主講人簡介🙍♀️：
盧宏濤，現為上海交通大學計算機系教授。研究方向為機器學習、模式識別、計算機視覺和復雜網絡等等🌘。在國內外學術期刊和頂級會議發表論文100多篇🥓，發表的論文SCI他引1200多次🤏🏿#️⃣，Google他引3000多次。連續入選2014🌤、2015年Elsevier計算機科學中國高被引學者榜單。入選2005年教育部新世紀優秀人才計劃👨👨👦👦，2003年上海市曙光學者🧚🏿♀️。獲兩項省級自然科學和科技進步二等獎。主持863項目、國家自然基金項目（4項）等多項。
講座內容簡介：
Hashing is a technique for large-scale image retrieval, which represents images as compact binary codes so that the storage can be reduced and similarity computation can be significantly accelerated. In this talk, I’d like to present some of our works for image hashing in recent years which include the natural supervised hashing, the online self-organization hashing etc..
Deep learning has recently achieved great success in many fields such as speech recognition and computer vision, and has so attracted much attention from academic and industry communities. In this talk, I will present some of our recent researches on computer vision based on deep learning. The first is a method for click-through-rate (CTR) prediction in display advertising based on convolutional neural networks. The second is deep learning methods for large scale scene classification. I will also give some examples of deep learning based applications in computer vision such as activity recognition and face detection.
