A5022919897- Online Learning and Analytics
- Speech and Audio Processing
- Data Stream Mining Techniques
- Music and Audio Processing
- Hand Gesture Recognition Systems
- Machine Learning and Data Classification
- Educational Technology and Assessment
- Process Optimization and Integration
- Energy Load and Power Forecasting
- Rough Sets and Fuzzy Logic
- Topic Modeling
- Image Retrieval and Classification Techniques
- Indoor and Outdoor Localization Technologies
- Anomaly Detection Techniques and Applications
- Fault Detection and Control Systems
- Stock Market Forecasting Methods
- Infrastructure Maintenance and Monitoring
- Recommender Systems and Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Handwritten Text Recognition Techniques
- Advanced Graph Neural Networks
- Advanced Statistical Process Monitoring
- Natural Language Processing Techniques
- Automated Road and Building Extraction
- Solar Radiation and Photovoltaics
Chongqing University
2022-2025
Southeast University
2022
Tsinghua University
2019-2021
Shenyang Pharmaceutical University
2021
PLA Army Engineering University
2017-2020
University of Science and Technology of China
2020
Beijing Academy of Artificial Intelligence
2019
Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Chenyu Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang. Proceedings of the 58th Annual Meeting Association for Computational Linguistics. 2020.
This paper presents WordRecorder, an efficient and accurate handwriting recognition system that identifies words using acoustic signals generated by pens paper, thus enabling ubiquitous recognition. To achieve this, we carefully craft a new deep-learning based sensing framework with three major components, i.e., segmentation, classification, word suggestion. First, design dual-window approach to segment the raw signal into series of letters exploiting subtle features handwriting. Then...
The prosperity of massive open online courses provides fodder for plentiful research efforts on adaptive learning. However, current open-access educational datasets are still far from sufficient to meet the need various topics Existing released often cover only small-scale data, lack fine-grained knowledge concepts. They even difficult curate and supplement due platform limitations. In this work, we construct MOOCCubeX, a large, knowledge-centered repository consisting 4,216 courses, 230,263...
Data cleansing is an essential approach for improving data quality. Therefore, it the key to avoiding false alarm of monitoring system due anomaly itself. consists two parts: identification and repair. However, current research on has mainly focused lacks efficient repair methods. The lies in sensor correlation models based mapping relationships between sensors. To obtain a good inter-sensor relationship model, first necessary exclude anomalous from training set used modeling. two-stage...
Bubble diagrams containing key features and information are used for generative design of floor plans. The lack reliable methods automatically generating bubble significantly affects the smoothness layout generation systems. To improve time-consuming unstable acquisition process, a novel method based on graph neural networks (GNNs) is proposed to generate various residential diagrams. First, dual-branch network (DBGNN) introduced learn feature patterns heterogeneous links, including...
The paper proposes a new HCI mechanism for device-free gesture recognition on the table using acoustic signal, which can extend input and interactions beyond tiny screen of mobile device allow users to provide without blocking view. Previous researches have either relied additional devices (e.g., special wearable mouse) or required active signals demand cost be less prone popularize, while we explore passive signals. This technology is more challenging due lack an effective approach...
As Massive Open Online Courses (MOOCs) become increasingly popular, it is promising to automatically provide extracurricular knowledge for MOOC users. Suffering from semantic drifts and lack of guidance, existing methods can not effectively expand course concepts in complex environments. In this paper, we first build a novel boundary during searching new via external base then utilize heterogeneous features verify the high-quality results. addition, involve human efforts our model, design an...
Acoustic sensing has brought forth the advances of prosperous applications such as gesture recognition. Specifically, ambient acoustic drawn many contentions due to ease use property. Unfortunately, inherent noise is major reason for unstable In this work, we propose "SoundWrite II", which an improved version our previously designed system. Compared with previous design, utilize two threshold values identify effective signals from original noisy input, and leverage MFCC (Mel frequency...
Within the prosperity of Massive Open Online Courses (MOOCs), education applications that automatically provide extracurricular knowledge for MOOC users become rising research topics. However, courses’ diversity and rapid updates make it more challenging to find suitable new students. In this paper, we present ExpanRL, an end-to-end hierarchical reinforcement learning (HRL) model concept expansion in MOOCs. Employing a two-level HRL mechanism seed selection expansion, ExpanRL is feasible...