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2020 – today
- 2024
[j7]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): 1-6 (2024)- [c29]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 - [c28]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. ECCV (9) 2024: 455-473 - [c27]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 - [c26]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 - [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, 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: 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, 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: 5594-5604 - 2022
- [j6]Jiachen Yang, Zhuo Zhang, Wei Mao, Yiwen Sun, Yongjun Bao, Houbing Song:
IoT-based critical infrastructure enabled radar information fusion. Comput. Electr. Eng. 98: 107723 (2022) - [j5]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): 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, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan:
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, Yongjun Bao, Houbing Song:
Trustworthy authorization method for security in Industrial Internet of Things. Ad Hoc Networks 121: 102607 (2021) - [j3]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: 9179-9192 (2021) - [j2]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): 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, 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: 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, 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 abs/2105.13556 (2021) - 2020
- [j1]Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu:
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, 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: 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, 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: 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, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan:
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, 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: 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, Hanqing Lu:
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 2024-10-31 20:18 CET by the dblp team
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