2026
RoleMine: Mining Behavioral Patterns in Heterogeneous Call Graphs Proceedings Article
In: Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM 2026), ACM, Rome, Italy, 2026, (Accepted at CIKM 2026; DOI not yet independently verified as of 2026-08-17).
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation Proceedings Article
In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 534–542, AAAI Press, Singapore, 2026.
Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams Proceedings Article
In: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), Vol. 1, pp. 1089–1100, ACM, Jeju, Korea, 2026.
Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso Proceedings Article
In: Proceedings of the ACM Web Conference 2026 (WWW 2026), pp. 7485–7494, ACM, Dubai, UAE, 2026.
Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams Proceedings Article
In: Proceedings of the ACM Web Conference 2026 (WWW 2026), pp. 6989–7000, ACM, Dubai, UAE, 2026.
When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency Proceedings Article
In: The Fourteenth International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 2026, (ICLR 2026 Poster).
ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks Proceedings Article
In: The Fourteenth International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 2026, (ICLR 2026 Poster).
AnomalyFilter: Selective Denoising Diffusion Model for Time Series Anomaly Detection Proceedings Article
In: Proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026), pp. 429–441, Springer, Hong Kong, China, 2026.
Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments Proceedings Article
In: Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Seoul, South Korea, 2026, (Accepted at ICML 2026).
Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series Proceedings Article
In: Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2026), Bremen, Germany, 2026, (Accepted at IJCAI 2026).
AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression Proceedings Article
In: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), Vol. 2, ACM, Jeju, Korea, 2026.
2025
Online Multi-Scale Anomaly Detection via HNSW-Driven Graph Clustering and Dynamic Centroid Updates Proceedings Article
In: The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025), pp. 1–14, Springer, Kyoto, Japan, 2025.
Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages Proceedings Article
In: Proceedings of the International AAAI Conference on Web and Social Media, pp. 1262–1294, AAAI Press, Copenhagen, Denmark, 2025.
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams Proceedings Article
In: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), pp. 460–471, ACM, Toronto, ON, Canada, 2025.
Modeling Time-evolving Causality over Data Streams Proceedings Article
In: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), pp. 153–164, ACM, Toronto, ON, Canada, 2025.
Long-Term EEG Partitioning for Seizure Onset Detection Proceedings Article
In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 14221–14229, AAAI Press, Philadelphia, Pennsylvania, 2025.
Modeling Latent Non-Linear Dynamical System over Time Series Proceedings Article
In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 11663–11671, AAAI Press, Philadelphia, Pennsylvania, 2025.
CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems Proceedings Article
In: Companion Proceedings of the ACM Web Conference 2025 (WWW Companion 2025), pp. 1214–1218, ACM, Sydney, Australia, 2025.
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation Proceedings Article
In: The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore, 2025, (ICLR 2025 Oral).
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning Proceedings Article
In: Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025), pp. 172–184, Springer, Sydney, Australia, 2025.
MicroAdapt: Self-Evolutionary Dynamic Modeling Algorithms for Time-evolving Data Streams Proceedings Article
In: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), pp. 2114–2125, ACM, Toronto, ON, Canada, 2025.
Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies Proceedings Article
In: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), pp. 2198–2209, ACM, Toronto, ON, Canada, 2025.
Entropy-Based Anomaly Detection in Evolving Graph Streams Proceedings Article
In: VLDB 2025 PhD Workshop, pp. 1–4, VLDB Endowment, London, United Kingdom, 2025, (Supervised by Koki Kawabata, Yasuko Matsubara, and Yasushi Sakurai).
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks Proceedings Article
In: Advances in Neural Information Processing Systems 38 (NeurIPS 2025), NeurIPS Foundation, 2025, (NeurIPS 2025 Spotlight).
Learning Structured Sleep Transitions with Sequential EEG Foundation Models Proceedings Article
In: NeurIPS 2025 Workshop on Foundation Models for the Brain and Body (BrainBodyFM), 2025.
Discovery of Latent Dynamical Patterns in Biomedical Data Proceedings Article
In: IEEE International Conference on Data Mining, ICDM-W, DMBIH, pp. 802–811, IEEE, 2025.
2024
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning Proceedings Article
In: 2024 IEEE International Conference on Data Mining (ICDM 2024), pp. 741–746, IEEE, Abu Dhabi, UAE, 2024.
Fredformer: Frequency Debiased Transformer for Time Series Forecasting Proceedings Article
In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), pp. 2400–2410, ACM, Barcelona, Spain, 2024.
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series Proceedings Article
In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), pp. 2296–2306, ACM, Barcelona, Spain, 2024.
Dynamic Multi-Network Mining of Tensor Time Series Proceedings Article
In: Proceedings of the ACM Web Conference 2024 (WWW 2024), pp. 4117–4127, ACM, Singapore, 2024.
2023
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling Proceedings Article
In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), pp. 2895–2905, ACM, Birmingham, UK, 2023.
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation Proceedings Article
In: International Conference on Advanced Data Mining and Applications (ADMA 2023), pp. 103–117, Springer, Shenyang, China, 2023.
Condition monitoring of SiC power assembly by using time-series analysis of acoustic emission during power cycling tests Proceedings Article
In: 2023 24th International Conference on Electronic Packaging Technology (ICEPT), pp. 1–5, IEEE, Xinjiang, China, 2023.
The Chance of Winning Election Impacts on Social Media Strategy Proceedings Article
In: Proceedings of the International AAAI Conference on Web and Social Media, pp. 674–685, AAAI Press, Limassol, Cyprus, 2023.
Modeling Dynamic Interactions over Tensor Streams Proceedings Article
In: Proceedings of the ACM Web Conference 2023 (WWW 2023), pp. 1793–1803, ACM, Austin, Texas, 2023.
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams Proceedings Article
In: Proceedings of the ACM Web Conference 2023 (WWW 2023), pp. 1638–1649, ACM, Austin, Texas, 2023.
2022
Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization Proceedings Article
In: The 2022 IEEE International Conference on Big Data, BTSD workshop, pp. 3447–3454, IEEE, Hybrid Conference, Osaka, Japan, 2022.
C-Cast: A Real-Time Forecasting Model for a Controlled Sequence Proceedings Article
In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), pp. 5112–5115, ACM, Hybrid Conference, Hosted in Atlanta, Georgia, 2022.
Automatic Time-Series Clustering via Network Inference Proceedings Article
In: 48th International Conference on Very Large Data Bases (VLDB) PhD workshop, pp. 1–6, VLDB Endowment, Sydney, Australia, 2022.
Mining Reaction and Diffusion Dynamics in Social Activities Proceedings Article
In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), pp. 1521–1531, ACM, Hybrid Conference, Hosted in Atlanta, Georgia, 2022.
Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams Proceedings Article
In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), pp. 3157–3167, ACM, Washington DC, 2022.
2020
Non-Linear Mining of Social Activities in Tensor Streams Proceedings Article
In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), pp. 2093–2102, ACM, Virtual Event, California, 2020.
2019
Multi-Aspect Mining of Complex Sensor Sequences Proceedings Article
In: 2019 IEEE International Conference on Data Mining (ICDM 2019), pp. 299–308, IEEE, Beijing, China, 2019.
Automatic Sequential Pattern Mining in Data Streams Proceedings Article
In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), pp. 1733–1742, ACM, Beijing, China, 2019.
Dynamic Modeling and Forecasting of Time-evolving Data Streams Proceedings Article
In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), pp. 458–468, ACM, Anchorage, Alaska, 2019.
2018
Data Stream Analysis of Online Activities Proceedings Article
In: IEEE iThings/GreenCom/CPSCom/SmartData 2018, pp. 925–926, IEEE, Halifax, NS, Canada, 2018.
StreamScope: Automatic Pattern Discovery over Data Streams Proceedings Article
In: Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM@SIGMOD 2018), pp. 5:1–5:8, ACM, Houston, TX, 2018.
Automatic Mining of Large IoT Sensor Tensor Proceedings Article
In: IEEE International Conference on Data Mining, ICDM Workshops (ICDMW), pp. 1503–1504, IEEE, Singapore, 2018.
2017
Automatic and Effective Mining of Coevolving Online Activities Proceedings Article
In: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2017), pp. 233–246, Springer, Jeju, South Korea, 2017.
2016
Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences Proceedings Article
In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), pp. 1045–1054, ACM, San Francisco, CA, 2016.