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Baidu’s Search Science Team is hiring! Please drop a message to if interested.

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Research Topics

Our research topics include (but are not limited to)

Search and Ranking

Our research topics for search & rank include (but are not limited to):
  • Learning to Rank
  • Web Search Models and Ranking
  • Query Analysis
  • Text Mining for Search
  • User Behavior Modeling
  • Evaluation Methodologies and Metrics
  • Interactive Search and Result Presentation
  • Semantic Search
  • Natural Language Processing

    Our research directions for natural language processing include (but are not limited to):
  • Dialogue and Interactive Systems
  • Text Summarization
  • Information Extraction and Text Mining
  • Representation Learning
  • Natural Language Understanding
  • Machine Translation
  • Topic Modeling
  • Semantic Matching
  • Multimedia Retrieval

    Our research directions for multimedia retrieval include (but are not limited to):
  • Content Mining of Multimedia and Multimodal Web Data
  • Web-mediated Communities
  • Image and Video Retrieval
  • Image and Video Understanding
  • Object Detection and Recognition
  • Artificial Intelligence

    Our research directions for artificial intelligence include (but are not limited to):
  • Knowledge Representation
  • Crowdsourcing
  • Recommender Systems
  • Deep Metric Learning
  • Social Network

  • News


    2020-12-29 Shuaiqiang was invited to serve as Program Committee at KDD 2021.

    2020-11-09 Shuaiqiang was invited to serve as Program Committee at SIGIR 2021.

    2020-08-08 Shuaiqiang was invited to serve as Senior Program Committee at IJCAI 2021.

    2020-07-19 Dawei was invited to serve as Senior Program Committee at The Web Conference 2021 (WWW 2021).

    2020-07-19 Shuaiqiang Wang was invited to serve as Program Committee at WSDM 2021.

    2020-06-27 Yiding Liu received Honourable Mention for Outstanding PhD Thesis Award, Nanyang Technological University, 2020.

    2020-06-17 Lixin Zou received Outstanding Graduate Award of Department of Computer Science, Tsinghua University, 2020.

    2020-06-06 Shuaiqiang Wang was invited to serve as Program Committee at WWW 2021.

    2020-05-20 Lixin Zou was invited to serve as Program Committee for the Short Research Paper Track Program Committee at CIKM 2020.

    Recent Publication

    Chao Huang, Jiashu Zhao, Dawei Yin. Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. In ICDE 2021.

    Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin and Yi Chang. Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. In SIGIR 2021.

    Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin. Pre-trained Language Model for Web-scale Retrieval in Baidu Search. In KDD 2021.

    Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhichong Cheng, Dawei Yin. Pre-trained Language Model based Ranking in Baidu Search. In KDD 2021.

    Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, and Shaozhang Niu. Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. In IJCAI 2021.

    Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin. Data-Efficient Reinforcement Learning for Malaria Control. In IJCAI 21.

    Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang. Unbiased Learning to Rank in Feeds Recommendation. In WSDM 2021.

    Yong Hu, Heyan Huang, Tian Lan, Xiaochi Wei, Yuxiang Nie, Jiarui Qi, Liner Yang, Xian-Ling Mao. Multi-task Learning for Low-Resource Second Language Acquisition Modeling. APWeb/WAIM 2020: 603-611

    Yuxiang Zhou, Lejian Liao, Yang Gao, Heyan Huang, Xiaochi Wei. A Discriminative Convolutional Neural Network with Context-aware Attention. ACM Trans. Intell. Syst. Technol. 11(5): 57:1-57:21 (2020)

    Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun. TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. In COLING 2020.

    Da Cao; Yawen Zeng; Xiaochi Wei; Liqiang Nie; Richang Hong ; Zheng Qin. Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization. In ACM MM 2020.

    Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin. Exemplar Guided Neural Dialogue Generation. In IJCAI 2020.

    Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin. Modeling Topical Relevance for Multi-Turn Dialogue Generation. In IJCAI 2020.

    Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin. Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. In CIKM 2020.

    Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Hui Liu, Jiliang Tang. Whole-Chain Recommendations. In CIKM 2020.

    Lixin Zou, Long Xia, Yulong Gu, Weidong Liu, Dawei Yin, Jimmy Huang and Xiangyu Zhao. Neural Interactive Collaborative Filtering. In SIGIR 2020.

    Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, and Ji-Rong Wen. Reinforcement Learning to Rank with Pairwise Policy Gradient. In SIGIR 2020.

    Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin and Dawei Yin. Time Matters: Sequential Recommendation with Complex Temporal Information. In SIGIR 2020.

    Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding and Dawei Yin. User-Inspired Posterior Network for Recommendation Reason Generation. In SIGIR 2020.

    Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang and Dawei Yin. Learning Dynamic Node Representations with Graph Neural Networks. In SIGIR 2020.

    Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao and Dawei Yin. Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Augmentation and Weighting. In ACL 2020.


    We are hiring researchers who are driven to innovate in areas on Information Retrieval, Natural Language Processing, Multimedia, Data Mining, Machine Learning and Artificial Intelligence. Please send your cv to , if interested.

    The Search Science @baidu is passionate on addressing theoretical and technical challenges in the dominant search engine in China, and the one of the largest AI and internet portals in the world. The team provides opportunities to innovate in a start-up mode and lets you contribute to novel projects and technologies that get deployed on baidu dot com. It is full of new challenges and opportunities for innovation. We are looking for world class, fun-loving researchers to join us!

    Job Requirements

    1. Master and PhD in Computer Science or equivalent.
    2. Experience in Search & Rank, Natural Language Processing, Multimedia, and other related areas.
    3. Publications at top-tier peer-reviewed conferences or journals.
    4. Proven track record of innovation in creating novel algorithms and advancing the state of the art.


    Baidu Technology Park,
    Haidian District,
    Beijing, China



    (+86 10)5992 8888