Haoming Jiang
Haoming Jiang
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On the variance of the adaptive learning rate and beyond
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
arXiv preprint arXiv:1908.03265, 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
H Jiang, P He, W Chen, X Liu, J Gao, T Zhao
arXiv preprint arXiv:1911.03437, 2019
Harnessing the power of llms in practice: A survey on chatgpt and beyond
J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang, S Zhong, B Yin, X Hu
ACM Transactions on Knowledge Discovery from Data, 2023
Transformer hawkes process
S Zuo, H Jiang, Z Li, T Zhao, H Zha
International conference on machine learning, 11692-11702, 2020
Bond: Bert-assisted open-domain named entity recognition with distant supervision
C Liang, Y Yu, H Jiang, S Er, R Wang, T Zhao, C Zhang
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Efficient approximation of deep relu networks for functions on low dimensional manifolds
M Chen, H Jiang, W Liao, T Zhao
Advances in neural information processing systems 32, 2019
Fine-tuning pre-trained language model with weak supervision: A contrastive-regularized self-training approach
Y Yu, S Zuo, H Jiang, W Ren, T Zhao, C Zhang
arXiv preprint arXiv:2010.07835, 2020
Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery
M Chen, H Jiang, W Liao, T Zhao
Information and Inference: A Journal of the IMA 11 (4), 1203-1253, 2022
Condensing graphs via one-step gradient matching
W Jin, X Tang, H Jiang, Z Li, D Zhang, J Tang, B Yin
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Calibrated language model fine-tuning for in-and out-of-distribution data
L Kong, H Jiang, Y Zhuang, J Lyu, T Zhao, C Zhang
arXiv preprint arXiv:2010.11506, 2020
Deep reinforcement learning with robust and smooth policy
Q Shen, Y Li, H Jiang, Z Wang, T Zhao
International Conference on Machine Learning, 8707-8718, 2020
Super tickets in pre-trained language models: From model compression to improving generalization
C Liang, S Zuo, M Chen, H Jiang, X Liu, P He, T Zhao, W Chen
arXiv preprint arXiv:2105.12002, 2021
huge: High-dimensional undirected graph estimation
H Jiang, X Fei, H Liu, K Roeder, J Lafferty, L Wasserman, X Li, T Zhao
R package version 1 (2), 2019
Learning to defend by learning to attack
H Jiang, Z Chen, Y Shi, B Dai, T Zhao
International Conference on Artificial Intelligence and Statistics, 577-585, 2021
SEQZERO: Few-shot compositional semantic parsing with sequential prompts and zero-shot models
J Yang, H Jiang, Q Yin, D Zhang, B Yin, D Yang
arXiv preprint arXiv:2205.07381, 2022
Named entity recognition with small strongly labeled and large weakly labeled data
H Jiang, D Zhang, T Cao, B Yin, T Zhao
arXiv preprint arXiv:2106.08977, 2021
Multilingual knowledge graph completion with self-supervised adaptive graph alignment
Z Huang, Z Li, H Jiang, T Cao, H Lu, B Yin, K Subbian, Y Sun, W Wang
arXiv preprint arXiv:2203.14987, 2022
Multi-domain neural machine translation with word-level adaptive layer-wise domain mixing
H Jiang, C Liang, C Wang, T Zhao
arXiv preprint arXiv:1911.02692, 2019
On computation and generalization of generative adversarial networks under spectrum control
H Jiang, Z Chen, M Chen, F Liu, D Wang, T Zhao
International Conference on Learning Representations, 2019
Picasso: A sparse learning library for high dimensional data analysis in R and Python
J Ge, X Li, H Jiang, H Liu, T Zhang, M Wang, T Zhao
Journal of Machine Learning Research 20 (44), 1-5, 2019
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