Publications (6)
Room-Temperature High On/Off Ratio in Suspended Graphene Nanoribbon Field Effect Transistors
Ming-Wei Lin, Cheng Ling, Yiyang Zhang +6
We have fabricated suspended few layer (1-3 layers) graphene nanoribbon field effect transistors from unzipped multiwall carbon nanotubes. Electrical transport measurements show th…
Generative Recommender with End-to-End Learnable Item Tokenization
Enze Liu, Bowen Zheng, Cheng Ling +3
Generative recommendation systems have gained increasing attention as an innovative approach that directly generates item identifiers for recommendation tasks. Despite their potent…
Modeling User Fatigue for Sequential Recommendation
Nian Li, Xin Ban, Cheng Ling +6
Recommender systems filter out information that meets user interests. However, users may be tired of the recommendations that are too similar to the content they have been exposed…
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
Bowen Zheng, Zihan Lin, Enze Liu +5
Nowadays, reading or writing comments on captivating videos has emerged as a critical part of the viewing experience on online video platforms. However, existing recommender system…
Electrical Transport Properties of Graphene Nanoribbons Produced from Sonicating Graphite in Solution
Cheng Ling, Gabriel Setzler, Ming-Wei Lin +7
A simple one-stage solution-based method was developed to produce graphene nanoribbons by sonicating graphite powder in organic solutions with polymer surfactant. The graphene nano…
Approaching the Intrinsic Bandgap in Suspended High-Mobility Graphene Nanoribbons
Ming-Wei Lin, Cheng Ling, Luis A. Agapito +6
We report electrical transport measurements on a suspended ultra-low-disorder graphene nanoribbon(GNR) with nearly atomically smooth edges that reveal a high mobility exceeding 300…