Search Results for author: Zhiyong Cheng

Found 44 papers, 29 papers with code

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation

1 code implementation17 Apr 2024 Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang

Furthermore, these models overlook the personalized nature of user behavioral preferences by employing uniform transformation networks for all users and items.

Recommendation Systems

Cluster-based Graph Collaborative Filtering

1 code implementation16 Apr 2024 Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli

This model performs high-order graph convolution on cluster-specific graphs, which are constructed by capturing the multiple interests of users and identifying the common interests among them.

Clustering Collaborative Filtering +3

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation

no code implementations22 Dec 2023 Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli

To obtain robust and independent representations for each factor associated with a specific attribute, we first disentangle the representations of features both within and across different modalities.

Attribute Multimodal Recommendation +1

Prior-Free Continual Learning with Unlabeled Data in the Wild

1 code implementation16 Oct 2023 Tao Zhuo, Zhiyong Cheng, Hehe Fan, Mohan Kankanhalli

Existing CL methods usually reduce forgetting with task priors, \ie using task identity or a subset of previously seen samples for model training.

Continual Learning Image Classification

Semantic-Guided Feature Distillation for Multimodal Recommendation

1 code implementation6 Aug 2023 Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli

The teacher model first extracts rich modality features from the generic modality feature by considering both the semantic information of items and the complementary information of multiple modalities.

Multimodal Recommendation Representation Learning

Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration

1 code implementation27 Jul 2023 Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan Kankanhalli

Training an effective video action recognition model poses significant computational challenges, particularly under limited resource budgets.

Action Recognition Temporal Action Localization

MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation

no code implementations19 Jun 2023 Mingshi Yan, Zhiyong Cheng, Jing Sun, Fuming Sun, Yuxin Peng

In this paper, we propose MB-HGCN, a novel multi-behavior recommendation model that uses a hierarchical graph convolutional network to learn user and item embeddings from coarse-grained on the global level to fine-grained on the behavior-specific level.

Collaborative Filtering Multi-Task Learning +1

Continual Learning with Strong Experience Replay

1 code implementation23 May 2023 Tao Zhuo, Zhiyong Cheng, Zan Gao, Hehe Fan, Mohan Kankanhalli

Experience Replay (ER) is a simple and effective rehearsal-based strategy, which optimizes the model with current training data and a subset of old samples stored in a memory buffer.

Continual Learning Image Classification

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

1 code implementation28 Mar 2023 Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng

Most existing multi-behavior models fail to capture such dependencies in a behavior chain for embedding learning.

Privacy-Preserving Synthetic Data Generation for Recommendation Systems

1 code implementation27 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.

Privacy Preserving Recommendation Systems +1

Temporal Action Localization with Multi-temporal Scales

no code implementations16 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.

Action Classification Avg +1

A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA

1 code implementation30 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.

Question Answering Retrieval +1

Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation

1 code implementation26 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.

Multi-Task Learning

Disentangled Multimodal Representation Learning for Recommendation

1 code implementation10 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.

Recommendation Systems Representation Learning

On Modality Bias Recognition and Reduction

1 code implementation25 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.

Action Recognition Multi-modal Classification +3

Disentangled Graph Neural Networks for Session-based Recommendation

1 code implementation10 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.

Session-Based Recommendations

A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval

no code implementations25 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.


When Product Search Meets Collaborative Filtering: A Hierarchical Heterogeneous Graph Neural Network Approach

no code implementations17 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.

Collaborative Filtering Representation Learning +1

TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization

no code implementations10 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.

Image Manipulation Image Manipulation Localization

UGRec: Modeling Directed and Undirected Relations for Recommendation

1 code implementation10 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.

Attribute Collaborative Filtering +2

AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss

1 code implementation5 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.

Question Answering Visual Question Answering

Feature-level Attentive ICF for Recommendation

1 code implementation22 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.

Collaborative Filtering Recommendation Systems

Interest-aware Message-Passing GCN for Recommendation

1 code implementation19 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.

Liquidation, Leverage and Optimal Margin in Bitcoin Futures Markets

no code implementations9 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.

Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View

1 code implementation30 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.

Face Recognition Image Classification +2

Frame-wise Cross-modal Matching for Video Moment Retrieval

1 code implementation22 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.

Boundary Detection Moment Retrieval +1

Enhancing Factorization Machines with Generalized Metric Learning

1 code implementation20 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.

Attribute Metric Learning +1

Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval

1 code implementation10 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.

Deep Hashing Image Retrieval +1

Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation

no code implementations24 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.

Collaborative Filtering Quantization

A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation

no code implementations20 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.

Attribute Recommendation Systems

Fast Video Object Segmentation via Mask Transfer Network

no code implementations28 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.

Object Semantic Segmentation +2

Explainable Video Action Reasoning via Prior Knowledge and State Transitions

1 code implementation28 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.

Action Analysis Attribute

Personalized Hashtag Recommendation for Micro-videos

1 code implementation27 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.

User Diverse Preference Modeling by Multimodal Attentive Metric Learning

1 code implementation21 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.

Metric Learning Recommendation Systems

Quantifying and Alleviating the Language Prior Problem in Visual Question Answering

1 code implementation13 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.

Information Retrieval Question Answering +2

Compositional Coding for Collaborative Filtering

1 code implementation9 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.

Collaborative Filtering Recommendation Systems

Discrete Optimal Graph Clustering

1 code implementation25 Apr 2019 Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu

2) the relaxing process of cluster labels may cause significant information loss.

Clustering Graph Clustering +1

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection

no code implementations25 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.

feature selection

MMALFM: Explainable Recommendation by Leveraging Reviews and Images

no code implementations12 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.

Explainable Recommendation

Attentive Aspect Modeling for Review-aware Recommendation

no code implementations11 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.

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