最 新 消 息
关 于 龙 星
课 程 简 介
教 师 信 息
课 件 下 载
服 务 指 南
赞 助 单 位
最 新 消 息

邢波老师致广大学员的一封信(2010-10-26)

        

Dear Students, 


It has been a great experience to work with you during the 5-day Dragon Star lectures. I truly appreciate that you have attended all the lectures with patience and enthusiasm, and I am glad most you have enjoyed and liked the lectures. As a teacher, your approval and support are the highest honor I can enjoyed in my career.  I got many questions from you on how to be a good researcher, bellow are some words I wrote to a student i don't personally know who asked me the same question through email a few years ago. Hopefully this complement Fei-Fei's excellent essay on how to do good research.


.... as general advices on students interested in pursue a serious science career, I think the following are important:


1) know exactly what your goal is, what is your strength and your weakness, both technical and mental, as they are equally important for success. 
Set you goal and plan your moves accordingly.

2) don't wait if you really believe a change is needed. It is never too late to change career course if the change is serious and a full dedication for the new course is committed. The amount of time wasted in waiting is often longer than the time needed to clinch the new life. For me, I was once at the bottom of my new career because I nearly knew nothing of machine learning when I changed major, but I knew I would love it because of its beauty and power. It took me 5 years starting from that point to 
become a professor of machine learning at CMU.

3) you need to work extremely hard. In my graduate and professional career, I worked on average 12 hours per day and 7 days per week, with high concentration and efficiency. (Of course, as I mentioned in our evening chat, I personally do not actually view such activities as "work", they are fun and exciting, as much as, or better than other entertainments.) 

4) you work hard not because you are pushed by your boss, but because you are inspired and you love what you do. Indeed, I often told my students and friends that I "LIVE" my research rather than doing my research. I enjoy doing it more than watching TV and playing card, etc.

5) you can still live a colorful life and be energetic. I am big sports and music fun, and love to do many other things, and I enjoy being with my friends and family.  So I waist no time idling. Whenever I am not working, I play or exercise hard, and be with my family and friends.

6) you need to train yourself to be very creative, and very independent. Honestly almost all the research ideas in my graduate study were not from my advisors, but from myself; what I got from my advisors at Berkeley were moral support, inspiration on research style and taste, sense of honest and pride, and their friendship.

7) being informed of the latest progress in your research area. It is not unusual to read 1 thousand papers per year. Basically, to be on top of the field you need to know EVERYTHING of your field, and in many cases many related fields. 

8) when breaking new grounds, on the one hand, you need to respect the intelligence of the authorities in the fields, don't assume they are stupid and you are smarter, and always ask why they do not do the same as what you want to do years ago. On the other hand, when you can convince yourself that you indeed gain an insight that those authorities had not, you should have the courage to surpass them.

9) Being versatile and flexible. Many problems and techniques are related, don't hand yourself on a single tree.

10) It is never a bad thing to be a perfectionist and idealist in research. It is absolutely important to have an optimistic character, and to be physically fit and strong. It is very stupid to assume that one can work less because others are less smart. The truth is that, most of the top researchers I know of are not only extremely smart, but also work long hours and are efficient. So even physically you need to have means to compete. I myself used to be a semi-professional athlete when I was in college, and
even now I have no problem consistently working/playing harder and longer than my students 10+ years younger than my age. 

11) learn the art of communication. Be ready to discuss and share your ideas with your colleagues and competitors. Learn from not only your colleagues, but also from your competitors. 

12) Most importantly, be honest, open, patient, happy, and far-sighted, rather than being sneaky, isolated, anxious, bitter, and short-sighted. 

Finally, I wish all of you happy and prosperous in the years to come. 

Best regards,
Eric


龙星计划课程 电子版证书下载(2010-08-16)

        龙星计划机器学习电子版证书已经上传到网站,申请过结业证书的同学,请到以下网站下载
        http://bcmi.sjtu.edu.cn/ds/cert/***.png  下载时请将***替换为自己的中文名字。
        比如“张三”的证书就是http://bcmi.sjtu.edu.cn/ds/cert/张三.png

龙星计划课程 8月14日研讨会通知(2010-08-11)

        龙星计划机器学习课将于8月14日,18:30~21:00,在徐汇校区工程馆212举行研讨会,人数160人。请希望参会的老师同学向组委会登记,并按时出席,具体地点见示意图。

龙星计划课程 分组名单(2010-08-11)

        龙星计划机器学习课程相分组名单公示,共10组,每组一个助教,一位班长。具体分组情况详见  分组名单,请大家查询并记好自己的分组。

龙星计划 课程更新通知(2010-08-9)

        龙星计划机器学习课程相关课件已经上传,请通过“课件下载”频道进行下载,建议做好课前预习。

        为发布课程相关通知,方便大家交流,开通龙星计划,机器学习课程论坛,http://bcmi.sjtu.edu.cn/Forum/index.asp,请大家随时关注。

        龙星计划机器学习课程,GoogleGroup也已开通,请收到邀请的同学确认加入,没有收到的同学可以访问http://groups.google.com/group/dragonstar_machinelearning加入。


龙星计划《机器学习》课程参会统计(2010-07-24)

        本次龙星计划机器学习课程,受到全国各大高校,研究机构与企业的广泛关注。截止至今日,本次龙星计划课程总报名人数已达238人。
        参会人员主要以高校与研究机构为主,也不乏来自企业及其它单位的参加人员。其中有204人次来自全国各大高校,24人次来自研究院,10人次来自企业研发中心及其它单位,而参会人员的学历与职称分布也相当广,自本科学生至博士生,从助教到教授都有覆盖。
        具体统计信息见下图表。


龙星计划《机器学习》课程介绍(2010-06-30)

        龙星计划——计算机科学技术学术交流系列活动,是一个杰出的海外华人教授回国系统讲授研究生课程的计划。由国家自然科学基金委员会资助,龙星计划委员会负责。
        龙星计划课程——《机器学习》由上海交通大学和复旦大学联合承办,由卡耐基梅隆大学的邢波博士和斯坦福大学的李飞飞博士担任讲师,将于8月12日至16日在上海交通大学徐汇校区浩然高科大厦102开课。

        联系人:吕宝粮  教授  (上海交通大学)
        电子邮件:blu AT cs DOT sjtu DOT edu DOT cn

        联系人: 薛向阳  教授  (复旦大学)
        电子邮件:xyxue AT fudan DOT edu DOT cn