Jingwei Zhuo

According to our database, Jingwei Zhuo authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search.

Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search.

Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval.

Mingming Li, Chunyuan Yuan, Binbin Wang, Jingwei Zhuo, Songlin Wang, Lin Liu, Sulong Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DynaMS: Dyanmic Margin Selection for Efficient Deep Learning.

Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Hyper-parameter Learning for Deep Semantic Retrieval.

Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models.

Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu

CoRR, 2022

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search.

Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Learning Optimal Tree Models under Beam Search.

Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Understanding and Accelerating Particle-Based Variational Inference.

Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding MCMC Dynamics as Flows on the Wasserstein Space.

Chang Liu, Jingwei Zhuo, Jun Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.

Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin

CoRR, 2018

Message Passing Stein Variational Gradient Descent.

Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors.

Yichi Zhou, Jun Zhu, Jingwei Zhuo

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Learning Random Fourier Features by Hybrid Constrained Optimization.

Jianqiao Wangni, Jingwei Zhuo, Jun Zhu

CoRR, 2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.

Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields.

Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Adaptive Dropout Rates for Learning with Corrupted Features.

Jingwei Zhuo, Jun Zhu, Bo Zhang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015