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Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement


May 01, 2021
Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan


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Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure


Apr 20, 2021
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

* This paper is a preprint that was accepted in CVPR'21. arXiv admin note: substantial text overlap with arXiv:2005.04366 

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Inference of cell dynamics on perturbation data using adjoint sensitivity


Apr 13, 2021
Weiqi Ji, Bo Yuan, Ciyue Shen, Aviv Regev, Chris Sander, Sili Deng

* Accepted as a workshop paper at ICLR 2021 SimDL Workshop 

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Noise Injection-based Regularization for Point Cloud Processing


Mar 28, 2021
Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan


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Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding


Feb 08, 2021
Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan

* AAAI-2021 

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NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection


Jan 08, 2021
Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan


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Towards Playing Full MOBA Games with Deep Reinforcement Learning


Dec 31, 2020
Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

* NeurIPS 2020 

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How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?


Dec 30, 2020
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

* 9 pages, 3 figures, Accepted by Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021) 

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Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings


Nov 25, 2020
Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang

* IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 

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Learning from a Complementary-label Source Domain: Theory and Algorithms


Aug 04, 2020
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu


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Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation


Jul 29, 2020
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

* This paper has been accepted by IJCAI-PRICAI 2020 

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Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density


Jun 27, 2020
Wei Wang, Gangqiang Hu, Bo Yuan, Shandong Ye, Chao Chen, YaYun Cui, Xi Zhang, Liting Qian


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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation


Jun 23, 2020
Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu


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Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition


May 09, 2020
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan


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Enabling Fast and Universal Audio Adversarial Attack Using Generative Model


Apr 26, 2020
Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan


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PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices


Apr 23, 2020
Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan


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Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems


Mar 04, 2020
Yi Xie, Cong Shi, Zhuohang Li, Jian Liu, Yingying Chen, Bo Yuan


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Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models


Feb 12, 2020
Xiao Zang, Yi Xie, Jie Chen, Bo Yuan

* Code is available at https://github.com/chisam0217/Graph-Universal-Attack 

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Embedding Compression with Isotropic Iterative Quantization


Jan 23, 2020
Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan


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CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator


Dec 16, 2019
Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan


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They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization


Sep 16, 2019
Rayan Mosli, Matthew Wright, Bo Yuan, Yin Pan


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A Critical Note on the Evaluation of Clustering Algorithms


Aug 10, 2019
Li Zhong, Tiantian Zhang, Bo Yuan

* 4 pages, 9 figures 

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CircConv: A Structured Convolution with Low Complexity


Feb 28, 2019
Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan

* Published in AAAI 2019 

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Representation Learning for Heterogeneous Information Networks via Embedding Events


Jan 29, 2019
Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao


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SGAD: Soft-Guided Adaptively-Dropped Neural Network


Jul 04, 2018
Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan

* 9 pages, 4 figures; the first two authors contributed equally 

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