no code implementations • 27 Sep 2022 • Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan Kankanhalli
At the item level, a synthetic data generation module is proposed to generate a synthetic item corresponding to the selected item based on the user's preferences.
no code implementations • 16 Aug 2022 • Zan Gao, Xinglei Cui, Tao Zhuo, Zhiyong Cheng, An-An Liu, Meng Wang, Shenyong Chen
However, the temporal features of a low-level scale lack enough semantics for action classification while a high-level scale cannot provide rich details of the action boundaries.
1 code implementation • 30 Jun 2022 • Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan Kankanhalli
On the other hand, pertaining to the implicit knowledge, the multi-modal implicit knowledge for knowledge-based VQA still remains largely unexplored.
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 • 10 Mar 2022 • Fan Liu, Huilin Chen, Zhiyong Cheng, AnAn Liu, Liqiang Nie, Mohan Kankanhalli
However, existing methods ignore the fact that different modalities contribute differently towards a user's preference on various factors of an item.
no code implementations • 25 Feb 2022 • Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan Kankanhalli, Alberto del Bimbo
From the results on four datasets regarding the above three tasks, our method yields remarkable performance improvements compared with the baselines, demonstrating its superiority on reducing the modality bias problem.
1 code implementation • 10 Jan 2022 • Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng
The session embedding is then generated by aggregating the item embeddings with attention weights of each item's factors.
no code implementations • 25 Sep 2021 • Zan Gao, Yuxiang Shao, Weili Guan, Meng Liu, Zhiyong Cheng, ShengYong Chen
Thus, we tackle this problem from the perspective of exploiting the relationships between patch features to capture long-range associations among multi-view images.
no code implementations • 17 Aug 2021 • Xiangkun Yin, Yangyang Guo, Liqiang Nie, Zhiyong Cheng
In addition, we empirically prove that collaborative filtering and semantic matching are complementary to each other in product search performance enhancement.
no code implementations • 10 Aug 2021 • Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, AnAn Liu, Meng Wang
In this work, a novel end-to-end two-stream boundary-aware network (abbreviated as TBNet) is proposed for generic image manipulation localization in which the RGB stream, the frequency stream, and the boundary artifact location are explored in a unified framework.
no code implementations • 10 May 2021 • Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng, Xueqing Li
In particular, for a directed relation, we transform the head and tail entities into the corresponding relation space to model their relation; and for an undirected co-occurrence relation, we project head and tail entities into a unique hyperplane in the entity space to minimize their distance.
1 code implementation • 5 May 2021 • Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto del Bimbo
Experimental results demonstrate that our adapted margin cosine loss can greatly enhance the baseline models with an absolute performance gain of 15\% on average, strongly verifying the potential of tackling the language prior problem in VQA from the angle of the answer feature space learning.
1 code implementation • 22 Feb 2021 • Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie
To demonstrate the effectiveness of our method, we design a light attention neural network to integrate both item-level and feature-level attention for neural ICF models.
1 code implementation • 19 Feb 2021 • Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie
To form the subgraphs, we design an unsupervised subgraph generation module, which can effectively identify users with common interests by exploiting both user feature and graph structure.
no code implementations • 9 Feb 2021 • Zhiyong Cheng, Jun Deng, Tianyi Wang, Mei Yu
Using the generalized extreme value theory to characterize tail distributions, we address liquidation, leverage, and optimal margins for bitcoin long and short futures positions.
1 code implementation • 30 Oct 2020 • Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian, Min Zhang
Concretely, we design a novel interpretation scheme whereby the loss of mis-predicted frequent and sparse answers of the same question type is distinctly exhibited during the late training phase.
1 code implementation • 22 Sep 2020 • Haoyu Tang, Jihua Zhu, Meng Liu, Member, IEEE, Zan Gao, Zhiyong Cheng
Another contribution is that we propose an additional predictor to utilize the internal frames in the model training to improve the localization accuracy.
1 code implementation • 20 Jun 2020 • Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang
Traditional FMs adopt the inner product to model the second-order interactions between different attributes, which are represented via feature vectors.
1 code implementation • 10 Jun 2020 • Lei Zhu, Hui Cui, Zhiyong Cheng, Jingjing Li, Zheng Zhang
Specifically, we design a complementary dual-level semantic transfer mechanism to efficiently discover the potential semantics of tags and seamlessly transfer them into binary hash codes.
no code implementations • 24 Mar 2020 • Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun
Additionally, we develop a fast discrete optimization algorithm to directly compute the binary hash codes with simple operations.
no code implementations • 20 Mar 2020 • Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
Considering the fact that for different users, the attributes of an item have different influence on their preference for this item, we design a novel attention mechanism to filter the message passed from an item to a target user by considering the attribute information.
1 code implementation • 28 Aug 2019 • Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
Finally, by sequentially examining each state transition in the video graph, our method can detect and explain how those actions are executed with prior knowledge, just like the logical manner of thinking by humans.
no code implementations • 28 Aug 2019 • Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli
To overcome this limitation, we propose a novel mask transfer network (MTN), which can greatly boost the processing speed of VOS and also achieve a reasonable accuracy.
1 code implementation • 27 Aug 2019 • Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie
The hashtags, that a user provides to a post (e. g., a micro-video), are the ones which in her mind can well describe the post content where she is interested in.
1 code implementation • 21 Aug 2019 • Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan Kankanhalli
To tackle this problem, in this paper, we propose a novel Multimodal Attentive Metric Learning (MAML) method to model user diverse preferences for various items.
1 code implementation • 13 May 2019 • Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan Kankanhalli
Benefiting from the advancement of computer vision, natural language processing and information retrieval techniques, visual question answering (VQA), which aims to answer questions about an image or a video, has received lots of attentions over the past few years.
1 code implementation • 9 May 2019 • Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi
However, CF with binary codes naturally suffers from low accuracy due to limited representation capability in each bit, which impedes it from modeling complex structure of the data.
1 code implementation • 25 Apr 2019 • Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu
2) the relaxing process of cluster labels may cause significant information loss.
no code implementations • 25 Apr 2019 • Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng
We propose to dynamically learn the collaborative similarity structure, and further integrate it with the ultimate feature selection into a unified framework.
no code implementations • 12 Nov 2018 • Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose C. Kanjirathinkal, Mohan Kankanhalli
Then the aspect importance is integrated into a novel aspect-aware latent factor model (ALFM), which learns user's and item's latent factors based on ratings.
no code implementations • 11 Nov 2018 • Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua
The common aspects mentioned in a user's reviews and a product's reviews indicate indirect connections between the user and product.
1 code implementation • IEEE Transactions on Image Processing 2019 • Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
Moreover, our method achieves better performance than the best unsupervised offline algorithm on the DAVIS-2016 benchmark dataset.
1 code implementation • 12 Mar 2015 • Zhiyong Cheng, Daniel Soudry, Zexi Mao, Zhenzhong Lan
In this paper, we investigate the capability of BMNNs using the EBP algorithm on multiclass image classification tasks.