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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(huì)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(zhì)量評(píng)價(jià)方法，發(fā)明專利，專利號(hào)：201110195375.4.

[2] 一種視頻質(zhì)量客觀評(píng)價(jià)方法，發(fā)明專利，專利號(hào)：201110194206.9.

[3] 一種推薦模型的訓(xùn)練方法、介質(zhì)、電子設(shè)備和推薦模型，發(fā)明專利，專利號(hào)：202011109159.9.

[4] 融合元路徑語(yǔ)義的推薦方法及系統(tǒng)，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202110198542.4

[5] 一種用于冷啟動(dòng)廣告點(diǎn)擊率預(yù)估模型的元模型訓(xùn)練方法，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202011209043.2.

[6] 一種知識(shí)圖譜嵌入模型的訓(xùn)練方法、系統(tǒng)和電子設(shè)備，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202011040457.7.

[7] 一種基于協(xié)同知識(shí)圖譜的個(gè)性化推薦方法，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202011187518.2.

[8] 基于多幾何模型融合的結(jié)構(gòu)一致性運(yùn)動(dòng)分割方法和系統(tǒng)，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202110220558.0.

[9] 針對(duì)排序系統(tǒng)魯棒性的評(píng)估方法及系統(tǒng)，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202110172338.5.

[10] 基于深度PU學(xué)習(xí)與類別先驗(yàn)估計(jì)的數(shù)據(jù)分類方法及系統(tǒng)，發(fā)明專利，申請(qǐng)?zhí)枺?/span>202111591020.7.