Yongjun Bao

According to our database, Yongjun Bao authored at least 37 papers between 2005 and 2024.

Collaborative distances:

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

2024

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation.

Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding

CoRR, 2024

Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Yongjun Bao, Yi Liu, Zhongzhi Luan, Depei Qian

CoRR, 2024

Patch-Aware Sample Selection for Efficient Masked Image Modeling.

Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Bidirectional difference locating and semantic consistency reasoning for change captioning.

Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh

Int. J. Intell. Syst., 2022

IoT-based critical infrastructure enabled radar information fusion.

Jiachen Yang, Zhuo Zhang, Wei Mao, Yiwen Sun, Yongjun Bao, Houbing Song

Comput. Electr. Eng., 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

Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization.

Haichao Shi, Xiaoyu Zhang, Changsheng Li, Lixing Gong, Yong Li, Yongjun Bao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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

Scene Segmentation With Dual Relation-Aware Attention Network.

Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu

IEEE Trans. Neural Networks Learn. Syst., 2021

Dynamic Selective Network for RGB-D Salient Object Detection.

Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding

IEEE Trans. Image Process., 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

Trustworthy authorization method for security in Industrial Internet of Things.

Yang Zhao, Jiachen Yang, Yongjun Bao, Houbing Song

Ad Hoc Networks, 2021

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems.

Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit.

Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan

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

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

Adaptive Context Network for Scene Parsing.

Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dual Attention Network for Scene Segmentation.

Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu

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

2018

A Practical Deep Online Ranking System in E-commerce Recommendation.

Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2005

Peking University at the TREC 2005 Question and Answering Track.

Jing He, Cheng Chen, Conglei Yao, Ping Yin, Yongjun Bao

Proceedings of the Fourteenth Text REtrieval Conference, 2005