Adaptive Variance for Changing Sparse-Reward Environments. - Xingyu Lin; Pengsheng Guo; Carlos Florensa; David Held (ICRA, 2019)

Learning to Branch for Multi-Task Learning. - Pengsheng Guo; Chen-Yu Lee; Daniel Ulbricht (ICML, 2020)

MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. - Chen Huang 001; Shuangfei Zhai; Pengsheng Guo; Josh M. Susskind (CVPR, 2021)

GAUDI: A Neural Architect for Immersive 3D Scene Generation. - Miguel Ángel Bautista 001; Pengsheng Guo; Samira Abnar; Walter Talbott; Alexander Toshev; Zhuoyuan Chen; Laurent Dinh; Shuangfei Zhai; Hanlin Goh; Daniel Ulbricht; Afshin Dehghan; Joshua M. Susskind (NeurIPS, 2022)

Fast and Explicit Neural View Synthesis. - Pengsheng Guo; Miguel Ángel Bautista 001; Alex Colburn; Liang Yang; Daniel Ulbricht; Joshua M. Susskind; Qi Shan (WACV, 2022)

CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction. - Ziyue Feng; Liang Yang; Pengsheng Guo; Bing Li (ICCV, 2023)

CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction. - Ziyue Feng; Leon Yang; Pengsheng Guo; Bing Li 008 (CoRR, 2023)

StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D. - Pengsheng Guo; Hans Hao; Adam Caccavale; Zhongzheng Ren; Edward Zhang; Qi Shan; Aditya Sankar; Alexander G. Schwing; Alex Colburn; Fangchang Ma (CoRR, 2023)

On Inductive Biases That Enable Generalization of Diffusion Transformers. - Jie An 002; De Wang; Pengsheng Guo; Jiebo Luo 001; Alexander G. Schwing (CoRR, 2024)

Variational Rectified Flow Matching. - Pengsheng Guo; Alexander G. Schwing (CoRR, 2025)

CommVQ: Commutative Vector Quantization for KV Cache Compression. - Junyan Li; Yang Zhang 001; Muhammad Yusuf Hassan; Talha Chafekar; Tianle Cai; Zhile Ren; Pengsheng Guo; Foroozan Karimzadeh; Colorado Reed; Chong Wang; Chuang Gan 001 (CoRR, 2025)

Apple Intelligence Foundation Language Models: Tech Report 2025. - Hanzhi Zhou; Erik Hornberger; Pengsheng Guo; Xiyou Zhou; Saiwen Wang; Xin Wang; Yifei He; Xuankai Chang; Rene Rauch; Louis D'hauwe; John Peebles; Alec Doane; et al. (CoRR, 2025)

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework. - Yi-Ting Chen; Ting-Hsuan Liao; Pengsheng Guo; Alexander Schwing; Jia-Bin Huang (CoRR, 2025)