Yongjun Bao

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 46

Top Topics

Salient Object Detection

Scene Segmentation

Reinforcement Learning

Top Venues

Publications

Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation. CoRR (2024)
Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng
Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI (2024)
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)
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
Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding. CoRR (2024)
Jiachen Yang, Yiwen Sun, Yutian Lei, Zhuo Zhang, Yang Li, Yongjun Bao, Zhihan Lv
Reinforcement learning based edge computing in B5G. Digit. Commun. Networks 10 (1) (2024)
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)
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)
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)
Jiachen Yang, Zhuo Zhang, Wei Mao, Yiwen Sun, Yongjun Bao, Houbing Song
IoT-based critical infrastructure enabled radar information fusion. Comput. Electr. Eng. 98 (2022)
Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan
Adaptive Experimentation with Delayed Binary Feedback. WWW (2022)
Haichao Shi, Xiao-Yu Zhang, Changsheng Li, Lixing Gong, Yong Li, Yongjun Bao
Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization. ACM Multimedia (2022)
Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh
Bidirectional difference locating and semantic consistency reasoning for change captioning. Int. J. Intell. Syst. 37 (5) (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)
Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu
Scene Segmentation With Dual Relation-Aware Attention Network. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
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)
Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding
Dynamic Selective Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
Yang Zhao, Jiachen Yang, Yongjun Bao, Houbing Song
Trustworthy authorization method for security in Industrial Internet of Things. Ad Hoc Networks 121 (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)
Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao
Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems. SIGIR (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)
Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan
Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition. NAACL-HLT (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)
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)
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)
Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan
A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit. RecSys (2020)
Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan
Dimension Relation Modeling for Click-Through Rate Prediction. CIKM (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)
Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction. CoRR (2019)
Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu
Adaptive Context Network for Scene Parsing. CoRR (2019)
Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu
Adaptive Context Network for Scene Parsing. ICCV (2019)
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu
Dual Attention Network for Scene Segmentation. CVPR (2019)
Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao
A Practical Deep Online Ranking System in E-commerce Recommendation. ECML/PKDD (3) (2018)
Jing He, Cheng Chen, Conglei Yao, Ping Yin, Yongjun Bao
Peking University at the TREC 2005 Question and Answering Track. TREC (2005)