Emily@NPTU

About Me

Big Data Database Analysis and Applications
Includind data collection, storage, management, and analysis using advanced database technologies and analytical tools. The objective is to support decision-making, trend forecasting, and behavioral analysis. Applications from financial market predictions to healthcare, logistics optimization, and beyond

Multimodal Database
Integrating text, images, sound, and video enriches content and enhances the learning experience. These databases make teaching more interactive and diverse, helping students better understand and absorb knowledge.

Applications of Machine Learning and Deep Learning
Applications for predicting climate change and monitor ecosystems, aiding in risk assessment and market trend analysis.

Assistant Professor of Dept. CSIE, NPTU
2021.08 ~ Now

R.D. Consultant - Seknova.com
2018.08 ~ 2021.07

Ph.D. Researcher of Dept. CSIE, NCKU
2019.08 ~ 2021.07

Ph.D. Researcher of Office of Research and Development, NYCU
2018.10 ~ 2019.07

P.T. Assistant Professor of Dept. Maritime Information and Technology, NKUST
2016.08 ~ 2018.08

Ph.D. Researcher of College of Electrical Engineering & Computer Science, NCKU
2015.12 ~ 2016.08

Assistant Professor of Dept. MIS, Fotech
2010.08 ~ 2014.08

Ph.D. of dept. of CSIE, NCKU, Taiwan
Advanced Database Lab

Master of dept. of CSIE, NCKU, Taiwan
Advanced Database Lab

Bechalor of dept. of CSIE, TKU, Taiwan
Multimedia Lab

2024 離島研討會佳作論文獎
基於提示工程的智能合約漏洞偵測機制

2023 數位生活科技研討會最佳論文候選
基於圖對比學習的人體姿勢搜尋系統

2022 台灣網際網路研討會最佳論文候選
基於模型融合及對比學習的中文成語推薦模型

2021 AIdea 國立臺灣文學館典藏文物劣化辨識競賽
9 名 /228 名參賽，工研院，國立臺灣文學館主辨 (CV 競賽)。

2021 「自動光學瑕疵檢測競賽」
9 名/487 隊伍，工研院主辨 (CV 競賽)。

國科會計畫, 113/08/01-114/07/31, 計畫主持人, 基於計程車載客紀錄套用強化學習與遷移學習為駕駛推薦客製化之巡航路線之應用
國科會計畫, 111/08/01-112/07/31, 計畫主持人, 在時變路網中結合共享運具與大眾運輸系統之最快路徑推薦
資設學院 , 111/05/01-111/12/31, 計畫主持人, 應用圖神經網路於空氣汙染 PM2.5 之估計及預測研究
國科會計畫, 100/08/01-101/07/31, 計畫主持人, 在空間環境中處理最近集合正面查詢與最遠集合負面查詢的系統機制
國科會計畫, 099/11/01-100/10/31, 計畫主持人, 在分散式環境下利用摘要機制支援天際線查詢之研究及實作

The Intelligent Data Analysis and Application Lab (IDAA)

智慧資訊分析與應用實驗室

Our lab uses big data predictive analytics and machine learning techniques to analyze complex big data sets. Through data analysis, we address challenges across various fields. This includes enhancing healthcare and research, optimizing factory equipment and management, improving everyday life, and aiding agricultural development. Our goal is to ensure that data analysis and information applications are effectively implemented in relevant areas.

丁全宏

Master 111

張芝語

Master 112

Somewhere out - 密室逃脫遊戲

專題 110

多媒體與數位創新組-優勝

陳聖峰, 李富麒, 邱遵樺, 林偉聖, 馬永霖

三維防災模擬互動式平台-以台北市文山區為例

專題 112

陳揚, 陳逸楷, 張開星, 黃楷傑, 曾綉茹

Publications

Journal Papers

I-Fang Su, Yu-Chi Chung, Chiang Lee, Pin-Man Huang (2023, Dec). Effective PM2.5 concentration forecasting based on multiple spatial-temporal GNN for areas without monitoring stations.. Expert Systems with Applications, 234. (SCI). nstc 111-2635-E-153-001.
I-Fang Su, Ping Lei Lin, Yu-Chi Chung, Chiang Lee (2023, Nov). Forecasting of Taiwan's weighted stock Price index based on machine learning.. Expert Systems, 40(9) . (SCI).
I-Fang Su, Ding-Li Chen, Chiang Lee, Yu-Chi Chung: Finding Visible kNN Objects in the Presence of Obstacles within the User's View Field †. ISPRS Int. J. Geo Inf. 8(3): 151 (2019)
Yu-Chi Chung, I-Fang Su, Chiang Lee: k-most suitable locations selection. GeoInformatica 22(4): 661-692 (2018)
Yu-Chi Chung, I-Fang Su, Chiang Lee, Pei-Chi Liu: Multiple k nearest neighbor search. World Wide Web 20(2): 371-398 (2017)
Yu-Chi Chung, I-Fang Su, Chiang Lee: Efficient computation of combinatorial skyline queries. Inf. Syst. 38(3): 369-387 (2013)
Yu-Chi Chung, I-Fang Su, Chiang Lee: An efficient mechanism for processing similarity search queries in sensor networks. Inf. Sci. 181(2): 284-307 (2011)
I-Fang Su, Yu-Chi Chung, Chiang Lee, Yi-Ying Lin: Efficient skyline query processing in wireless sensor networks. J. Parallel Distributed Comput. 70(6): 680-698 (2010)
I-Fang Su, Yu-Chi Chung, Chiang Lee: Top-k Combinatorial Skyline Queries. DASFAA (2) 2010: 79-93

Conference Papers

蔡易賢,蘇溢芳, 鍾毓驥: 基於提示工程的智能合約漏洞偵測機制, 第二十二屆離島研討會, 2024 May, 金門,台灣.
蘇溢芳, 丁全宏, 張芝語: 基於微表情與肢體辨識分析學生情緒用以辨別學習成效, 第二十二屆離島研討會, 2024 May, 金門,台灣.
Yu-Chi Chung, I-Fang Su: Recommending the fastest path to commuters by using shared vehicles and public transportation systems under time-dependent road networks, 6th IEEE International Conference on Knowledge Innovation and Invention 2023, Hokkaido, Japan.
蘇溢芳, 鍾毓驥, 邱宜靜, 李強: IRCCHash：Image Retrieval Based on Contrastive Clustering Hashing, 第二十一屆離島研討會, 2023 May, 宜蘭,台灣.
廖彥鈞, 蘇溢芳,廖子瑜,鍾毓驥: 基於圖對比學習的體姿勢搜尋系統, 2023年數位生活科技研討會, 2023.05, 高雄, 台灣
Yen-Chun Liao; Tz-Yu Liao; I-Fang Su; Yu-Chi Chung: A Pose Retrieval System Based On Skeleton Contrastive Learning. 9th IEEE International Conference on Applied System Innovation 2023 (IEEE-ICASI 2023. April), Tokyo (Chiba), Japan.
顏依靚,黃冠萱,陳詩涵,高崇烜,高煜倫,鍾毓驥,蘇溢芳（2022年12月）。基模型融合及對比學習的中文成語推薦模型。TANET 2022 台灣網際網路研討會，台灣,桃園。
廖家興, 鍾毓驥, 蘇溢芳, 李強（2021年05月）。結合共享運具與大眾運輸系統於時間相依路網的最快路徑規劃。The Symposium on Digital Life Technologies 2021 (DLT 2021)，台灣,屏東
鄭秀嘉, 蘇溢芳, 鍾毓驥, 李強（2021年05月）。考慮時變行程時間與時間窗限制的團體排程問題。The Symposium on Digital Life Technologies 2021 (DLT 2021)，台灣,屏東。
黃品嫚,蘇溢芳,鍾毓驥,李強（2021年05月）。基於遞歸圖神經網路之PM2.5 預測。DLT 2021 數位生活科技研討會，台灣,屏東。
林品磊,鍾毓驥,蘇溢芳,李強（2020年06月）。基於機器學習之台灣加權股價指數預測。2020數位生活科技研討會。科技部：108-2811-E-006-546。
趙珮均,鍾毓驥,蘇溢芳,李強（2020年06月）。群組旅程規劃及排程之研究。2020數位生活科技研討會。科技部：108-2622-E-006-020-CC3。
李壯, 鍾毓驥, 蘇溢芳, 李強（2019年06月）。基於多人查找top-k個地理及文本相關群。。2019年第十九屆數位生活科技研討會，高雄,台灣
I-Fang Su, Yu-Chi Chung, Wang-Guan Leung, Chiang Lee (2019, Jul). Finding the Most Influential Bundle. International Conference on Innovative Computing and Management Science 2019, Osaka, Japan.
Yu-Chi, Chung, I-Fang Su, Chaing Lee, and Ding-Li Chen (2018, Aug). Finding Visible kNN Objects with the View Field Constraint. The first international cognitive cities conference (IC3 2018), Okinawa, Japan
Yu-Chi Chung, I-Fang Su, Chiang Lee, Chao-Yue He: Finding the personal fitness trip plan in road networks. WOCC 2018: 1-2
蘇溢芳，廖勝廉，李強，鍾毓驥（2018年08月）。競爭環境下商品訂價系統隨意及感測網路研討會 (WASN 2018)，桃園台灣。
梁汪鸛, 鍾毓驥, 蘇溢芳, 李強（2018年06月）。透過reverse top-k 識別 top-m 最具影響力的組合。2018數位生活科技研討會 (DLT 2018)，台中台灣。
何超越,鍾毓驥,蘇溢芳,李強（2017年05月）。在道路網路上的個人化最緊密出行計畫查詢。離島研討會，金門台灣。
陳鼎立,鍾毓驥,蘇溢芳,李強（2017年05月）。動態環境下針對特定可視範圍限制的k個最鄰近可視物件查詢。離島資訊技術與應用研討會，金門台灣
Yu-Chi Chung, I-Fang Su, Chiang Lee, and Gary Gu (2017, Aug). An efficient distributed range query processing algorithm on LiDAR data. International Conference on Ubi-Media Computing and Workshops, Pattaya, Tailand
Yu-Chi Chung, I-Fang Su, Chiang Lee, Pin-Chieh Huang: Finding All Competitive Products Using the Dominant Relationship Analysis. IIH-MSP 2015: 133-137
Yuan-Ko Huang, I-Fang Su, Lien-Fa Lin, Yu-Chi Chung: Efficient Processing of Updates for Moving Objects with Varying Speed and Direction. AINA 2013: 854-861
Yuan-Ko Huang, Lien-Fa Lin, Yu-Chi Chung, I-Fang Su: Continuous Min-Max Distance Bounded Query in Road Networks. APWeb 2012: 423-434
I-Fang Su, Yu-Chi Chung, Chiang Lee: Top-k Combinatorial Skyline Queries. DASFAA (2) 2010: 79-93
I-Fang Su, Yu-Chi Chung, Chiang Lee: Finding Similar Answers in Data-Centric Sensor Networks. SUTC 2008: 217-224
Yu-Chi Chung, I-Fang Su, Chiang Lee: Supporting Multi-Dimensional Range Query for Sensor Networks. ICDCS 2007: 35
I-Fang Su, Chih-Horng Ke, Chiang Lee: Adaptive Resource Management in Sensor Network using Radius Configuration Algorithms. Wireless and Optical Communications 2006

I-Fang Su (Emily)

箴言 16:9 人心籌算自己的道路，惟耶和華指引他的腳步。

願我所說、所行都為榮耀祢名。

Contact

TEL : (08) 766-3800 Ext.32651

Email : ifang.su at mail.nptu.edu.tw