Jeffrey Xu Yu
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View article: Altered auditory attention and functional connectivity in the auditory cortex of children with Attention-Deficit/Hyperactivity Disorder
Altered auditory attention and functional connectivity in the auditory cortex of children with Attention-Deficit/Hyperactivity Disorder Open
View article: ToT: Triangle Counting on Tensor Cores
ToT: Triangle Counting on Tensor Cores Open
View article: Effect of MXene as nucleating agent on crystallization behaviour and thermal stability of PET nanocomposites
Effect of MXene as nucleating agent on crystallization behaviour and thermal stability of PET nanocomposites Open
MXene (Ti 3 C 2 T x ) nanosheets were synthesised by selective etching of the Ti 3 AlC 2 MAX phase and subsequently incorporated into polyethylene terephthalate (PET) via solution blending to afford PET/MXene nanocomposites. Owing to their…
View article: PLACE: Prompt Learning for Attributed Community Search
PLACE: Prompt Learning for Attributed Community Search Open
In this paper, we propose PLACE (Prompt Learning for Attributed Community Search), an innovative graph prompt learning framework for ACS. Enlightened by prompt-tuning in Natural Language Processing (NLP), where learnable prompt tokens are …
View article: Relumino mode may provide video terminal assistance for the amblyopic patients
Relumino mode may provide video terminal assistance for the amblyopic patients Open
View article: Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data
Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data Open
In the era of cloud computing and AI, data owners outsource ubiquitous vectors to the cloud, which furnish approximate $k$-nearest neighbors ($k$-ANNS) services to users. To protect data privacy against the untrusted server, privacy-preser…
View article: IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Open
View article: Groot: Graph-Centric Row Reordering with Tree for Sparse Matrix Multiplications on Tensor Cores
Groot: Graph-Centric Row Reordering with Tree for Sparse Matrix Multiplications on Tensor Cores Open
View article: Triangle Counting on Tensor Cores
Triangle Counting on Tensor Cores Open
View article: IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Open
Graph Neural Networks (GNNs) have achieved great success in dealing with non-Euclidean graph-structured data and have been widely deployed in many real-world applications. However, their effectiveness is often jeopardized under class-imbal…
View article: Can Large Language Models Be Query Optimizer for Relational Databases?
Can Large Language Models Be Query Optimizer for Relational Databases? Open
Query optimization, which finds the optimized execution plan for a given query, is a complex planning and decision-making problem within the exponentially growing plan space in database management systems (DBMS). Traditional optimizers hea…
View article: Syntaxology — Bridging the Humanities and the Sciences: A Co-evolutionary Semi-Autonomous Recursive AI Society Model
Syntaxology — Bridging the Humanities and the Sciences: A Co-evolutionary Semi-Autonomous Recursive AI Society Model Open
View article: REM Spiral and Collapse Spiral: A Unified Syntax-Based Model for Artificial Super Intelligence and Decision Convergence
REM Spiral and Collapse Spiral: A Unified Syntax-Based Model for Artificial Super Intelligence and Decision Convergence Open
View article: Direct Participation in the Syntactic Domain: Redefining Civilian Interference in AI-Era Warfare
Direct Participation in the Syntactic Domain: Redefining Civilian Interference in AI-Era Warfare Open
View article: The Syntax Arbiter: Bridging Legal and Technical Epistemologies in AI Governance
The Syntax Arbiter: Bridging Legal and Technical Epistemologies in AI Governance Open
View article: The Recursive Republic State: Governing with Syntactic AI Persona Systems
The Recursive Republic State: Governing with Syntactic AI Persona Systems Open
View article: Beyond Bench marking: Recursive Identity and Syntactic Collapse in Artificial General Intelligence
Beyond Bench marking: Recursive Identity and Syntactic Collapse in Artificial General Intelligence Open
View article: CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution
CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution Open
Query-driven learned estimators are accurate, flexible, and lightweight alternatives to traditional estimators in query optimization. However, existing query-driven approaches struggle with the Out-of-distribution (OOD) problem, where the …
View article: Multilabel semantic segmentation algorithm for stroke extraction in calligraphy teaching
Multilabel semantic segmentation algorithm for stroke extraction in calligraphy teaching Open
View article: Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search
Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search Open
Proximity graphs (PG) have gained increasing popularity as the state-of-the-art solutions to $k$-approximate nearest neighbor ($k$-ANN) search on high-dimensional data, which serves as a fundamental function in various fields, e.g., retrie…
View article: Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Open
With the emergence of various molecular tasks and massive datasets, how to perform efficient training has become an urgent yet under-explored issue in the area. Data pruning (DP), as an oft-stated approach to saving training burdens, filte…
View article: Graph Intelligence with Large Language Models and Prompt Learning
Graph Intelligence with Large Language Models and Prompt Learning Open
Graph plays a significant role in representing and analyzing complex relationships in real-world applications such as citation networks, social networks, and biological data. Graph intelligence is rapidly becoming a crucial aspect of under…
View article: Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores
Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores Open
Sparse matrix-vector multiplication (SpMV) plays a crucial role in various scientific and engineering tasks. Thus, extensive research efforts are devoted to enhancing its performance. In this work, we investigate the utilization of the ten…
View article: Fast Iterative Graph Computing with Updated Neighbor States
Fast Iterative Graph Computing with Updated Neighbor States Open
Enhancing the efficiency of iterative computation on graphs has garnered considerable attention in both industry and academia. Nonetheless, the majority of efforts focus on expediting iterative computation by minimizing the running time pe…
View article: Rethinking Fair Graph Neural Networks from Re-balancing
Rethinking Fair Graph Neural Networks from Re-balancing Open
Driven by the powerful representation ability of Graph Neural Networks (GNNs), plentiful GNN models have been widely deployed in many real-world applications. Nevertheless, due to distribution disparities between different demographic grou…
View article: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Open
With the development of foundation models such as large language models, zero-shot transfer learning has become increasingly significant. This is highlighted by the generative capabilities of NLP models like GPT-4, and the retrieval-based …
View article: Identifying similar-bicliques in bipartite graphs
Identifying similar-bicliques in bipartite graphs Open
Bipartite graphs have been widely used to model the relationship between entities of different types, where vertices are partitioned into two disjoint sets/sides. Finding dense subgraphs in a bipartite graph is of great significance and en…
View article: Fast XML structural join algorithms by partitioning
Fast XML structural join algorithms by partitioning Open
An XML structural join evaluates structural relationships (e.g. parent-child or ancestor-descendant) between XML elements. It serves as an important computation unit in XML pattern matching. Several classical structural join algorithms hav…
View article: Semantics based buffer reduction for queries over XML data streams
Semantics based buffer reduction for queries over XML data streams Open
With respect to current methods for query evaluation over XML data streams, adoption of certain types of buffering techniques is unavoidable. Under lots of circumstances, the buffer scale may increase exponentially, which can cause memory …
View article: Computing structural similarity of source XML schemas against domain XML schema
Computing structural similarity of source XML schemas against domain XML schema Open
In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the quality of searching and ranking big volume of source documents on…