supported by Basic Research Fund in Shenzhen Natural Science Foundation(Grant No.JCYJ20240813141441054);National Natural Science Foundation of China(Grant Nos.62461160311,62272315);National Key Research and Development Program of China(Grant No.2023YFF0725100)。
Recommender systems are effective in mitigating information overload,yet the centralized storage of user data raises significant privacy concerns.Cross-user federated recommendation(CUFR)provides a promising distribut...
supported by National Natural Science Foundation of China(Grant Nos.U23A20271,62325103);Application and Fundamental Research Planning Project in Liaoning Province(Grant No.2023TH2/101300197)。
Integrated sensing and communication(ISAC)is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities.However,t...
partially supported by National Natural Science Foundation of China(Grant No.62476061)。
For a long time,researchers have sought artificial intelligence(AI)that matches or exceeds human intelligence.AI agents,which are artificial entities capable of sensing the environment,making decisions,and taking acti...
supported by ARC Discovery Early Career Researcher Award(Grant No.DE200101465);ARC DP Project(Grant No.DP240101108).
As the adoption of explainable AI(XAI)continues to expand,the urgency to address its privacy implications intensifies.Despite a growing corpus of research in AI privacy and explainability,there is little attention on ...
supported by National Natural Science Foundation of China(Grant Nos.62225112,62271312,62101326,62301316,62401365)。
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition,compression,transmission an...
supported by National Natural Science Foundation of China(Grant Nos.62192733,62192731,61751210,62072007,61832009,62192730);supported by National Natural Science Foundation of China(Grant No.62302021)。
In the past decade,thanks to the powerfulness of deep-learning techniques,we have witnessed a whole new era of automated code generation.To sort out developments,we have conducted a comprehensive review of solutions t...
supported by National Key Research and Development Program of China(Grant No.2022ZD0119702);National Natural Science Foundation of China(Grant Nos.62003243,62103305,62088101);Shanghai Pujiang Program(Grant No.21PJ1413100);Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0100)。
In many practical applications,such as poker,chess,drug interdiction,cybersecurity,and national defense,players often have adversarial stances,i.e.,the selfish actions of each player inevitably or intentionally inflic...
This work was supported by Key Program of National Natural Science Foundation of China(Grant No.92067202);National Natural Science Foundation of China(Grant No.62071058);Key Laboratory of Universal Wireless Communications(BUPT),Ministry of Education,China(Grant No.KFKT-2022104).
Network architecture design is critical for optimizing industrial networks.Network architectures can be classified into small-scale networks and large-scale networks based on scale.Graph theory is an efficient mathema...
supported by National Natural Science Foundation of China(NSFC)and Israel Science Foundation(ISF)(Grant No.3698/21);provided by a research grant from the Estate of Harry Levine,the Estate of Avraham Rothstein,Brenda Gruss,and Daniel Hirsch,the One8 Foundation,Rina Mayer,Maurice Levy,and the Estate of Bernice Bernath。
Deep learning(DL),which includes deep reinforcement learning(DRL),holds great promise for carrying out real-world tasks that human minds seem to cope with quite readily.That promise is already delivering extremely imp...
partially supported by National Natural Science Foundation of China(Grant Nos.61925208,62222214,62102399,U22A2028,U19B2019);Beijing Academy of Artificial Intelligence(BAAI),CAS Project for Young Scientists in Basic Research(Grant No.YSBR-029);Youth Innovation Promotion Association CAS and Xplore Prize。
Chip design with machine learning(ML)has been widely explored to achieve better designs,lower runtime costs,and no human-in-the-loop process.However,with tons of work,there is a lack of clear links between the ML algo...