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	Title	Author(s)	Issue Date	Views
	Optical rogue waves in the non-line-of-sight scattering and turbulence channels Proceeding/Conference:2020 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2020	Li, ShangbinGong, ChenHuang, BoyangZou, DifanWang, KunXu, Zhengyuan	2020
	Non-line-of-sight scattering channel modeling for underwater optical wireless communication Proceeding/Conference:2015 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015	Liu, WeihaoZou, DifanXu, ZhengyuanYu, Jiancheng	2015
	Improving the NLOS optical scattering channel via beam reshaping Proceeding/Conference:Conference Record - Asilomar Conference on Signals, Systems and Computers	Zou, DifanLi, Shang BinXu, Zhengyuan	2015	2
	Subsampled stochastic variance-reduced gradient langevin dynamics Proceeding/Conference:34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018	Zou, DifanXu, PanGu, Quanquan	2018	5
	A Comprehensive Accuracy Analysis of Visible Light Positioning under Shot Noise Proceeding/Conference:2020 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2020	Liu, XiaonaZou, DifanHuang, NuoZhang, Sha	2020
	An improved analysis of training over-parameterized deep neural networks Proceeding/Conference:Advances in Neural Information Processing Systems	Zou, DifanGu, Quanquan	2019	2
	Stochastic gradient hamiltonian monte carlo methods with recursive variance reduction Proceeding/Conference:Advances in Neural Information Processing Systems	Zou, DifanXu, PanGu, Quanquan	2019	1
	Two-dimensional Intensity Distribution and Connectivity in Ultraviolet Ad-Hoc Network Proceeding/Conference:IEEE International Conference on Communications	Qi, HongZou, DifanGong, ChenXu, Zhengyuan	2020
	Layer-dependent importance sampling for training deep and large graph convolutional networks Proceeding/Conference:Advances in Neural Information Processing Systems	Zou, DifanHu, ZiniuWang, YewenJiang, SongSun, YizhouGu, Quanquan	2019	2
	Sampling from non-log-concave distributions via stochastic variance-reduced gradient Langevin dynamics Proceeding/Conference:AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics	Zou, DifanXu, PanGu, Quanquan	2020
	Global convergence of Langevin dynamics based algorithms for nonconvex optimization Proceeding/Conference:Advances in Neural Information Processing Systems	Xu, PanZou, DifanChen, JinghuiGu, Quanquan	2018
	Stochastic variance-reduced Hamilton Monte Carlo methods Proceeding/Conference:35th International Conference on Machine Learning, ICML 2018	Zou, DifanXu, PanGu, Quanquan	2018	3
	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
	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
	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
	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	5
	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	11
	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	3