no code implementations • 18 Apr 2024 • Xianyu Chen, Ming Jiang, Qi Zhao
Understanding how attention varies across individuals has significant scientific and societal impacts.
no code implementations • 27 Dec 2023 • Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
Solving the problems encountered by students poses a significant challenge for traditional deep learning models, as it requires not only a broad spectrum of subject knowledge but also the ability to understand what constitutes a student's individual difficulties.
no code implementations • 5 Aug 2023 • Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Notice that these ranking metrics do not consider the effects of the contextual dependence among the items in the list, we design a new family of simulation-based ranking metrics, where existing metrics can be regarded as special cases.
no code implementations • 7 Jun 2023 • Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Noticing that existing approaches fail to consider the correlations of concepts in the path, we propose a novel framework named Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation (SRC), which formulates the recommendation task under a set-to-sequence paradigm.
no code implementations • 3 Aug 2022 • Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu
Modelling the user's multiple behaviors is an essential part of modern e-commerce, whose widely adopted application is to jointly optimize click-through rate (CTR) and conversion rate (CVR) predictions.
1 code implementation • 25 Feb 2022 • Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu
We thoroughly evaluate our proposed MVG approach in the context of algorithm detection, an important and challenging subfield of PLP.
no code implementations • 9 Feb 2022 • Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu
With the prevalence of live broadcast business nowadays, a new type of recommendation service, called live broadcast recommendation, is widely used in many mobile e-commerce Apps.
no code implementations • 7 Feb 2022 • Jiarui Jin, Xianyu Chen, Weinan Zhang, JunJie Huang, Ziming Feng, Yong Yu
More concretely, we first design a search-based module to retrieve a user's relevant historical behaviors, which are then mixed up with her recent records to be fed into a time-aware sequential network for capturing her time-sensitive demands.
1 code implementation • CVPR 2022 • Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao
With an overarching goal of developing intelligent systems to assist humans in various daily activities, we propose VisualHow, a free-form and open-ended research that focuses on understanding a real-life problem and deriving its solution by incorporating key components across multiple modalities.
1 code implementation • Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence 2021 • Xianyu Chen, Ming Jiang, Qi Zhao
Image captioning models depend on training with paired image-text corpora, which poses various challenges in describing images containing novel objects absent from the training data.
1 code implementation • CVPR 2021 • Xianyu Chen, Ming Jiang, Qi Zhao
Conditioned on a task guidance map, the proposed model learns question-specific attention patterns to generate scanpaths.
1 code implementation • IEEE Winter Conference on Applications of Computer Vision 2021 • Xianyu Chen, Ming Jiang, Qi Zhao
We propose an ensemble-based self-distillation method that allows image captioning models to be trained with unpaired images and captions.
1 code implementation • 9 Dec 2020 • Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
Knowledge tracing (KT) defines the task of predicting whether students can correctly answer questions based on their historical response.
Ranked #3 on Knowledge Tracing on EdNet
no code implementations • 23 Jul 2020 • Xianyu Chen, Ming Jiang, Qi Zhao
Few-shot object detection aims at detecting objects with few annotated examples, which remains a challenging research problem yet to be explored.
1 code implementation • 16 Mar 2020 • Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao
Few-shot object detection is a challenging but realistic scenario, where only a few annotated training images are available for training detectors.