Deng
Advances in Neural Information Processing Systems, 3011-3020, 2019
A Re-evaluation of Knowledge Graph Completion Methods
Z Sun, S Vashishth, S Sanyal, P Talukdar, Y Yang
2020 Annual Conference of the Association for Computational Linguistics, 2019
Rethinking Transformer-based Set Prediction for Object Detection
Z Sun, S Cao, Y Yang, K Kitani
International Conference on Computer Vision (ICCV) 2021, 2020
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
X Xu, W Feng, Y Jiang, X Xie, Z Sun, ZH Deng
International Conference on Learning Representations (ICLR), 2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Z Sun, J Tang, P Du, ZH Deng, JY Nie
International ACM SIGIR Conference on Research and Development in …, 2019
An EM Approach to Non-autoregressive Conditional Sequence Generation
Z Sun, Y Yang
Thirty-seventh International Conference on Machine Learning (ICML), 2020
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
Z Sun, ZH Deng
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference
ALY Hung, Z Sun, W Chen, J Galeotti
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021
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