簡(jiǎn) 歷:
????研究員、博士生導(dǎo)師。在領(lǐng)域重要國(guó)際學(xué)術(shù)會(huì)議與期刊發(fā)表多項(xiàng)成果,獲國(guó)際最佳論文獎(jiǎng)、最佳論文選提名等。出版專(zhuān)著1部,授權(quán)發(fā)明專(zhuān)利12項(xiàng)。主持過(guò)2項(xiàng)重點(diǎn)項(xiàng)目總承課題,多項(xiàng)國(guó)家自然基金、北京基金、企業(yè)項(xiàng)目等。技術(shù)成果先后獲2020國(guó)家技術(shù)發(fā)明獎(jiǎng)二等獎(jiǎng),2023中國(guó)電子學(xué)會(huì)科技進(jìn)步二等獎(jiǎng)等獎(jiǎng)項(xiàng)。
????研究興趣包括:通用人工智能(AGI)所面臨的知識(shí)編輯、上下文忠實(shí)、安全生成等可信的大基礎(chǔ)模型技術(shù);面向高質(zhì)量數(shù)據(jù)構(gòu)建和治理的大圖數(shù)據(jù)挖掘、近似算法、圖壓縮與總結(jié)方法等。
????通用人工智能離不開(kāi)可信的模型推理與高質(zhì)量的數(shù)據(jù),而圖數(shù)據(jù)是許多重要應(yīng)用領(lǐng)域的基礎(chǔ)數(shù)據(jù)形態(tài),其規(guī)模巨大、交互關(guān)聯(lián)復(fù)雜,如社會(huì)網(wǎng)絡(luò)中人與人的交互、金融網(wǎng)絡(luò)中賬戶(hù)間的交易、細(xì)胞中蛋白質(zhì)間的交互、科技情報(bào)中創(chuàng)新主體與技術(shù)間的聯(lián)系等等。因此,一方面這種大圖數(shù)據(jù)的挖掘存在很多挑戰(zhàn),需要融合模型來(lái)更好解決復(fù)雜任務(wù)中無(wú)序化數(shù)據(jù)理解和推理問(wèn)題;另一方面以大圖挖掘技術(shù)構(gòu)造高質(zhì)量大規(guī)模知識(shí)圖,以大圖增強(qiáng)智能生成,以可信的大基礎(chǔ)模型技術(shù)推動(dòng)解決重要應(yīng)用領(lǐng)域中的關(guān)鍵問(wèn)題。
????研究強(qiáng)調(diào)可擴(kuò)展、魯棒、可解釋的方法。
????個(gè)人主頁(yè):https://shenghua-liu.github.io/?(及時(shí)更新)?
教育背景:?
2006/09 - 2007/12,美國(guó)加州大學(xué)洛杉磯分校(UCLA)訪學(xué)?
2005/09 - 2010/06,清華大學(xué),直接攻讀博士學(xué)位?
2001/08 - 2005/07,西安電子科技大學(xué),學(xué)士學(xué)位
科研與學(xué)術(shù)工作經(jīng)歷:?
2024/10至今,中國(guó)科學(xué)院計(jì)算技術(shù)研究所,研究員?
2014/09-2024/10,中國(guó)科學(xué)院計(jì)算技術(shù)研究所,副研究員?
2010/07-2014/09,中國(guó)科學(xué)院計(jì)算技術(shù)研究所,助理研究員?
2016/08-2017/08,卡內(nèi)基梅隆大學(xué) (CMU) 計(jì)算機(jī)科學(xué)系訪問(wèn)學(xué)者(訪問(wèn)導(dǎo)師Christos Faloutsos)
主要論著:
期刊文章:
[1]?Shenghua Liu, Bryan Hooi, Christos Faloutsos, "A Contrast Metric for Fraud Detection in Rich Graphs," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 31, Issue 12, pp. 2235-2248, Dec. 1 2019.
[2]?Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng, "Unified Dense Subgraph Detection: Fast Spectral Theory based Algorithms", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 36, Issue 3, pp. 1356 -1370, 2024.
[3]?Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng, "Time Series Anomaly Detection with Adversarial Reconstruction Networks," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 35, Issue 4, 01 April 2023, pp.4293-4306.
[4]?Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng, Node Embedding Preserving Graph Summarization , ACM Transactions on Knowledge Discovery from Data (TKDD), Vol 18, Issue 6, No. 145, pp. 1-19, 2024.
[5]?Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, and Shenghua Liu, Interrelated Dense Pattern Detection in Multilayer Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE) , Vol 36, Nov. 2024, pp. 6462-6476.
會(huì)議文章:
[1]?Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng, "SpecGreedy: Unified Dense Subgraph Detection ", In proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Belgium, Sept 2020. (最佳學(xué)生數(shù)據(jù)挖掘論文獎(jiǎng))
[2]?Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, and Xueqi Cheng, LPNL: Scalable Link Prediction with Large Language Models, In Proc. of the Findings of the Association for Computational Linguistics (ACL), 2024: 3615–3625.
[3]?Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, and Xueqi Cheng, SLANG: New Concept Comprehension of Large Language Models, In Proc. of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), 2024.
[4]?Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng, Graph Summarization for Preserving Spectral Characteristics , In Proc. of the SIAM International Conference on Data Mining (SDM24), pp. 271- 279, 2024.
[5]?Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng, A provable framework of learning graph embeddings via summarization, AAAI Conference on Artificial Intelligence (AAAI) 2023.
[6]?Xiangfeng Li, Shenghua?Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng. " FlowScope: Spotting Money Laundering Based on Graphs ," Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020.
[7]?Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, and Jing Ye. BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series, International Joint Conference on Artificial Intellince (IJCAI) 2019, pp4433-4439.
[8]?Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos, SMF: Drift-Aware Matrix Factorization with Seasonal Patterns, In Proc. of the SIAM International Conference on Data Mining (SDM19), 2019.
[9]?Shenghua Liu, Bryan Hooi, and Christos Faloutsos, "HoloScope: Topology-and-Spike Aware Fraud Detection," In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017, pp.1539-1548.
[10]?Bryan Hooi, Shenghua Liu, Asim Smailagic, and Christos Faloutsos, BEATLEX: Summarizing and Forecasting Time Series with Patterns, The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Macedonia, 2017.
專(zhuān)利:
[1] 劉盛華,程學(xué)旗,周厚銓?zhuān)瑒⒇?cái)政,沈華偉,一種同質(zhì)關(guān)系大圖的摘要提取方法及系統(tǒng),申請(qǐng)日:2021.03.23,授權(quán)日:2023.12.12,專(zhuān)利號(hào):ZL202110308958.7
[2] 劉盛華,石川,程學(xué)旗,李香峰,沈華偉,劉財(cái)政,一種稠密多部子圖的檢測(cè)方法及系統(tǒng),申請(qǐng)日:2020.01.21, ?授權(quán)日:2023.10.31,專(zhuān)利號(hào):ZL202010071390.7
[3] 劉盛華,程學(xué)旗,郭嘉豐,劉悅,廖華明,朱亞濤,社會(huì)標(biāo)簽自動(dòng)標(biāo)注的方法以及社會(huì)標(biāo)簽自動(dòng)標(biāo)注器,申請(qǐng)日:2011.09.07,授權(quán)日:2016.03.30,專(zhuān)利號(hào):ZL201110263798.5
[4] 程學(xué)旗,劉盛華,喻文健,張嘉寶,馮文杰,沈華偉,針對(duì)流式圖的密集子圖檢測(cè)方法及系統(tǒng),申請(qǐng)日:2018.12.10,授權(quán)日:2020-11-03,專(zhuān)利號(hào):ZL201811503421.0
[5] 程學(xué)旗,劉盛華,李福鑫,王元卓,劉悅,一種短文本數(shù)據(jù)的事件演化分析方法,申請(qǐng)日:2013.03.15,授權(quán)日:2015.07.29,專(zhuān)利號(hào):ZL201310082990.3
科研項(xiàng)目:
[1] 國(guó)家自然科學(xué)基金面上項(xiàng)目:大規(guī)模多屬性圖中的異常模式挖掘,2018/01-2021/12,主持
[2] 騰訊微信犀牛鳥(niǎo)專(zhuān)項(xiàng)研究計(jì)劃:帶有時(shí)域?qū)傩缘某笠?guī)模異構(gòu)網(wǎng)絡(luò)中群體欺詐行為檢測(cè)研究,2020.05–2021.12,已結(jié)題,主持
[3] 北京市自然科學(xué)基金面上項(xiàng)目:網(wǎng)絡(luò)群體觀點(diǎn)的形成與動(dòng)力學(xué)建模,2017/01-2019/12,主持
[4] 國(guó)家自然科學(xué)基金面上項(xiàng)目:在線社會(huì)媒體中用戶(hù)觀點(diǎn)傳播的建模與預(yù)測(cè)研究,2016/01-2016/12,主持
[5] 國(guó)家自然科學(xué)基金青年基金: 考慮用戶(hù)瀏覽行為的網(wǎng)絡(luò)短文本推薦的研究,2013/01-2015/12,主持
[6] 企業(yè)項(xiàng)目:圖挖掘算法研究及反洗錢(qián)應(yīng)用驗(yàn)證,2021/02-2023/12,180萬(wàn),主持
[7] 國(guó)家自然科學(xué)基金聯(lián)合基金項(xiàng)目(中心項(xiàng)目(X)):基于工業(yè)大數(shù)據(jù)的離散智能制造基礎(chǔ)理論與關(guān)鍵技術(shù)研究,2020/01-2023/12,課題參與、參研單位負(fù)責(zé)人
[8] 中國(guó)科學(xué)院戰(zhàn)略性先導(dǎo)科技專(zhuān)項(xiàng)(A類(lèi)):地球大數(shù)據(jù)科學(xué)工程,2018/01-2022/12,課題參與;
[9] 國(guó)家自然科學(xué)基金聯(lián)合項(xiàng)目: 大規(guī)模屬性異質(zhì)圖表示與挖掘方法,2022/01-2025/12,主要參與人
[10] 科技部973計(jì)劃:網(wǎng)絡(luò)大數(shù)據(jù)計(jì)算的基礎(chǔ)理論及其應(yīng)用研究,2014/01-2018/08,主要參與人
獲獎(jiǎng)及榮譽(yù):
(1) 國(guó)家技術(shù)發(fā)明獎(jiǎng)二等獎(jiǎng)(2020)
(2) 中國(guó)電子學(xué)會(huì)科技進(jìn)步二等獎(jiǎng)(2023)
(3) 最佳學(xué)生(數(shù)據(jù)挖掘)論文獎(jiǎng)(2020歐洲機(jī)器學(xué)習(xí)和數(shù)據(jù)挖掘會(huì)議ECML-PKDD)
(4) 最佳論文候選提名 (2010亞太設(shè)計(jì)自動(dòng)化會(huì)議ASP-DAC)
(5) 微軟(亞洲)學(xué)者 (MSRA Fellowship 2009)
劉盛華 研究員
研究方向:
所屬部門(mén):智能算法安全重點(diǎn)實(shí)驗(yàn)室
導(dǎo)師類(lèi)別:博導(dǎo)計(jì)算機(jī)軟件與理論
聯(lián)系方式:liushenghua@ict.ac.cn
個(gè)人網(wǎng)頁(yè):https://shenghua-liu.github.io/