1 code implementation • 5 May 2024 • Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao, Zhiqi Shen
Disease prediction holds considerable significance in modern healthcare, because of its crucial role in facilitating early intervention and implementing effective prevention measures.
no code implementations • 2 May 2024 • Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu
Instead of directly extracting aesthetic features solely from the image, user comments associated with an image could potentially provide complementary knowledge that is useful for IAA.
no code implementations • 15 Mar 2024 • Yongjie Wang, Tong Zhang, Xu Guo, Zhiqi Shen
Due to the lack of a rigorous definition of explainable AI (XAI), a plethora of research related to explainability, interpretability, and transparency has been developed to explain and analyze the model from various perspectives.
no code implementations • 16 Feb 2024 • Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
Recent sequential recommendation models have combined pre-trained text embeddings of items with item ID embeddings to achieve superior recommendation performance.
no code implementations • 25 Jan 2024 • Haochen Li, Jonathan Leung, Zhiqi Shen
Large Language Models (LLMs) have shown prominent performance in various downstream tasks in which prompt engineering plays a pivotal role in optimizing LLMs' performance.
no code implementations • 24 Jan 2024 • Yunfan Zhang, Hong Huang, Zhiwei Xiong, Zhiqi Shen, Guosheng Lin, Hao Wang, Nicholas Vun
The core strength of our pipeline lies in its ability to generate 3D scenes that are not only visually impressive but also exhibit features like photorealism, multi-view consistency, and diversity.
no code implementations • 9 Jan 2024 • Haochen Li, Xin Zhou, Zhiqi Shen
In code search, the Generation-Augmented Retrieval (GAR) framework, which generates exemplar code snippets to augment queries, has emerged as a promising strategy to address the principal challenge of modality misalignment between code snippets and natural language queries, particularly with the demonstrated code generation capabilities of Large Language Models (LLMs).
no code implementations • 22 Dec 2023 • Honghao Fu, Zhiqi Shen, Jing Jih Chin, Hao Wang
This leads to substantial limitations in existing works of visual stimuli reconstruction from EEG, such as difficulties in aligning EEG embeddings with the fine-grained semantic information and a heavy reliance on additional large self-collected dataset for training.
no code implementations • 23 Oct 2023 • Yige Xu, Zhiwei Zeng, Zhiqi Shen
Emotion Recognition in Conversation (ERC) has been widely studied due to its importance in developing emotion-aware empathetic machines.
Computational Efficiency Emotion Recognition in Conversation
1 code implementation • 17 Oct 2023 • Yangyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan Kankanhalli
Teaching Visual Question Answering (VQA) models to refrain from answering unanswerable questions is necessary for building a trustworthy AI system.
no code implementations • 6 Sep 2023 • Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu
Image aesthetics assessment (IAA) aims to estimate the aesthetics of images.
1 code implementation • 17 Aug 2023 • Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen
To our knowledge, this is the first work to explicitly model item popularity in recommendation systems.
1 code implementation • 3 Aug 2023 • Qianwen Meng, Hangwei Qian, Yong liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
However, there is a lack of systematic analysis of unsupervised representation learning approaches for time series.
1 code implementation • 25 May 2023 • Xiao Yang, Xuejiao Zhao, Zhiqi Shen
Grug provides a unified framework integrating graph topology and node features, based on which we conduct a detailed theoretical analysis of their effectiveness.
no code implementations • 28 Mar 2023 • Yunfan Zhang, Hao Wang, Guosheng Lin, Vun Chan Hua Nicholas, Zhiqi Shen, Chunyan Miao
This paper investigates an open research task of reconstructing and generating 3D point clouds.
no code implementations • 21 Mar 2023 • Lingzi Zhang, Xin Zhou, Zhiqi Shen
To address this issue, we propose a novel pre-training framework, named Multimodal Sequence Mixup for Sequential Recommendation (MSM4SR), which leverages both users' sequential behaviors and items' multimodal content (\ie text and images) for effectively recommendation.
no code implementations • 15 Feb 2023 • Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen
To address the issue, we propose a novel Dual Graph Multitask framework for imbalanced Delivery Time Estimation (DGM-DTE).
2 code implementations • 9 Feb 2023 • HongYu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, Zhiqi Shen
Recommendation systems have become popular and effective tools to help users discover their interesting items by modeling the user preference and item property based on implicit interactions (e. g., purchasing and clicking).
1 code implementation • 28 Jan 2023 • HongYu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen
On top of the finding, we propose a model that enhances the dyadic relations by learning Dual RepresentAtions of both users and items via constructing homogeneous Graphs for multimOdal recommeNdation.
no code implementations • 28 Dec 2022 • Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Xinping Min, Zhiqi Shen, Han Yu
Crowdsourcing, in which human intelligence and productivity is dynamically mobilized to tackle tasks too complex for automation alone to handle, has grown to be an important research topic and inspired new businesses (e. g., Uber, Airbnb).
1 code implementation • 2 Dec 2022 • Qianwen Meng, Hangwei Qian, Yong liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
Learning semantic-rich representations from raw unlabeled time series data is critical for downstream tasks such as classification and forecasting.
2 code implementations • 13 Nov 2022 • Xin Zhou, Zhiqi Shen
Based on this finding, we propose a simple yet effective model, dubbed as FREEDOM, that FREEzes the item-item graph and DenOises the user-item interaction graph simultaneously for Multimodal recommendation.
1 code implementation • 5 Nov 2022 • Xin Zhou, Jinglong Wang, Yong liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
Providing accurate estimated time of package delivery on users' purchasing pages for e-commerce platforms is of great importance to their purchasing decisions and post-purchase experiences.
1 code implementation • 2 Oct 2022 • Hao Wang, Guosheng Lin, Ana García del Molino, Anran Wang, Jiashi Feng, Zhiqi Shen
In this paper we present a novel multi-attribute face manipulation method based on textual descriptions.
no code implementations • 22 Aug 2022 • Yongwei Wang, Yuan Li, Zhiqi Shen, Yuhui Qiao
Crucially, to further reverse adversarial noises and suppress redundant injected noises, a novel multiscale denoising mechanism is carefully designed that aggregates image information from neighboring scales.
no code implementations • 21 Aug 2022 • Yongwei Wang, Yong liu, Zhiqi Shen
However, there still lack efforts to evaluate the robustness of such CF systems in deployment.
no code implementations • 3 Aug 2021 • Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
Noisy labels are commonly found in real-world data, which cause performance degradation of deep neural networks.
1 code implementation • CVPR 2021 • Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
The existence of noisy labels in real-world data negatively impacts the performance of deep learning models.
1 code implementation • 29 Jan 2020 • Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen
It maintains a small set of benchmark samples on the FL server and quantifies the credibility of the client local data without directly observing them by computing the mutual cross-entropy between performance of the FL model on the local datasets and that of the client local FL model on the benchmark dataset.
no code implementations • 30 Aug 2019 • Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
Video contents have become a critical tool for promoting products in E-commerce.
no code implementations • 7 Dec 2018 • Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
As artificial intelligence (AI) systems become increasingly ubiquitous, the topic of AI governance for ethical decision-making by AI has captured public imagination.
no code implementations • 2 Jul 2018 • Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen
To tackle the distribution adaptation problem, in this paper, we propose a novel transfer learning approach, named as Balanced Distribution \underline{A}daptation~(BDA), which can adaptively leverage the importance of the marginal and conditional distribution discrepancies, and several existing methods can be treated as special cases of BDA.
no code implementations • CVPR 2018 • Shaojing Fan, Zhiqi Shen, Ming Jiang, Bryan L. Koenig, Juan Xu, Mohan S. Kankanhalli, Qi Zhao
In this paper, we present the first study to focus on the relation between emotional properties of an image and visual attention.