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Chao Zhang

Towards Transferable Unrestricted Adversarial Examples with Minimum Changes


Jan 04, 2022
Fangcheng Liu, Chao Zhang, Hongyang Zhang

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* First place in the CVPR'21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet 
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Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction


Dec 17, 2021
Yiyuan She, Jiahui Shen, Chao Zhang

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ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification


Dec 16, 2021
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang

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DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework


Dec 02, 2021
Chao Zhang, Zhijian Li, Hui Qian, Xin Du


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PMSSC: Parallelizable Multi-Subset based Self-Expressive Model for Subspace Clustering


Nov 24, 2021
Katsuya Hotta, Takuya Akashi, Shogo Tokai, Chao Zhang

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Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned


Nov 12, 2021
Xiaoye Qian, Chao Zhang, Jaswanth Yella, Yu Huang, Ming-Chun Huang, Sthitie Bom

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Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer


Nov 12, 2021
Jaswanth Yella, Chao Zhang, Sergei Petrov, Yu Huang, Xiaoye Qian, Ali A. Minai, Sthitie Bom

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GraSSNet: Graph Soft Sensing Neural Networks


Nov 12, 2021
Yu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom

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Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder


Nov 12, 2021
Chunzhi Gu, Shuofeng Zhao, Chao Zhang

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Approximating Optimal Transport via Low-rank and Sparse Factorization


Nov 12, 2021
Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian


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Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word


Nov 10, 2021
Chao Zhang, Jaswanth Yella, Yu Huang, Xiaoye Qian, Sergei Petrov, Andrey Rzhetsky, Sthitie Bom

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HRFormer: High-Resolution Transformer for Dense Prediction


Nov 07, 2021
Yuhui Yuan, Rao Fu, Lang Huang, Weihong Lin, Chao Zhang, Xilin Chen, Jingdong Wang

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* Accepted at NeurIPS 2021 
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iCallee: Recovering Call Graphs for Binaries


Nov 03, 2021
Wenyu Zhu, Zhiyao Feng, Zihan Zhang, Zhijian Ou, Min Yang, Chao Zhang

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Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas


Oct 28, 2021
Chao Zhang, Hanxin Zhang, Atif Khan, Ted Kim, Olasubomi Omoleye, Oluwamayomikun Abiona, Amy Lehman, Christopher O. Olopade, Olufunmilayo I. Olopade, Pedro Lopes, Andrey Rzhetsky


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Unrestricted Adversarial Attacks on ImageNet Competition


Oct 25, 2021
Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

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* CVPR-2021 AIC Phase VI Track2: Unrestricted Adversarial Attacks on ImageNet 
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Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition


Oct 08, 2021
Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman

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Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition


Sep 17, 2021
Guangzhi Sun, Chao Zhang, Philip C. Woodland

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* To appear in ASRU 2021 
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CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting


Sep 15, 2021
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

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* 16 pages, 4 figures 
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Self-Training with Differentiable Teacher


Sep 15, 2021
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha

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Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks


Sep 13, 2021
Chunzhi Gu, Yan Zhao, Chao Zhang

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Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework


Sep 11, 2021
Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao

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* EMNLP 2021 Findings 
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Training Algorithm Matters for the Performance of Neural Network Potential


Sep 08, 2021
Yunqi Shao, Florian M. Dietrich, Carl Nettelblad, Chao Zhang

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IEEE BigData 2021 Cup: Soft Sensing at Scale


Sep 07, 2021
Sergei Petrov, Chao Zhang, Jaswanth Yella, Yu Huang, Xiaoye Qian, Sthitie Bom

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* 4 pages, 4 figures, for IEEE Big Data Cup challenge 2021 
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Auto-encoder based Model for High-dimensional Imbalanced Industrial Data


Aug 05, 2021
Chao Zhang, Sthitie Bom

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* 12 pages, 7 figures and 5 tables, submitted to ICONIP 2021 
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Towards Making Deep Learning-based Vulnerability Detectors Robust


Aug 04, 2021
Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin

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