Email: qi.qian [at] alibaba-inc [dot] com
I joined Alibaba in 2015. Before that, I obtained the Ph.D. degree in Computer Science from Department of Computer Science and Engineering, Michigan State University in August 2015, under the supervision of Dr. Rong Jin .
I received my B.Sc. and M.Sc. degrees in Computer Science from Nanjing University in June 2008 and June 2011, respectively. As a master student, I joined the LAMDA group and my supervisor was Dr. Zhi-Hua Zhou.
We are hiring research interns in Hangzhou. We look for candidates, who have a strong background on deep learning and can spend more than 3 months with us. If you are interested, please send your resume to my email.
Machine Learning: Distance Metric Learning, Multiple Clustering, Online Learning
Computer Vision: Fine-grained Visual Categorization, Representation Learning, Object Detection
|J. Hu, Q. Qian, J. Pei, R. Jin and S. Zhu. Finding Multiple Stable Clusterings. Knowledge and Information Systems (KAIS), 2016. DOI:10.1007/s10115-016-0998-9. ["Bests of ICDM 2015"]|
|Q. Qian, R. Jin, J. Yi, L. Zhang and S. Zhu. Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD). Machine Learning Journal (MLJ), 2015.|
|Q. Qian, L. Chen, H. Li, R Jin. DR Loss: Improving Object Detection by Distributional Ranking. In: Proceedings of the 33rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR'20), Seattle, WA, 2020. [Pre-Print PDF] [Code]|
|Q. Qian, J. Hu, H. Li. Hierarchically Robust Representation Learning. In: Proceedings of the 33rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR'20), Seattle, WA, 2020. [Pre-Print PDF] [Concepts in ImageNet]|
|Q. Qian, L. Shang, B. Sun, J. Hu, H. Li, R. Jin. SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. In: Proceedings of the International Conference on Computer Vision (ICCV'19), Seoul, Korea, 2019. [PDF] [Code]|
|Q. Qian, S. Zhu, J. Tang, R. Jin, B. Sun, H. Li. Robust Optimization over Multiple Domains. In: Proceedings of the 33rd AAAI Conference on Artifical Intelligence (AAAI'19), Honolulu, HI, 2019. [Pre-Print PDF]|
|Q. Qian, J. Tang, H. Li, S. Zhu and R. Jin. Large-scale Distance Metric Learning with Uncertainty. In: Proceedings of the 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR'18), Salt Lake City, UT, 2018. [Spotlight] [PDF]|
|G. Liu, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin and T. Zhao. The Opensesame NIST 2016 Speaker Recognition Evaluation System. In: Proceedings of the INTERSPEECH (INTERSPEECH'17), Stockholm, Sweden, 2017.|
|J. Hu, Q. Qian, J. Pei, R. Jin and S. Zhu. Finding Multiple Stable Clusterings. In: Proceedings of the 15th IEEE International Conference on Data Mining (ICDM'15), Atlantic City, NJ, 2015. [Invited to KAIS SI on "Bests of ICDM 2015"]|
|Q. Qian, R. Jin, S. Zhu and Y. Lin. Fine-Grained Visual Categorization via Multi-stage Metric Learning. In: Proceedings of the 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, 2015. [PDF] [Code]|
|Q. Qian, J. Hu, R. Jin, J. Pei and S. Zhu. Distance Metric Learning using Dropout: A Structured Regularization Approach. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'14), New York, NY, 2014. [PDF]|
|J. Yi, L. Zhang, R. Jin, Q. Qian and A. K. Jain. Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion. In: Proceedings of the 30th International Conference on Machine Learning (ICML'13), Atlanta, GA, 2013. [PDF]|
|Q. Qian, I. Baytas, R. Jin, A. Jain, S. Zhu. Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. arXiv:1512.01728, 2015.|
|Q. Qian, R. Jin, L. Zhang and S. Zhu. Towards Making High Dimensional Distance Metric Learning Practical (Code can be found from our CVPR'15 paper). arXiv:1509.04355, 2015.|
Journal Reviewer: TPAMI, TKDD, TIP, TMM, TBD, EAAI, NEUCOM
PC Member/Conference Reviewer: ICML18, NeurIPS18, AAAI19, ICLR19, PAKDD19, IJCAI19, ICCV19, NeurIPS19, AAAI20, ICLR20, PAKDD20, CVPR20, IJCAI20
|Last modifed on Mar 31, 2021 by Qi Qian.|