no code implementations • 26 Feb 2024 • Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang, Benjamin Fankhauser, Philippe Cudre-Mauroux
Location prediction forecasts a user's location based on historical user mobility traces.
no code implementations • 30 Jan 2024 • Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu
Due to non-stationarity of time series, the distribution shift problem largely hinders the performance of time series forecasting.
no code implementations • 25 Dec 2023 • Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang
In the realm of human mobility, the decision-making process for selecting the next-visit location is intricately influenced by a trade-off between spatial and temporal constraints, which are reflective of individual needs and preferences.
2 code implementations • NeurIPS 2023 • Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
FreTS mainly involves two stages, (i) Domain Conversion, that transforms time-domain signals into complex numbers of frequency domain; (ii) Frequency Learning, that performs our redesigned MLPs for the learning of real and imaginary part of frequency components.
no code implementations • 3 Oct 2023 • Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
We design several experiments to indicate that our framework can outperform compared to other generative models for the urban planning task.
no code implementations • 6 Sep 2023 • Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
Subsequently, we utilize the defined query-aware temporal paths on a history temporal graph to model historical path information related to queries for reasoning.
no code implementations • 16 Aug 2023 • Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang
Existing statistical methods model the MNAR mechanism by different decomposition of the joint distribution of the complete data and the missing mask.
1 code implementation • 24 May 2023 • Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Hui Xiong
In this paper, we present a MLP-like architecture for sequential recommendation, namely TriMLP, with a novel Triangular Mixer for cross-token communications.
1 code implementation • 25 Apr 2023 • Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Temporal knowledge graph (TKG) reasoning aims to predict the future missing facts based on historical information and has gained increasing research interest recently.
1 code implementation • 22 Feb 2023 • Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu
The distribution shift in Time Series Forecasting (TSF), indicating series distribution changes over time, largely hinders the performance of TSF models.
no code implementations • 1 Jan 2023 • Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
To tackle the challenges, we formulate the problem as a course representation learning task-based and develop an Information-aware Graph Representation Learning(IaGRL) for multi-view MOOC quality evaluation.
no code implementations • 26 Dec 2022 • Kafeng Wang, Pengyang Wang, Chengzhong Xu
Specifically, we construct the AFE pipeline based on reinforcement learning setting, where each feature is assigned an agent to perform feature transformation \com{and} selection, and the evaluation score of the produced features in downstream tasks serve as the reward to update the policy.
no code implementations • 25 Dec 2022 • Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu
To tackle the challenge, we propose a generic model for enabling the current traffic speed prediction methods to preserve implicit spatial correlations.
no code implementations • 28 Sep 2022 • Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou
Moreover, as the neighborhood size exponentially expands with more hops considered, we propose neighborhood sampling strategies to improve learning efficiency.
no code implementations • 16 Sep 2022 • Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
Specifically, we first propose a hierarchical transformer to extract the textual semantic information of proposals.
no code implementations • 25 May 2022 • Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu
In many scenarios, 1) data streams are generated in real time; 2) labeled data are expensive and only limited labels are available in the beginning; 3) real-world data is not always i. i. d.
no code implementations • 13 Mar 2022 • Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes
The profiling framework is formulated into a reinforcement learning task, where an agent is a next-visit planner, an action is a POI that a user will visit next, and the state of the environment is a fused representation of a user and spatial entities.
no code implementations • 7 Mar 2022 • Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou
After extracting the semantic and interdisciplinary knowledge, we design a level-wise prediction component to fuse the two types of knowledge representations and detect interdisciplinary topic paths for each proposal.
no code implementations • 26 Dec 2021 • Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
However, three major challenges arise: 1) how to define a quantitative land-use configuration?
1 code implementation • 8 Oct 2021 • Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
In this paper, we propose a multi-task self-supervised learning-based researcher data pre-training model named RPT.
no code implementations • 22 Sep 2021 • Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Texts of spatial entities, on the other hand, provide semantic understanding of latent feature labels, but is insensible to deep SRL models.
no code implementations • 14 Sep 2021 • Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang
In this paper, we formulate the proposal classification problem into a hierarchical multi-label classification task.
no code implementations • 7 Jan 2021 • Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles Hughes, Yanjie Fu
To solve the problem, we propose an adversarial training strategy to guarantee the robustness of the representation module.
no code implementations • 16 Sep 2020 • Denghui Zhang, Junming Liu, HengShu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
However, it is still a challenging task since (1) the job title and job transition (job-hopping) data is messy which contains a lot of subjective and non-standard naming conventions for the same position (e. g., Programmer, Software Development Engineer, SDE, Implementation Engineer), (2) there is a large amount of missing title/transition information, and (3) one talent only seeks limited numbers of jobs which brings the incompleteness and randomness modeling job transition patterns.
no code implementations • 27 Aug 2020 • Wei Fan, Kunpeng Liu, Hao liu, Pengyang Wang, Yong Ge, Yanjie Fu
Motivated by such a computational dilemma, this study is to develop a novel feature space navigation method.
no code implementations • 26 Aug 2020 • Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
To this end, we propose a structured anomaly detection framework to defend WTNs by modeling the spatio-temporal characteristics of cyber attacks in WTNs.
no code implementations • 23 Aug 2020 • Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou
The integrated hierarchical aggregation module aims to preserve the tree structure by combining GNN with Gated Recurrent Unit to integrate the hierarchical and sequential neighborhood information on the tree structure to node representations.
no code implementations • 22 Aug 2020 • Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
The objective is then to propose an adversarial learning framework that can automatically generate such tensor for an unplanned area.