549 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hong Kong University of Science and TechnologyHK16 papers
- Chinese Academy of SciencesCN3 papers
- National University of SingaporeSG3 papers
- South China University of TechnologyCN3 papers
- University of Hong KongHK3 papers
- Chongqing UniversityCN2 papers
- East China Normal UniversityCN2 papers
- Guangzhou UniversityCN2 papers
- Harvard UniversityUS2 papers
- Institute of PhysicsPL2 papers
- National Laboratory for SuperconductivityCN2 papers
- Oak Ridge National LaboratoryUS2 papers
27 papers
EMooly: Supporting Autistic Children in Collaborative Social-Emotional Learning with Caregiver Participation through Interactive AI-infused and AR Activities
Yue Lyu, Di Liu, Pengcheng An +4
Children with autism spectrum disorder (ASD) have social-emotional deficits that lead to difficulties in recognizing emotions as well as understanding and responding to social inte…
Data Agents: Agentic Data Systems
Guoliang Li, Peiyao Zhou, Xuanhe Zhou +3
Traditional data systems face profound limitations in the AI era, relying on human-crafted pipelines, lacking semantic understanding of heterogeneous data, and operating through ri…
Simulation of stochastic volatility models via operator splitting schemes
Lilian Hu, Congxin He, Yue Kuen Kwok +1
The standard Euler discretization schemes for numerical option pricing under stochastic volatility models are known to exhibit high biases and potential unreliability. The alternat…
Efficient simulation schemes for pricing options under the Ornstein--Uhlenbeck driven stochastic volatility model
Congxin He, Yue Kuen Kwok
We develop an efficient Monte Carlo simulation scheme for pricing options under the Ornstein-Uhlenbeck driven stochastic volatility model via the operator splitting approach. With…
Fast Parallel Exact Inference on Bayesian Networks: Poster
Jiantong Jiang, Zeyi Wen, Atif Mansoor +1
Bayesian networks (BNs) are attractive, because they are graphical and interpretable machine learning models. However, exact inference on BNs is time-consuming, especially for comp…
Identity, Crimes, and Law Enforcement in the Metaverse
Hua Xuan Qin, Yuyang Wang, Pan Hui
With the boom in metaverse-related projects in major areas of the public's life, the safety of users becomes a pressing concern. We believe that an international legal framework sh…
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data
Tailin Zhou, Jun Zhang, Danny H. K. Tsang
Federated learning allows multiple clients to collaboratively train a model without exchanging their data, thus preserving data privacy. Unfortunately, it suffers significant perfo…
S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM
Dapeng Feng, Yuhua Qi, Shipeng Zhong +5
The burgeoning demand for collaborative robotic systems to execute complex tasks collectively has intensified the research community's focus on advancing simultaneous localization…
Spin-phonon coupling driven Charge density wave in a Kagome Magnet
H. Miao, T. T. Zhang, H. X. Li +14
The intertwining between spin, charge, and lattice degrees of freedom can give rise to unusual macroscopic quantum states, including high-temperature superconductivity and quantum…
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems
Wei Liu, Zhilu Lai, Kiran Bacsa +1
Accurate structural response prediction forms a main driver for structural health monitoring and control applications. This often requires the proposed model to adequately capture…
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
Meng Xiao, Ziyue Qiao, Yanjie Fu +5
The peer merit review of research proposals has been the major mechanism for deciding grant awards. However, research proposals have become increasingly interdisciplinary. It has b…
Real-time Neural Dense Elevation Mapping for Urban Terrain with Uncertainty Estimations
Bowen Yang, Qingwen Zhang, Ruoyu Geng +2
Having good knowledge of terrain information is essential for improving the performance of various downstream tasks on complex terrains, especially for the locomotion and navigatio…
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting
Juyong Jiang, Binqing Wu, Ling Chen +2
Traffic forecasting is an essential problem in urban planning and computing. The complex dynamic spatial-temporal dependencies among traffic objects (e.g., sensors and road segment…
Testing Electron-phonon Coupling for the Superconductivity in Kagome Metal
Yigui Zhong, Shaozhi Li, Hongxiong Liu +12
In crystalline materials, electron-phonon coupling (EPC) is a ubiquitous many-body interaction that drives conventional Bardeen-Cooper-Schrieffer superconductivity. Recently, in a…
Semi-Supervised Hierarchical Graph Classification
Jia Li, Yongfeng Huang, Heng Chang +1
Node classification and graph classification are two graph learning problems that predict the class label of a node and the class label of a graph respectively. A node of a graph u…
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
Juyong Jiang, Peiyan Zhang, Yingtao Luo +6
Sequential recommendation (SR) aims to model users dynamic preferences from a series of interactions. A pivotal challenge in user modeling for SR lies in the inherent variability o…
Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage
Jinbao Zhu, Songze Li, Jie Li
We study two problems of private matrix multiplication, over a distributed computing system consisting of a master node, and multiple servers that collectively store a family of pu…
Re-shaping Post-COVID-19 Teaching and Learning: A Blueprint of Virtual-Physical Blended Classrooms in the Metaverse Era
Yuyang Wang, Lik-Hang Lee, Tristan Braud +1
During the COVID-19 pandemic, most countries have experienced some form of remote education through video conferencing software platforms. However, these software platforms fail to…
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation
Jinbao Zhu, Hengxuan Tang, Songze Li +1
We consider the problem of evaluating arbitrary multivariate polynomials over a massive dataset containing multiple inputs, on a distributed computing system with a master node and…
Distributionally robust risk evaluation with a causality constraint and structural information
Bingyan Han
This work studies the distributionally robust evaluation of expected values over temporal data. A set of alternative measures is characterized by the causal optimal transport. We p…
A Systematic Approach towards Efficient Private Matrix Multiplication
Jinbao Zhu, Songze Li
We consider the problems of Private and Secure Matrix Multiplication (PSMM) and Fully Private Matrix Multiplication (FPMM), for which matrices privately selected by a master node a…
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
Ge-Peng Ji, Lei Zhu, Mingchen Zhuge +1
Camouflaged Object Detection (COD) aims to detect objects with similar patterns (e.g., texture, intensity, colour, etc) to their surroundings, and recently has attracted growing re…
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
Junfeng Hu, Yuxuan Liang, Zhencheng Fan +3
Sensors are the key to environmental monitoring, which impart benefits to smart cities in many aspects, such as providing real-time air quality information to assist human decision…
Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion Tasks
Wenxin Wang, Jun Ma, Zilong Cheng +3
This paper proposes a global iterative sliding mode control approach for high-precision contouring tasks of a flexure-linked biaxial gantry system. For such high-precision contouri…