Search Results for author: Hao Guo

Found 20 papers, 4 papers with code

PFGE: Parsimonious Fast Geometric Ensembling of DNNs

1 code implementation14 Feb 2022 Hao Guo, Jiyong Jin, Bin Liu

Ensemble methods have been widely used to improve the performance of machine learning methods in terms of generalization, while they are hard to use in deep learning systems, as training an ensemble of deep neural networks (DNNs) incurs an extremely higher computational overhead of model training.

Stochastic Weight Averaging Revisited

1 code implementation3 Jan 2022 Hao Guo, Jiyong Jin, Bin Liu

Based on our experimental findings, we raise a hypothesis that there are global scale geometric structures in the DNN loss landscape that can be discovered by an SGD agent at the early stage of its working period, and such global geometric structures can be exploited by the WA operation.

Fully Attentional Network for Semantic Segmentation

no code implementations8 Dec 2021 Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang

Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation.

Semantic Segmentation

Denoised Non-Local Neural Network for Semantic Segmentation

no code implementations27 Oct 2021 Qi Song, Jie Li, Hao Guo, Rui Huang

Without any external training data, our proposed Denoised NL can achieve the state-of-the-art performance of 83. 5\% and 46. 69\% mIoU on Cityscapes and ADE20K, respectively.

Semantic Segmentation

LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection

no code implementations5 Aug 2021 Cui Xie, Hao Guo, Junyu Dong

Ocean fronts can cause the accumulation of nutrients and affect the propagation of underwater sound, so high-precision ocean front detection is of great significance to the marine fishery and national defense fields.

Semantic Segmentation

Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings

no code implementations CVPR 2021 Hao Guo, Song Wang

While re-balanced data sampling can improve the performance on tail classes, it may also hurt the performance on head classes in training due to label co-occurrence.

Multi-modal Entity Alignment in Hyperbolic Space

no code implementations7 Jun 2021 Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu

To mitigate this problem, a viable approach is to integrate complementary knowledge from other MMKGs.

Entity Alignment Knowledge Graphs

DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

1 code implementation CVPR 2021 Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang

We further design a re-weighting strategy to handle the inaccuracy caused by misalignment between day-night image pairs and wrong predictions of daytime images, as well as boost the prediction accuracy of small objects.

Autonomous Driving Domain Adaptation +1

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

no code implementations22 Mar 2021 Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou

Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.

Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization

no code implementations5 Jan 2021 Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu

The extracted aspects from an ExploitDB post are then composed into a CVE description according to the suggested CVE description templates, which is must-provided information for requesting new CVEs.

Extractive Summarization Text Summarization

Predictor Antenna: A Technique to Boost the Performance of Moving Relays

no code implementations18 Dec 2020 Hao Guo, Behrooz Makki, Dinh-Thuy Phan-Huy, Erik Dahlman, Mohamed-Slim Alouini, Tommy Svensson

In future wireless systems, a large number of users may access the networks via moving relays (MRs) installed on top of vehicles.

Information Theory Signal Processing Information Theory

Predictor Antennas for Moving Relays: Finite Block-length Analysis

no code implementations31 Aug 2020 Hao Guo, Behrooz Makki, Tommy Svensson

We use the fundamental results on the achievable rate of finite block-length codes to study the system throughput and error probability in the presence of short packets.

Information Theory Signal Processing Information Theory

A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection

no code implementations18 Aug 2020 Hao Guo, Xintao Ren, Rongrong Wang, Zhun Cai, Kai Shuang, Yue Sun

In this paper, we propose a model named HUIHEN (Hierarchical User Intention-Habit Extract Network) that leverages the users' behavior information in mobile banking APP.

Thermostatistics of a q-deformed Relativistic Ideal Fermi Gas

no code implementations8 Jun 2020 Xu-Yang Hou, H. Yan, Hao Guo

In this paper, we formulate a q-deformed many-body theory for the relativistic Fermi gas and discuss the effects of the deformation parameter q on physical properties of such systems.

High Energy Physics - Theory High Energy Physics - Phenomenology

Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure

no code implementations14 Dec 2019 Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Cristian Canton Ferrer, Song Wang

Due to respectively limited training data, different entities addressing the same vision task based on certain sensitive images may not train a robust deep network.

Face Recognition Image Classification

Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification

1 code implementation CVPR 2019 Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang

In this paper, we further propose the assumption of perceptual consistency of visual attention regions for classification under such transforms, i. e., the attention region for a classification follows the same transform if the input image is spatially transformed.

Classification Data Augmentation +3

Automatic Identification of Indicators of Compromise using Neural-Based Sequence Labelling

no code implementations PACLIC 2018 Shengping Zhou, Zi Long, Lianzhi Tan, Hao Guo

In this paper, we propose using a neural-based sequence labelling model to identify IOCs automatically from reports on cybersecurity without expert knowledge of cybersecurity.

Object Detection with Mask-based Feature Encoding

no code implementations12 Feb 2018 Xiaochuan Fan, Hao Guo, Kang Zheng, Wei Feng, Song Wang

In particular, we design a Mask Weight Network (MWN) to learn a set of masks and then apply channel-wise masking operations to ROI feature map, followed by a global pooling and a cheap fully-connected layer.

Object Detection

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