30 citations · 72 across the 13 of their papers we have counts for
13 papers
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
Huimin Zeng, Zhenrui Yue, Yang Zhang +3
In many applications with real-world consequences, it is crucial to develop reliable uncertainty estimation for the predictions made by the AI decision systems. Targeting at the go…
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup
Huimin Zeng, Zhenrui Yue, Ziyi Kou +3
In the real-world application of COVID-19 misinformation detection, a fundamental challenge is the lack of the labeled COVID data to enable supervised end-to-end training of the mo…
Domain Adaptation for Question Answering via Question Classification
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
Question answering (QA) has demonstrated impressive progress in answering questions from customized domains. Nevertheless, domain adaptation remains one of the most elusive challen…
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
Despite recent progress in improving the performance of misinformation detection systems, classifying misinformation in an unseen domain remains an elusive challenge. To address th…
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
While sequential recommender systems achieve significant improvements on capturing user dynamics, we argue that sequential recommenders are vulnerable against substitution-based pr…
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time. NILM, or energy…
Talking-head Generation with Rhythmic Head Motion
Lele Chen, Guofeng Cui, Celong Liu +4
When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information. However, generating a lip-synced video while moving head natura…
Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
Weiguo Pian, Yingbo Wu, Xiangmou Qu +2
Ride-hailing demand prediction is an essential task in spatial-temporal data mining. Accurate Ride-hailing demand prediction can help to pre-allocate resources, improve vehicle uti…
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction
Weiguo Pian, Yingbo Wu, Ziyi Kou
As an economical and healthy mode of shared transportation, Bike Sharing System (BSS) develops quickly in many big cities. An accurate prediction method can help BSS schedule resou…
What comprises a good talking-head video generation?: A Survey and Benchmark
Lele Chen, Guofeng Cui, Ziyi Kou +2
Over the years, performance evaluation has become essential in computer vision, enabling tangible progress in many sub-fields. While talking-head video generation has become an eme…
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation
Ziyi Kou, Guofeng Cui, Shaojie Wang +2
Weakly Supervised Object Localization (WSOL) methods generate both classification and localization results by learning from only image category labels. Previous methods usually uti…
Weakly Supervised Localization Using Background Images
Ziyi Kou, Wentian Zhao, Guofeng Cui +1
Weakly Supervised Object Localization (WSOL) methodsusually rely on fully convolutional networks in order to ob-tain class activation maps(CAMs) of targeted labels. How-ever, these…
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos
Shaojie Wang, Wentian Zhao, Ziyi Kou +1
Understanding web instructional videos is an essential branch of video understanding in two aspects. First, most existing video methods focus on short-term actions for a-few-second…