Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation

no code implementations • 21 Nov 2022 • Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng

Conventional graph neural network based methods usually deal with each domain separately, or train a shared model to serve all domains.

Marketing Recommendation Systems

Beta R-CNN: Looking into Pedestrian Detection from Another Perspective

no code implementations • NeurIPS 2020 • Zixuan Xu, Banghuai Li, Ye Yuan, Anhong Dang

What's more, to fully exploit Beta Representation, a novel pipeline Beta R-CNN equipped with BetaHead and BetaMask is proposed, leading to high detection performance in occluded and crowded scenes.

Pedestrian Detection

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation

no code implementations • 20 Jan 2022 • Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng

Then a student model is trained on both clicked and unclicked ads with knowledge distillation, performing uncertainty modeling to alleviate the inherent noise in pseudo-labels.

Knowledge Distillation Selection bias

Unrestricted Adversarial Attacks on ImageNet Competition

1 code implementation • 17 Oct 2021 • Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input.

Adversarial Attack

MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting

no code implementations • 8 Aug 2021 • Yaobin Xu, Weitang Liu, Zhongyi Jiang, Zixuan Xu, Tingyun Mao, Lili Chen, Mingwei Zhou

In this paper, we propose a Multi-adaptive Spatiotemporal-flow Graph Neural Network (MAF-GNN) for traffic speed forecasting.

AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses

1 code implementation • 7 Jul 2020 • Zixuan Xu, Banghuai Li, Miao Geng, Ye Yuan

Based on the prediction of each anchor template, we propose to aggregate the results, which can reduce the landmark uncertainty due to the large poses.

Face Alignment Facial Landmark Detection