方秀
信息技术系，硕士生导师，讲师
方秀博士，2018年毕业于澳大利亚麦考瑞大学计算机科学技术学院，获工学博士学位。本科及硕士毕业于华中科技大学，获工学学士及工学硕士学位。主要研究方向为大数据分析、网络挖掘、数据集成、推荐系统、知识库、物联网等。目前已发表30余篇国际学术会议或期刊论文，包括计算机学会（CCF）推荐列表A类国际会议WWW、SIGMOD、IEEE INFOCOM、IJCAI、SIGIR、ACM MM，B类国际会议CIKM、DASFAA，C类国际会议ER、WISE、IJCNN、APWEB-WAIM、ADMA，SCI期刊WWWJ、ACM TIST、ACM TKDD等。主持及参与国家自然科学基金、澳大利亚ARC研究基金、上海市科学技术委员会自然科学基金、百万级横向等科研项目10余项。担任众多国际顶级与知名学术会议的PC Member及审稿人。指导研究生获2023年度工程类硕士专业学位优秀成果（学位论文）。
诚邀各位准研究生、本科生（大三及以上）加入实验室参与研究课题，积累项目经验，有意者请邮箱联系：xiu.fang@dhu.edu.cn
【研究方向】
大数据分析、网络挖掘、数据集成、推荐系统、知识库、物联网等
【近期主持或参与的科研项目】
1【横向】生鲜冻品产业互联网数字化赋能平台研究与设计，2022.04-2025.03，在研，主持。
2【横向】奢侈品销售数据挖掘系统设计，2022.03-2022,09,已结题，主持。
3【横向】纺织印染产品智能化系统建设，2022.10-2023.10，已结题，参与。
4【纵向】青年科技英才扬帆计划，大规模动态图中快速图匹配算法研究，2022.04-2025.03，在研，参与。
5【纵向】上海市科学技术委员会自然科学基金，基于Transformer模型的细粒度跨模态哈希检索研究，2022.04-2025.03，在研，参与。
6【纵向】上海市科学技术委员会自然科学基金，跨企业联邦学习的安全增强方法与激励机制设计，2022.04-2025.03，在研，参与。
7【纵向】中央高校自由探索项目，基于可信度评估和真值发现的大数据融合关键技术研究，2021.01-2023.12，已结题，主持。
8【纵向】太阳集团tcy8722青年教师启动项目, 针对互联网信息除杂的真值发现关键技术研究, 2021.01-2021.12，已结题，主持。
9【纵向】澳大利亚研究基金委ARC Discovery Project，What Can You Trust in the Large and Noisy Web? 2020.01-2022.12，已结题，参与。
10【纵向】澳大利亚研究基金委ARC Discovery Project，Reputation-based Trust Management in Crowdsourcing Environments，2018.01-2020.12，已结题，参与。
【主要研究成果，*为通讯作者】
(1) Yihong Zhang,Xiu Susie Fang, and Takahiro Hara, Evolving Social Media Background Representation with Frequency Weights and Co-occurrence Graphs, ACM Transactions on Knowledge Discovery from Data (TKDD), 17(7):1-17 (2023). (CCF B类国际期刊)
(2) Guohao Sun, Yu Shui,Xiu Fang*, and Jinhu Lu, Exact Graph Pattern Matching: Applications, Progress, and Prospects. Jounral of Donghua University (English Edition), (2023).
(3)Xiu Fang, Kang Wang, Guohao Sun, Suxin Si, and Hang Lv, Truth Discovery from Conflicting Data: A Survey. Jounral of Donghua University (English Edition), 1-26 (2022).
(4) Xiu Fang, Suxin Si, Guohao Sun, Quan Z. Sheng, Wenjun Wu, Kang Wang, and Hang Lv, Selecting Workers Wisely for Crowdsourcing When Copiers and Domain Experts Co-exist. Future Internet, 14(2): 1-22 (2022).(EI期刊)
(5)Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Jian Yang, and Anne H.H. Ngu. From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Transactions on Intelligent Systems and Technology (TIST), 11(6): 74:1-74:24 (2020).(SCI二区)
(6) Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Dianhui Chu, and Anne H. H. Ngu. SmartVote: A Full-Fledged Graph-Based Model for Multi-Valued Truth Discovery. World Wide Web Journal, 22(4): 1855-1885 (2019). (CCF B类国际期刊)
(7) Yihong Zhang, Claudia Szabo, Quan Z. Sheng, and Xiu Susie Fang. SNAF: Observation Filtering and Location Inference for Event Monitoring on Twitter. World Wide Web Journal, 21(2): 311-343 (2018). (CCF B类国际期刊)
(8)Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Anne H.H. Ngu, and Yihong Zhang. GrandBase: Generating Actionable Knowledge from Big Data. International Journal on PSU Research Review, (2017) (Invited Paper).
会议论文：
(9) Jinhu Lu, Guohao Sun, Xiu Susie Fang, Jian Yang and Wei He. A Contrastive Learning Framework for Dual-Target Cross-Domain Recommendation. ACM MM 2023.(CCF A类国际会议)
(10) Xiu Fang, Chenling Shen, Quan Z. Sheng, Guohao Sun, Yating Tang, and Haiyan Zhuo. A Multi-Truth Discovery Approach Based on Confidence Interval Estimation of Truths. ADMA 2023. (CCF C类国际会议)
(11) Wei He, Guohao Sun, Jinhu Lu,Xiu Fang*, Guanfeng Liu, and Jian Yang. Refined Node Type Graph Convolutional Network for Recommendation. ADMA 2023. (CCF C类国际会议)
(12) Xiu Fang, Chenling Shen, Guohao Sun, Hao chen, and Yating Tang. Truth Discovery of Source Dependency Perception in Dynamic Scenarios. APWEB-WAIM 2023. (CCF C类国际会议)
(13) Xiu Fang, Yating Tang, Guohao Sun, Chenling Shen, and Hao chen. Truth Discovery against Disguised Attack Mechanism in Crowdsourcing. APWEB-WAIM 2023.(CCF C类国际会议)
(14) Guohao Sun, Huirong Hua, Xiu Fang*, and Jinhu Lu. A Novel Causal Discovery Model for Recommendation System. APWEB-WAIM 2023.(CCF C类国际会议)
(15) Wei He, Guohao Sun, Jinhu Lu, and Xiu Susie Fang*. Candidate-Aware Graph Contrastive Learning for Recommendation. SIGIR 2023.(CCF A类国际会议)
(16)Xiu Susie Fang, Quan Z. Sheng, Guohao Sun, Shan Chang, Hongya Wang and Jian Yang. Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution. IJCNN 2023.(CCF C类国际会议)
(17) Jinhu Lu, Guohao Sun, Xiu Fang, Jian Yang, and Wei He, A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain Recommendation, DASFAA 2023.(CCF B类国际会议)
(18) Xiu Fang, Kang Wang, Guohao Sun, Yating Tang, and Chenlin Shen. An Ensemble Approach: Combining Wisdom from Truth Discovery Methods. ICCSMT 2022. (EI会议)
(19) Xiu Susie Fang, Suxin Si, Guohao Sun, Wenjun Wu, Kang Wang, and Hang Lv, A Domain-Aware Crowdsourcing System with Copier Removal. IoTCIT 2022. (EI会议)
(20) Xiaolin Wang, Guohao Sun, Xiu Fang*, Jian Yang, and Shoujin Wang*. Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. IJCAI 2022. (CCF A类国际会议)
(21) Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, and Yihong Zhang. Resolving Conflicts among Unbalanced Multi-Source Data When Multi-value Objects Exist. IEEE INFOCOM WKSHPS 2022. (CCF A类国际会议)
(22) Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Lina Yao, and Anne H.H. Ngu. SourceVote: Fusing Multi-Valued Data via Inter-Source Agreements. ER 2017. (CCF C类国际会议)
(23)Xiu Susie Fang. Truth Discovery from Conflicting Multi-Valued Objects. WWW 2017.(CCF A类国际会议)
(24) Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, and Anne H.H. Ngu. Value Veracity Estimation for Multi-Truth Objects via a Graph-Based Approach. WWW 2017. (CCF A类国际会议)
(25)Xiu Susie Fang, Quan Z. Sheng, and Xianzhi Wang. An Ensemble Approach for Better Truth Discovery. ADMA 2016.(CCF C类国际会议)
(26) Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li,Xiu Susie Fang, and Xiaofei Xu. Truth Discovery via Exploiting Implications from Multi-Source Data. CIKM 2016. (CCF B类国际会议)
(27) Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, and Xiaofei Xu. Empowering Truth Discovery with Multi-Truth Prediction. CIKM 2016. (CCF B类国际会议)
(28) Yihong Zhang, Claudia Szabo, Quan Z. Sheng, and Xiu Susie Fang. Classifying Perspectives on Twitter: Immediate Observation, Affection, and Speculation. WISE 2015. (CCF C类国际会议)
(29) Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Lina Yao, Xiaofei Xu, and Xue Li. An Integrated Bayesian Approach for Multi-Truth Discovery. CIKM 2015.(CCF B类国际会议)
(30) Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, and Lina Yao. Approximate Truth Discovery via Problem Scale Reduction. CIKM 2015.(CCF B类国际会议)
(31) Xiu Susie Fang, Xianzhi Wang, and Quan Z. Sheng. Ontology Augmentation via Attribute Extraction from Multiple Types of Sources. ADC 2015. (EI会议)
(32)Xiu Susie Fang. Generating Actionable Knowledge from Big Data. SIGMOD 2015. (CCF A类国际会议)
【讲授课程】
1 全英文研究生课程：《Introduction to Data Mining》
2 本科生课程：《Python语言程序设计》
3 本科生课程：《数据科学技术与应用》
【联系方式】
邮箱：xiu.fang@dhu.edu.cn
办公室：太阳集团tcy8722松江校区1号学院楼237