no code implementations • 15 Mar 2023 • Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
Graph Neural Network(GNN) based social recommendation models improve the prediction accuracy of user preference by leveraging GNN in exploiting preference similarity contained in social relations.
no code implementations • 8 Feb 2023 • GuanYu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang song, Zhiheng Li, Depeng Jin, Yong Li
In this paper, we propose Dual-interest Factorization-heads Attention for Sequential Recommendation (short for DFAR) consisting of feedback-aware encoding layer, dual-interest disentangling layer and prediction layer.
no code implementations • 5 Jan 2023 • Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang
Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene.
no code implementations • 18 Sep 2022 • GuanYu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li
The such user-centric recommendation will make it impossible for the provider to expose their new items and result in popular bias.
1 code implementation • 26 Aug 2022 • Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
Afterward, we comprehensively review the existing work of causal inference-based recommendation, based on a taxonomy of what kind of problem causal inference addresses.
1 code implementation • 14 Aug 2022 • Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
In particular, we first unify the fine-grained user similarity and the complex matching between user preferences and spatiotemporal activity into a heterogeneous hypergraph.
1 code implementation • 10 Aug 2022 • Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
Recommender systems are prone to be misled by biases in the data.
no code implementations • 8 Aug 2022 • Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li
Recommender systems are playing an increasingly important role in alleviating information overload and supporting users' various needs, e. g., consumption, socialization, and entertainment.
no code implementations • 3 Aug 2022 • Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
More specifically, we propose a novel Coarse-to-fine Knowledge-enhanced Multi-interest Learning (CKML) framework to learn shared and behavior-specific interests for different behaviors.
1 code implementation • 19 Jul 2022 • Yusheng Zhao, Jinyu Chen, Chen Gao, Wenguan Wang, Lirong Yang, Haibing Ren, Huaxia Xia, Si Liu
Vision-language navigation is the task of directing an embodied agent to navigate in 3D scenes with natural language instructions.
no code implementations • 26 May 2022 • Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
In particular, we design a cascading residual graph convolutional network structure, which enables our model to learn user preferences by continuously refining user embeddings across different types of behaviors.
1 code implementation • CVPR 2022 • Jinyu Chen, Chen Gao, Erli Meng, Qiong Zhang, Si Liu
However, the crucial navigation clues (i. e., object-level environment layout) for embodied navigation task is discarded since the maintained vector is essentially unstructured.
1 code implementation • CVPR 2022 • Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu
3D visual grounding aims to locate the referred target object in 3D point cloud scenes according to a free-form language description.
1 code implementation • 26 Feb 2022 • Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang song, Depeng Jin, Yong Li
Modeling user's long-term and short-term interests is crucial for accurate recommendation.
no code implementations • 21 Feb 2022 • Yuwen Qin, Ningbo Cai, Chen Gao, Yadong Zhang, Yonghong Cheng, Xin Chen
The degradation-related features extracted from the sensor streaming data with neural networks can dramatically improve the accuracy of the RUL prediction.
no code implementations • NeurIPS 2021 • Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
Deep sparse networks (DSNs), of which the crux is exploring the high-order feature interactions, have become the state-of-the-art on the prediction task with high-sparsity features.
1 code implementation • 13 Nov 2021 • Tzu-Heng Lin, Chen Gao
In this paper, we detailedly describe our solution for the IEEE BigData Cup 2021: RL-based RecSys (Track 1: Item Combination Prediction).
1 code implementation • 5 Nov 2021 • Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li
With the hypergraph convolutional networks, the social relations can be modeled in a more fine-grained manner, which more accurately depicts real users' preferences, and benefits the recommendation performance.
no code implementations • 1 Nov 2021 • Chang Liu, Chen Gao, Depeng Jin, Yong Li
We first conduct information propagation on two sub-graphs to learn the representations of POIs and users.
no code implementations • submitted to TOIS 2021 • Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
In this survey, we conduct a comprehensive review of the literature on graph neural network-based recommender systems.
1 code implementation • 16 Aug 2021 • Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
These years much effort has been devoted to improving the accuracy or relevance of the recommendation system.
1 code implementation • NeurIPS 2021 • Aixi Zhang, Yue Liao, Si Liu, Miao Lu, Yongliang Wang, Chen Gao, Xiaobo Li
To this end, we propose a novel one-stage framework with disentangling human-object detection and interaction classification in a cascade manner.
Ranked #4 on Human-Object Interaction Detection on V-COCO
1 code implementation • 27 Jun 2021 • Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang song, Depeng Jin, Yong Li
This helps explicitly distinguish users' core interests, by forming dense clusters in the interest graph.
1 code implementation • CVPR 2021 • Chen Gao, Jinyu Chen, Si Liu, Luting Wang, Qiong Zhang, Qi Wu
The Remote Embodied Referring Expression (REVERIE) is a recently raised task that requires an agent to navigate to and localise a referred remote object according to a high-level language instruction.
no code implementations • 14 Jun 2021 • Chen Gao, Quanming Yao, Depeng Jin, Yong Li
In this way, we can combinatorially generalize data-specific CF models, which have not been visited in the literature, from SOTA ones.
1 code implementation • 26 May 2021 • Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan
In this paper, we address the makeup transfer and removal tasks simultaneously, which aim to transfer the makeup from a reference image to a source image and remove the makeup from the with-makeup image respectively.
no code implementations • ICCV 2021 • Chen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin Huang
We present an algorithm for generating novel views at arbitrary viewpoints and any input time step given a monocular video of a dynamic scene.
1 code implementation • ICLR 2021 • Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li
Existing works that try to address the problem always cause a significant drop in recommendation performance or suffers from the limitation of unaffordable training time cost.
no code implementations • ICCV 2021 • Wentao Jiang, Ning Xu, Jiayun Wang, Chen Gao, Jing Shi, Zhe Lin, Si Liu
Given the cycle, we propose several free augmentation strategies to help our model understand various editing requests given the imbalanced dataset.
no code implementations • 10 Dec 2020 • Chen Gao, YiChang Shih, Wei-Sheng Lai, Chia-Kai Liang, Jia-Bin Huang
We present a method for estimating Neural Radiance Fields (NeRF) from a single headshot portrait.
1 code implementation • 14 Oct 2020 • Jun Zhang, Chen Gao, Depeng Jin, Yong Li
Group-buying recommendation for social e-commerce, which recommends an item list when users want to launch a group, plays an important role in the group success ratio and sales.
1 code implementation • ECCV 2020 • Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf
We present a new flow-based video completion algorithm.
Ranked #3 on Video Inpainting on DAVIS
1 code implementation • ECCV 2020 • Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang
We tackle the challenging problem of human-object interaction (HOI) detection.
Ranked #22 on Human-Object Interaction Detection on V-COCO
1 code implementation • ECCV 2020 • Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang
Recent work has shown that the structure of deep convolutional neural networks can be used as a structured image prior for solving various inverse image restoration tasks.
3 code implementations • 19 Jun 2020 • Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Depeng Jin, Yong Li
We further demonstrate that the learned embeddings successfully capture the desired causes, and show that DICE guarantees the robustness and interpretability of recommendation.
no code implementations • 2 Jun 2020 • Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li
LGR module utilizes body skeleton knowledge to construct a layout graph that connects all relevant part features, where graph reasoning mechanism is used to propagate information among part nodes to mine their relations.
1 code implementation • 7 May 2020 • Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
Existing solutions integrate user-item interaction modeling into bundle recommendation by sharing model parameters or learning in a multi-task manner, which cannot explicitly model the affiliation between items and bundles, and fail to explore the decision-making when a user chooses bundles.
1 code implementation • 9 Mar 2020 • Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
Price, an important factor in marketing --- which determines whether a user will make the final purchase decision on an item --- surprisingly, has received relatively little scrutiny.
1 code implementation • NeurIPS 2019 • Jinwoo Choi, Chen Gao, Joseph C. E. Messou, Jia-Bin Huang
We validate the effectiveness of our method by transferring our pre-trained model to three different tasks, including action classification, temporal localization, and spatio-temporal action detection.
1 code implementation • CVPR 2020 • Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan
In this paper, we propose an AdversarialNAS method specially tailored for Generative Adversarial Networks (GANs) to search for a superior generative model on the task of unconditional image generation.
1 code implementation • CVPR 2020 • Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan
In this paper, we address the makeup transfer task, which aims to transfer the makeup from a reference image to a source image.
no code implementations • 26 Jul 2019 • Defa Zhu, Si Liu, Wentao Jiang, Chen Gao, Tianyi Wu, Qaingchang Wang, Guodong Guo
To address this issue, we propose a method called Untraceable GAN, which has a novel source classifier to differentiate which domain an image is translated from, and determines whether the translated image still retains the characteristics of the source domain.
1 code implementation • 28 May 2019 • Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
We show how to employ LambdaOpt on matrix factorization, a classical model that is representative of a large family of recommender models.
no code implementations • 21 Sep 2018 • Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang song, Depeng Jin
To fully exploit the signal in the data of multiple types of behaviors, we perform a joint optimization based on the multi-task learning framework, where the optimization on a behavior is treated as a task.
4 code implementations • 30 Aug 2018 • Chen Gao, Yuliang Zou, Jia-Bin Huang
Our core idea is that the appearance of a person or an object instance contains informative cues on which relevant parts of an image to attend to for facilitating interaction prediction.
Ranked #2 on Human-Object Interaction Detection on Ambiguious-HOI
no code implementations • 18 Dec 2017 • Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
We perform extensive numerical experiments on both static and moving camera video subject to a variety of dense and sparse corruptions.
no code implementations • 27 Sep 2017 • Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
This work presents a novel approach for robust PCA with total variation regularization for foreground-background separation and denoising on noisy, moving camera video.