Yongjun Bao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
17
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. | Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding |
| 2024 | AAAI | Patch-Aware Sample Selection for Efficient Masked Image Modeling. | Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng |
| 2024 | ECCV | 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 |
| 2024 | ICDE | GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. | Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan |
| 2024 | IJCAI | TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. | Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding |
| 2024 | SMC | Parquet-Based CTR Model Training in Production Environment. | Zhibing Liu, Jinrong Guo, Biyu Zhou, Xiaokun Zhu, Yongjun Bao, Jizhong Han, Songlin Hu |
| 2023 | AAAI | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICLR | 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 |
| 2022 | COLING | 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 |
| 2022 | WWW | Adaptive Experimentation with Delayed Binary Feedback. | Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan |
| 2021 | AAAI | Probing Product Description Generation via Posterior Distillation. | Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan |
| 2021 | ICDAR | 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 |
| 2021 | NAACL | Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition. | Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan |
| 2021 | SIGIR | 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 |
| 2020 | CIKM | Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. | Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan |
| 2020 | CIKM | Dimension Relation Modeling for Click-Through Rate Prediction. | Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan |
| 2020 | EMNLP | Group-wise Contrastive Learning for Neural Dialogue Generation. | Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao |
| 2020 | IJCAI | 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 |
| 2020 | KDD | 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 |
| 2020 | RecSys | 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 |
| 2020 | RecSys | 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 |
| 2020 | SIGIR | MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. | Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan |
| 2019 | CIKM | 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 |
| 2019 | CVPR | Dual Attention Network for Scene Segmentation. | Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu |
| 2019 | ICCV | Adaptive Context Network for Scene Parsing. | Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu |