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Abstract: Presolve plays an important role in linear and mixed-integer programming optimization solvers. Effective presolvers can reduce model size significantly, detect infeasibility or unboundedness quickly, and tighten bounds of columns and rows. In this talk, design and implementation of some effective and practical presolve techniques for linear programming will be discussed.   Biography: Longfei Wang is an engineer in Shenzhen Research Institute of Big Data. He has worked as an algorithm expert in AI department of Cainiao Network. He received master and bachelor degree from Peking Un…

Abstract: With the potential of enabling the massive device connection and enhancing the spectrum efficiency, non-orthogonal multiple access (NOMA) has been considered as a promising technology for the sixth generation (6G) wireless communication networks. The key idea of NOMA is to allow signals of different users to be superimposed on each other at the same time and on the same frequency. To extract intended messages, a receiver applies successive interference cancellation (SIC) to separate signals from different users. In this talk, we consider a fundamental problem for multi-cell NOMA sys…

Abstract: In Modern campus, smart devices such as cell phones are popular. The data generated by smart devices can help tackle some challenging issues such as preventing suicide and reducing dropout rates. In addition, campus data can help improving facility usage and university policy making. In this talk, I will discuss our Research and Development on applications based on campus big data.   Biography: Dr. Jianjun Zhou received his Ph.D. degree in computing science from University of Alberta, his B.S. degree in computer science and technology from University of Science and Technology of…

竞赛简介   5G新技术架构的引入和业务场景的多样性给智能化网络运维 (AIOps) 带来了新的挑战。无线网络故障根因定位是网络运维中的一个重要环节，通过快速且准确地判断出网络故障的根因，技术人员可以及时采取措施对网络进行修复。然而，现网经常受困于复杂的无线通信环境和网络部署结构，且存在网络故障样本数少、不同的场景下故障表征差异性大等问题。如何充分利用领域知识和一小部分标定数据，使用统计学习和因果推断技术，快速准确地定位故障的根因，是网络运维面临的巨大挑战。   为了加深学界对此类工业问题的理解，促进学界在此问题上的研究，香港中文大学（深圳）-深圳市大数据研究院-华为未来网络系统优化创新实验室联合在ICASSP 2022旗舰国际会议上组织举办本次竞赛。   本次竞赛使用业务场景数据集，包括领域专家提供的网络故障因果图。数据集中涵盖一系列工业应用实际难题，包括在少标签样本和有数据缺失的情况下进行高效时间序列分析和因果推断等，亟待具有不同专业背景的国内外学者和研究员共同解决！   ICASSP（International Conference on Acoustics, Speech and Signal Processing）是全世界最大的，也是最全面的融合信号处理、统计学习、及无线通信的综合性顶级会议。ICASSP-2022将于5月22日-27日在新加坡举行。…

报告主题： Learning Theory of Deep Neural Networks 报告嘉宾： 林绍波教授（西安交通大学） 报告时间： 9月9日（星期四）10:00-11:00 参与方式： 加入 Zoom 会议 https://cuhk-edu-cn.zoom.com.cn/j/99970274588?pwd=Tk0wUnlwSk1LWWlSWXo5UUQzWTRuQT09 会议号：999 7027 4588 密码：681114 报告简介:  Deep learning has attracted enormous research activities in the past decade. In this talk, we focus on theoretically demonstrating the power of depth, the role of massive data and the existence of a perfect global minima of ERM on deep ReLU nets. In particular, we derive optimal error bounds for running ERM on deep ReLU nets for numerous types of data. Our mai…

Topic: Best Laid Plans: Economic Consequences of Shadow Banking Crackdown   Time & Date: 10:00 -11:00, Monday, March 29, 2021   Speaker: Dr. Bo Jiang   Join Zoom Meeting: https://cuhk-edu-cn.zoom.com.cn/j/93743990446?pwd=ZkpwdnJJOEpGL0tOWUF4RFB6dE1iQT09   Zoom Meeting ID: 937-4399-0446   Password: 123456   Abstract:   This paper studies the impact of shadow banking regulation on the financial system and the real economy. For identification, I exploit a policy – “New Asset Management Rules'' (NAMR) – that restricts the issuance of wealth management products (WMPs) used to sup…

Time & Date: 10:00 -11:00, ,Monday, January 11, 2021 Speaker: Dr. Shipei Zeng Join Zoom Meeting： https://cuhksz.zoom.com.cn/j/64582511292?pwd=TTBoUTBmcDlFeHRySk9LMnZhMy9vQT09 Meeting ID：645-8251-1292 Password： 123456   Abstract: Productivity dynamics occur when firms enter and exit a market. Contributions from firms to industry productivity can be decomposed into effects from entrants, exiters and incumbents. As opposed to productivity dynamics, productivity can also be decomposed into explanatory factors regarding efficiency and technical progress. These two patterns of decomposit…

Time & Date: 15:30 -18:00, Saturday, January 16, 2021  Speaker: Dr. Di Dong  Join VooV Meeting(腾讯会议)： https://meeting.tencent.com/s/it0XcyTqgHRp Meeting ID：112-590-684   Abstract:   近年来人工智能技术的迅速发展和医学影像数据的急剧增长催生了医学领域影像组学的发展。影像组学将医学影像大数据转化为可挖掘的定量化特征，利用新兴的人工智能技术并融合基因、临床等多元信息在临床上进行疾病的辅助诊断、疗效评估和预后预测。影像组学源于临床问题，利用多种临床数据构建诊疗模型，最终又能回归临床指导应用，具有极大的应用前景，目前已是最受关注的研究热点和前沿方向之一，国际上与影像组学相关的研究论文也呈现逐年快速增长的趋势。本报告围绕影像组学这一热点技术，从临床应用案例和关键技术两个方面进行介绍，希望抛转引玉，吸引国内更多的临床和科研人员共同开展影像组学技术及其应用的研究。    Biography:   董迪，工学博士，国家优青，中国科学院自动化研究所副研究员，中国科学院青年创新促进会会员，北京癌症防治学会胃癌防治专业委员会常务委员。在肿瘤影像组学方向开展了长期的研究工作，提高了影像辅助肿瘤诊疗…