Sijing Tu
@sijingtu.bsky.social
110 followers 330 following 3 posts
I recently graduated from KTH Royal Institute of Technology. I work on (am interested in) social network analysis, approximation algorithms, information propagation dynamics, opinion formation dynamics.
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sijingtu.bsky.social
A very nice summary by Stefan of our recent publication "Optirefine: densest subgraphs and maximum cuts with k refinements". With @stefanresearch.bsky.social, Aleksa Stankovic, and @aris-gionis.bsky.social
Reposted by Sijing Tu
gautamkamath.com
Found slides by Ankur Moitra (presented at a TCS For All event) on "How to do theoretical research." Full of great advice!

My favourite: "Find the easiest problem you can't solve. The more embarrassing, the better!"

Slides: drive.google.com/file/d/15VaT...
TCS For all: sigact.org/tcsforall/
Reposted by Sijing Tu
Reposted by Sijing Tu
ccanonne.github.io
A little tired, so going back to one of my "favorite" results about Poisson random variables: Bennett-style concentration inequalities, both for upper and lower tails.

Now, why do I like it? Besides its usefulness, one of the proofs is really insightful and cute (IMO). (I didn't come up with it.)
The theorem, giving Bennett-type concentration bounds for Poisson random variables.
Reposted by Sijing Tu
tomgur.bsky.social
An advent calendar of some of my favourite TCS/Maths talks. Day #1: Avi Wigderson on Reading Alan Turing.

It is a gem of a talk, full of insights about Turing's work, writing style, and influences on mathematics and computer science. Pure joy!

www.youtube.com/watch?v=_Uk_...
Reading Alan Turing - Avi Wigderson
YouTube video by Institute for Advanced Study
www.youtube.com
Reposted by Sijing Tu
huckbennett.bsky.social
This conversation is the teaching version of a longstanding debate in TCS: is theory worthwhile per se, or should it always be motivated by applications? In the mid-90s, there was a famous debate about this between two pairs of TCS luminaries: blog.computationalcomplexity.org/2016/06/karp.... 1/
Reposted by Sijing Tu
nachristakis.bsky.social
Cool paper on political sorting in the US labor market, based on an inventive effort merging LinkedIn profiles with public voter files to create a panel of 35 million Americans with information about employment and political party registration. sahilchinoy.s3.us-west-1.amazonaws.com/chinoy_polit...
Reposted by Sijing Tu
nachristakis.bsky.social
Your friends have more friends than you do. This is known as the "friendship paradox."

But, thankfully, your enemies have more enemies than you do, too. In 2023, we called this the "enmity paradox." 1/
Reposted by Sijing Tu
aaroth.bsky.social
A quick thread on this short (3 page) paper appearing in SODA, giving a simple algorithm that makes predictions guaranteeing 2*Sqrt{T} "Distance to calibration" against an adversary. The result so simple I can describe it in thread. Joint with Eshwar, @ncollina.bsky.social, and Mirah:
aaroth.bsky.social
Here is a 3 page paper giving a super-simple deterministic online algorithm that guarantees 2√T distance to calibration. The analysis is only 1 page (the first 2 pages are chit chat). It has a "Follow the perturbed leader" flavor. arxiv.org/abs/2402.11410
sijingtu.bsky.social
Hi Chenchen, could you please kindly remove me from the list? Many thanks!
It seems I can not DM you; hence I am commenting here :)
Reposted by Sijing Tu
marckeuschnigg.bsky.social
We are hosting the 11th International Conference on Computational Social Science in Sweden
🚀The IC2S2'25 website is LIVE, and submissions are OPEN!
📍Norrköping | July 21-24, 2025
Call for Abstracts (until Feb 24)
Call for Tutorials (until Jan 17)
🔗Explore details & submit: ic2s2-2025.org