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  1. Article

    Open Access

    A survey on large language model based autonomous agents

    Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with limited knowledge within isolated environments, which diverges si...

    Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang in Frontiers of Computer Science (2024)

  2. No Access

    Chapter and Conference Paper

    InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee

    After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee. The method learns printable ad...

    Yaxian Li, Bingqing Zhang, Guo** Zhao in Artificial Neural Networks and Machine Lea… (2022)

  3. No Access

    Chapter and Conference Paper

    Few-Shot Charge Prediction with Multi-grained Features and Mutual Information

    Charge prediction aims to predict the final charge for a case according to its fact description and plays an important role in legal assistance systems. With deep learning based methods, prediction on high-fre...

    Han Zhang, Zhicheng Dou, Yutao Zhu, Jirong Wen in Chinese Computational Linguistics (2021)

  4. No Access

    Article

    Information retrieval: a view from the Chinese IR community

    During a two-day strategic workshop in February 2018, 22 information retrieval researchers met to discuss the future challenges and opportunities within the field. The outcome is a list of potential research d...

    Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou in Frontiers of Computer Science (2020)

  5. No Access

    Book and Conference Proceedings

    Information Retrieval

    23rd China conference, CCIR 2017, Shanghai, China, July 13–14, 2017, Proceedings

    Jirong Wen, Jianyun Nie, Tong Ruan, Prof. Yiqun Liu in Lecture Notes in Computer Science (2017)

  6. No Access

    Article

    POTENTIAL: A highly adaptive core of parallel database system

    POTENTIAL is a virtual database machine based on general computing platforms, especially parallel computing platforms. It provides a complete solution to high-performance database systems by a ‘virtual processor+...

    Jirong Wen, Hong Chen, Shan Wang in Journal of Computer Science and Technology (2000)