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Qiang Wang

A comparative study of neural network techniques for automatic software vulnerability detection


Apr 29, 2021
Gaigai Tang, Lianxiao Meng, Shuangyin Ren, Weipeng Cao, Qiang Wang, Lin Yang

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* This paper has been published at April 28,2021. However, there are some experimental data issues in the published manuscript, which are caused by the calculation error of indicators. This paper is a revised version 
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Multiple Object Tracking with Correlation Learning


Apr 08, 2021
Qiang Wang, Yun Zheng, Pan Pan, Yinghui Xu

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* 11 pages, 5 figures, Accepted to CVPR 2021 
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A hybrid controller for safe and efficient collision avoidance control


Mar 29, 2021
Qiang Wang, Xinlei Zheng, Jiyong Zhang, Joseph Sifakis

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Accurate Visual-Inertial SLAM by Feature Re-identification


Feb 26, 2021
Xiongfeng Peng, Zhihua Liu, Qiang Wang, Yun-Tae Kim, Myungjae Jeon

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* 7 pages, 4 figures, Submitted to ICRA2021 
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Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce


Feb 09, 2021
Yanhao Zhang, Qiang Wang, Pan Pan, Yun Zheng, Cheng Da, Siyang Sun, Yinghui Xu

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* accepted by AAAI 2021 
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Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking


Feb 08, 2021
Nan Jiang, Kuiran Wang, Xiaoke Peng, Xuehui Yu, Qiang Wang, Junliang Xing, Guorong Li, Jian Zhao, Guodong Guo, Zhenjun Han

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* 13 pages, 8 figures, submitted to IEEE T-MM 
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Layer-Wise Multi-View Learning for Neural Machine Translation


Nov 03, 2020
Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu

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* COLING 2020 
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Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation


Oct 16, 2020
Qiang Wang, Tong Xiao, Jingbo Zhu

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* Accepted at Findings of EMNLP 2020 
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Automatic label correction based on CCESD


Oct 05, 2020
Jiawei Liu, Qiang Wang, Huijie Fan, Yandong Tang

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* code and dataset: https://github.com/nachifur-ljw/label_correction_based_CCESD 
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Rethinking Performance Estimation in Neural Architecture Search


May 20, 2020
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian

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DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks


Apr 22, 2020
Yikang Zhang, Jian Zhang, Qiang Wang, Zhao Zhong

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Data Poisoning Attacks on Federated Machine Learning


Apr 19, 2020
Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu

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* 8pages,16 figures 
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FADNet: A Fast and Accurate Network for Disparity Estimation


Mar 24, 2020
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu

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Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs


Feb 24, 2020
Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu

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Neural Machine Translation with Joint Representation


Feb 18, 2020
Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu

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* AAAI 2020 
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Multi-layer Representation Fusion for Neural Machine Translation


Feb 16, 2020
Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu

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* COLING 2018 
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Force-guided High-precision Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction


Feb 05, 2020
Ruoshi Wen, Kai Yuan, Qiang Wang, Shuai Heng, Zhibin Li

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* 8 pages, 11 figures, to be published on IEEE Robotics and Automation Letters. For the attached video, see https://youtu.be/0AotKaWFJDU 
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BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search


Dec 24, 2019
Muyuan Fang, Qiang Wang, Zhao Zhong

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Adversarial AutoAugment


Dec 24, 2019
Xinyu Zhang, Qiang Wang, Jian Zhang, Zhao Zhong

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* ICLR2020 
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IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation


Dec 20, 2019
Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu

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Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees


Nov 21, 2019
Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu

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* 11 pages 
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Anchor Diffusion for Unsupervised Video Object Segmentation


Oct 24, 2019
Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr

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* To appear in ICCV 2019 
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Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models


Sep 22, 2019
Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu

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* There are some technical mistakes, and need to be carefully revised. So we choose to withdraw 
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Learning Deep Transformer Models for Machine Translation


Jun 05, 2019
Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao

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* Accepted by ACL 2019 
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A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks


Jan 14, 2019
Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu

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* 12 pages 
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Deeper and Wider Siamese Networks for Real-Time Visual Tracking


Jan 08, 2019
Zhipeng Zhang, Houwen Peng, Qiang Wang

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Vector and Line Quantization for Billion-scale Similarity Search on GPUs


Jan 02, 2019
Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao

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