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Yue Yu

PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation


Apr 26, 2021
Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian

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* The technique report for PanGu-$\alpha$ 
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deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search


Mar 24, 2021
Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao

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* 32 pages 
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Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws


Dec 08, 2020
Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia

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Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach


Oct 20, 2020
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang

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DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks


Oct 18, 2020
Dennis Wei, Tian Gao, Yue Yu

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* 40 pages, 8 figures, to appear at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 
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SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup


Oct 05, 2020
Rongzhi Zhang, Yue Yu, Chao Zhang

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* EMNLP 2020 
 * EMNLP 2020 Long Paper 
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MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning


Oct 05, 2020
Lu Zhang, Mo Yu, Tian Gao, Yue Yu

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* Accepted Findings of EMNLP2020 
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SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization


Oct 04, 2020
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao

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BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision


Jun 28, 2020
Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang

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* Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20) 
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STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths


Jun 18, 2020
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang

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* KDD 2020 Research Track Full Paper 
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Data-driven learning of robust nonlocal physics from high-fidelity synthetic data


May 17, 2020
Huaiqian You, Yue Yu, Nathaniel Trask, Mamikon Gulian, Marta D'Elia

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* 32 pages, 10 figures, 3 tables 
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Urban Anomaly Analytics: Description, Detection, and Prediction


Apr 25, 2020
Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, Yu Zheng

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* Accepted by IEEE Transactions on Big Data 
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SPAN: A Stochastic Projected Approximate Newton Method


Mar 03, 2020
Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yitan Li, Linyun Yu, Yue Yu, Lei Li

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* Appeared in the AAAI 2020, 25 pages, 6 figures 
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Modeling Long-Range Context for Concurrent Dialogue Acts Recognition


Sep 02, 2019
Yue Yu, Siyao Peng, Grace Hui Yang

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GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection


Apr 23, 2019
Yue Yu, Yilun Zhu, Yang Liu, Yan Liu, Siyao Peng, Mackenzie Gong, Amir Zeldes

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* Proceedings of Discourse Relation Parsing and Treebanking (DISRPT2019) 
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DAG-GNN: DAG Structure Learning with Graph Neural Networks


Apr 22, 2019
Yue Yu, Jie Chen, Tian Gao, Mo Yu

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* ICML2019. Code is available at https://github.com/fishmoon1234/DAG-GNN 
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Exploring Fast Algorithms for Composite Optimization with Serial and Asynchronous Realizations


Sep 06, 2018
Yue Yu, Longbo Huang

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Optimal Cooperative Inference


Jan 25, 2018
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto

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* 16 pages (5 pages of Supplementary Material), 1 figure 
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Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization


May 22, 2017
Yue Yu, Longbo Huang

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