n******t
发帖数: 4406 | 1 呵呵，我闪了，你们自个义愤填膺吧。。
还有，就我这么多年的经验，一个人的loser程度，和这个人叫别人loser的次数成正相
关，你自己慢慢体会吧。。 |
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d******e
发帖数: 7844 | 2 呵呵，又来这套了。
实在是只能说，你父母很loser。
你缺失的是高等教育以前的家庭教育。
我几乎不说别人loser，你是个例外。
按我的经验，我说你loser,你还真不是一般的loser |
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z1
发帖数: 389 | 3 装逼你不嫌累得慌？
你当年在8区粪坑里面混的时候谁不知道你是什么货色？
后来溜到ebiz辛辛苦苦做二手贩子，就你这副怂样就老老实实做孙子别招人恶心了。 |
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n******t
发帖数: 4406 | 5 哈哈，居然还把你这个屁都不懂的垃圾给引过来了。
我去ebiz干嘛？卖你？那也赚不了钱啊。。 |
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n******t
发帖数: 4406 | 6 你也够可怜的，还给z1这种人帮腔。。。
俺是会她贴都觉得掉价。呵呵。 |
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b*****y
发帖数: 44 | 8 Well, these are not secret.
U Mich in Real-time Embedded systems, Kang Shin's student, Stankovic's postdoc.
His area is new for HKUST CS.
U Waterloo in DB, his boss is VLDB or SIGMOD's chair? I guess he's the
replacement for Lu Hongjun.
Zhang Qian, well, combination of multimedia and wireless. Fairly senior already
We also recruited a VAP in the system architecture area, Ph.D from
Purdue and stayed in Intel for several years. |
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s***e
发帖数: 284 | 9 主页上说推后几天通知，等吧
今年好像CIKM也很compatitive，知道不少牛人把前面SIGMOD和VLDB刷下来的
干脆都投了这个。 |
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s******n
发帖数: 240 | 11 be modest.
yixiu is watering everywhere, such as SODA, ESA, PODC, SIGMOD, etc
Check "Intro To Algo" section 9.3 selection in worst-case linear time |
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S*******t
发帖数: 97 | 12 thanks, much lower would be much easier for me :)
How long does the review take usually? Half a year?
And how about the cost and page limit? I cannot
find any related info on the website... thank you!! |
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i******y
发帖数: 70 | 13 There is no such journal dedicated to XML. You might consider database
related conferences such as SIGMOD/VLDB/ICDE/EDBT, PODS/ICDT, WWW, or
journals such as TODS, TKDE, or even programming language conferences.
However, given the huge amount of published work on XML and number of
researchers worked on this topic, you'd better check the literature more
carefully. |
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s****d
发帖数: 56 | 14 GPUQP: Query Co-Processing Using Graphics Processors
Rui Fang, HKUST; Mian Lu, HUST; Naga Govindaraju, Microsoft; Qiong Luo*,
HKUST; Pedro Sander, HKUST
EaseDB: A Cache-Oblivious In-Memory Query Processor
Bingsheng He*, HKUST; Yinan Li, Peking University; Qiong Luo, HKUST;
Dongqing Yang, Peking University
Query-Based Monitoring of BPEL Business Processes
Tova Milo*, Tel Aviv University; Catriel Beeri, Hebrew University; Anat Eyal
,
Tel Aviv University; Alon Pilberg, Tel Aviv University |
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i****c
发帖数: 102 | 15 where can find the accpeted paper list?
thanks
Eyal |
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i******y
发帖数: 70 | 16 Not out yet. They are pretty slow this year. |
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j*******c
发帖数: 95 | 18 reviewer提了一堆意见
怎么写feedback啊 |
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j*******c
发帖数: 95 | 20 没有feedback应该就是中了吧。
让feedback的就是给个机会argue一下把。可是老板想不开啊。 |
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s*******y
发帖数: 558 | 21 不是说feedback 二月一号才开始么
怎么现在就开始了 |
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M********h
发帖数: 59 | 22 have you tried to submit your paper to conferences like
SIGMOD and VLDB? How familiar are you with the
literature of DB?
The turnaround time of journal is by no means fast.
Especially if you don't have previous publications,
it is hard to get in. |
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d******e
发帖数: 7844 | 23 LZ这种文章应该发到PODS或者TODS上，SIGMOD/VLDB基本都是搞数据库应用的，不是搞数
据库理论的。
如果是非常非常非常好的文章，还可以投Journal of ACM甚至是Science。 |
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c****r
发帖数: 185 | 24 Westin Bayshore Hotel, $219/day。
Or any other hotel within walking distance.
Please contact me by email c******[email protected] if interested.
Thanks. |
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d******e
发帖数: 7844 | 25 ICML是有Poster的。
目前除了Sigmod，没几个是会议是全Oral的。
看样子你现在应该再做流形学习，这个方向还有些潜力可挖，多努努力，发两篇期刊问
题不大。
比如Pattern Recognition这个档次的，相对还是容易的，和同影响因子的TIP和TNN比
，审稿流程更简单，审稿事件也更短。
a
but
oral |
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c***a
发帖数: 655 | 26 sigmod has demo session too |
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x*j
发帖数: 271 | 27 我们领域如果能搞个4篇sigmod/vldb的一作的估计也差不多了吧. |
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v******d
发帖数: 1322 | 28 也可以阿, 弄个匿名的网站啥的
现在sigmod开始搞这个了, 交paper同时交程序 |
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d******e
发帖数: 7844 | 29 感觉没什么用，Sigmod也是走走形式，没人仔细看代码的。 |
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d******e
发帖数: 7844 | 30 你如果是做数据库的，想做Faculty，怎么也该有篇SIGMOD吧
TKDE应该是没有人看的，而且你这篇Top Journal也应该是ICDE文章的长文章吧。
当然，牛校除外。你ICDE要是备受好评的OralPresentation除外。 |
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x*j
发帖数: 271 | 31 我也问一下我的情况吧， top 40 school(close to 40)，database. 一作TODS， 一作
VLDB，二作sigmod各一篇，tods paper不是vldb的长文章。准备中一作3篇非一作3篇但
可能等不及了。 老板assistant professor，db新新人类里比较牛的。不知道多大的希
望找faculty。 |
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e*****m
发帖数: 58 | 32 做bioinf的人有来自不同领域的人，一般也都参考原领域的好journal, 好的会议当然也
算。由于隔行隔领域，不同领域里的人看法会有偏差。比如cs的人也许知道bioinforma
tics比biostatistics, biometrics多些。但做生统/统计的人认为biostat, biometric
s要比Bioinformatics好很多。做的东西有些杂，也慢慢才知道这些。列一些我知道相关
的top杂志或conference (for computational methodology or theory)
CS
conferences: ICML, NIPS, SIGMOD, VLDB, KDD, ijcai, AAAI, UAI, RECOMB, ISMB,
PSB
Journal: JMLR, TKDE,
stat:
JASA, JRSS-B, Biometrika, Annals 系列, Biostat., biometrics
Genetics: nature genetics, AJHG, Genetics, Genetic Epidemiology
Bioinf |
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d******e
发帖数: 7844 | 33 以IR为主的貌似SIGIR算是Top，其他的很多都只能算是Rank 1
还有很多其他Top会议也和IR有关,Data Mining相关的有KDD，机器学习相关的有ICML。
数据库也有不少把，SIGMOD,ICDE都有人做IR的东西。
IR还是很杂的。 |
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n***l
发帖数: 1468 | 34 各位前辈, 能否给指引指引,
在Database,特别是data mining领域, 哪些会议算是一流, 哪些算是二流, 哪些会是很
容易中(用来粉饰resume)?
www, vldb, kdd, sdm, sigmod, pods, SIGIR, pakdd, icde, icdm, more and more..
.... |
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l******e
发帖数: 470 | 35 将弄出个电子的journal（但不是真正意义的journal），但审稿程序和journal基本一
样。
有若干conf参加这个journal（目前只有vldb，以后可能sigmod等等）
你只需要投paper到这个journal，如果被accept了，参加的conf会从中选paper做
presentation。
好处：一年可以有多次submit的机会，不用赶deadline。
可以response reviewer，象journal一样，不会使得有好思想的paper因为有缺点被
reject。而且审稿应该会更仔细，提高文章质量。
坏处：。。。 |
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z*y
发帖数: 1311 | 38
Just ask, did your group ever get into sigmod before? |
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l****a
发帖数: 192 | 39 For instance, the data cube paper by Jim Gray was rejected by conferences
like SIGMOD, and finally accepted by ICDE, which at that time was not that
selective. |
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p**n
发帖数: 261 | 40 Our improvement over previous methods is from several times to 100 times faster.
Reviewer A's main reason for rejection is like "The result is spurious, too good to be true".
Reviewer B's main reason for rejection is like "The improvement is insignificant, considering the simplicity of the previous method".
Yet none of them ever changd any word in their reviews, based on our feedback.
Sigmod reviewers are really pathetic! |
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l*********r
发帖数: 674 | 41 岂止sigmod，现在很多会都是这样，reviewer就是为了据而据。现在要中一篇paper更
多是看你的运气，能不能同时碰到3个认真的reviewer。而且我感觉这种趋势这两年还
越来越明显，最近两年我的好几篇paper都是被无厘头地据了，前几年都没有碰到过这
么多恶心的事情。以前还想毕业后进acdemic，现在义无反顾地投向工业界。
faster.
too good to be true".
insignificant, considering the simplicity of the previous method".
feedback. |
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y***u
发帖数: 101 | 42 Yes we all have had reviewers like this. And indeed, many reviewers just
want
to kill your paper. So from my experience to get a paper into sigmod you
need:
1. Luck
2. Prove the superiority of your new method, instead of just showing the
experimental results. Experimental results can be easily attacked: the
data is not right, you didn't implement the old method right, you didn't
implement yours right, bla bla bla
3. If you can't do 2, give very good intuitive reasons why your method is |
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t*s
发帖数: 1504 | 43 is sigmod double blind
faster.
too good to be true".
insignificant, considering the simplicity of the previous method".
feedback. |
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l******e
发帖数: 470 | 44 现在的趋势是paper审的越来越不认真。对写作的要求越来越高，而technical
comtribution和conceptual contribution却不那么重要。reviewer 不是努力找优点来
accept，而是努力找缺点来reject。一篇有solid contribution的paper可能因为几个
typo被拒，而一篇很一般的paper却因为写的不错而收了。和theory community正好相
反。
岂止sigmod，现在很多会都是这样，reviewer就是为了据而据。现在要中一篇paper更
多是看你的运气，能不能同时碰到3个认真的reviewer。而且我感觉这种趋势这两年还
越来越明显，最近两年我的好几篇paper都是被无厘头地据了，前几年都没有碰到过这
么多恶心的事情。以前还想毕业后进acdemic，现在义无反顾地投向工业界。
faster.
too good to be true".
insignificant, considering the simplicity of the previous method".
feedback. |
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x*j
发帖数: 271 | 45 Same here. Too hard to get a good
reviewer. It seemed to me that in general VLDB's review is better than
SIGMOD's. |
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s****i
发帖数: 216 | 47 弱了, 我刚才又看了下, 发现他家db好像很强, 年轻教授跟着在sigmod, VLDB上发了
蛮多文章,
另外我觉得做ML的也有一个不错, 好像是单挑流, 写文章都自己搞的多. 也部分在
AAAI, nips上发表,
由于本人不甚了解,研究经历不多, 理解或许有失偏颇. |
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s****i
发帖数: 216 | 49 弱了, 我刚才又看了下, 发现他家db好像很强, 年轻教授跟着在sigmod, VLDB上发了
蛮多文章,
另外我觉得做ML的也有一个不错, 好像是单挑流, 写文章都自己搞的多. 也部分在
AAAI, nips上发表,
由于本人不甚了解,研究经历不多, 理解或许有失偏颇. |
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r**t
发帖数: 937 | 50 看了一眼，香港，新加坡，几个researc lab，都是大户，别人都只能分点零碎了..... |
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