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开yun体育官网入口登录苹果
College of Computer Science and Software Engineering, SZU
廖好

副教授

高性能计算研究所

Email:haoliao@szu.edu.cn

廖好

       廖好,男, 副教授,博士生导师,于2015年5月在瑞士弗里堡大学获哲学博士学位。主要研究方向是信息挖掘与复杂系统交叉领域,信息传播与虚假新闻探测, 用户建模等研究,2015年加入开yun体育官网入口登录苹果,先后主持了3项国家自然科学基金(面上,应急管理,青年)、4项广东省基金、2项深圳市基础研究计划等多个纵向和包括微软亚洲研究院、腾讯、百度、平安等合作委托科研项目,参与了国家重点研发计划,国家自然科学基金-广东省联合基金等国家重点项目。申请和获得国家发明专利四十余项。担任40余个国际SCI期刊及ICML, NeurIPS, ICLR, WWW,ACL,WSDM, EMNLP、AAAI, ICWSM、Nature 子刊、PRL、国家科学评论、中国科学等计算机学会推荐A类会议和期刊程序委员会委员/审稿人。近年在SIGMOD、KDD、NeurIPS、WWW、ACL、EMNLP、AAAI等CSRanking顶会及CCF推荐期刊会议上发表多篇论文。兼任中国计算机学会高级会员,中国计算机学会普适计算专委委员,中国计算机学会协同计算与社会计算专委委员,中国计算机学会理论计算科学专委委员,中国工业与应用数学学会复杂系统与复杂网络专委委员。深圳市“孔雀计划”海外高层次人才, 开yun体育官网入口登录苹果荔园优青。

 

Recent Representative Publications:

  • Mingyang Zhou, Gang Liu, KeZhong Lu, Rui Mao, Hao Liao, Accelerating the decentralized federated learning via manipulating edges, To appear at The Web Conference 2024 (WWW 2024), Singapore, May. 2024. (CCF-A, CSRanking)
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  • Xu Huang, Jianxun Lian, Eric Wang, Hao Liao, Defu Lian, Xing Xie, A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems, To appear at The Web Conference 2024 (WWW 2024), Singapore, May. 2024. (CCF-A, CSRanking)
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  • Hao Liao, JiaHao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie, MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection, applied data science track, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, Aug. 2023. (CCF-A, CSRanking, Oral)
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  • Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao, Explainable Recommendation with Personalized Review Retrieval and Aspect Learning, 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, Jul. 2023. (CCF-A, CSRanking)
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  • Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen, Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2023), Seattle metropolitan area, WA, USA,  Jun. 2023. (CCF-A, CSRanking, Oral)
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  • Xin Li, Xiaojie Zhang, Peng JiaHao, Rui Mao, Mingyang Zhou, Xing Xie and Hao Liao, A Joint Learning Framework for Restaurant Survival Prediction and Explanation, 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, Dec. 2022. (CCF-B, CSRanking, Oral)
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  • Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie, FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov. 2022.   (CCF-A, CSRanking)
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  • Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie, Towards Fine-Grained Reasoning for Fake News Detection, 36th AAAI Conference on Artificial Intelligence (AAAI 2022), online, Feb. 2022. (CCF-A, CSRanking, Oral)
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  • Zheng Zhang, Jun Wan, Mingyang Zhou, Zhihui Lai, Claudio J Tessone, Guoliang Chen, Hao Liao, Temporal burstiness and collaborative camouflage aware fraud detection, Information Processing & Management, Vol. 60, Issue. 2, Mar. 2023. (CCF-B, 中科院大类1区)
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  • Hao Liao, Qi-Xin Liu, Ze-Cheng Huang, Ke-Zhong Lu, Chi Ho Yeung, Yi-Cheng Zhang, Accumulative Time Based Ranking Method to Reputation Evaluation in Information Networks, Journal of Computer Science and Technology, Vol. 37, Issue. 4, jul. 2022. (CCF-B, CCF-T1)
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  • 廖好, 黄晓敏, 吴子强, 周明洋, 毛睿, 汪秉宏,Network-Splitter:一种基于重叠社区的网络特征提取算法及其在链路预测中的应用,中国科学.信息科学,Vol. 51, Issue. 7, jun. 2021. (CCF-A)

 

 

所有研究生去向(截止2023年):

Jing SHEN(2015级硕)百度->腾讯

Xingtong WU(2016级硕)事业单位->开yun体育官网入口登录苹果博士生(传播学院)

Xiangyang WU(2016级硕)商汤

Xiaomin HUANG(2017级硕)腾讯(实习)->阿里巴巴

Mingkai LIU(2017级硕)MSRA(实习) -> 华为

Jiao WU (2018级硕) 字节跳动(实习)->字节跳动

Xiaojie ZHANG (2018级硕) 阿里巴巴(实习)->腾讯 ->深圳在编教师

Qixin LIU (2018级硕) 平安(实习)->腾讯

Ziqiang WU (2019级硕) 腾讯(实习)->腾讯 ->东莞公务员

Xin LI(2019级硕) 字节跳动(实习)-> 字节跳动

Juyang CAO (2019级硕) 微软苏州(实习)->微软苏州

Sheng BI (2020级硕) 腾讯(实习)-> BYD

Zhanyi HUANG (2020级硕) 华为(实习)->华为->中海油

Jiahao Peng (2020级硕)迈瑞(实习)->华为

Zheng Zhang (2020级博)->大学老师 (陈院士共同指导)

Hao Cheng(2021级硕)腾讯(实习)->美团

Songjian Zhou (2021级硕)MSRA(实习) ->深信服(暂定)

Shuo Wang (2021级硕) 华为(实习)-> 腾讯

Guanghua Li (2022级硕)

Wei Zhang (2022级硕)

Wensheng Lu (2022级硕)

Jiwei Zhang (2023级博)

Shilinglong Dai (2023级硕)

Chuanqi Chu (2023级硕)

Yong Zhang (2023级硕)

 

 

期待有想法,有自我驱动力的同学加入小组,除计算机大类专业同学,也欢迎有编程能力的理工非本专业同学 (特别欢迎理论物理、自动化、应用数学和统计专业),请联系haoliao AT szu.edu.cn。