Jingwei Zhuo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Semantic Retrieval

Bayesian Inference

Weakly Supervised Learning

Top Venues

Publications

Zhirui Kuai, Zuxu Chen, Huimu Wang, Mingming Li, Dadong Miao, Binbin Wang, Xusong Chen, Li Kuang, Yuxing Han, Jiaxing Wang, Guoyu Tang, Lin Liu, Songlin Wang, Jingwei Zhuo
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. CoRR (2024)
Mingming Li, Huimu Wang, Zuxu Chen, Guangtao Nie, Yiming Qiu, Binbin Wang, Guoyu Tang, Lin Liu, Jingwei Zhuo
Generative Retrieval with Preference Optimization for E-commerce Search. CoRR (2024)
Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning. ICLR (2023)
Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. CoRR (2023)
Mingming Li, Chunyuan Yuan, Binbin Wang, Jingwei Zhuo, Songlin Wang, Lin Liu, Sulong Xu
Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval. SIGIR (2023)
Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. SIGIR (2023)
Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. WWW (Companion Volume) (2023)
Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. EMNLP (Industry Track) (2023)
Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR (2022)
Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. CIKM (2022)
Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. CoRR (2022)
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
Learning Optimal Tree Models Under Beam Search. CoRR (2020)
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
Learning Optimal Tree Models under Beam Search. ICML (2020)
Chang Liu, Jingwei Zhuo, Jun Zhu
Understanding MCMC Dynamics as Flows on the Wasserstein Space. ICML (2019)
Chang Liu, Jingwei Zhuo, Jun Zhu
Understanding MCMC Dynamics as Flows on the Wasserstein Space. CoRR (2019)
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu
Understanding and Accelerating Particle-Based Variational Inference. ICML (2019)
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR (2018)
Yichi Zhou, Jun Zhu, Jingwei Zhuo
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. ICML (2018)
Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
Message Passing Stein Variational Gradient Descent. ICML (2018)
Yichi Zhou, Jun Zhu, Jingwei Zhuo
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. CoRR (2017)
Jianqiao Wangni, Jingwei Zhuo, Jun Zhu
Learning Random Fourier Features by Hybrid Constrained Optimization. CoRR (2017)
Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. IJCAI (2017)
Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. ACL (1) (2016)
Jingwei Zhuo, Jun Zhu, Bo Zhang
Adaptive Dropout Rates for Learning with Corrupted Features. IJCAI (2015)