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YouRefIt: Embodied Reference Understanding with Language and Gesture


Sep 08, 2021
Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang

* ICCV 2021 

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CIM: Class-Irrelevant Mapping for Few-Shot Classification


Sep 07, 2021
Shuai Shao, Lei Xing, Yixin Chen, Yan-Jiang Wang, Bao-Di Liu, Yicong Zhou


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Exploring and Improving Mobile Level Vision Transformers


Aug 30, 2021
Pengguang Chen, Yixin Chen, Shu Liu, Mingchang Yang, Jiaya Jia

* 10 pages; 5 figures; preprint 

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A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues


Jul 19, 2021
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley Fritz, Michael Avidan, Yixin Chen, Christopher King


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Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report


May 17, 2021
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui

* Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/. arXiv admin note: substantial text overlap with arXiv:2105.08630; text overlap with arXiv:2105.07825, arXiv:2105.07809, arXiv:2105.08629 

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Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report


May 17, 2021
Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang

* Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/ 

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Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare


May 14, 2021
Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li


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(Un)fairness in Post-operative Complication Prediction Models


Nov 03, 2020
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher R. King


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LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities


Jul 31, 2020
Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-chun Zhu


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Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning


Jun 11, 2020
Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu

* ICML 2020. Project page: https://liqing-ustc.github.io/NGS 

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DEPARA: Deep Attribution Graph for Deep Knowledge Transferability


Mar 17, 2020
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song

* Accepted by CVPR2020 (oral) 

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PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points


Dec 16, 2019
Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu

* NeurIPS 2019 

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Deep Model Transferability from Attribution Maps


Oct 14, 2019
Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song

* Accepted by NeurIPS 2019 

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Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense


Sep 04, 2019
Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu

* Accepted by ICCV 2019 

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A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room


Jul 29, 2019
Zhicheng Cui, Bradley A Fritz, Christopher R King, Michael S Avidan, Yixin Chen

* Accepted for publication in AMIA 2019 Annual Symposium 

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Graph Neural Lasso for Dynamic Network Regression


Jul 25, 2019
Yixin Chen, Lin Meng, Jiawei Zhang


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Estimating Feature-Label Dependence Using Gini Distance Statistics


Jun 05, 2019
Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen


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D-VAE: A Variational Autoencoder for Directed Acyclic Graphs


May 30, 2019
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen


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Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network


Apr 26, 2019
Muhan Zhang, Yixin Chen


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Link Prediction Based on Graph Neural Networks


Sep 05, 2018
Muhan Zhang, Yixin Chen

* Accepted by NIPS 2018, to appear 

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Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning


Nov 03, 2016
Qiang Lyu, Yixin Chen, Zhaorong Li, Zhicheng Cui, Ling Chen, Xing Zhang, Haihua Shen

* 16 pages, 4 figures 

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Multi-Scale Convolutional Neural Networks for Time Series Classification


May 11, 2016
Zhicheng Cui, Wenlin Chen, Yixin Chen


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Compressing Convolutional Neural Networks


Jun 14, 2015
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen


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Compressing Neural Networks with the Hashing Trick


Apr 19, 2015
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen


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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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SAS+ Planning as Satisfiability


Jan 18, 2014
Ruoyun Huang, Yixin Chen, Weixiong Zhang

* Journal Of Artificial Intelligence Research, Volume 43, pages 293-328, 2012 

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Theory and Algorithms for Partial Order Based Reduction in Planning


Jun 27, 2011
You Xu, Yixin Chen, Qiang Lu, Ruoyun Huang


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