簡 歷：
許倩倩，中科院計算所研究員，博士生導師，國家優秀青年基金獲得者。IEEE杰出會員，CCF高級會員，CSIG高級會員。研究領域為數據挖掘、機器學習和跨媒體計算，主要關注群智計算和知識圖譜等，已在TPAMI、IJCV、TIP、TKDE、ICML、NIPS、CVPR、ECCV、AAAI、IJCAI、ACM Multimedia等CCF-A類期刊和會議上發表論文60余篇。先后獲得：吳文俊人工智能自然科學獎一等獎、中國圖象圖形學學會石青云女科學家獎、吳文俊人工智能優秀青年獎、中國人工智能學會最佳青年科技成果獎、ACM中國SIGMM新星獎、中國人工智能學會優秀博士學位論文、中國計算機學會優秀博士學位論文提名、中科院百篇優秀博士學位論文、中科院青促會會員、中科院院長優秀獎、CCF-騰訊犀牛鳥科研基金、首屆CAAI-華為MindSpore學術獎勵基金等獎勵。2015年至今指導/聯合指導博士生和碩士生10余名，其中1人次獲得中國電子學會優博，1人次獲得微軟學者獎學金，1人次入選2021年度AI華人新星榜單，1人次獲得百度獎學金全球20強，1人次獲得中科院院長特別獎，2人次獲得中科院百篇優秀博士學位論文，1人次獲得中科院朱李月華優秀博士生獎，2人次獲得中科院院長優秀獎，5人次獲得博士生/碩士生國家獎學金，1人次獲得海英之星獎學金，3人次獲得所長特別獎，2人次獲得所長優秀獎。?
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2022.09—至今?中科院計算技術研究所智能信息處理重點實驗室?研究員
2018.03—2022.09?中科院計算技術研究所智能信息處理重點實驗室?副研究員?
2015.10—2018.03?中科院信息工程研究所信息安全國家重點實驗室?副研究員?
2015.07—2015.10?中科院信息工程研究所信息安全國家重點實驗室?助理研究員?
2013.07—2015.07?北京大學國際數學中心?博士后?
2007.09—2013.07?中國科學院大學?計算機科學與技術學院?博士生?
主要論著：
期刊文章：
[TPAMI 22] Zhiyong Yang,?Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Two-way Partial AUC with an End-to-end Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.?(Regular paper, DOI:10.1109/TPAMI. 2022.3185311)
[TPAMI 22] Ke Ma,?Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, and Qingming Huang. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.?(Regular paper, DOI: 10.1109/TPAMI.2022.3190939)
[TPAMI 22] Zitai Wang,?Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang. Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.?(Regular paper, DOI: 10.1109 /TPAMI.2022.3199970)
[TPAMI 22]?Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao and Qingming Huang. Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(6): 3154–3169, Jun. 2022.?(Regular paper)
[TPAMI 22] Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He,?Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Regular paper, DOI: 10.1109/TPAMI.2022.3208419)
[TPAMI 21] Zhiyong Yang,?Qianqian Xu, Xiaochun Cao and Qingming Huang. Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 43(11):4094–4110, Nov. 2021.?(Regular paper)
[TPAMI 21] Ke Ma,?Qianqian Xu, Jinshan Zeng, Xiaochun Cao and Qingming Huang. Poisoning Attack against Estimating from Pairwise Comparisons. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(10): 6393–6408, Oct. 2022.?(Regular paper)
[TPAMI 21] Zhiyong Yang,?Qianqian Xu, Shilong Bao, Xiaochun Cao and Qingming Huang. Learning with Multiclass AUC: Theory and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),?44(11): 7747–7763, Nov. 2022.?(Regular paper)
[TPAMI 21] Tianwei Cao,?Qianqian Xu, Zhiyong Yang and Qingming Huang. Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(11): 8449–8464, Nov. 2022.?(Regular paper)
[TPAMI 21] Shilong Bao,?Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.?(Regular paper, DOI: 10.1109/TPAMI.2022.3141095)
[TPAMI 19]?Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang and Yuan Yao. From Social to Individuals: A Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(4): 844–856, Apr. 2019.?(Regular paper)
[IJCV 21]?Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang and Yuan Yao. Evaluating Visual Properties via Robust HodgeRank. International Journal of Computer Vision (IJCV), 129(5): 1732–1753, Mar. 2021.?(Regular paper)
會議文章：
[ICML 22] Wenzheng Hou,?Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang. AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. International Conference on Machine Learning (ICML), 8903–8925, 2022.
[ICML 21] Zhiyong Yang,?Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. International Conference on Machine Learning (ICML), 11820–11829, 2021.?(Long talk)
[ICML 16]?Qianqian Xu, Jiechao Xiong, Xiaochun Cao and Yuan Yao. False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking. International Conference on Machine Learning (ICML), 1282–1291, 2016.?(Oral)
[NeurIPS 22] Peisong Wen,?Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
[NeurIPS 22] Zitai Wang,?Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OpenAUC: Towards AUC-Oriented Open-Set Recognition. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
[NeurIPS 22] Shilong Bao,?Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
[NeurIPS 22] Zongsheng Cao,?Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
[NeurIPS 22] Huiyang Shao,?Qianqian Xu, Zhiyong Yang, Shilong Bao and Qingming Huang. Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
[NeurIPS 21] Peisong Wen,?Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. Annual Conference on Neural Information Processing Systems (NeurIPS), 5025–5037, 2021.
[NeurIPS 19]?Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang and Yuan Yao. iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. Annual Conference on Neural Information Processing Systems (NeurIPS), 3896–3906, 2019.
[NeurIPS 19] Yangbangyan Jiang,?Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. DM2C: Deep Mixed-Modal Clustering. Annual Conference on Neural Information Processing Systems (NeurIPS), 5880–5890, 2019.?(Spotlight)
[NeurIPS 19] Zhiyong Yang,?Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang. Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. Annual Conference on Neural Information Processing Systems (NeurIPS), 5846–5857, 2019.
專利：
[1] 一種視頻質量評價方法，發明專利，專利號：201110195375.4.
[2] 一種視頻質量客觀評價方法，發明專利，專利號：201110194206.9.
[3] 一種推薦模型的訓練方法、介質、電子設備和推薦模型，發明專利，專利號：202011109159.9.
[4] 融合元路徑語義的推薦方法及系統，發明專利，申請號：202110198542.4
[5] 一種用于冷啟動廣告點擊率預估模型的元模型訓練方法，發明專利，申請號：202011209043.2.
[6] 一種知識圖譜嵌入模型的訓練方法、系統和電子設備，發明專利，申請號：202011040457.7.
[7] 一種基于協同知識圖譜的個性化推薦方法，發明專利，申請號：202011187518.2.
[8] 基于多幾何模型融合的結構一致性運動分割方法和系統，發明專利，申請號：202110220558.0.
[9] 針對排序系統魯棒性的評估方法及系統，發明專利，申請號：202110172338.5.
[10] 基于深度PU學習與類別先驗估計的數據分類方法及系統，發明專利，申請號：202111591020.7.
科研項目：
1.?國家自然科學基金優秀青年科學基金，基于幾何拓撲的群智計算研究，在研，項目負責人?
2.?國家自然科學基金面上基金，基于網絡眾包的主觀視覺屬性偏序算法研究，在研，項目負責人?
3.?國家自然科學基金面上基金，基于幾何拓撲的網絡眾包策略研究，已結題，項目負責人??
4.?北京市自然科學基金面上基金，基于幾何拓撲的網絡眾包數據分析，已結題，項目負責人?
5.?國家自然科學基金青年基金，基于組合Hodge理論的圖像視頻質量評價方法，已結題，項目負責人?
6.?中國博士后科學基金特等資助，基于網絡眾包的圖像視頻質量評價方法研究，已結題，項目負責人??
7.?中國博士后科學基金面上資助一等，基于幾何拓撲的多媒體質量主觀評價方法研究，已結題，項目負責人?
獲獎及榮譽：
2020年?吳文俊人工智能自然科學一等獎??
2020年?CSIG石青云女科學家獎??
2018年?吳文俊人工智能優秀青年獎??
2018年?中國人工智能學會最佳青年科技成果獎??
2018年?ACM中國SIGMM新星獎??
2015年?中國人工智能學會優秀博士學位論文
2014年?中科院百篇優秀博士學位論文
許倩倩 研究員
研究方向：
所屬部門：智能信息處理重點實驗室
導師類別：博導計算機應用技術
聯系方式：xuqianqian@ict.ac.cn
個人網頁：https://qianqianxu010.github.io/