Yongjun Bao

53 papers A* 19A 5B 2Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Spatio-Temporal Attention for Text-Video Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Leqi Shen, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding
2025 A* conf
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.
ICLR
Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding
2024 A* conf
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs.
ICDE
Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2024 J jnl
Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding.
CoRR
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
2024 A* conf
Multi-Label Learning with Block Diagonal Labels.
ACM Multimedia
Leqi Shen, Sicheng Zhao, Yifeng Zhang, Hui Chen, Jundong Zhou, Pengzhang Liu, Yongjun Bao, Guiguang Ding
2024 J jnl
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation.
CoRR
Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding
2024 — conf
PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation.
ECCV (9)
Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding
2024 B conf
Parquet-Based CTR Model Training in Production Environment.
SMC
Zhibing Liu, Jinrong Guo, Biyu Zhou, Xiaokun Zhu, Yongjun Bao, Jizhong Han, Songlin Hu
2024 A* conf
Patch-Aware Sample Selection for Efficient Masked Image Modeling.
AAAI
Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng
2024 J jnl
Reinforcement learning based edge computing in B5G.
Digit. Commun. Networks
Jiachen Yang, Yiwen Sun, Yutian Lei, Zhuo Zhang, Yang Li, Yongjun Bao, Zhihan Lv
2024 A* conf
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks.
IJCAI
Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding
2024 J jnl
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.
CoRR
Leqi Shen, Tianxiang Hao, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding
2023 A* conf
Blending Advertising with Organic Content in E-commerce via Virtual Bids.
AAAI
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
2023 A* conf
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning.
ICLR
Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan
2023 A* conf
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels.
CVPR
Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han
2023 A* conf
Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels.
ACM Multimedia
Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding
2022 A* conf
Adaptive Experimentation with Delayed Binary Feedback.
WWW
Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan
2022 J jnl
Adaptive Experimentation with Delayed Binary Feedback.
CoRR
Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan
2022 J jnl
Bidirectional difference locating and semantic consistency reasoning for change captioning.
Int. J. Intell. Syst.
Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh
2022 A* conf
Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization.
ACM Multimedia
Haichao Shi, Xiaoyu Zhang, Changsheng Li, Lixing Gong, Yong Li, Yongjun Bao
2022 J jnl
IoT-based critical infrastructure enabled radar information fusion.
Comput. Electr. Eng.
Jiachen Yang, Zhuo Zhang, Wei Mao, Yiwen Sun, Yongjun Bao, Houbing Song
2022 B conf
LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis.
COLING
Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan
2021 — conf
Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition.
NAACL-HLT
Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan
2021 J jnl
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach.
CoRR
Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan
2021 J jnl
Dynamic Selective Network for RGB-D Salient Object Detection.
IEEE Trans. Image Process.
Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding
2021 — conf
Labeling Document Images for E-Commence Products with Tree-Based Segment Re-organizing and Hierarchical Transformer.
ICDAR Workshops (2)
Peng Li, Pingguang Yuan, Yong Li, Yongjun Bao, Weipeng Yan
2021 A* conf
Probing Product Description Generation via Posterior Distillation.
AAAI
Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan
2021 J jnl
Probing Product Description Generation via Posterior Distillation.
CoRR
Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan
2021 J jnl
Scene Segmentation With Dual Relation-Aware Attention Network.
IEEE Trans. Neural Networks Learn. Syst.
Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu
2021 J jnl
Trustworthy authorization method for security in Industrial Internet of Things.
Ad Hoc Networks
Yang Zhao, Jiachen Yang, Yongjun Bao, Houbing Song
2021 A* conf
Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems.
SIGIR
Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao
2020 A conf
A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit.
RecSys
Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan
2020 A* conf
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.
IJCAI
Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan
2020 A* conf
Category-Specific CNN for Visual-aware CTR Prediction at JD.com.
KDD
Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2020 J jnl
Category-Specific CNN for Visual-aware CTR Prediction at JD.com.
CoRR
Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2020 J jnl
Contextual deconvolution network for semantic segmentation.
Pattern Recognit.
Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu
2020 J jnl
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.
CoRR
Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan
2020 A conf
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items.
CIKM
Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan
2020 A conf
Dimension Relation Modeling for Click-Through Rate Prediction.
CIKM
Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan
2020 — conf
Group-wise Contrastive Learning for Neural Dialogue Generation.
EMNLP (Findings)
Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao
2020 J jnl
Group-wise Contrastive Learning for Neural Dialogue Generation.
CoRR
Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao
2020 A* conf
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction.
NeurIPS
Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
2020 J jnl
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction.
CoRR
Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
2020 A* conf
MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations.
SIGIR
Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
2020 A conf
Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System.
RecSys
Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan
2019 A* conf
Adaptive Context Network for Scene Parsing.
ICCV
Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu
2019 J jnl
Adaptive Context Network for Scene Parsing.
CoRR
Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu
2019 J jnl
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction.
CoRR
Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
2019 A* conf
Dual Attention Network for Scene Segmentation.
CVPR
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu
2019 A conf
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
CIKM
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
2019 J jnl
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
CoRR
Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
2018 — conf
A Practical Deep Online Ranking System in E-commerce Recommendation.
ECML/PKDD (3)
Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao
2005 — conf
Peking University at the TREC 2005 Question and Answering Track.
TREC
Jing He, Cheng Chen, Conglei Yao, Ping Yin, Yongjun Bao