On 3d Face Attributes Analysis Using Deep Learning: A Preliminary Case Study on Gender and Ethnicity Recognition. - Yicheng Fan; Qijun Zhao; Daning Wang (IPMV, 2020)

Neural Structured Learning: Training Neural Networks with Structured Signals. - Arjun Gopalan; Da-Cheng Juan; Cesar Ilharco Magalhaes; Chun-Sung Ferng; Allan Heydon; Chun-Ta Lu; Philip Pham; George Yu; Yicheng Fan; Yueqi Wang (WSDM, 2021)

CARLS: Cross-platform Asynchronous Representation Learning System. - Chun-Ta Lu; Yun Zeng; Da-Cheng Juan; Yicheng Fan; Zhe Li; Jan Dlabal; Yi-Ting Chen; Arjun Gopalan; Allan Heydon; Chun-Sung Ferng; Reah Miyara; Ariel Fuxman; et al. (CoRR, 2021)

Attributed Text Generation via Post-hoc Research and Revision. - Luyu Gao; Zhuyun Dai; Panupong Pasupat; Anthony Chen; Arun Tejasvi Chaganty; Yicheng Fan; Vincent Y. Zhao; Ni Lao; Hongrae Lee; Da-Cheng Juan; Kelvin Guu (CoRR, 2022)

RARR: Researching and Revising What Language Models Say, Using Language Models. - Luyu Gao; Zhuyun Dai; Panupong Pasupat; Anthony Chen; Arun Tejasvi Chaganty; Yicheng Fan; Vincent Y. Zhao; Ni Lao; Hongrae Lee; Da-Cheng Juan; Kelvin Guu (ACL (1), 2023)

LayerNAS: Neural Architecture Search in Polynomial Complexity. - Yicheng Fan; Dana Alon; Jingyue Shen; Daiyi Peng; Keshav Kumar; Yun Long; Xin Wang 016; Fotis Iliopoulos; Da-Cheng Juan; Erik Vee (CoRR, 2023)

A Distributed Coalition Selection of Distribution Centers for Delivery Stations. - Fan Wu; Ming Yu; Jingya Zhang; Yicheng Fan; Ming Li 011 (IEEE Access, 2025)