Weipeng Yan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Topics

Number Of Labeled Examples

Semantic Retrieval

Stability Analysis

Hierarchical Reinforcement Learning

Top Venues

Publications

Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. ICDE (2024)
Xu Wang, Hainan Zhang, Shuai Zhao, Hongshen Chen, Bo Cheng, Zhuoye Ding, Sulong Xu, Weipeng Yan, Yanyan Lan
HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning. Neurocomputing 524 (2023)
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)
Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels. CVPR (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)
Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels. CoRR (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)
Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Peiqin Gu, Xiliang Lin, Wenlong Chen, Junsheng Jin, Fanan Zhu, Changping Peng, Yongjun Bao, Zhangang Lin, Weipeng Yan, Jingping Shao
Blending Advertising with Organic Content in E-commerce via Virtual Bids. AAAI (2023)
Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding
Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. ACM Multimedia (2023)
Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan
Adaptive Experimentation with Delayed Binary Feedback. WWW (2022)
Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan
Adaptive Experimentation with Delayed Binary Feedback. CoRR (2022)
Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan
LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis. COLING (2022)
Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan
Probing Product Description Generation via Posterior Distillation. CoRR (2021)
Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan
Probing Product Description Generation via Posterior Distillation. AAAI (2021)
Zhuojian Xiao, Yunjiang Jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint. ICDE (2021)
Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach. CoRR (2021)
Peng Li, Pingguang Yuan, Yong Li, Yongjun Bao, Weipeng Yan
Labeling Document Images for E-Commence Products with Tree-Based Segment Re-organizing and Hierarchical Transformer. ICDAR Workshops (2) (2021)
Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao
Group-wise Contrastive Learning for Neural Dialogue Generation. CoRR (2020)
Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
Category-Specific CNN for Visual-aware CTR Prediction at JD.com. CoRR (2020)
Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
Category-Specific CNN for Visual-aware CTR Prediction at JD.com. KDD (2020)
Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan
Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System. RecSys (2020)
Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu
Contextual deconvolution network for semantic segmentation. Pattern Recognit. 101 (2020)
Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wenyun Yang
Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning. SIGIR (2020)
Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network. CoRR (2020)
Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. SIGIR (2020)
Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao
Group-wise Contrastive Learning for Neural Dialogue Generation. EMNLP (Findings) (2020)
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. ICDM (2020)
Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. CIKM (2020)
Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration. IJCAI (2020)
Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction. CoRR (2020)
Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan
Dimension Relation Modeling for Click-Through Rate Prediction. CIKM (2020)
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. CoRR (2020)
Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wenyun Yang
Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning. CoRR (2020)
Zhuojian Xiao, Yunjiang Jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint. CoRR (2020)
Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction. NeurIPS (2020)
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CIKM (2019)
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CoRR (2019)
Jihai Jiang, Weipeng Yan
An Approach to Predict Wear Distribution of Valve Plate in Elasto-Hydrodynamic Lubrication. IEEE Access 7 (2019)
Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction. CoRR (2019)
Jihai Jiang, Weipeng Yan
Stability analysis and optimization on conical cylinder block in swash plate piston pumps. ROBIO (2017)