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THE Benchmark: Transferable Representation Learning for Monocular Height Estimation


Dec 30, 2021
Zhitong Xiong, Wei Huang, Jingtao Hu, Yilei Shi, Qi Wang, Xiao Xiang Zhu


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Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems


Nov 30, 2021
Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang

* Submitted, under review 

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Semantic-Aware Generation for Self-Supervised Visual Representation Learning


Nov 25, 2021
Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye

* 13 pages, 5 figures, 11 tables 

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On the Equivalence between Neural Network and Support Vector Machine


Nov 11, 2021
Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Deep Active Learning by Leveraging Training Dynamics


Oct 16, 2021
Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He


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Long-tailed Distribution Adaptation


Oct 06, 2021
Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye

* Accepted in acm mm2021 

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Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification


Sep 17, 2021
Wei Huang, Chen Liu, Yihua Zhao, Xinyun Yang, Zhaoming Pan, Zhimin Zhang, Guiquan Liu


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Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking


Jul 31, 2021
Jingxian Sun, Lichao Zhang, Yufei Zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang

* Accepted at ACM MM 2021. Code and models are available at https://github.com/zhanglichao/cmdTIRtracking 

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Heterogeneous network-based drug repurposing for COVID-19


Jul 20, 2021
Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng

* 5 pages, 3 figures, ICLR 2021 MLPCP 

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Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective


Jun 22, 2021
Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari


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Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles


Jun 02, 2021
Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang

* Accepted by the AISafety'21 Workshop at IJCAI-21. To appear in a volume of CEUR Workshop Proceedings 

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Conformer: Local Features Coupling Global Representations for Visual Recognition


May 09, 2021
Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao, Qixiang Ye

* submitted to iccv2021 

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PD-GAN: Probabilistic Diverse GAN for Image Inpainting


May 05, 2021
Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao

* Accepted by CVPR 2021 

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Detecting Operational Adversarial Examples for Reliable Deep Learning


Apr 16, 2021
Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang

* Preprint accepted by the fast abstract track of DSN'21 

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Advanced Deep Networks for 3D Mitochondria Instance Segmentation


Apr 16, 2021
Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong

* 4 pages, 3 figures 

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Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information


Mar 24, 2021
Wei Huang, Richard Combes, Cindy Trinh

* 23 pages 

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DeFLOCNet: Deep Image Editing via Flexible Low-level Controls


Mar 23, 2021
Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bing Jiang, Wei Liu

* Accepted by CVPR2021 

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Sequential Random Network for Fine-grained Image Classification


Mar 12, 2021
Chaorong Li, Malu Zhang, Wei Huang, Fengqing Qin, Anping Zeng, Yuanyuan Huang


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Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss


Mar 03, 2021
Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen

* 23 pages, 4 figures 

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Fairness and Accuracy in Federated Learning


Dec 18, 2020
Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang


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Implicit bias of deep linear networks in the large learning rate phase


Dec 16, 2020
Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu

* 19 pages, 7 figures 

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Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics


Oct 16, 2020
Wei Huang, Yifan Zhou, Youcheng Sun, Alec Banks, Jie Meng, James Sharp, Simon Maskell, Xiaowei Huang


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Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers


Oct 16, 2020
Wei Huang, Xingyu Zhao, Xiaowei Huang


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Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations


Jul 14, 2020
Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang

* Accepted by ECCV2020(oral) 

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On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization


Apr 28, 2020
Wei Huang, Weitao Du, Richard Yi Da Xu

* 16 pages, 5 figures 

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Mean field theory for deep dropout networks: digging up gradient backpropagation deeply


Jan 29, 2020
Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao

* 20 pages, 7 figures 

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Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems


Dec 19, 2019
Wei Huang, Richard Yi Da Xu

* 8 pages, 5 figures 

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