Joining NeurIPS in consecutive 5 years. Love to have coffee chats and meet-ups during Dec 2 - Dec 5! Also, we are hiring interns for next summer on LLM and VLM projects at @amazon . Ping me if you are interested! #NeurIPS2025
Happy to join the 10k+ AI researchers community again in Vancouver 🇨🇦. 4th time at @NeurIPSConf and 1st time in Canada. Excited to meet friends and future-friends here. Feel free to come to me and let’s have a coffee chat! #deeplearning#LLMs#physics#bioimaging#computervision
🎉 Excited to share that I’ve successfully defended my PhD in Computer Science at @UCIbrenICS !
Endless thanks to my advisor Pierre Baldi and committee members Xiaohui Xie & Jianming Bian. Grateful to my family and friends. Onward to new adventures!
#PhD#MachineLearning
Hi, I am seeking one student for PhD in 25 Fall. Anyone passionate about HCI research with a focus on HEALTH is welcome to apply and reach out. Please email me your CV and brief descriptions of your preferred research topics, with the subject [PhD Application]. #hci#PHD
MLPs are so foundational, but are there alternatives? MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN! We propose Kolmogorov-Arnold Networks (KAN), which are more accurate and interpretable than MLPs.🧵
It was a great pleasure to present the progress of Deep-learning Event Reconstruction in DUNE Far Detector on behalf of the @DUNEScience Collaboration. Thank @BrookhavenLab for the invitation of the 2nd Wire-Cell Reconstruction Summit. Brilliant people and fabulous works!
Gave a talk, “AI in Ophthalmology”, together with my advisor Pierre Baldi at Vision Research Mixer Symposium. Many thanks to my collaborators and UCI Gavin Herbert Eye Institute 👁️.
One of the projects we presented has been published at: https://t.co/Bi13qnzuxv
Spent a fantastic week at @Fermilab for the collaboration meeting. This is a place I wanted to visit since I was a child. Glad to have the opportunity as a PhD student now ☺️
New paper just posted!
Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation
Led by Junze Liu and @Aishik_Ghosh_
https://t.co/97AeK0DJJx