Peax : Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning. - Fritz Lekschas; Brant Peterson; Daniel Haehn; Eric Ma; Nils Gehlenborg; Hanspeter Pfister (Comput. Graph. Forum, 2020)

Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. - Arian R. Jamasb; Ramón Viñas Torné 001; Eric Ma; Yuanqi Du; Charles Harris; Kexin Huang; Dominic Hall; Pietro Lió; Tom L. Blundell (NeurIPS, 2022)

Dose-dependent thresholds of dexamethasone destabilize CAR T-cell treatment efficacy. - Alexander Byers Brummer; Xin Yang; Eric Ma; Margarita Gutova; Christine E. Brown; Russell C. Rockne (PLoS Comput. Biol., 2022)

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. - Hang Jiang; Xiajie Zhang; Robert Mahari; Daniel T. Kessler; Eric Ma; Tal August; Irene Li; Alex Pentland; Yoon Kim; Deb K. Roy; Jad Kabbara (ACL (1), 2024)

Enhancing nnUNetv2 Training with Autoencoder Architecture for Improved Medical Image Segmentation. - Yichen An; Zhimin Wang; Eric Ma; Hao Jiang; Weiguo Lu (HNTS-MRG@MICCAI, 2024)

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models. - Sejoon Oh; Yiqiao Jin; Megha Sharma; Donghyun Kim; Eric Ma; Gaurav Verma; Srijan Kumar (CoRR, 2024)