MR image resolution enhancement using a multi-layer neural network. - Hong Yan 001; Jingtong Mao; Benjamin Chen (CBMS, 1992)

Magnetic Resonance Image Segmentation Using Optimized Nearest Neighbor Classifiers. - Hong Yan 001; Jingtong Mao; Yan Zhu 004; Benjamin Chen (ICIP (3), 1994)

Power Compiler: A Gate-Level Power Optimization and Synthesis System. - Benjamin Chen; Ivailo M. Nedelchev (ICCD, 1997)

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. - Swapnil Hingmire; Irene Li; Rena Kawamura; Benjamin Chen; Alexander R. Fabbri; Xiangru Tang; Yixin Liu 003; Thomas George; Tammy Liao; Wai Pan Wong; Vanessa Yan; Richard Zhou; et al. (CoRR, 2021)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. - Irene Li; Thomas George; Alexander R. Fabbri; Tammy Liao; Benjamin Chen; Rina Kawamura; Richard Zhou; Vanessa Yan; Swapnil Hingmire; Dragomir R. Radev (CoRR, 2022)

Tracking sentiments toward fat acceptance over a decade on Twitter. - Sadie Bograd; Benjamin Chen; Ramakanth Kavuluru (Health Informatics J., 2022)

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. - Irene Li; Thomas George; Alexander R. Fabbri; Tammy Liao; Benjamin Chen; Rina Kawamura; Richard Zhou; Vanessa Yan; Swapnil Hingmire; Dragomir Radev (BEA@ACL, 2023)

Efficient methods of calculating the number of heapable permutations. - Benjamin Chen; Michael Cho; Mario Tutuncu-Macias; Tony Tzolov (Discret. Appl. Math., 2023)

On a Two-Layer Modular Arithmetic. - Benjamin Chen; Yu Li; Eugene Zima (ACM Commun. Comput. Algebra, 2023)

Dynamic Adaptation of Robotic Ankle-Foot Prostheses to Compliant Terrain: Reacting to Surface Stiffness Changes in Real-Time. - Charikleia Angelidou; Benjamin Chen; Panagiotis K. Artemiadis (ICORR, 2025)

No Reboot Required: Real-Time Modular Robot Payload Integration. - Jonathan Salfity; Corrie Van Sice; Benjamin Chen; Steven Swanbeck; Robert Blake Anderson; Mitch Pryor (UR, 2025)

Optimizing ML Training with Metagradient Descent. - Logan Engstrom; Andrew Ilyas; Benjamin Chen; Axel Feldmann; William Moses; Aleksander Madry (CoRR, 2025)