Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Fuli Feng"'
Publikováno v:
AI Open, Vol 4, Iss , Pp 175-182 (2023)
The rapid development of AI technologies has found numerous applications across various domains in human society. Ensuring fairness and preventing discrimination are critical considerations in the development of AI models. However, incomplete informa
Externí odkaz:
https://doaj.org/article/e42037641d864261b9e734e3858f6726
Autor:
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Publikováno v:
AI Open, Vol 4, Iss , Pp 80-90 (2023)
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Models (LLMs) have demonstrated exceptional capabilities in text understa
Externí odkaz:
https://doaj.org/article/eb4eadd07c0a4203b546205d0388b406
Autor:
SHENGYU ZHANG1 sy_zhang@zju.edu.cn, TAN JIANG1 jiangtan@zju.edu.cn, KUN KUANG1 kunkuang@zju.edu.cn, FULI FENG2 fulifeng93@gmail.com, JIN YU3 yujin.yujin@alibaba-inc.com, JIANXIN MA3 jason.mjx@alibaba-inc.com, ZHOU ZHAO1 zhaozhou@zju.edu.cn, JIANKE ZHU1 jkzhu@zju.edu.cn, HONGXIA YANG3 yang.yhx@alibaba-inc.com, TAT-SENG CHUA4 dcscts@nus.edu.sg, FEI WU1
Publikováno v:
ACM Transactions on Information Systems. Mar2024, Vol. 42 Issue 2, p1-31. 31p.
Publikováno v:
ACM Transactions on Information Systems. 41:1-23
In recommender system, some feature directly affects whether an interaction would happen, making the happened interactions not necessarily indicate user preference. For instance, short videos are objectively easier to be finished even though the user
Publikováno v:
ACM Transactions on Information Systems. 41:1-39
While recent years have witnessed a rapid growth of research papers on recommender system (RS), most of the papers focus on inventing machine learning models to better fit user behavior data. However, user behavior data is observational rather than e
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:2297-2309
Explainability is crucial for probing graph neural networks (GNNs), answering questions like "Why the GNN model makes a certain prediction?". Feature attribution is a prevalent technique of highlighting the explanatory subgraph in the input graph, wh
Autor:
Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-15
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-10
Publikováno v:
ACM Transactions on Information Systems. Jan2024, Vol. 42 Issue 1, p1-27. 27p.
Publikováno v:
Proceedings of the ACM Web Conference 2023.