Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping. - Peiyuan Liao (CoRR, 2018)

Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation. - Peiyuan Liao; Jiajun Mao (CoRR, 2018)

CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders. - Haimeng Zhao; Peiyuan Liao (CoRR, 2019)

Graph Adversarial Networks: Protecting Information against Adversarial Attacks. - Peiyuan Liao; Han Zhao 002; Keyulu Xu; Tommi S. Jaakkola; Geoffrey J. Gordon; Stefanie Jegelka; Ruslan Salakhutdinov (CoRR, 2020)

Google Landmark Recognition 2020 Competition Third Place Solution. - Qishen Ha; Bo Liu; Fuxu Liu; Peiyuan Liao (CoRR, 2020)

Information Obfuscation of Graph Neural Networks. - Peiyuan Liao; Han Zhao 002; Keyulu Xu; Tommi S. Jaakkola; Geoffrey J. Gordon; Stefanie Jegelka; Ruslan Salakhutdinov (ICML, 2021)

Integrating Auxiliary Information in Self-supervised Learning. - Yao-Hung Hubert Tsai; Tianqin Li; Weixin Liu; Peiyuan Liao; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2021)

Collage: Automated Integration of Deep Learning Backends. - Byungsoo Jeon; Sunghyun Park 004; Peiyuan Liao; Sheng Xu; Tianqi Chen 001; Zhihao Jia (CoRR, 2021)

Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. - Byungsoo Jeon; Sunghyun Park 004; Peiyuan Liao; Sheng Xu; Tianqi Chen 001; Zhihao Jia (PACT, 2022)

Learning Weakly-supervised Contrastive Representations. - Yao-Hung Hubert Tsai; Tianqin Li; Weixin Liu; Peiyuan Liao; Ruslan Salakhutdinov; Louis-Philippe Morency (ICLR, 2022)

The ArtBench Dataset: Benchmarking Generative Models with Artworks. - Peiyuan Liao; Xiuyu Li; Xihui Liu; Kurt Keutzer (CoRR, 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. - Byungsoo Jeon; Mengdi Wu; Shiyi Cao; Sunghyun Kim; Sunghyun Park 004; Neeraj Aggarwal; Colin Unger; Daiyaan Arfeen; Peiyuan Liao; Xupeng Miao; Mohammad Alizadeh; Gregory R. Ganger; et al. (ASPLOS (1), 2025)

Towards Anonymous Neural Network Inference. - Peiyuan Liao (CoRR, 2025)