2021年获评江苏高校“青蓝工程”优秀青年骨干教师；
2020年荣获校优秀研究生指导教师；
2018年入选“香江学者计划”
2016年荣获青年教师讲课竞赛二等奖；
参与的“图像结构表征与识别的理论与方法”荣获2017年江苏省自然科学一等奖，排名第四
研究生竞赛获奖：
1）研究生李剑，2016年荣获“上海BOT大数据竞赛”亚军；
2）研究生李剑，2017年1月荣获神州专车“无人驾驶深度学习挑战赛”冠军；
3）研究生李剑，2017年9月荣获Udacity-DiDi无人驾驶全球挑战赛冠军；
4）研究生陈佳鑫，在2017年11月国家自然基金委主办的“中国智能车未来挑战赛”复杂环境水平认知能力测试前方车距监测任务中获得第三名。
5）研究生李剑的硕士学位论文《面向视觉感知的目标检测算法研究》被评为2020年度江苏省优秀专业学位硕士学位论文。
担任IEEE TIP，IEEE TNNLS， IEEE TMM， Pattern Recognition，Neurocomputing，ICPR，IJCNN等多个会议及期刊的审稿人
selected papers （详见http://www.patternrecognition.asia/qian/）
1. Jianjun Qian, Wai Keung Wong, Hengmin Zhang, Jin Xie and Jian Yang. Joint Optimal Transport with Convex Regularization for Robust Image Classification. IEEE Transactions on Cybernetics. To appear
2. Jianjun Qian, Shuming Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai and Jian Yang. Dual Robust Regression for Pattern Classification. Information Sciences, 546: 1014-1029, 2021.
3. Jianjun Qian, Xi Cheng, Mengkai Yan, Yicheng Gao and Jian Yang. Robust face perception methods with applications to human body temperature measurement system (in Chinese). Sci Sin Inform, 2020, doi: 10.1360/SSI-2020-0047
4.Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhi-hui Lai and Bob Zhang. Image Decomposition based Matrix Regression with Applications to Robust Face Recognition. Pattern Recognition, 102:107204, 2020
5. Hengmin Zhang, Jianjun Qian*, Bob Zhang, Jian Yang*, Chen Gong and Yang Wei. Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization with Convergence Guarantees. IEEE Transactions on Image Processing, 29:3132-3142, 2020.
6.Hengmin Zhang, Chen Gong, Jianjun Qian*, Bob Zhang, Chunyan Xu, Jian Yang*. Efficient Recovery of Low Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. IEEE Transactions on Neural Networks and Learning Systems, vol 30, No. 10, pp: 2916-2925, 2019.
7. Hengmin Zhang, Jianjun Qian*, Junbin Gao, Jian Yang* and Chunyan Xu. Scalable Proximal Jacobian Iteration Method with Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. IEEE Transactions on Neural Networks and Learning Systems, vol 30, No.9, pp:2825-2839, 2019.
8. Jian Yang #, Lei Luo #, Jianjun Qian #, Ying Tai, Fanlong Zhang, Yong Xu, Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions on Pattern analysis and machine intelligence, 2017, 39(1): 156-171. [# co-first author]
9. Jianjun Qian, Lei Luo, Jian Yang, FanLong Zhang and Zhouchen Lin. Robust Nuclear Norm Regularized Regression for Face Recognition with Occlusion. Pattern Recognition , 48(10), 3145-3159 (2015)
10. Jianjun Qian, Jian Yang and Yong Xu. Local Structure-based Image Decomposition for Feature Extraction with Applications to Face Recognition. IEEE Trans on Image Processing, 22 (9), 2013, 3591-3603
11. Jianjun Qian and Jian Yang et.al. Discriminative Histograms of Local Dominant Orientation (D-HLDO) for Biometric Image Feature Extraction. Pattern Recognition, 46 (2013) 2724–2739
12. Haobo Jiang, Jianjun Qian, Jin Xie, Jian Yang. Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration. IJCAI 2021: 772-778
13. Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang. Progressive Point Cloud Deconvolution Generation Network. ECCV (15) 2020: 397-413
14. Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian*, Jian Yang*, Chengjie Wang, Jilin Li and Feiyue Huang. DSFD:Dual Shot Face Detector. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2019.