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	Title	Author(s)	Issue Date
	Don’t Tamper with Dual System Encryption: Beyond Polynomial Related-Key Security of IBE Proceeding/Conference:The 20th International Conference on Applied Cryptography and Network Security, (ACNS 2022)	Yuen, THZhang, CChow, SSM	2022
	Stratified Transformer for 3D Point Cloud Segmentation Proceeding/Conference:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	Lai, XLIU, JJiang, LWang, LZhao, HLiu, SQi, XJia, J	2022
	cosFormer: Rethinking Softmax In Attention Proceeding/Conference:International Conference on Learning Representations	Zhen, QSun, WDeng, HLi, DWei, YLv, BYan, JKong, LZhong, Y	2022
	The Benefits of Implicit Regularization from SGD in Least Squares Problems Proceeding/Conference:Advances in Neural Information Processing Systems	Zou, DifanWu, JingfengBraverman, VladimirGu, QuanquanFoster, Dean P.Kakade, Sham M.	2021
	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
	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
	Stochastic gradient hamiltonian monte carlo methods with recursive variance reduction Proceeding/Conference:Advances in Neural Information Processing Systems	Zou, DifanXu, PanGu, Quanquan	2019
	An improved analysis of training over-parameterized deep neural networks Proceeding/Conference:Advances in Neural Information Processing Systems	Zou, DifanGu, Quanquan	2019
	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
	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
	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
	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
	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
	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
	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
	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