GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism.
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Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025
The ArtBench Dataset: Benchmarking Generative Models with Artworks.
CoRR, 2022
Learning Weakly-supervised Contrastive Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022
Collage: Automated Integration of Deep Learning Backends.
CoRR, 2021
Integrating Auxiliary Information in Self-supervised Learning.
CoRR, 2021
Information Obfuscation of Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021
Google Landmark Recognition 2020 Competition Third Place Solution.
CoRR, 2020
Graph Adversarial Networks: Protecting Information against Adversarial Attacks.
CoRR, 2020
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders.
CoRR, 2019
Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation.
CoRR, 2018
Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping.
CoRR, 2018