| EXACT: Scalable graph neural networks training via extreme activation compression Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu International Conference on Learning Representations, 2021 | 40 | 2021 |
| Mitigating gender bias in captioning systems R Tang, M Du, Y Li, Z Liu, N Zou, X Hu Proceedings of the Web Conference 2021, 633-645, 2021 | 39 | 2021 |
| A comprehensive study on large-scale graph training: Benchmarking and rethinking K Duan, Z Liu, P Wang, W Zheng, K Zhou, T Chen, X Hu, Z Wang Advances in Neural Information Processing Systems 35, 5376-5389, 2022 | 29 | 2022 |
| Motor speed signature analysis for local bearing fault detection with noise cancellation based on improved drive algorithm M Yang, N Chai, Z Liu, B Ren, D Xu IEEE Transactions on Industrial Electronics 67 (5), 4172-4182, 2019 | 29 | 2019 |
| Current sensorless predictive control based on extended Kalman filter for PMSM drives Y Li, M Yang, J Long, Z Liu, D Xu 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific …, 2017 | 29 | 2017 |
| Fmp: Toward fair graph message passing against topology bias Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu arXiv preprint arXiv:2202.04187, 2022 | 28 | 2022 |
| An information fusion approach to learning with instance-dependent label noise Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu International Conference on Learning Representations, 2021 | 24 | 2021 |
| Autorec: An automated recommender system TH Wang, X Hu, H Jin, Q Song, X Han, Z Liu Proceedings of the 14th ACM Conference on Recommender Systems, 582-584, 2020 | 19 | 2020 |
| Dreamshard: Generalizable embedding table placement for recommender systems D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ... Advances in Neural Information Processing Systems 35, 15190-15203, 2022 | 17 | 2022 |
| Eccentric triboelectric nanosensor for monitoring mechanical movements Z Qu, L Wu, B Yue, Y An, Z Liu, P Zhao, J Luo, Y Xie, Y Liu, Q Wang, ... Nano Energy 62, 348-354, 2019 | 16 | 2019 |
| An algorithm for online inertia identification and load torque observation via adaptive Kalman observer-recursive least squares M Yang, Z Liu, J Long, W Qu, D Xu Energies 11 (4), 778, 2018 | 13 | 2018 |
| DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization Z Liu, H Jin, TH Wang, K Zhou, X Hu arXiv preprint arXiv:2103.14545, 2021 | 12 | 2021 |
| Detecting interactions from neural networks via topological analysis Z Liu, Q Song, K Zhou, TH Wang, Y Shan, X Hu Advances in Neural Information Processing Systems 33, 6390-6401, 2020 | 12* | 2020 |
| Efficient xai techniques: A taxonomic survey YN Chuang, G Wang, F Yang, Z Liu, X Cai, M Du, X Hu arXiv preprint arXiv:2302.03225, 2023 | 10 | 2023 |
| Adaptive label smoothing to regularize large-scale graph training K Zhou, SH Choi, Z Liu, N Liu, F Yang, R Chen, L Li, X Hu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 10 | 2023 |
| Retiring : New Distribution-Level Metrics for Demographic Parity X Han, Z Jiang, H Jin, Z Liu, N Zou, Q Wang, X Hu Transactions on Machine Learning Research, 2023 | 7* | 2023 |
| RSC: accelerate graph neural networks training via randomized sparse computations Z Liu, C Shengyuan, K Zhou, D Zha, X Huang, X Hu International Conference on Machine Learning, 21951-21968, 2023 | 6 | 2023 |
| Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models D Zha, L Feng, L Luo, B Bhushanam, Z Liu, Y Hu, J Nie, Y Huang, Y Tian, ... Proceedings of Machine Learning and Systems 5, 2023 | 5 | 2023 |
| A novel algorithm for on-line inertia identification via adaptive recursive least squares Z Liu, M Yang, D Xu IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 5 | 2017 |
| Editable Graph Neural Network for Node Classifications Z Liu, Z Jiang, S Zhong, K Zhou, L Li, R Chen, SH Choi, X Hu arXiv preprint arXiv:2305.15529, 2023 | 4 | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
