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Yongjun Bao
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2020 – today
- 2024
- [j7]Jiachen Yang, Yiwen Sun
, Yutian Lei, Zhuo Zhang, Yang Li
Reinforcement learning based edge computing in B5G. Digit. Commun. Networks 10(1): 1-6 (2024) - [c30]Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng:
Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI 2024: 17245-17253 - [c29]Yizhe Xiong, Hui Chen
PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. ECCV (9) 2024: 455-473 - [c28]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: 2862-2875 - [c27]Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding:
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. IJCAI 2024: 6587-6596 - [c26]Leqi Shen
Multi-Label Learning with Block Diagonal Labels. ACM Multimedia 2024: 4832-4840 - [i13]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 abs/2402.15678 (2024) - [i12]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 abs/2403.09192 (2024) - [i11]Leqi Shen, Tianxiang Hao, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding:
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. CoRR abs/2409.01156 (2024) - 2023
- [c25]Carlos Carrion, Zenan Wang
Blending Advertising with Organic Content in E-commerce via Virtual Bids. AAAI 2023: 15476-15484 - [c24]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: 3398-3407 - [c23]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 - [c22]Ao Wang
Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. ACM Multimedia 2023: 5594-5604 - 2022
- [j6]Jiachen Yang, Zhuo Zhang
IoT-based critical infrastructure enabled radar information fusion. Comput. Electr. Eng. 98: 107723 (2022) - [j5]Yaoqi Sun
Bidirectional difference locating and semantic consistency reasoning for change captioning. Int. J. Intell. Syst. 37(5): 2969-2987 (2022) - [c21]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: 7002-7012 - [c20]Haichao Shi, Xiaoyu Zhang, Changsheng Li, Lixing Gong, Yong Li, Yongjun Bao:
Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization. ACM Multimedia 2022: 3820-3828 - [c19]Zenan Wang
Adaptive Experimentation with Delayed Binary Feedback. WWW 2022: 2247-2255 - [i10]Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan:
Adaptive Experimentation with Delayed Binary Feedback. CoRR abs/2202.00846 (2022) - 2021
- [j4]Yang Zhao, Jiachen Yang
Trustworthy authorization method for security in Industrial Internet of Things. Ad Hoc Networks 121: 102607 (2021) - [j3]Hongfa Wen
Dynamic Selective Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 9179-9192 (2021) - [j2]Jun Fu
Scene Segmentation With Dual Relation-Aware Attention Network. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2547-2560 (2021) - [c18]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: 14301-14309 - [c17]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: 424-439 - [c16]Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan:
Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition. NAACL-HLT 2021: 5621-5630 - [c15]Yuhai Song, Lu Wang
Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems. SIGIR 2021: 1818-1822 - [i9]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan:
Probing Product Description Generation via Posterior Distillation. CoRR abs/2103.01594 (2021) - [i8]Carlos Carrion
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach. CoRR abs/2105.13556 (2021) - 2020
- [j1]Jun Fu, Jing Liu
Contextual deconvolution network for semantic segmentation. Pattern Recognit. 101: 107152 (2020) - [c14]Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan:
Dimension Relation Modeling for Click-Through Rate Prediction. CIKM 2020: 2333-2336 - [c13]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: 2621-2628 - [c12]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: 793-802 - [c11]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: 3522-3528 - [c10]Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao
Category-Specific CNN for Visual-aware CTR Prediction at JD.com. KDD 2020: 2686-2696 - [c9]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 - [c8]Yu Liu, Xiaoxiao Xu
A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit. RecSys 2020: 645-650 - [c7]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: 720-725 - [c6]Dongyang Zhao, Liang Zhang
MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. SIGIR 2020: 871-880 - [i7]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 abs/2006.10337 (2020) - [i6]Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao:
Group-wise Contrastive Learning for Neural Dialogue Generation. CoRR abs/2009.07543 (2020) - [i5]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 abs/2010.00985 (2020) - [i4]Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan:
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network. CoRR abs/2011.11938 (2020)
2010 – 2019
- 2019
- [c5]Yikai Wang, Liang Zhang
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CIKM 2019: 349-358 - [c4]Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu:
Dual Attention Network for Scene Segmentation. CVPR 2019: 3146-3154 - [c3]Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang
Adaptive Context Network for Scene Parsing. ICCV 2019: 6747-6756 - [i3]Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan:
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction. CoRR abs/1903.09374 (2019) - [i2]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 abs/1911.00886 (2019) - [i1]Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu:
Adaptive Context Network for Scene Parsing. CoRR abs/1911.01664 (2019) - 2018
- [c2]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: 186-201
2000 – 2009
- 2005
- [c1]Jing He, Cheng Chen, Conglei Yao, Ping Yin, Yongjun Bao:
Peking University at the TREC 2005 Question and Answering Track. TREC 2005
Coauthor Index
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last updated on 2024-11-07 21:36 CET by the dblp team
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