Huimin Zeng | DeepAI

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∙ 08/07/2023

Feature Decoupling-Recycling Network for Fast Interactive Segmentation

Recent interactive segmentation methods iteratively take source image, u...

0 Huimin Zeng, et al. ∙

∙ 05/27/2023

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning

With emerging online topics as a source for numerous new events, detecti...

0 Zhenrui Yue, et al. ∙

∙ 04/08/2023

Region-Aware Portrait Retouching with Sparse Interactive Guidance

Portrait retouching aims to improve the aesthetic quality of input portr...

0 Huimin Zeng, et al. ∙

∙ 10/19/2022

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation

Question answering (QA) has recently shown impressive results for answer...

0 Zhenrui Yue, et al. ∙

∙ 09/12/2022

Domain Adaptation for Question Answering via Question Classification

Question answering (QA) has demonstrated impressive progress in answerin...

0 Zhenrui Yue, et al. ∙

∙ 08/20/2022

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19

Despite recent progress in improving the performance of misinformation d...

0 Zhenrui Yue, et al. ∙

∙ 07/19/2022

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders

While sequential recommender systems achieve significant improvements on...

0 Zhenrui Yue, et al. ∙

∙ 03/29/2022

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation

Modern smart sensor-based energy management systems leverage non-intrusi...

0 Zhenrui Yue, et al. ∙

∙ 09/01/2021

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction

We investigate whether model extraction can be used to "steal" the weigh...

0 Zhenrui Yue, et al. ∙

∙ 08/01/2021

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders

Randomized Smoothing (RS), being one of few provable defenses, has been ...

0 Huimin Zeng, et al. ∙

∙ 10/24/2020

Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks

Adversarial Training is proved to be an efficient method to defend again...

0 Huimin Zeng, et al. ∙

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