Llm maybe longlm: Self-extend llm context window without tuning H Jin, X Han, J Yang, Z Jiang, Z Liu, CY Chang, H Chen, X Hu
International Conference on Machine Learning, 2024
103 * 2024 Kivi: A tuning-free asymmetric 2bit quantization for kv cache Z Liu, J Yuan, H Jin, S Zhong, Z Xu, V Braverman, B Chen, X Hu
International Conference on Machine Learning, 2024
103 * 2024 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
73 * 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
69 2022 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
62 2021 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
50 2019 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
49 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
41 2021 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
39 * 2023 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
36 2017 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
35 2022 Soft Prompt Recovers Compressed LLMs, Transferably Z Xu, Z Liu, B Chen, S Zhong, Y Tang, W Jue, K Zhou, X Hu, ...
Forty-first International Conference on Machine Learning, 2024
34 * 2024 Quantifying multilingual performance of large language models across languages Z Li, Y Shi, Z Liu, F Yang, A Payani, N Liu, M Du
AAAI 2025 (Social Impact Track), 2024
25 2024 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
25 2020 DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization Z Liu, H Jin, TH Wang, K Zhou, X Hu
International Conference on Computer Vision, 2021
23 2021 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
21 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
20 2023 Table2Graph: Transforming Tabular Data to Unified Weighted Graph. K Zhou, Z Liu, R Chen, L Li, SH Choi, X Hu
IJCAI, 2420-2426, 2022
20 2022 Setting the trap: Capturing and defeating backdoors in pretrained language models through honeypots RR Tang, J Yuan, Y Li, Z Liu, R Chen, X Hu
Advances in Neural Information Processing Systems 36, 73191-73210, 2023
19 * 2023 Retiring X Han, Z Jiang, H Jin, Z Liu, N Zou, Q Wang, X Hu
arXiv preprint arXiv:2301.13443, 2023
19 2023 
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityEmail verificata su rice.edu
