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Preprints
, 2026, RAIDS: Rethinking Data Systems as Responsible Intelligent Infrastructure, https://arxiv.org/abs/2606.21831v1
, 2026, ESG Reporting Lifecycle Management with Large Language Models and AI Agents, http://dx.doi.org/10.48550/arxiv.2603.10646
, 2026, A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning, https://arxiv.org/abs/2601.21162v2
, 2026, Do Language Models Know Who Fails? Look-Ahead Bias in LLM Credit-Risk Assessment, http://dx.doi.org/10.2139/ssrn.7429342
, 2025, Efficient Hypergraph Pattern Matching via Match-and-Filter and Intersection Constraint, http://dx.doi.org/10.48550/arxiv.2512.10621
, 2025, Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching, http://dx.doi.org/10.48550/arxiv.2511.19008
, 2025, EulerESG: Automating ESG Disclosure Analysis with LLMs, http://dx.doi.org/10.48550/arxiv.2511.21712
, 2025, On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing, http://dx.doi.org/10.48550/arxiv.2501.14600
, 2025, Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models, http://dx.doi.org/10.48550/arxiv.2508.00788
, 2025, Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems, http://dx.doi.org/10.48550/arxiv.2504.12074
, 2023, An Empirical Analysis of Just-in-Time Compilation in Modern Databases, http://dx.doi.org/10.48550/arxiv.2311.04692
, 2023, HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs, http://dx.doi.org/10.48550/arxiv.2302.06119
, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, http://dx.doi.org/10.48550/arxiv.2103.14294
, 2021, FAST: FPGA-based Subgraph Matching on Massive Graphs, http://dx.doi.org/10.48550/arxiv.2102.10768
, 2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, http://dx.doi.org/10.48550/arxiv.1906.11518
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], http://dx.doi.org/10.21203/rs.3.rs-2572561/v1
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], http://dx.doi.org/10.21203/rs.3.rs-2572561/v2
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], http://dx.doi.org/10.21203/rs.3.rs-2572561/v3
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], http://dx.doi.org/10.21203/rs.3.rs-2572561/v4
, Improving Access to Building Licensing Information in Australia: Design and Development of a Graph-Based Retrieval-Augmented Generation (RAG) Artificial Intelligence (AI) System, http://dx.doi.org/10.20944/preprints202602.0640.v1
, Machine Learning Methods in Climate Prediction: A Survey, http://dx.doi.org/10.20944/preprints202309.1764.v1
, Machine Learning Methods in Weather and Climate Applications: A Survey, http://dx.doi.org/10.20944/preprints202309.1764.v2
, Towards Efficient Simulation-Based Constrained Temporal Graph Pattern Matching, http://dx.doi.org/10.2139/ssrn.4187676