177 citations · 242 across the 10 of their papers we have counts for
10 papers
Spectral Adversarial Training for Robust Graph Neural Network
Jintang Li, Jiaying Peng, Liang Chen +3
Recent studies demonstrate that Graph Neural Networks (GNNs) are vulnerable to slight but adversarially designed perturbations, known as adversarial examples. To address this issue…
Multifaceted Improvements for Conversational Open-Domain Question Answering
Tingting Liang, Yixuan Jiang, Congying Xia +3
Open-domain question answering (OpenQA) is an important branch of textual QA which discovers answers for the given questions based on a large number of unstructured documents. Effe…
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang, Xiaojie Chu, Yudong Liu +5
Modern top-performing object detectors depend heavily on backbone networks, whose advances bring consistent performance gains through exploring more effective network structures. I…
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Tingting Liang, Yongtao Wang, Zhi Tang +2
Recently, neural architecture search (NAS) has been exploited to design feature pyramid networks (FPNs) and achieved promising results for visual object detection. Encouraged by th…
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks
Lichao Sun, Congying Xia, Wenpeng Yin +3
Mixup is the latest data augmentation technique that linearly interpolates input examples and the corresponding labels. It has shown strong effectiveness in image classification by…
Joint Training Capsule Network for Cold Start Recommendation
Tingting Liang, Congying Xia, Yuyu Yin +1
This paper proposes a novel neural network, joint training capsule network (JTCN), for the cold start recommendation task. We propose to mimic the high-level user preference other…
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
Kaiyu Shan, Yongtao Wang, Zhuoying Wang +4
To efficiently extract spatiotemporal features of video for action recognition, most state-of-the-art methods integrate 1D temporal convolution into a conventional 2D CNN backbone.…
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
Tingting Liang, Yongtao Wang, Qijie Zhao +3
Feature pyramids are widely exploited in many detectors to solve the scale variation problem for object detection. In this paper, we first investigate the Feature Pyramid Network (…
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu, Yongtao Wang, Siwei Wang +4
In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and the performance of the detectors highly depends on it. In this…
A Broad Learning Approach for Context-Aware Mobile Application Recommendation
Tingting Liang, Lifang He, Chun-Ta Lu +3
With the rapid development of mobile apps, the availability of a large number of mobile apps in application stores brings challenge to locate appropriate apps for users. Providing…