Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm. - Sun-Yuan Kung; Zejiang Hou; Yuchen Liu 002 (ICASSP, 2019)

Rethinking Class-Discrimination Based CNN Channel Pruning. - Yuchen Liu 002; David Wentzlaff; Sun-Yuan Kung (CoRR, 2020)

Content-Aware GAN Compression. - Yuchen Liu 002; Zhixin Shu; Yijun Li 001; Zhe Lin 001; Federico Perazzi; Sun-Yuan Kung (CVPR, 2021)

Evolving Transferable Pruning Functions. - Yuchen Liu 002; Sun-Yuan Kung; David Wentzlaff (CoRR, 2021)

3D-FM GAN: Towards 3D-Controllable Face Manipulation. - Yuchen Liu 002; Zhixin Shu; Yijun Li 001; Zhe Lin 001; Richard Zhang 001; Sun-Yuan Kung (ECCV (15), 2022)

Evolving transferable neural pruning functions. - Yuchen Liu 002; Sun-Yuan Kung; David Wentzlaff (GECCO, 2022)

Class-Discriminative CNN Compression. - Yuchen Liu 002; David Wentzlaff; Sun-Yuan Kung (ICPR, 2022)

Building Efficient Neural Prefetcher. - Yuchen Liu 002; Georgios Tziantzioulis; David Wentzlaff (MEMSYS, 2023)

Personalized Residuals for Concept-Driven Text-to-Image Generation. - Cusuh Ham; Matthew Fisher; James Hays; Nicholas I. Kolkin; Yuchen Liu 002; Richard Zhang 001; Tobias Hinz (CVPR, 2024)

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. - Zhengang Li; Yan Kang; Yuchen Liu 002; Difan Liu; Tobias Hinz; Feng Liu 015; Yanzhi Wang (CVPR, 2024)

ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration. - Yongsheng Yu; Haitian Zheng; Zhifei Zhang; Jianming Zhang 001; Yuqian Zhou; Connelly Barnes; Yuchen Liu 002; Wei Xiong 008; Zhe Lin 001; Jiebo Luo 001 (CoRR, 2025)

X-Fusion: Introducing New Modality to Frozen Large Language Models. - Sicheng Mo; Thao Nguyen; Xun Huang; Siddharth Srinivasan Iyer; Yijun Li 001; Yuchen Liu 002; Abhishek Tandon; Eli Shechtman; Krishna Kumar Singh; Yong Jae Lee; Bolei Zhou; Yuheng Li (CoRR, 2025)