| 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 | 226 | 2016 |
| 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 | 116* | 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 | 99 | 2018 |
| 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 | 66 | 2020 |
| 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 | 44 | 2016 |
| Understanding mcmc dynamics as flows on the wasserstein space C Liu, J Zhuo, J Zhu Proceedings of the International Conference on Machine Learning, 2019 | 25 | 2019 |
| Adaptive Dropout Rates for Learning with Corrupted Features. J Zhuo, J Zhu, B Zhang IJCAI 24, 4126-4133, 2015 | 23 | 2015 |
| 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 | 20 | 2022 |
| 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 | 8 | 2023 |
| Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. W Hu, J Zhu, H Su, J Zhuo, B Zhang IJCAI, 1865-1871, 2017 | 8 | 2017 |
| 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 | 6 | 2023 |
| 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 | 6 | 2017 |
| 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 | 5 | 2023 |
| 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 | 4 | 2023 |
| Generative retrieval with preference optimization for e-commerce search M Li, H Wang, Z Chen, G Nie, Y Qiu, G Tang, L Liu, J Zhuo arXiv preprint arXiv:2407.19829, 2024 | 2 | 2024 |
| Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval Z Kuai, Z Chen, H Wang, M Li, D Miao, B Wang, X Chen, L Kuang, Y Han, ... arXiv preprint arXiv:2407.21488, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
| 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 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn