1 code implementation • 27 Feb 2024 • Hang Dong, Jiaoyan Chen, Yuan He, Yongsheng Gao, Ian Horrocks
In all steps, we propose to leverage neural methods, where we apply embedding-based methods and contrastive learning with Pre-trained Language Models (PLMs) such as BERT for edge search, and adapt a BERT fine-tuning-based multi-label Edge-Cross-encoder, and Large Language Models (LLMs) such as GPT series, FLAN-T5, and Llama 2, for edge selection.
no code implementations • 7 Feb 2024 • Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela
We apply a state-of-the-art membership inference attack (MIA) to systematically test the practical privacy vulnerability of fine-tuning large image classification models. We focus on understanding the properties of data sets and samples that make them vulnerable to membership inference.
1 code implementation • 21 Jan 2024 • Yuan He, Zhangdie Yuan, Jiaoyan Chen, Ian Horrocks
Interpreting hierarchical structures latent in language is a key limitation of current language models (LMs).
no code implementations • 26 Dec 2023 • Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding
The prevalent use of commercial and open-source diffusion models (DMs) for text-to-image generation prompts risk mitigation to prevent undesired behaviors.
1 code implementation • NeurIPS 2023 • Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
However, existing generalization analysis of such losses is still coarse-grained and fragmented, failing to explain some empirical results.
1 code implementation • 7 Oct 2023 • Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
However, existing generalization analysis of such losses is still coarse-grained and fragmented, failing to explain some empirical results.
Ranked #6 on Long-tail Learning on CIFAR-10-LT (ρ=10)
1 code implementation • 23 Sep 2023 • Hongqiu Wang, Jian Chen, Shichen Zhang, Yuan He, Jinfeng Xu, Mengwan Wu, Jinlan He, Wenjun Liao, Xiangde Luo
We collect a large-scale clinical dataset comprising 1057 NPC patients from five hospitals to validate our approach.
1 code implementation • 12 Sep 2023 • Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks
This work investigates the applicability of recent generative Large Language Models (LLMs), such as the GPT series and Flan-T5, to ontology alignment for identifying concept equivalence mappings across ontologies.
2 code implementations • TPAMI 2023 • Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
On top of this, we can show that: 1) Under mild conditions, AdAUC can be optimized equivalently with score-based or instance-wise-loss-based perturbations, which is compatible with most of the popular adversarial example generation methods.
1 code implementation • 6 Jul 2023 • Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota
Integrating deep learning techniques, particularly language models (LMs), with knowledge representation techniques like ontologies has raised widespread attention, urging the need of a platform that supports both paradigms.
1 code implementation • 26 Jun 2023 • Hang Dong, Jiaoyan Chen, Yuan He, Ian Horrocks
Mentions of new concepts appear regularly in texts and require automated approaches to harvest and place them into Knowledge Bases (KB), e. g., ontologies and taxonomies.
no code implementations • 23 May 2023 • Xiaolong Chen, Xin Qi, Chunguang Su, Yuan He, Zhijun Wang, Kunxiang Sun, Chao Jin, Weilong Chen, Shuhui Liu, Xiaoying Zhao, Duanyang Jia, Man Yi
To validate the effectiveness of our method, two different typical beam control tasks were performed on China Accelerator Facility for Superheavy Elements (CAFe II) and a light particle injector(LPI) respectively.
no code implementations • 12 May 2023 • Lorenzo Sonnino, Shaswot Shresthamali, Yuan He, Masaaki Kondo
DNNs are widely used but face significant computational costs due to matrix multiplications, especially from data movement between the memory and processing units.
no code implementations • 20 Mar 2023 • Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang
In this paper, we improve the challenging monocular 3D object detection problem with a general semi-supervised framework.
no code implementations • 1 Mar 2023 • Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
In this paper, we propose Adversarial Semantic Contour (ASC), an MAP estimate of a Bayesian formulation of sparse attack with a deceived prior of object contour.
no code implementations • 28 Feb 2023 • Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
In our benchmark, we evaluate the robustness of 55 typical deep learning models on ImageNet with diverse architectures (e. g., CNNs, Transformers) and learning algorithms (e. g., normal supervised training, pre-training, adversarial training) under numerous adversarial attacks and out-of-distribution (OOD) datasets.
no code implementations • 28 Feb 2023 • Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su
To address this issue, we proposed a novel method of Augmenting data with Adversarial examples via a Wavelet module (AdvWavAug), an on-manifold adversarial data augmentation technique that is simple to implement.
1 code implementation • 14 Feb 2023 • Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, Ian Horrocks
Investigating whether pre-trained language models (LMs) can function as knowledge bases (KBs) has raised wide research interests recently.
3 code implementations • 14 Feb 2023 • Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks
We propose BLINKout, a new BERT-based Entity Linking (EL) method which can identify mentions that do not have corresponding KB entities by matching them to a special NIL entity.
no code implementations • ICCV 2023 • Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao
For the classification task, we introduce an open corpus classifier by reconstructing original classifier with similar words in text space.
no code implementations • 14 Nov 2022 • Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma
Detecting 3D objects from multi-view images is a fundamental problem in 3D computer vision.
1 code implementation • 22 Oct 2022 • Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
In this paper, a systematic analysis reveals that most existing metrics are essentially inconsistent with the aforementioned goal of OSR: (1) For metrics extended from close-set classification, such as Open-set F-score, Youden's index, and Normalized Accuracy, a poor open-set prediction can escape from a low performance score with a superior close-set prediction.
2 code implementations • 9 Oct 2022 • Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang
We conduct comprehensive transferable attacks against multiple DNNs to demonstrate the effectiveness of the proposed method.
1 code implementation • NeurIPS 2023 • Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Collaborative Metric Learning (CML) has recently emerged as a popular method in recommendation systems (RS), closing the gap between metric learning and Collaborative Filtering.
1 code implementation • 27 Sep 2022 • Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Stochastic optimization of the Area Under the Precision-Recall Curve (AUPRC) is a crucial problem for machine learning.
no code implementations • 26 Sep 2022 • Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
In recent years, great progress has been made to incorporate unlabeled data to overcome the inefficiently supervised problem via semi-supervised learning (SSL).
1 code implementation • 3 Sep 2022 • Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Finally, the experimental results on four benchmark datasets validate the effectiveness of our proposed framework.
no code implementations • ICML 2022 • Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
Our analysis differs from the existing studies since the algorithm is asked to generate adversarial examples by calculating the gradient of a min-max problem.
1 code implementation • TPAMI 2022 • Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
The critical challenge along this course lies in the difficulty of performing gradient-based optimization with end-to-end stochastic training, even with a proper choice of surrogate loss.
2 code implementations • 6 May 2022 • Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, Ian Horrocks
Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the application of machine learning (ML) techniques.
2 code implementations • 24 Apr 2022 • Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He
Virtual try-on(VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce. Existing VTON approaches can be narrowly categorized into Parser-Based(PB) and Parser-Free(PF) by whether relying on the parser information to mask the persons' clothes and synthesize try-on images.
no code implementations • 22 Apr 2022 • Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue
Finally, we propose a weakly supervised object localization-based approach to extract multi-scale local features, to form a multi-view pipeline.
no code implementations • 2 Mar 2022 • Junyu Lin, Xiaofeng Mao, Yuefeng Chen, Lei Xu, Yuan He, Hui Xue
DETR is the first fully end-to-end detector that predicts a final set of predictions without post-processing.
2 code implementations • 20 Feb 2022 • Jiaoyan Chen, Yuan He, Yuxia Geng, Ernesto Jimenez-Ruiz, Hang Dong, Ian Horrocks
Automating ontology construction and curation is an important but challenging task in knowledge engineering and artificial intelligence.
2 code implementations • ICLR 2022 • Qilong Zhang, Xiaodan Li, Yuefeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue
Notably, our methods outperform state-of-the-art approaches by up to 7. 71\% (towards coarse-grained domains) and 25. 91\% (towards fine-grained domains) on average.
1 code implementation • 23 Jan 2022 • Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang
In this work, we concentrate on video representation learning, an essential component for text-to-video retrieval.
no code implementations • 18 Dec 2021 • Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks, Huajun Chen
Machine learning especially deep neural networks have achieved great success but many of them often rely on a number of labeled samples for supervision.
1 code implementation • 5 Dec 2021 • Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks
Ontology alignment (a. k. a ontology matching (OM)) plays a critical role in knowledge integration.
no code implementations • NeurIPS 2021 • Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
To leverage high performance under low FPRs, we consider an alternative metric for multipartite ranking evaluating the True Positive Rate (TPR) at a given FPR, denoted as TPR@FPR.
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.
1 code implementation • 15 Oct 2021 • Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, ZiHao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
Due to the vulnerability of deep neural networks (DNNs) to adversarial examples, a large number of defense techniques have been proposed to alleviate this problem in recent years.
no code implementations • 29 Sep 2021 • Junyu Lin, Xiaofeng Mao, Yuefeng Chen, Lei Xu, Yuan He, Hui Xue'
DETR is the first fully end-to-end detector that predicts a final set of predictions without post-processing.
no code implementations • 30 Aug 2021 • JianPing Wang, Runlong Li, Yuan He, Yang Yang
The effectiveness and accuracy of our proposed complex-valued fully convolutional network (CV-FCN) based interference mitigation approach are verified and analyzed through both simulated and measured radar signals.
1 code implementation • ICCV 2021 • Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He
Human can easily recognize visual objects with lost information: even losing most details with only contour reserved, e. g. cartoon.
no code implementations • 21 Jul 2021 • Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue
In multimodal tasks, we find that the importance of text and image modal information is different for different input cases, and for this motivation, we propose a high-performance and highly general Dual-Router Dynamic Framework (DRDF), consisting of Dual-Router, MWF-Layer, experts and expert fusion unit.
1 code implementation • ICML 2021 • Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
The critical challenge along this course lies in the difficulty of performing gradient-based optimization with end-to-end stochastic training, even with a proper choice of surrogate loss.
no code implementations • 17 Jul 2021 • Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue
We propose the recurrent attention multi-scale transformer (RAMS-Trans), which uses the transformer's self-attention to recursively learn discriminative region attention in a multi-scale manner.
Ranked #7 on Fine-Grained Image Classification on Stanford Dogs
Fine-Grained Image Classification Fine-Grained Image Recognition
no code implementations • CVPR 2021 • Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang
Due to the lack of insight in industrial application, existing methods on open datasets neglect the camera pose information, which inevitably results in the detector being susceptible to camera extrinsic parameters.
Ranked #9 on Monocular 3D Object Detection on KITTI Cars Moderate (using extra training data)
no code implementations • CVPR 2021 • Chaorui Deng, ShiZhe Chen, Da Chen, Yuan He, Qi Wu
The dense video captioning task aims to detect and describe a sequence of events in a video for detailed and coherent storytelling.
no code implementations • NeurIPS 2021 • Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
To leverage high performance under low FPRs, we consider an alternative metric for multipartite ranking evaluating the True Positive Rate (TPR) at a given FPR, denoted as TPR@FPR.
2 code implementations • CVPR 2022 • Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue
By using and combining robust components as building blocks of ViTs, we propose Robust Vision Transformer (RVT), which is a new vision transformer and has superior performance with strong robustness.
Ranked #24 on Domain Generalization on ImageNet-C
1 code implementation • 6 Apr 2021 • Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji
In this similarity paradigm, one should pay more attention to the similarity in terms of a specific design/attribute between fashion items.
1 code implementation • CVPR 2021 • Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Targeting at (a), we propose a two-level modality alignment loss where both global and local information are considered.
1 code implementation • CVPR 2021 • Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He
Though it is well known that the performance of deep neural networks (DNNs) degrades under certain light conditions, there exists no study on the threats of light beams emitted from some physical source as adversarial attacker on DNNs in a real-world scenario.
no code implementations • CVPR 2021 • Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue
Comprehensive experiments show that the proposed attack achieves a high attack success rate with few queries against the image retrieval systems under the black-box setting.
no code implementations • CVPR 2021 • Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu
The remarkable success in face forgery techniques has received considerable attention in computer vision due to security concerns.
1 code implementation • 18 Feb 2021 • Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji
In this paper, we focus on the cross-modal similarity measurement, and propose a novel Hierarchical Similarity Learning (HSL) network.
no code implementations • 4 Feb 2021 • Dan Zhang, Jingkai Xia, YiFan Li, Jingtao You, Yao Li, Changbo Fu, Jianglai Liu, Ning Zhou, Jie Bao, Huan Jia, Chenzhang Yuan, Yuan He, Weixing Xiong, Mengyun Guan
$\rm ^{83m}Kr$, with a short lifetime, is an ideal calibration source for liquid xenon or liquid argon detectors.
Nuclear Experiment Instrumentation and Detectors
no code implementations • ICCV 2021 • Yassir Saquil, Da Chen, Yuan He, Chuan Li, Yong-Liang Yang
In this paper, we investigate video summarization in the supervised setting.
no code implementations • 14 Dec 2020 • Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue
To the best of our knowledge, it is the largest dataset for brand detection and recognition with rich annotations.
1 code implementation • 10 Dec 2020 • Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue
Adversarial attack is a technique for deceiving Machine Learning (ML) models, which provides a way to evaluate the adversarial robustness.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Yuan He, Shay B. Cohen
Approaching named entities transliteration as a Neural Machine Translation (NMT) problem is common practice.
1 code implementation • NeurIPS 2020 • Shuhao Cui, Xuan Jin, Shuhui Wang, Yuan He, Qingming Huang
In visual domain adaptation (DA), separating the domain-specific characteristics from the domain-invariant representations is an ill-posed problem.
no code implementations • 11 Aug 2020 • Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu
A sharp MIL (S-MIL) is proposed which builds direct mapping from instance embeddings to bag prediction, rather than from instance embeddings to instance prediction and then to bag prediction in traditional MIL.
no code implementations • 9 Jun 2020 • Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue
Different from previous single-target attack models, our model can conduct target-conditioned attacks by learning the relations of attack target and the semantics in image.
no code implementations • ICLR 2020 • Shufei Zhang, Zhuang Qian, Kai-Zhu Huang, Jimin Xiao, Yuan He
Generative adversarial networks (GANs) are powerful generative models, but usually suffer from instability and generalization problem which may lead to poor generations.
1 code implementation • 7 Feb 2020 • Zhe Ma, Jianfeng Dong, Yao Zhang, Zhongzi Long, Yuan He, Hui Xue, Shouling Ji
This paper strives to learn fine-grained fashion similarity.
no code implementations • 18 Dec 2019 • Da Chen, Yong-Liang Yang, Zunlei Feng, Xiang Wu, Mingli Song, Wenbin Li, Yuan He, Hui Xue, Feng Mao
This strategy leads to severe meta shift issues across multiple tasks, meaning the learned prototypes or class descriptors are not stable as each task only involves their own support set.
1 code implementation • 15 Nov 2019 • Kejiang Chen, Hang Zhou, Yuefeng Chen, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu
Recent work has demonstrated that neural networks are vulnerable to adversarial examples.
1 code implementation • 15 Nov 2019 • Xiaodan Li, Yuefeng Chen, Yuan He, Hui Xue
Deep neural networks have been shown to be vulnerable to adversarial examples---maliciously crafted examples that can trigger the target model to misbehave by adding imperceptible perturbations.
no code implementations • 15 Nov 2019 • Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue
To detect these adversarial examples, previous methods use artificially designed metrics to characterize the properties of \textit{adversarial subspaces} where adversarial examples lie.
2 code implementations • 14 Nov 2019 • Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue
In this paper, we proposed to train a more generalized embedding network with self-supervised learning (SSL) which can provide robust representation for downstream tasks by learning from the data itself.
Ranked #4 on Few-Shot Image Classification on Mini-ImageNet - 1-Shot Learning (using extra training data)
no code implementations • CVPR 2020 • Guyue Hu, Bo Cui, Yuan He, Shan Yu
Another relation-gating (RG) agent in continuous action space adjusts the high-level semantic graph to pay more attention to group-relevant relations.
no code implementations • 2 May 2019 • Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
We show that Seer correctly anticipates QoS violations 91% of the time, and avoids the QoS violation to begin with in 84% of cases.
no code implementations • Neurocomputing 2019 • Hao Du, Tian Jin, Yuan He, Yongping Song, Yongpeng Dai
In this work, we propose a neural network architecture, namely segmented convolutional gated recurrent neural network (SCGRNN), to recognize human activities based on micro-Doppler spectrograms measured by the ultra-wideband radar.
1 code implementation • 18 Mar 2019 • Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue
The task of Language-Based Image Editing (LBIE) aims at generating a target image by editing the source image based on the given language description.
8 code implementations • 19 Feb 2019 • Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin
These advantages of GNNs provide great potential to advance social recommendation since data in social recommender systems can be represented as user-user social graph and user-item graph; and learning latent factors of users and items is the key.
Ranked #3 on Recommendation Systems on Epinions (using extra training data)
1 code implementation • CVPR 2019 • Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang
This paper attacks the challenging problem of zero-example video retrieval.
no code implementations • 4 Sep 2018 • Yuan He, Ming Jiang, Chunming Zhao
In this paper, a neural network-aided bit-interleaved coded modulation (NN-BICM) receiver is designed to mitigate the nonlinear clipping distortion in the LDPC coded direct currentbiased optical orthogonal frequency division multiplexing (DCOOFDM) systems.