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	Title	Author(s)	Issue Date
	Stochastic variance-reduced Hamilton Monte Carlo methods Proceeding/Conference:35th International Conference on Machine Learning, ICML 2018	Zou, DifanXu, PanGu, Quanquan	2018
	Characterization of a Practical Photon Counting Receiver in Optical Scattering Communication Proceeding/Conference:2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings	Zou, DifanGong, ChenWang, KunXu, Zhengyuan	2017
	Optical wireless scattering communication system with a non-ideal photon-counting receiver Proceeding/Conference:2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings	Zou, DifanGong, ChenXu, Zhengyuan	2017
	Performance of non-line-of-sight ultraviolet scattering communication under different altitudes Proceeding/Conference:2016 IEEE/CIC International Conference on Communications in China, ICCC 2016	Zou, DifanXu, ZhengyuanGong, Chen	2016
	Turbulence channel modeling and non-parametric estimation for optical wireless scattering communication Proceeding/Conference:2016 IEEE International Conference on Communication Systems, ICCS 2016	Wang, KunGong, ChenZou, DifanXu, Zhengyuan	2017
	Wavelength dependent channel characterization for underwater optical wireless communications Proceeding/Conference:2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014	Liu, WeihaoZou, DifanWang, PeilinXu, ZhengyuanYang, Liuqing	2014
	Generator Versus Segmentor: Pseudo-healthy Synthesis Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VI	This paper investigates the problem of pseudo-healthy synthesis that is defined as synthesizing a subject-specific pathology-free image from a pathological one. Recent approaches based on Generative Adversarial Network (GAN) have been developed for this task. However, these methods will inevitably fall into the trade-off between preserving the subject-specific identity and generating healthy-like appearances. To overcome this challenge, we propose a novel adversarial training regime, Generator v, YLi, CLin, XSun, LZhuang, YHuang, YDing, XLiu, XYu, Y	2021
	Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II	Zhang, RLiu, SYu, YLi, G	2021
	Multi-Source Weak Supervision for Saliency Detection Proceeding/Conference:Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2019	Zeng, YZhuge, YLu, HZhang, LQian, MYu, Y	2019
	Cross-view Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection Proceeding/Conference:IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2020 : proceedings	Liu, YZhang, FZhang, QWang, SWang, YYu, Y	2020
	Noise2Grad: Extract Image Noise to Denoise Proceeding/Conference:Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, 19-27 August 2021	Lin, HZhuang, YHuang, YDing, XLiu, XYu, Y	2021
	Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images	Liu, HLin, AHan, XYang, LYu, YCui, S	2021
	ME-PCN: Point Completion Conditioned on Mask Emptiness Proceeding/Conference:Proceedings: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2021)	Gong, BNie, YLin, YHan, XYu, Y	2021
	Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection Proceeding/Conference:Proceedings: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2021)	CHEN, CZheng, ZLi, JDing, XHuang, YYu, Y	2021
	Multi-scale Matching Networks for Semantic Correspondence Proceeding/Conference:Proceedings: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2021)	Zhao, DSong, ZJi, ZZhao, GGe, WYu, Y	2021
	GraphFPN: Graph Feature Pyramid Network for Object Detection Proceeding/Conference:Proceedings: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2021)	ZHAO, GGe, WYu, Y	2021
	ConvNets vs. Transformers: Whose Visual Representations are More Transferable? Proceeding/Conference:Proceedings: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2021)	ZHOU, HLu, CYang, SYu, Y	2021
	Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning	He, YLiang, WZhao, DZhou, HGe, WYu, YZhang, W	2022
	Disentangling Disease-related Representation from Obscure for Disease Prediction Proceeding/Conference:Proceedings of the 39th International Conference on Machine Learning (PMLR)	Wang, CGao, FZhang, FZhong, FYu, YWang, Y	2022
	Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms Proceeding/Conference:Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2019	Zhang, FLuo, LSun, XZhou, ZLi, XYu, YWang, Y	2019