Adaptive Dropout Rates for Learning with Corrupted Features. - Jingwei Zhuo; Jun Zhu 001; Bo Zhang 010 (IJCAI, 2015)

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. - Jingwei Zhuo; Yong Cao; Jun Zhu 001; Bo Zhang 010; Zaiqing Nie (ACL (1), 2016)

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. - Wenbo Hu 001; Jun Zhu 001; Hang Su 006; Jingwei Zhuo; Bo Zhang 010 (IJCAI, 2017)

Learning Random Fourier Features by Hybrid Constrained Optimization. - Jianqiao Wangni; Jingwei Zhuo; Jun Zhu 001 (CoRR, 2017)

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. - Yichi Zhou; Jun Zhu 001; Jingwei Zhuo (ICML, 2018)

Message Passing Stein Variational Gradient Descent. - Jingwei Zhuo; Chang Liu 030; Jiaxin Shi; Jun Zhu 001; Ning Chen 002; Bo Zhang 010 (ICML, 2018)

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001; Lawrence Carin (CoRR, 2018)

Understanding MCMC Dynamics as Flows on the Wasserstein Space. - Chang Liu 030; Jingwei Zhuo; Jun Zhu 001 (ICML, 2019)

Understanding and Accelerating Particle-Based Variational Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001 (ICML, 2019)

Learning Optimal Tree Models under Beam Search. - Jingwei Zhuo; Ziru Xu; Wei Dai; Han Zhu 001; Han Li 005; Jian Xu 015; Kun Gai (ICML, 2020)

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. - Yiming Qiu; Chenyu Zhao; Han Zhang 047; Jingwei Zhuo; Tianhao Li; Xiaowei Zhang; Songlin Wang; Sulong Xu; Bo Long; Wen-Yun Yang (CIKM, 2022)

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. - Jingwei Zhuo; Bin Liu; Xiang Li; Han Zhu 001; Xiaoqiang Zhu (CoRR, 2022)

Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. - Mingming Li; Chunyuan Yuan; Huimu Wang; Peng Wang; Jingwei Zhuo; Binbin Wang; Lin Liu; Sulong Xu (EMNLP (Industry Track), 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 (ICLR, 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 (SIGIR, 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 047 (SIGIR, 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 (WWW (Companion Volume), 2023)

Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. - Zhirui Kuai; Zuxu Chen; Huimu Wang; Mingming Li; Dadong Miao; Binbin Wang; Xusong Chen; Li Kuang; Yuxing Han 001; Jiaxing Wang; Guoyu Tang; Lin Liu; et al. (EMNLP (Industry Track), 2024)

Generative Retrieval with Preference Optimization for E-commerce Search. - Mingming Li; Huimu Wang; Zuxu Chen; Guangtao Nie; Yiming Qiu; Binbin Wang; Guoyu Tang; Lin Liu; Jingwei Zhuo (CoRR, 2024)