| Scalable graph neural network training: The case for sampling M Serafini, H Guan ACM SIGOPS Operating Systems Review 55 (1), 68-76, 2021 | 54 | 2021 |
| Post-training 4-bit quantization on embedding tables H Guan, A Malevich, J Yang, J Park, H Yuen arXiv preprint arXiv:1911.02079, 2019 | 40 | 2019 |
| Adaptive deep reuse: Accelerating CNN training on the fly L Ning, H Guan, X Shen 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1538-1549, 2019 | 34 | 2019 |
| In-place zero-space memory protection for cnn H Guan, L Ning, Z Lin, X Shen, H Zhou, SH Lim Advances in Neural Information Processing Systems 32, 2019 | 34 | 2019 |
| Comet: a novel memory-efficient deep learning training framework by using error-bounded lossy compression S Jin, C Zhang, X Jiang, Y Feng, H Guan, G Li, SL Song, D Tao arXiv preprint arXiv:2111.09562, 2021 | 26 | 2021 |
| CoCoPIE: Enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design H Guan, S Liu, X Ma, W Niu, B Ren, X Shen, Y Wang, P Zhao Communications of the ACM 64 (6), 62-68, 2021 | 25 | 2021 |
| Automtl: A programming framework for automating efficient multi-task learning L Zhang, X Liu, H Guan Advances in Neural Information Processing Systems 35, 34216-34228, 2022 | 21 | 2022 |
| Fleet: Flexible efficient ensemble training for heterogeneous deep neural networks H Guan, LK Mokadam, X Shen, SH Lim, R Patton Proceedings of Machine Learning and Systems 2, 247-261, 2020 | 20 | 2020 |
| Rethinking hard-parameter sharing in multi-domain learning L Zhang, Q Yang, X Liu, H Guan 2022 IEEE International Conference on Multimedia and Expo (ICME), 01-06, 2022 | 17 | 2022 |
| Wootz: A compiler-based framework for fast cnn pruning via composability H Guan, X Shen, SH Lim Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 17 | 2019 |
| A topological collapse for document summarization H Guan, W Tang, H Krim, J Keiser, A Rindos, R Sazdanovic 2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016 | 15 | 2016 |
| Deep nlp-based co-evolvement for synthesizing code analysis from natural language Z Nan, H Guan, X Shen, C Liao Proceedings of the 30th ACM SIGPLAN International Conference on Compiler …, 2021 | 14 | 2021 |
| HISyn: human learning-inspired natural language programming Z Nan, H Guan, X Shen Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 14 | 2020 |
| Egeria: A framework for automatic synthesis of HPC advising tools through multi-layered natural language processing H Guan, X Shen, H Krim Proceedings of the International Conference for High Performance Computing …, 2017 | 13 | 2017 |
| Numaperf: Predictive numa profiling X Zhao, J Zhou, H Guan, W Wang, X Liu, T Liu Proceedings of the ACM International Conference on Supercomputing, 52-62, 2021 | 11 | 2021 |
| Robust Image Watermarking using Stable Diffusion L Zhang, X Liu, AV Martin, CX Bearfield, Y Brun, H Guan arXiv preprint arXiv:2401.04247, 2024 | 10 | 2024 |
| Flash: concept drift adaptation in federated learning K Panchal, S Choudhary, S Mitra, K Mukherjee, S Sarkhel, S Mitra, ... International Conference on Machine Learning, 26931-26962, 2023 | 10 | 2023 |
| Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction Y Ding, L Ning, H Guan, X Shen Proceedings of the 38th ACM SIGPLAN Conference on Programming Language …, 2017 | 9 | 2017 |
| Re-thinking computation offload for efficient inference on IoT devices with duty-cycled radios J Huang, H Guan, D Ganesan Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 8 | 2023 |
| A tree-structured multi-task model recommender L Zhang, X Liu, H Guan International Conference on Automated Machine Learning, 10/1-12, 2022 | 8 | 2022 |
Xipeng ShenProfessor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu