Jingwei Zhuo - RankMe

27 papers A* 10A 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SaFRO: Satisfaction-Aware Fusion via Dual-Relative Policy Optimization for Short-Video Search. CoRR Renzhe Zhou, Songyang Li, Feiran Zhu, Chenglei Dai, Yi Zhang, Yi Wang, Jingwei Zhuo
2025	J	`jnl`	Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. CoRR Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang
2024	—	`conf`	Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. EMNLP (Industry Track) 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
2024	J	`jnl`	Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. CoRR 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
2024	J	`jnl`	Generative Retrieval with Preference Optimization for E-commerce Search. CoRR Mingming Li, Huimu Wang, Zuxu Chen, Guangtao Nie, Yiming Qiu, Binbin Wang, Guoyu Tang, Lin Liu, Jingwei Zhuo
2023	—	`conf`	Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. EMNLP (Industry Track) Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu
2023	A*	`conf`	DynaMS: Dyanmic Margin Selection for Efficient Deep Learning. ICLR Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan
2023	—	`conf`	Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. WWW (Companion Volume) Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan
2023	J	`jnl`	Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search. CoRR Binbin Wang, Mingming Li, Zhixiong Zeng, Jingwei Zhuo, Songlin Wang, Sulong Xu, Bo Long, Weipeng Yan
2023	A*	`conf`	Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval. SIGIR Mingming Li, Chunyuan Yuan, Binbin Wang, Jingwei Zhuo, Songlin Wang, Lin Liu, Sulong Xu
2023	A*	`conf`	Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. SIGIR Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang
2022	A	`conf`	Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. CIKM Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang
2022	J	`jnl`	Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. CoRR Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang
2022	J	`jnl`	WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu
2020	J	`jnl`	Learning Optimal Tree Models Under Beam Search. CoRR Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
2020	A*	`conf`	Learning Optimal Tree Models under Beam Search. ICML Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
2019	A*	`conf`	Understanding MCMC Dynamics as Flows on the Wasserstein Space. ICML Chang Liu, Jingwei Zhuo, Jun Zhu
2019	J	`jnl`	Understanding MCMC Dynamics as Flows on the Wasserstein Space. CoRR Chang Liu, Jingwei Zhuo, Jun Zhu
2019	A*	`conf`	Understanding and Accelerating Particle-Based Variational Inference. ICML Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu
2018	J	`jnl`	Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin
2018	A*	`conf`	Message Passing Stein Variational Gradient Descent. ICML Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
2018	A*	`conf`	Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. ICML Yichi Zhou, Jun Zhu, Jingwei Zhuo
2017	J	`jnl`	Learning Random Fourier Features by Hybrid Constrained Optimization. CoRR Jianqiao Wangni, Jingwei Zhuo, Jun Zhu
2017	J	`jnl`	Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. CoRR Yichi Zhou, Jun Zhu, Jingwei Zhuo
2017	A*	`conf`	Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. IJCAI Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang
2016	—	`conf`	Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. ACL (1) Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie
2015	A*	`conf`	Adaptive Dropout Rates for Learning with Corrupted Features. IJCAI Jingwei Zhuo, Jun Zhu, Bo Zhang