Yang Chen (YC) Lin

Researching architectural experience, social issues, and human-AI co-design through cog comp neurosci & HCI - drawing inspiration from everyday.

[Yang Chen (YC) Lin @ycl_yc]

Come to our #CHI2025 poster at booth #68 today around 10:30 AM - 11:10 AM & 3:40 PM - 4:20 PM
at the Late-breaking Work: AI for Design and Interaction section !!!

[Yang Chen (YC) Lin @ycl_yc]

At #CHI2025, we ask how to design AI-aided design tools that incorporate human data into the design process?

Shaping the Future of Architectural Design Tools Through HCI Paradigms and Collective Human-Machine Intelligence. (1/5)

#Architecture #Design #Neuroscience #HCI #AI

[Trends in Cognitive Sciences @TrendsCognSci]

Rethinking reciprocity

Feature Review by Sarah Mathew & Robert Boyd
Free access before August 26: https://t.co/UuTaE6kZ9m

[Jean-Rémi King @JeanRemiKing]

Two major announcements for the #DigitalBrainProject:

🥇9 teams were selected in the first round

🚀we’re scaling the funding to $15M

More details below 👇:
https://t.co/cVHzpLykJV

[CogCompNeuro @CogCompNeuro]

CCN began at Columbia in 2017. As #CCN2026 returns to NY, a special Back2NY event will feature a crowd-sourced panel discussion on how the community has grown, prior challenges, and future perspectives.

Share your experiences in the community survey: https://t.co/24RYQb1Czg

[Emily Jin @emilyzjin]

During long-horizon task planning, a robot must decide what to do, while ensuring each action is geometrically feasible.

To this end, we propose 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗶𝗻𝘁𝗲𝗿𝗹𝗲𝗮𝘃𝗲𝗱 𝘃𝗶𝘀𝗶𝗼𝗻-𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀.

[Trends in Cognitive Sciences @TrendsCognSci]

Geographical psychology: Spatial variation in psychological phenomena and their consequences

Review by Peter J. Rentfrow, Tobias Ebert, & Friedrich M. Götz (@FriedrichMGoetz)
https://t.co/3WcrkxkwGm

[ℏεsam @Hesamation]

Anthropic almost AVOIDS hiring juniors unless they have a PhD. and only ~13% of their employees have PhD, most have years of careers behind them.

[Yang Chen (YC) Lin @ycl_yc]

🥹

[Kate Deyneka @katedeyneka]

I'm a very visual person. when I was first getting into ML, I'd try to draw out every concept on pen and paper.

back then I couldn't vibe-code a visualization. but now you can!

here are my favorite ML visualizations I've been saving for a while. take them as inspo for the next complex topic you want to visualize 🧵

[Nature Human Behaviour @NatureHumBehav]

Thalamic oscillations distinguish natural states of consciousness in humans https://t.co/vH5bG8CjNz

[Nature Human Behaviour @NatureHumBehav]

Domain generality is an emergent, not inherent, property of metacognition https://t.co/txXAkt6RH0

[Jean-Rémi King @JeanRemiKing]

✨🧠 Tribe v2, our latest model of human brain responses to sound, sight and language can now be (partly) explored on your phone📱:

▶️demo: https://t.co/HWjugwzZBQ
📄paper: https://t.co/ULxUDnHn6Q
💻code: https://t.co/J7PXaxvdKt

[Dmytro Mishkin 🇺🇦 @ducha_aiki]

ArchSym: Detecting 3D-Grounded Architectural Symmetries in the Wild

Hanyu Chen @ruojin8 Steve Marschner @Jimantha
tl;dr: dataset + finetuned VGGT for symmetry detection
https://t.co/LY3cNHZuZG

[Lujain Ibrahim @lujainmibrahim]

🚨Very excited to see our work on warmth & sycophancy in LLMs out in @Nature today!🚨

We study what happens when LLMs are fine-tuned to be warmer, and find that warmth and sycophancy can be linked, with warm models showing higher errors on a range of benchmarks (🔗s below)

[Michael W. Cole @TheColeLab]

Why do our visual systems have “shortcut” connections (V1-V4)? What do they add beyond the classic hierarchical (V1-V2-V3-V4) pathway?

The lab’s latest study takes activity flow modeling to the next level to answer these questions

https://t.co/XFk3EzXFYS
1/n

[Predictive Neuroscience Lab @spisaktamas]

The brain’s “default mode” and “action mode” networks are two sides of the same attractor.

Encoding a macro-scale Bayesian prior that biases processing toward internal or external drive.

[Tom Dörr @tom_doerr]

Real-time 3D dynamic scene graph generation

https://t.co/tT2fCbjp32

[Jean-Rémi King @JeanRemiKing]

💫 Introducing NeuralSet:
a simple, fast, scalable Python package for Neuro-AI

📦 pip install neuralset
📄 https://t.co/OkSTKRlwwy
🔍 https://t.co/rHOZuvU2tk

Supports
🧠 fMRI, EEG, MEG, ECoG, spike… preprocessing
💬 text 🔊 audio ▶️ video 🏞️ image… embeddings

🧵 Details👇

[ICLR @iclr_conf]

ICLR 2026 is almost there! We have 6 exciting keynotes covering a range of areas from machine learning to robotics, neuroscience and AI for science:

Maja Matarić, Max Welling, Percy Liang, Katie Bouman, Karen Adolph, Pablo Arbeláez

See you all soon! #ICLR2026

[Trends in Cognitive Sciences @TrendsCognSci]

The cognitive origins of geometry

Opinion by @Moira_Dillon

Free access before May 26: https://t.co/YbYPvwYjTI

[CogCompNeuro @CogCompNeuro]

Interested in sponsoring or exhibiting at CCN 2026?

CCN 2026 at New York University (August 3–6) brings together researchers across cognitive science, neuroscience, and AI. We invite partners and sponsors to contribute to this conversation.

Packages: https://t.co/z9Wtk995dO

[Yang Chen (YC) Lin @ycl_yc]

Read more in our preprint:https://t.co/2EPiL0Liv3

[Yang Chen (YC) Lin @ycl_yc]

Excited to share our work at #CHI26 👇
“AIDED: Augmenting Interior Design with Human Experience Data for Designer–AI Co-Design”
w/ Chen-Ying Chien, Kai-Hsin Hou, Hung-Yu Chen & Po-Chih Kuo (NTHU HMI Lab)
🗓 Apr 16 | 📍 Barcelona

🔗https://t.co/21OjIrvuOR
(1/🧵)

[Yang Chen (YC) Lin @ycl_yc]

If you're interested in:
#HCI #GenerativeAI #Design #NeuroArchitecture
Come say hi at CHI26 👋
(10/🧵)