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- research-articleAugust 2023
Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 4April 2024, Pages 1582–1596https://doi.org/10.1109/TKDE.2023.3304365Co-location patterns, which capture the phenomenon that objects with certain labels are often located in close geographic proximity, are defined based on a support measure which quantifies the prevalence of a pattern candidate in the form of a label set. ...
- abstractAugust 2023
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023)
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2023, Pages 5897–5898https://doi.org/10.1145/3580305.3599205The goal of the 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers' expertise ...
- research-articleJuly 2023
Dimension-independent certified neural network watermarks via mollifier smoothing
ICML'23: Proceedings of the 40th International Conference on Machine LearningJuly 2023, Article No.: 1203, Pages 28976–29008Certified_Watermarks is the first to provide a watermark certificate against ℓ2-norm watermark removal attacks, by leveraging the randomized smoothing techniques for certified robustness to adversarial attacks. However, the randomized smoothing ...
- research-articleJuly 2023
Fast federated machine unlearning with nonlinear functional theory
ICML'23: Proceedings of the 40th International Conference on Machine LearningJuly 2023, Article No.: 169, Pages 4241–4268Federated machine unlearning (FMU) aims to remove the influence of a specified subset of training data upon request from a trained federated learning model. Despite achieving remarkable performance, existing FMU techniques suffer from inefficiency due to ...
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- research-articleMay 2023
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 1Article No.: 74, Pages 1–26https://doi.org/10.1145/3588928Finding frequent subgraph patterns in a big graph is an important problem with many applications such as classifying chemical compounds and building indexes to speed up graph queries. Since this problem is NP-hard, some recent parallel systems have been ...
- opinionMay 2023
Effective Network Analytics: Network Visualization and Graph Data Management
IEEE Computer Graphics and Applications (ICGA), Volume 43, Issue 3May-June 2023, Pages 10–11https://doi.org/10.1109/MCG.2023.3267210Network analytics provides a scientific solution to interact with networks through effective management of network data and corresponding visualization. Network analytics has been considered essential in many research areas as well as in commercial ...
- research-articleApril 2023
Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation
Education and Information Technologies (KLU-EAIT), Volume 28, Issue 11Nov 2023, Pages 13943–13967https://doi.org/10.1007/s10639-023-11742-4AbstractTechnology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in ...
- opinionDecember 2022
Guest Editorial for Selected Papers From BIOKDD 2021
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 6Pages 3068–3069https://doi.org/10.1109/TCBB.2022.3208759The papers in this special section were presented at the 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021) that was held virtually on August 15, 2021. The conference featured the special theme of “Artificial Intelligence in ...
- research-articleNovember 2022
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper)
- Jalal Khalil,
- Da Yan,
- Lyuheng Yuan,
- Mostafa Jafarzadehfadaki,
- Saugat Adhikari,
- Virginia P. Sisiopiku,
- Zhe Jiang
SIGSPATIAL '22: Proceedings of the 30th International Conference on Advances in Geographic Information SystemsNovember 2022, Article No.: 29, Pages 1–10https://doi.org/10.1145/3557915.3560963App-based ride-hailing services, such as Uber and Lyft, have become popular thanks to technology advancements including smartphones and 4G/5G network. However, little is known about to what degree their operations impact urban traffic since ...
- demonstrationNovember 2022
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper)
- Saugat Adhikari,
- Da Yan,
- Mirza Tanzim Sami,
- Jalal Khalil,
- Lyuheng Yuan,
- Bhadhan Roy Joy,
- Zhe Jiang,
- Arpan Man Sainju
SIGSPATIAL '22: Proceedings of the 30th International Conference on Advances in Geographic Information SystemsNovember 2022, Article No.: 28, Pages 1–4https://doi.org/10.1145/3557915.3560962Accurate and timely mapping of flood extent plays a crucial role in disaster management such as damage assessment and relief activities. In recent years, high-resolution optical imagery becomes increasingly available with the wide deployment of ...
- opinionOctober 2022
Guest Editorial for Selected Papers From BIOKDD 2020
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 5Pages 2545–2546https://doi.org/10.1109/TCBB.2022.3176912THE 19th International Workshop on Data Mining in Bioinformatics (BIOKDD 2020) was held virtually on August 24, 2020 due to the COVID-19 pandemic. BIOKDD 2020 featured the special theme of “Battling COVID-19” which particularly welcomed paper submissions ...
- abstractAugust 2022
21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022)
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2022, Pages 4910–4911https://doi.org/10.1145/3534678.3542888The goal of the 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers' expertise ...
- research-articleAugust 2022
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2022, Pages 554–564https://doi.org/10.1145/3534678.3539410Given raster imagery features and imperfect vector training labels with registration uncertainty, this paper studies a deep learning framework that can quantify and reduce the registration uncertainty of training labels as well as train neural network ...
Efficient Algorithms for Maximal k-Biplex Enumeration
SIGMOD '22: Proceedings of the 2022 International Conference on Management of DataJune 2022, Pages 860–873https://doi.org/10.1145/3514221.3517847Mining maximal subgraphs with cohesive structures from a bipartite graph has been widely studied. One important cohesive structure on bipartite graphs is k-biplex, where each vertex on one side disconnects at most k vertices on the other side. In this ...
- posterMarch 2022
An LLVM-based open-source compiler for NVIDIA GPUs
PPoPP '22: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel ProgrammingApril 2022, Pages 448–449https://doi.org/10.1145/3503221.3508428We present GASS, an LLVM-based open-source compiler for NVIDIA GPU's SASS machine assembly. GASS is the first open-source compiler targeting SASS, and it provides a unified toolchain for currently fragmented low-level performance research on NVIDIA GPUs. ...
- research-articleJanuary 2022
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 13, Issue 2Article No.: 26, Pages 1–22https://doi.org/10.1145/3481043Given earth imagery with spectral features on a terrain surface, this paper studies surface segmentation based on both explanatory features and surface topology. The problem is important in many spatial and spatiotemporal applications such as flood extent ...
- research-articleNovember 2021
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model
GEOAI '21: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge DiscoveryNovember 2021, Pages 47–50https://doi.org/10.1145/3486635.3491074Road safety barriers (e.g., concrete barriers, metal crash barriers, rumble strips) play an important role in preventing or mitigating vehicle crashes. Accurate maps of road safety barriers are critical components of safety infrastructure management ...