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Towards Learning Spatially Discriminative Feature Representations


Sep 03, 2021
Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang

* Accepted by ICCV2021 

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Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length


May 31, 2021
Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang


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Adaptive Focus for Efficient Video Recognition


May 07, 2021
Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang


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CondenseNet V2: Sparse Feature Reactivation for Deep Networks


Apr 09, 2021
Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian

* CVPR 2021 

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Dynamic Neural Networks: A Survey


Feb 10, 2021
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang


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Revisiting Locally Supervised Learning: an Alternative to End-to-end Training


Jan 26, 2021
Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

* Accepted by ICLR 2021 

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3D Object Detection with Pointformer


Dec 21, 2020
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang


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Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification


Oct 11, 2020
Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang

* Accepted by NeurIPS 2020 

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Regularizing Deep Networks with Semantic Data Augmentation


Jul 22, 2020
Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu

* Journal version of arXiv:1909.12220. Code is available at https://github.com/blackfeather-wang/ISDA-for-Deep-Networks 

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Meta-Semi: A Meta-learning Approach for Semi-supervised Learning


Jul 05, 2020
Yulin Wang, Jiayi Guo, Shiji Song, Gao Huang


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Resolution Adaptive Networks for Efficient Inference


Mar 24, 2020
Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang

* CVPR 2020 

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Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning


Mar 21, 2020
Wenjie Shi, Shiji Song, Zhuoyuan Wang, Gao Huang


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Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning


Mar 06, 2020
Rui Zhou, Shiji Song, Anke Xue, Keyou You, Hu Wu


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A selected review on reinforcement learning based control for autonomous underwater vehicles


Nov 27, 2019
Yachu Hsu, Hui Wu, Keyou You, Shiji Song


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Implicit Semantic Data Augmentation for Deep Networks


Sep 27, 2019
Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang

* Accepted by NeurIPS 2019 

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Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning


Sep 07, 2019
Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles


Sep 07, 2019
Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen

* IEEE Transactions on Neural Networks and Learning Systems 

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Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning


Sep 07, 2019
Wenjie Shi, Shiji Song, Cheng Wu

* to be published in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) 

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Depth Control of Model-Free AUVs via Reinforcement Learning


Nov 22, 2017
Hui Wu, Shiji Song, Keyou You, Cheng Wu


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3-D Velocity Regulation for Nonholonomic Source Seeking Without Position Measurement


Apr 24, 2015
Jinbiao Lin, Shiji Song, Keyou You, Cheng Wu

* submitted to IEEE TCST;12 pages, 10 figures 

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A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing


Sep 06, 2014
Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen

* 10 pages 

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