Stebėti
Jingwei Zhuo
Jingwei Zhuo
JD Inc
Patvirtintas el. paštas jd.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
P‐LORAKS: low‐rank modeling of local k‐space neighborhoods with parallel imaging data
JP Haldar, J Zhuo
Magnetic resonance in medicine 75 (4), 1499-1514, 2016
1912016
Understanding and accelerating particle-based variational inference
C Liu, J Zhuo, P Cheng, R Zhang, J Zhu, L Carin
Proceedings of the International Conference on Machine Learning, 2018
103*2018
Message passing Stein variational gradient descent
J Zhuo, C Liu, J Shi, J Zhu, N Chen, B Zhang
International Conference on Machine Learning, 6018-6027, 2018
872018
Learning Optimal Tree Models under Beam Search
J Zhuo, Z Xu, W Dai, H Zhu, H Li, J Xu, K Gai
Proceedings of the International Conference on Machine Learning, 2020
562020
Segment-level sequence modeling using gated recursive semi-markov conditional random fields
J Zhuo, Y Cao, J Zhu, B Zhang, Z Nie
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
412016
Understanding mcmc dynamics as flows on the wasserstein space
C Liu, J Zhuo, J Zhu
Proceedings of the International Conference on Machine Learning, 2019
252019
Adaptive Dropout Rates for Learning with Corrupted Features.
J Zhuo, J Zhu, B Zhang
IJCAI, 4126-4133, 2015
222015
Pre-training tasks for user intent detection and embedding retrieval in e-commerce search
Y Qiu, C Zhao, H Zhang, J Zhuo, T Li, X Zhang, S Wang, S Xu, B Long, ...
Proceedings of the 31st ACM International Conference on Information …, 2022
102022
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.
W Hu, J Zhu, H Su, J Zhuo, B Zhang
IJCAI, 1865-1871, 2017
82017
P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging data
J Zhuo, JP Haldar
Proc. Int. Soc. Magn. Reson. Med, 745, 2014
72014
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
Y Zhou, J Zhu, J Zhuo
Proceedings of the International Conference on Machine Learning, 2017
62017
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search
B Wang, M Li, Z Zeng, J Zhuo, S Wang, S Xu, B Long, W Yan
Companion Proceedings of the ACM Web Conference 2023, 411-415, 2023
42023
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
J Wang, Y Li, J Zhuo, X Shi, W Zhang, L Gong, T Tao, P Liu, Y Bao, W Yan
The Eleventh International Conference on Learning Representations, 2023
32023
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval
M Li, C Yuan, H Wang, P Wang, J Zhuo, B Wang, L Liu, S Xu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
12023
Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval
M Li, C Yuan, B Wang, J Zhuo, S Wang, L Liu, S Xu
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
12023
Practice on pruning CTR models for real-world systems
R Chen, Y Zheng, G Zhou, X Luo, J Zhuo, X Qiao, Y Xu, X Zhu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
12021
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search
Z Zhou, N Ding, X Fan, Y Shang, Y Qiu, J Zhuo, Z Ge, S Wang, L Liu, S Xu, ...
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
2023
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models
J Zhuo, B Liu, X Li, H Zhu, X Zhu
arXiv preprint arXiv:2202.13616, 2022
2022
Learning Random Fourier Features by Hybrid Constrained Optimization
J Wangni, J Zhuo, J Zhu
arXiv preprint arXiv:1712.02527, 2017
2017
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