Jianqiao Ni 

Welcome to my homepage!  I am a first-year Ph.D. student in computer science at UPenn, under the supervision of Jianbo Shi(UPenn) and Stella X. Yu(Berkeley). Recently, I also collaborated with Tong Zhang(HKUST), Jitendra Malik(Berkeley), Kostas Daniilidis(UPenn) and Fernando De la Torre(CMU & Facebook). 

My research is now focusing on computer graphics, robotics, photography and machine learning.

I am currently a research intern at Facebook during 2019 summer. I gradudated with B.A. in Electronic Engineering from Tsinghua University. I was a research assistant at the Chinese University of Hong Kong (CUHK). I also served as a founding team member and researcher at a promising start-up company, Deephi Tech (acquired by Xilinx). I spent one year as a researcher at Tencent AI Lab.

Prior to my Ph.D. study, I had the privilege of doing research under (Chronologically) Ji Liu (Rochester CS), Dahua Lin (CUHK), Jun Zhu (Tsinghua CS) and Ning Chen (Tsinghua), I also conducted engineering with Yu Wang (Tsinghua EE) and Song Han (MIT). It has been my great honor to work with them. Thanks to their great efforts of supervising and inspiring me! 

Contact Email: wnjq@seas.upenn.edu  Wechat: zjnqhc.  Address: GRASP Laboratory, Levine Hall, 3330 Walnut Street, Philadelphia, PA 19104-6389. Note: I published papers using name Jianqiao Wangni.

Service:

Reviewer for JMLR, NIPS 2018, ICML 2019, NIPS 2019, ICCV 2019, UAI 2019, ICLR 2019, AAAI 2020, CVPR 2020.

Research:

[8] Trajectory Normalized Gradients for Distributed Optimization  [Arxiv]

Jianqiao Ni, Ke Li, Jianbo Shi, Jitendra Malik

[Category: Vision & Optimization]

[7] Towards Statistically Provable Geometric 3D Human Pose Recovery  [PDF]

Jianqiao Ni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi 

[Journal] SIAM Journal on Imaging Sciences (Society for Industrial and Applied Mathematics)

[Category: Vision & Statistics]

[6] Normalized Diversification  [PDF] [Arxiv]

Shaohui Liu*, Xiao Zhang*, Jianqiao Ni, Jianbo Shi 

2019 Conference on Computer Vision and Pattern Recognition

[CVPR 2019] [Category: Vision]

[5] Gradient Sparsification for Communication-Efficient Distributed Optimization [PDF]  [Arxiv]

Jianqiao Ni, Jialei Wang, Ji Liu, Tong Zhang 

The Thirty-second Annual Conference on Neural Information Processing Systems (NIPS). Dec, 2018, Montréal. 

[NIPS 2018] [Category: Optimization & Statistics]

[4] Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms [PDF]  [Arxiv] 

Jianqiao Ni 

The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). Feb 2018, New Orleans

[AAAI 2018 Oral] [Category: Optimization]  

[3] Learning Random Fourier Features by Hybrid Constrained Optimization  [Arxiv]

Jianqiao Ni, Jingwei Zhuo, Jun Zhu 

[2017] [Category: Learning] 

[2] Nonlinear Feature Extraction with Max-Margin Data Shifting   [PDF] 

Jianqiao Ni, Ning Chen 

The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). Feb 2016, Phoenix

[AAAI 2016 Oral] [Category: Learning]

[1] Hardware-Friendly Convolutional Neural Network with Even-Number Filter Size 

Song Yao, Song Han, Kaiyuan Guo, Jianqiao Ni, Yu Wang  

The Fifth International Conference on Learning Representations (ICLR 2016) 

[ICLR 2016] [Category: Vision & Hardware]

Patents:

[2] A Hand Gesture Recognition Algorithm and System on FPGA

Jianqiao Ni, Song Yao 

[Category: Vision & Hardware]

[1] A Visual Object Detection Algorithm and System on FPGA

Jianqiao Ni, Song Yao

[Category: Vision & Hardware]