| 2024 | AAAI | Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. | Haoran Jiang, Zhihao Sun, Yingjie Tian |
| 2024 | CVPR | D | Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang |
| 2023 | ICLR | Message-passing Selection: Towards Interpretable GNNs for Graph Classification. | Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su |
| 2023 | KDD | Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. | Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song |
| 2022 | ICML | Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. | Xiang Gao, Yuqi Zhang, Yingjie Tian |
| 2021 | IJCAI | Multi-view Feature Augmentation with Adaptive Class Activation Mapping. | Xiang Gao, Yingjie Tian, Zhiquan Qi |
| 2021 | IJCAI | Two-stage Training for Learning from Label Proportions. | Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian |
| 2019 | DASFAA | Incremental Discovery of Order Dependencies on Tuple Insertions. | Lin Zhu, Xu Sun, Zijing Tan, Kejia Yang, Weidong Yang, Xiangdong Zhou, Yingjie Tian |
| 2019 | ICCS | Factor Integration Based on Neural Networks for Factor Investing. | Zhichen Lu, Wen Long, Jiashuai Zhang, Yingjie Tian |
| 2019 | ICTAI | Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction. | Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo, Yingjie Tian |
| 2018 | DASFAA | Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification. | Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian |
| 2018 | ICCS | A New Method for Structured Learning with Privileged Information. | Shiding Sun, Chunhua Zhang, Yingjie Tian |
| 2018 | ICPR | Privileged Multi-Target Support Vector Regression. | Guoqiang Wu, Yingjie Tian, Dalian Liu |
| 2018 | IJCNN | Large-Scale Linear NPSVM via One Permutation Hashing. | Jingjing Tang, Yingjie Tian, Dalian Liu |
| 2017 | ICIP | Multi-view deep metric learning for image classification. | Dewei Li, Jingjing Tang, Yingjie Tian, Xuchan Ju |
| 2017 | IJCNN | Metric learning for multi-instance classification with collapsed bags. | Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian |
| 2016 | ICCS | Ramp Loss Linear Programming Nonparallel Support Vector Machine. | Dalian Liu, Dandan Chen, Yong Shi, Yingjie Tian |
| 2016 | IJCAI | Unsupervised Feature Learning from Time Series. | Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang |
| 2015 | ICCS | Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. | Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi |
| 2015 | ICDM | Pedestrian Detection Using Privileged Information. | Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi |
| 2015 | ICDM | Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. | Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi |
| 2014 | ICCS | Twin Support Vector Machine in Linear Programs. | Dewei Li, Yingjie Tian |
| 2014 | ICDM | Deep Twin Support Vector Machine. | Dewei Li, Yingjie Tian, Honggui Xu |
| 2014 | ICDM | Biased Support Vector Machine with Self-Constructed Universum for PU Learning. | Ying Zhang, Yingjie Tian, Zhiquan Qi |
| 2014 | ICNC | Nonparallel hyperplane support vector machine for PU learning. | Ying Zhang, Xuchan Ju, Yingjie Tian |
| 2013 | ICCS | Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. | Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu |
| 2013 | ICCS | Local and Global Regularized Twin SVM. | Yanan Wang, Xi Zhao, Yingjie Tian |
| 2013 | ICDM | How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. | Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi |
| 2012 | ICDM | Regular Multiple Criteria Linear Programming for Semi-supervised Classification. | Zhiquan Qi, Yingjie Tian, Yong Shi |
| 2012 | ICNC | Fast Localized Twin SVM. | Yanan Wang, Yingjie Tian |
| 2009 | ICCS | Smoothing Newton Method for L1 Soft Margin Data Classification Problem. | Weibing Chen, Hongxia Yin, Yingjie Tian |
| 2009 | ICCS | Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. | Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi |
| 2009 | ICDM | A New Kernel-Based Classification Algorithm. | Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi |
| 2009 | ISNN | Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. | Kun Zhao, Yingjie Tian, Naiyang Deng |
| 2008 | ICCS | KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis. | Chuanliang Chen, Yun-Chao Gong, Yingjie Tian |
| 2008 | ICCS | Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. | Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi |
| 2008 | ICPR | Spam filtering with several novel bayesian classifiers. | Chuanliang Chen, Yingjie Tian, Chunhua Zhang |
| 2008 | ICPR | Graph-based semi-supervised learning with redundant views. | Yun-Chao Gong, Chuanliang Chen, Yingjie Tian |
| 2008 | IJCNN | Unconstrained transductive Support Vector Machines and its application. | Yingjie Tian, Yunchuan Sun, Chuanliang Chen, Zhan Zhang |
| 2008 | SMC | Semi-supervised learning methods for network intrusion detection. | Chuanliang Chen, Yunchao Gong, Yingjie Tian |
| 2007 | ICCS | A Leave-One-Out Bound for | Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian |
| 2007 | ICCS | Feature Selection for VIP E-Mail Accounts Analysis. | Zhan Zhang, Yingjie Tian, Yong Shi |
| 2007 | ICCS | Unsupervised and Semi-supervised Lagrangian Support Vector Machines. | Kun Zhao, Yingjie Tian, Naiyang Deng |
| 2007 | ICDM | A Regularized Multiple Criteria Linear Program for Classification. | Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang |
| 2005 | CIS | A New Support Vector Machine for Multi-class Classification. | Zhiquan Qi, Yingjie Tian, Naiyang Deng |
| 2005 | CIS | Support Vector Classification with Nominal Attributes. | Yingjie Tian, Naiyang Deng |