Haiting Wang

PhD student at Imperial College London

[OPTIML PSE @OptimlPse]

As the dust settles from #AIChEAnnual, we reflect on the discussions on sustainability and AI advancements and how they showcased the possibilities ahead. Excited to infuse these insights into our research endeavors! @ImperialChemEng #ChemEng #Innovation

[OPTIML PSE @OptimlPse]

That brings an end to #ESCAPE33 with @AntonioE89 presenting work from @Savage_Tom, a presentation from Miguel and posters from @DamienvandeBer1, @HaitingWang2, and Luxi. We will see everyone next year!

[OPTIML PSE @OptimlPse]

Some lovely photos of group members @HaitingWang2 @KotechaNiki and Abdullah Bahamdan enjoying the @NewtonInstitute week on Data-Driven Engineering @TuringChiefSci @AntonioE89

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

5 AI-powered apps to supercharge your literature review process in 2023 (with my free tutorials):

[Stat.ML Papers @StatMLPapers]

Convexifying Transformers: Improving optimization and understanding of transformer networks. (arXiv:2211.11052v1 [cs.LG]) https://t.co/RJrea6O3sb

[Lauren Ball @ProfLaurenBall]

Very useful! How to write scientific article: Step by step guide for beginners 👏

https://t.co/1T6yqQHzkr

#phd #research #researcher #AcademicTwitter @AcademicChatter

[Stat.ML Papers @StatMLPapers]

What is an equivariant neural network?. (arXiv:2205.07362v2 [cs.LG] UPDATED) https://t.co/BhJbSqR5En

[Mark Tenenholtz @marktenenholtz]

You should always work on improving your model evaluation skills.

Model evaluation is the worst taught skill in machine learning, and I believe the best way of improving is through practice.

But, this paper from @rasbt is by far my favorite single written resource:

[Sanju Sinha @Sanjusinha7]

A lot of Machine Learning (ML) I learned during my Ph.D. was from youtube. I didn't have a guide to do this effectively and thus here it is:

A complete guide to studying ML from youtube: 13 best and most recent ML courses available on YouTube. 👩‍🏫🧵⤵️

[PREMIERE - UKRI-funded Research Programme @PREMIERE_UKRI]

📢 Please join us for our upcoming #PREMIERE webinar, "#Bayesian #optimization and #design of #experiments" by @RuthMisener.
🗓️ Wednesday 19th Oct 2022
⏲️ 14:00 (Europe/London)
https://t.co/CAkpI0SLx0
#MachineLearning #DataScience #PREMIERE_Event
@ICComputing @ImperialChemEng

[OPTIML PSE @OptimlPse]

A few weeks ago we saw group members present at the @sargent_centre PSE Research Day. Congrats to everyone for the great research!

[Francesco Pochetti @Fra_Pochetti]

Pretty neat repo with a bunch of algos implemented from scratch for learning purposes.
From ML, to Computer Vision, to more standard Computer Science techniques.

👉 https://t.co/K72t75IhWL

[清順 夏コミ土曜日 南2f34b @seijyun09]

めちゃくちゃカッコ良くして下さっております
凄すぎる…

[Toby Driscoll @tobydriscoll]

Forgot to tweet the online location: https://t.co/JLEg0gEUEY

[Jean de Dieu Nyandwi @Jeande_d]

DeepMind & UCL Deep Learning Lecture Series

12 lectures on different deep learning algorithms and techniques in natural language processing, vision, generative modeling, etc...

All lectures and presentations are free and you can take them at your pace.

https://t.co/lj53ZSAlXZ

[Steven Sachio @StevenSachio1]

Our latest paper on using reinforcement learning to ingetrate process design and control is out! with @MaxMowbray3, @maria_papathan, @AntonioE89, and @Pnosapp.

Free access is available to view and download the paper until 15th July 2022 from: https://t.co/ChKyta4xjO

[Haiting Wang @HaitingWang2]

@AntonioE89 @KontoravdiC @StevenSachio1 @EMakrydaki Thanks Antonio！！🥳 We didn't find you in the office🤣Let's do it three years later！🥳

[Haiting Wang @HaitingWang2]

@basilsheep @ImperialChemEng Very lovely to graduate with Basil！😘😊😊

[Haiting Wang @HaitingWang2]

@KontoravdiC @StevenSachio1 @EMakrydaki Thanks Cleo！！😘😘

[Haiting Wang @HaitingWang2]

Big surprise from my love😍😍Then back to work together...🤣🤯