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Your "Labrador" is My "Dog": Fine-Grained, or Not

Nov 18, 2020
Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo


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DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference

Nov 17, 2020
Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo


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Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

Oct 11, 2020
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo


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Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields

Oct 07, 2020
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue

* Accept as EMNLP-findings 2020 

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SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification

Sep 13, 2020
Junhui Yin, Jiayan Qiu, Siqing Zhang, Zhanyu Ma, Jun Guo


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ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification

Jun 27, 2020
Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo

* IEEE TCSVT 2020 

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Attention-guided Context Feature Pyramid Network for Object Detection

May 23, 2020
Junxu Cao, Qi Chen, Jun Guo, Ruichao Shi


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OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

Apr 20, 2020
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo

* TIP 2020. Code available at https://github.com/dongliangchang/OSLNet 

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Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization

Mar 19, 2020
Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo

* Technical Reports 

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Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building

Mar 12, 2020
Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Jun Guo


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Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches

Mar 10, 2020
Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo


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Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

Mar 10, 2020
Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo


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Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology

Mar 10, 2020
Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo


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A Video Analysis Method on Wanfang Dataset via Deep Neural Network

Feb 28, 2020
Jinlong Kang, Jiaxiang Zheng, Heng Bai, Xiaoting Xue, Yang Zhou, Jun Guo


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Fine-Grained Instance-Level Sketch-Based Video Retrieval

Feb 21, 2020
Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song


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The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

Feb 11, 2020
Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song


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Scalable NAS with Factorizable Architectural Parameters

Dec 31, 2019
Lanfei Wang, Lingxi Xie, Tianyi Zhang, Jun Guo, Qi Tian

* 10 pages, 4 figures 

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Wasserstein Collaborative Filtering for Item Cold-start Recommendation

Sep 10, 2019
Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu


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PMD: A New User Distance for Recommender Systems

Sep 10, 2019
Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen


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Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents

May 17, 2019
Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue

* accepted by NAACL 2019 

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Self-Supervised Convolutional Subspace Clustering Network

May 01, 2019
Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin

* 10 pages, 2 figures, and 5 tables. This paper has been accepted by CVPR2019 

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Pre-training of Context-aware Item Representation for Next Basket Recommendation

Apr 14, 2019
Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen


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On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models

Feb 13, 2019
Zhanyu Ma, Jalil Taghia, Jun Guo

* Technical Report 

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Impacts of Weather Conditions on District Heat System

Aug 02, 2018
Jiyang Xie, Zhanyu Ma, Jun Guo

* Technical Report 

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SEA: A Combined Model for Heat Demand Prediction

Jul 28, 2018
Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo


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BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint

Jul 08, 2018
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo


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Constrained Sparse Subspace Clustering with Side-Information

May 22, 2018
Chun-Guang Li, Junjian Zhang, Jun Guo

* 8 pages, 2 figures, and 3 tables. This work has been accepted by ICPR 2018 as oral presentation 

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SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

Apr 04, 2018
Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo

* Accepted by CVPR2018 

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Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions

Feb 27, 2018
Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang


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