方秀
信息技術系⛑️，碩士生導師，講師
方秀博士🧕🏼🪖，2018年畢業於澳大利亞麥考瑞大學計算機科學技術沐鸣，獲工學博士學位🧎🏻♂️➡️。本科及碩士畢業於華中科技大學🧑🍼，獲工學學士及工學碩士學位🤿。主要研究方向為大數據分析、網絡挖掘、數據集成、推薦系統♜🙋♂️、知識庫、物聯網等。目前已發表30余篇國際學術會議或期刊論文，包括計算機學會（CCF）推薦列表A類國際會議WWW、SIGMOD🤷🏻♂️🌍、IEEE INFOCOM🔗👩🏻🍳、IJCAI、SIGIR🖖🏽、ACM MM，B類國際會議CIKM、DASFAA🔟，C類國際會議ER、WISE👧🏽、IJCNN、APWEB-WAIM、ADMA♐️，SCI期刊WWWJ👨🏻🦯、ACM TIST、ACM TKDD等。主持及參與國家自然科學基金☔️、澳大利亞ARC研究基金、上海市科學技術委員會自然科學基金、百萬級橫向等科研項目10余項。擔任眾多國際頂級與知名學術會議的PC Member及審稿人🧏。指導研究生獲2023年度工程類碩士專業學位優秀成果（學位論文）📶👦🏽。
誠邀各位準研究生、本科生（大三及以上）加入實驗室參與研究課題，積累項目經驗，有意者請郵箱聯系：xiu.fang@dhu.edu.cn
【研究方向】
大數據分析🤍、網絡挖掘、數據集成🪁、推薦系統👍🏽、知識庫、物聯網等
【近期主持或參與的科研項目】
1【橫向】生鮮凍品產業互聯網數字化賦能平臺研究與設計，2022.04-2025.03，在研，主持。
2【橫向】奢侈品銷售數據挖掘系統設計🍝，2022.03-2022,09,已結題🏝，主持。
3【橫向】紡織印染產品智能化系統建設🤳🏿，2022.10-2023.10，已結題，參與。
4【縱向】青年科技英才揚帆計劃，大規模動態圖中快速圖匹配算法研究，2022.04-2025.03，在研，參與🤌🏼🥠。
5【縱向】上海市科學技術委員會自然科學基金📀，基於Transformer模型的細粒度跨模態哈希檢索研究🧀，2022.04-2025.03🏋️♂️，在研🧑🏼🤝🧑🏼，參與👹。
6【縱向】上海市科學技術委員會自然科學基金🕑，跨企業聯邦學習的安全增強方法與激勵機製設計，2022.04-2025.03🐌，在研🏒，參與。
7【縱向】中央高校自由探索項目🈶，基於可信度評估和真值發現的大數據融合關鍵技術研究🐛，2021.01-2023.12，已結題，主持。
8【縱向】沐鸣娱乐青年教師啟動項目, 針對互聯網信息除雜的真值發現關鍵技術研究, 2021.01-2021.12，已結題，主持。
9【縱向】澳大利亞研究基金委ARC Discovery Project，What Can You Trust in the Large and Noisy Web? 2020.01-2022.12🩲📸，已結題🧤，參與。
10【縱向】澳大利亞研究基金委ARC Discovery Project，Reputation-based Trust Management in Crowdsourcing Environments，2018.01-2020.12，已結題，參與♋️。
【主要研究成果🐔，*為通訊作者】
(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類國際期刊)
(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二區)
(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類國際期刊)
(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類國際期刊)
(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).
會議論文🥷🏼：
(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類國際會議)
(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類國際會議)
(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類國際會議)
(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類國際會議)
(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類國際會議)
(14) Guohao Sun, Huirong Hua, Xiu Fang*, and Jinhu Lu. A Novel Causal Discovery Model for Recommendation System. APWEB-WAIM 2023.(CCF C類國際會議)
(15) Wei He, Guohao Sun, Jinhu Lu, and Xiu Susie Fang*. Candidate-Aware Graph Contrastive Learning for Recommendation. SIGIR 2023.(CCF A類國際會議)
(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類國際會議)
(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類國際會議)
(18) Xiu Fang, Kang Wang, Guohao Sun, Yating Tang, and Chenlin Shen. An Ensemble Approach: Combining Wisdom from Truth Discovery Methods. ICCSMT 2022. (EI會議)
(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會議)
(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類國際會議)
(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類國際會議)
(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類國際會議)
(23)Xiu Susie Fang. Truth Discovery from Conflicting Multi-Valued Objects. WWW 2017.(CCF A類國際會議)
(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類國際會議)
(25)Xiu Susie Fang, Quan Z. Sheng, and Xianzhi Wang. An Ensemble Approach for Better Truth Discovery. ADMA 2016.(CCF C類國際會議)
(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類國際會議)
(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類國際會議)
(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類國際會議)
(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類國際會議)
(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類國際會議)
(31) Xiu Susie Fang, Xianzhi Wang, and Quan Z. Sheng. Ontology Augmentation via Attribute Extraction from Multiple Types of Sources. ADC 2015. (EI會議)
(32)Xiu Susie Fang. Generating Actionable Knowledge from Big Data. SIGMOD 2015. (CCF A類國際會議)
【講授課程】
1 全英文研究生課程📥：《Introduction to Data Mining》
2 本科生課程🦴：《Python語言程序設計》
3 本科生課程🫎：《數據科學技術與應用》
【聯系方式】
郵箱👰🏽♀️🧜🏽♂️：xiu.fang@dhu.edu.cn
辦公室💖：沐鸣娱乐松江校區1號沐鸣樓237