New publications, news updates, and BetaDBs paper preprint

db/publications.json

@@ -1,4 +1,19 @@
 [
+  {
+    "title" : "Query Log Compression for Workload Analytics",
+    "authors" : [
+        "Ting Xie",
+        "Varun Chandola",
+        "Oliver Kennedy"
+    ],
+    "venue" : "pVLDB",
+    "projects" : ["insider-threats"],
+    "year" : 2018,
+    "length" : 12,
+    "urls" : {
+      "preprint" : "https://odin.cse.buffalo.edu/papers/2018/submitted/VLDB-LogCompression.pdf"
+    }
+  },
   {
     "title" : "Learning From Query-Answers: A Scalable Approach to Belief Updating and Parameter Learning",
     "authors" : [

src/news/2018-08-23-CongratsToGraduates.md

@@ -3,8 +3,12 @@ title: Congratulations Graduates
 author: Oliver Kennedy
 ---
 
-Congratulations to the ODIn Lab's two newest alumni: Gokhan Kul and Gourab Mitra.
+Congratulations to the ODIn Lab's ~two~ three newest alumni: Gokhan Kul and Gourab Mitra *and Lisa Lu*.
 
 Gokhan will be starting at [Delaware State University](https://cmnst.desu.edu/about) as an Assistant Professor.
 
-Gourab starts at [Datometry](https://datometry.com/) today (yesterday?).
+Gourab starts at [Datometry](https://datometry.com/) today (yesterday?).
+
+#### update Sept 15:
+
+... and Lisa starts at Wells Fargo 

src/news/2018-10-16-TODS-and-VLDB.md

@@ -0,0 +1,11 @@
+---
+title: Papers in VLDB 2019 and TODS
+author: Oliver Kennedy
+---
+
+Two new fantastic publications out of the ODIn Lab.
+
+First, Niccolò Meneghetti's SIGMOD 2017 paper "Learning From Query-Answers: A Scalable Approach to Belief Updating and Parameter Learning," written in collaboration with Wolfgang Gatterbauer was invited as a "Best of SIGMOD" paper to ACM TODS.  This paper has now been accepted ([preprint here](https://odin.cse.buffalo.edu/papers/2018/TODS-BetaDBs.pdf)).
+
+Next up, Ting Xie got a new VLDB 2019 paper: [Query Log Compression for Workload Analytics](https://odin.cse.buffalo.edu/papers/2018/submitted/VLDB-LogCompression.pdf).  The paper explores techniques for compactly encoding lossy summaries of query logs for use in optimizers and workload analytics.
+