Search Results for author: Tian Qiu

Found 8 papers, 4 papers with code

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

no code implementations10 Apr 2023 Lin Chen, Zhijie Jia, Tian Qiu, Lechao Cheng, Jie Lei, Zunlei Feng, Mingli Song

In this work, we propose a new paradigm dubbed Decision Stream Calibration that boosts the performance of general Vision Transformers.

Team DETR: Guide Queries as a Professional Team in Detection Transformers

1 code implementation14 Feb 2023 Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song

Recent proposed DETR variants have made tremendous progress in various scenarios due to their streamlined processes and remarkable performance.

Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging

1 code implementation CVPR 2023 Yubo Dong, Dahua Gao, Tian Qiu, Yuyan Li, Minxi Yang, Guangming Shi

However, in the data subproblem, the used sensing matrix is ill-suited for the real degradation process due to the device errors caused by phase aberration, distortion; in the prior subproblem, it is important to design a suitable model to jointly exploit both spatial and spectral priors.

Comparison Knowledge Translation for Generalizable Image Classification

1 code implementation7 May 2022 Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang

In this paper, we attempt to build a generalizable framework that emulates the humans' recognition mechanism in the image classification task, hoping to improve the classification performance on unseen categories with the support of annotations of other categories.

Classification Image Classification +1

Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?

1 code implementation20 Sep 2021 Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu

Our main findings are: (i) predictive uncertainty indeed helps achieve reliable malware detection in the presence of dataset shift, but cannot cope with adversarial evasion attacks; (ii) approximate Bayesian methods are promising to calibrate and generalize malware detectors to deal with dataset shift, but cannot cope with adversarial evasion attacks; (iii) adversarial evasion attacks can render calibration methods useless, and it is an open problem to quantify the uncertainty associated with the predicted labels of adversarial examples (i. e., it is not effective to use predictive uncertainty to detect adversarial examples).

Android Malware Detection Malware Detection

Evolutionary dynamics in financial markets with heterogeneities in strategies and risk tolerance

no code implementations18 Oct 2020 Wen-Juan Xu, Chen-Yang Zhong, Fei Ren, Tian Qiu, Rong-Da Chen, Yun-Xin He, Li-Xin Zhong

For a heterogeneous population, the coexistence of investors with pair pattern strategies and reference point strategies causes the price to have a slow fluctuation around a typical equilibrium point and both a large price fluctuation and a no-trading state are avoided, in which the pair pattern strategies push the system far away from the equilibrium while the reference point strategies pull the system back to the equilibrium.

AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce

no code implementations24 Sep 2020 Feng-Lin Li, Hehong Chen, Guohai Xu, Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen

Pre-sales customer service is of importance to E-commerce platforms as it contributes to optimizing customers' buying process.

graph construction Question Answering

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