Weipeng Yan

According to our database, Weipeng Yan authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs.

Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning.

Xu Wang, Hainan Zhang, Shuai Zhao, Hongshen Chen, Bo Cheng, Zhuoye Ding, Sulong Xu, Weipeng Yan, Yanyan Lan

Neurocomputing, March, 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

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels.

Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding

Proceedings of the 31st ACM International Conference on Multimedia, 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

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels.

Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Blending Advertising with Organic Content in E-commerce via Virtual Bids.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adaptive Experimentation with Delayed Binary Feedback.

Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis.

Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach.

Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan

CoRR, 2021

Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint.

Zhuojian Xiao, Yunjiang Jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Labeling Document Images for E-Commence Products with Tree-Based Segment Re-organizing and Hierarchical Transformer.

Peng Li, Pingguang Yuan, Yong Li, Yongjun Bao, Weipeng Yan

Proceedings of the Document Analysis and Recognition, 2021

Probing Product Description Generation via Posterior Distillation.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Contextual deconvolution network for semantic segmentation.

Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu

Pattern Recognit., 2020

DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.

Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan

CoRR, 2020

MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations.

Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning.

Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wenyun Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System.

Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction.

Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Category-Specific CNN for Visual-aware CTR Prediction at JD.com.

Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.

Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.

Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Group-wise Contrastive Learning for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Dimension Relation Modeling for Click-Through Rate Prediction.

Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items.

Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction.

Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan

CoRR, 2019

An Approach to Predict Wear Distribution of Valve Plate in Elasto-Hydrodynamic Lubrication.

Jihai Jiang, Weipeng Yan

IEEE Access, 2019

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.

Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Stability analysis and optimization on conical cylinder block in swash plate piston pumps.

Jihai Jiang, Weipeng Yan

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017