Detailed Program

Session A: Generative Modeling for Complex Time Series
Paper ID Title Authors Type
BigD945 TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models Haksoo Lim, Jaehoon Lee, Sewon Park, Minjung Kim, and Noseong Park Regular
BigD708 qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices Pedro Chumpitaz, My Duong, Ying Mao, and Kaixun Hua Regular
BigD375 Diffusion Modeling is Volumetric Barrier Function Yang Cao, Yubin Chen, Xiaoyu Li, and Zhao Song Short
BigD946 Automatic Lifestate Identification for High-Dimensional Time Series Data Samuel Smith, Gavin Smith, and John Harvey Short
Session B: Scalable Optimization and Distributed Intelligent Systems
Paper ID Title Authors Type
BigD363 Supervision Densification is All You Need for Graph Neural Recommenders Ping-Ru Lee and Cheng-Te Li Regular
BigD703 Breaking Global Ground: A Load Shedding Approach for Distributed Complex Event Processing Sukanya Bhowmik, Olaf Markus Link, Henriette Röger, and Kurt Rothermel Regular
BigD436 QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification Pedro Chumpitaz, My Duong, Ying Mao, and Kaixun Hua Short
BigD863 A Quick and Exact Method for Distributed Quantile Computation Ivan Cao, Jaromir Saloni, and David Harrison Short
Session C: Efficient Systems and Intelligent Data Processing
Paper ID Title Authors Type
BigD335 FAW: Filetype and Application aware Write buffer management to reduce Write Amplification Factor Youngbin Jin, Han Jang, Dongjun Lee, and Ben Lee Regular
BigD372 Typhoon: A Slice-Scrambled In-Place LSD Sort Zelun Liu, Arif Arman, and Dmitri Loguinov Regular
BigD241 FedPSG-CAG: Generating participants samples based on correlated attributes generation and vertical federated imputation Xin Liu, Hangxuan He, Ying Qian, Feng Chen, Qingjie Wei, and Hongjun Zhu Short
BigD492 DEPUTY: A DPU-Based Network Offloading Architecture with Minimal CPU Involvement for Stable Network Performance Yuchan Lee, Sooho Jang, Sookwang Lee, Shinyoung Ahn, and Jaehwan Lee Short
Session D: Efficient Models and Scalable AI Systems
Paper ID Title Authors Type
BigD311 Edge-Optimized Voice Control with 0.26M Parameters: Distilling 86M Adaptive Window Audio Transformer for Real-World Variable-Length Inputs Pinze Ren, Zhen Chen, Yinjun Wu, Weiran Lin, Qilong Shi, Chao Li, and Jianxin Yang Regular
BigD601 SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, and Chul-Ho Lee Regular
BigD923 CLCO: Enhancing Chinese-Centric Low-Resource Machine Translation through Domain-Specific Corpus Optimization Songxi Xu and Lianxi Wang Short
BigD382 Enhancing Recommendation Systems with a Cross-Integrated Graph Attention Factorization Machine and Triple Training Mingbao Yang, Zhiwen Zhao, and Qing-Guo Wang Short
Session E: Graph Intelligence and Learning Consistency
Paper ID Title Authors Type
BigD687 COSE: Continuous Shapes Extraction from Dynamic Knowledge Graphs baya dhouib and raja appuswamy Regular
BigD892 Prioritizing Data Repair Tasks for Graph Data with Probabilities Kosei Naito, Hiroyoshi Ito, and Atsuyuki Morishima Regular
BigD396 Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals Doyun Choi, Cheonwoo Lee, and Jaemin Yoo Short
BigD538 A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning Daan Rosendal and Ana Oprescu Short
Session F: Efficient Indexing and Similarity Search
Paper ID Title Authors Type
BigD359 Updatable Balanced Index for Stable Streaming Similarity Search over Large-Scale Fresh Vectors Yuhui Lai, Shixun Huang, and Sheng Wang Regular
BigD623 Rapid Detection of the Smallest k-Minimum Bounding Rectangles for Moving Objects Jaeyoung Lee and Younghoon Kim Regular
BigD582 A Conceptual Model for Metadata Management with DCAT v3: Emphasizing Dataset Series, Versioning, and Manifests Minjun Kim and Heesun Won Short
BigD840 IVF-TPE: Accelerating Multi-Probe Approximate Nearest Neighbor Search with a Two-Phase Pruning Approach Xu Li, Ke Li, and Leong Hou U Short
Session G: LLM-Enhanced Scientific and Graph Intelligence
Paper ID Title Authors Type
BigD484 SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, and Yuanchun Zhou Regular
BigD577 WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo, Zhen Xiong, and Cyrus Shahabi Regular
BigD625 LLMCOMP: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression Guozhong LI, Muhannad Alhumaidi, Spiros Skiadopoulos, and Panos Kalnis Short
BigD489 LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, and Suhang Wang Short
Session H: Advanced Temporal and Spatio-Temporal Modeling
Paper ID Title Authors Type
BigD323 JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis Taekhyun Park, Yongjae Lee, Daesan Park, Dohee Kim, and Hyerim Bae Regular
BigD376 A Group Zero-Inflated Poisson Model for Automobile Near-Miss Event Risk Prediction Xinbo Zhang, Montserrat Guillen, Lishuai Li, Xin Li, and Frank Youhua Chen Regular
BigD632 HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies through Data-Driven Structural–Temporal Modeling Minjung Park, Gyuyeon Na, Soyoun Kim, Sunyoung Moon, HyeonJeong Cha, and Sang Mi Chai Short
BigD642 A Geographical Distance-Enhanced Spatial-Temporal Graph Neural Network For Bike Demand Prediction Yifei Luo, Junyu Chen, Xi Jiang, Yu Liu, and Lin Zhang Short
Session I: Advanced Probabilistic and Temporal Learning
Paper ID Title Authors Type
BigD673 Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching John Paisley, Wei Zhang, and Brian Barr Regular
BigD750 Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction Ștefan-Alexandru Jura, Mihai Udrescu, and Alexandru Topîrceanu Regular
BigD949 CAREER1: Reasoning Models for Career Path Prediction via Reinforcement Learning Shuzhang Cai, Ying Xie, and Shaojie Tang Short
BigD441 Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence Federico Giannini, Sandro D'Andrea, and Emanuele Della Valle Short
Session J: Intelligent Prediction and Reliable Decision Systems
Paper ID Title Authors Type
BigD807 Goal‑Conditioned Reinforcement Learning for Data‑Driven Maritime Navigation Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay, Anand Lo, Md Mahbub Alam, and Gabriel Spadon Regular
BigD828 Time-Aware Multimodal Climate Forecasting: Aligning Numerical and Textual Signals for Context-Aware Long-Term Predictions Eunjin Kim and Eunil Park Regular
BigD585 AURORA: An Adaptive and Unsupervised Framework for Robust Anomaly Detection via Historical Model Reuse Danlei Li, Mingyu Fan, Nirmal Nair, Akshat Bisht, and Kevin I-Kai Wang Regular
BigD567 CAR-RAG: Category-Aware Hybrid Retrieval-Augmented Generation for Hallucination Mitigation Tatiana Petrova, Dmitrii Koriakov, and Radu State Short
BigD612 DC-CP: Data Collaboration Conformal Prediction from Model Training to Conformal Prediction in Single-Round Communication while Preserving Privacy Tomoru Nakayama, Yuji Kawamata, Akira Imakura, and Yukihiko Okada Short
Session K: Explainable and Trustworthy ML
Paper ID Title Authors Type
BigD773 Gradient Free Multi-objective Counterfactual Explainability for Multivariate Time Series Classification Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, and Niki van Stein Regular
BigD637 Interpretable Multivariate Anomaly Detector Selection for Automatic Marine Data Quality Control Ngoc-Thanh Nguyen, Astrid Marie Skålvik, Emmanouil Sylligardos, Rogardt Heldal, Patrizio Pelliccione, Paul Boniol, Themis Palpanas, and Sverre Jakob Alvsvåg Short
BigD725 Probing the Black Box: A Behavioral Framework for the Deep Verification of Random Forests Zheyan Zhang and Diego Klabjan Short
BigD747 Stochastic Variational Inference with Tuneable Stochastic Annealing John Paisley, Ghazal Fazelnia, and Brian Barr Short
BigD815 Leveraging Pre-Trained Language Models for Realistic Adversarial Attacks Nuzaer Omar, Ademola Adesokan, and Sanjay Madria Short
Session L: AI Robustness and Neural Intelligence
Paper ID Title Authors Type
BigD362 Probing LLM Hallucination from Within: Perturbation-Driven Method via Internal Knowledge Seongmin Lee, Hsiang Hsu, Chun-Fu (Richard) Chen, and Duen Horng (Polo) Chau Regular
BigD420 DNRSelect: Active Best View Selection for Deferred Neural Rendering Dongli Wu, Haochen Li, and Xiaobao Wei Regular
BigD524 IT-GNN: Interactive Two-Stage GNN for Multi-Atlas Brain Network Analysis Zhu Chen, Haonan Rao, Lijun Zhao, Mingliang Wang, Weiping Ding, and Jiashuang Huang Regular
BigD292 Cybersecurity Text Classification: Challenging the Perceived Superiority of LLMs over Conventional Machine Learning Dzenan Hamzic, Markus Wurzenberger, Florian Skopik, Max Landauer, Lukas Linauer, and Andreas Rauber Short
BigD523 Multi-Timescale Spiking Neural Network with Dual-Hemispheric Fusion and Coupling for Brain Disorder Diagnosis Yingying Zhou, Shaolong Wei, Zhanmo Mi, Mingliang Wang, Weiping Ding, and Jiashuang Huang Short
Session M: Sequence Modeling and Robust Learning
Paper ID Title Authors Type
BigD695 DAADiff: A Dual-Axis Adaptive Framework for Real-time Video Inpainting Zheyan Zhang, Diego Klabjan, and Renee Manworren Regular
BigD767 Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, and Philip S Yu Regular
BigD827 From Text to Insight: Towards Robust RAG Pipelines for Transcript-Based Clinical Screening Giuliano Lorenzoni, Paulo Alencar, and Donald Cowan Short
BigD619 RiSA: Risk-aware Situational Assistant: From Risk Forecasting to Actionable Driver Advice Kaito Asai, Bin Zhou, Jianyu Huang, Yutaka Arakawa, and Tsunenori Mine Short
Session N: Advanced Representation and Sequential Learning
Paper ID Title Authors Type
BigD939 Sig-Patchformer: A Path Signature Based Transformer for Efficient Time Series Forecasting Rohan Akkineni and Chandrasekhar Uddagiri Regular
BigD381 Continual Causal Effect Estimation for Dataset Shifting Streams in Marketing Optimization Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, and Jiecheng Guo Regular
BigD503 PersonalizedHD: Hyperdimensional Online Learning with Scalable Personalization and Memory-Efficient Replay Shinhyoung Jang, Junyoung Lee, Seohyun Kim, Hyunsei Lee, Ilhong Suh, and Yeseong Kim Short
BigD604 Balancing Decorrelation and Label Predictability for Deep Graph Representation Learning Naeun Park and Heasoo Hwang Short
Session O: Efficient and Interpretable Spatiotemporal Learning
Paper ID Title Authors Type
BigD663 QNQCDE: Efficient Dialogue Embeddings based on Contrastive Learning using Question and Non-Question Pairs Jihyeon Oh, Subeen Choe, and Jihoon Yang Short
BigD622 MAD: Multimodal Framework for Adaptive Time-Series Anomaly Detection Jeongeum Seok and Wook-Shin Han Short
BigD964 Efficient Longitudinal Feature Selection via Binarized Transformation: Theory and Case Studies Jason Orender, Mohammed Zubair, and Jiangwen Sun Short
BigD909 Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling Zhiguo Zhang, Xiaoliang Ma, and Daniel Schlesinger Short
Session P: Privacy-Aware and Trustworthy Generative AI
Paper ID Title Authors Type
BigD689 FedSDE: Self-Distillation with Diffusion Enhanced for One-shot Federated Learning Lingyu Qiu, Daniela Annunziata, Fabio Giampaolo, and Francesco Piccialli Regular
BigD541 Cognitive Error Correction Prompting for Effective Social Bias Mitigation in Large Language Models Jieun Lee, Hyunseop Shin, and Kyung-shik Shin Regular
BigD282 Mitigating Privacy Issues in RAG through Causal Disentanglement Junyi Wang, Songwen Pei, Kai Cong, and Joel Rodrigues Short
BigD400 DP-CR: Differentially Private Centroid Routing for Federated RAG in Data Spaces Katsutoshi Amano, Hirotsugu Seike, Kazuma Hatano, and Noboru Koshizuka Short
Session Q: Advanced Graph Systems and Representation Learning
Paper ID Title Authors Type
BigD918 EdgeLA: A Label-based Cloud–Edge Collaborative Architecture for Shortest-Path Queries Xiubo Zhang, Xu Li, Ye Li, Zijie Zhou, Yan Li, and Leong Hou U Regular
BigD589 Multi-Feature Fusion Strategies for Enhancing Knowledge Graph Embedding Chenchen Liu, Fei Pu, Bailin Yang, and Lirong Cheng Short
BigD762 The Multi Agent Meeting and Graph Center Problems on Massive Graphs Stefan Funke, Claudius Proissl, and Sabine Storandt Short
BigD766 Topology-Induced Graph Transformer for Graph Representation Learning Peiyu Liang, Yuzhou Chen, and Xubin He Short
Session R: Efficient and Reliable Foundation Models
Paper ID Title Authors Type
BigD734 Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, and Soumik Sarkar Regular
BigD761 Automated structural testing of LLM-based agents: methods, framework and case studies Jens Kohl, Otto Kruse, Youssef Mostafa, Andre Luckow, Karsten Schroer, Thomas Riedl, Ryan French, David Katz, Manuel Luitz, Tanrajbir Takher, Ken Friedl, and Celine Laurent-Winter Regular
BigD411 Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems Arun Vignesh Malarkkan, Haoyue Bai, Dongjie Wang, and Yanjie Fu Regular
BigD493 CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward Zhiqiang Wang, Pengbin Feng, Yanbin Lin, Shuzhang Cai, Zongao Bian, Jinghua Yan, and Xingquan Zhu Short
Session S: AI for Security and Cognitive Intelligence
Paper ID Title Authors Type
BigD486 SOP-Guided Co-Enhanced CLIP for Action Recognition in Logistics Warehouse Packaging Wenting Qi, Kexin Zhang, Yan Sun, Haichao Zhang, Xiaoyin Xu, and Hengle Qin Regular
BigD534 Can EEG Foundation Models Help with Epileptic Seizure Prediction? Xudong Guo, Lin Liu, Sha Lu, Jiuyong Li, Thuc Duy Le, and Jixue Liu Regular
BigD554 TAA-EPLMR: Threat Actor Attribution via Evidence Path-Enhanced Large Language Model Reasoning Nan Xiao, Bo Lang, Yikai Chen, Shuxin Zhao, and Yuhao Yan Regular
BigD605 CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments Nitish Jaipuria, Lorenzo Gatto, Zijun Kan, Shankey Poddar, Bill Cheung, Diksha Bansal, Ramanan Balakrishnan, Aviral Suri, and Jose Estevez Short
Session T: AI for Healthcare and Human Sensing
Paper ID Title Authors Type
BigD626 Heterogeneity-Aware Private Personalized Federated Learning for Medical Imaging via Contrastive Distillation Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, and Miao Pan Regular
BigD651 A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities Michele Zanitti, Vanja Miskovic, Francesco Trovò, Alessandra Laura Giulia Pedrocchi, Ming Shen, Yan Kyaw Tun, Arsela Prelaj, and Sokol Kosta Regular
BigD868 Streaming Drilling Report Generation with Live Segmentation and Multimodal Text Generation Soumyadipta Sengupta, Sebastiaan Buiting, Amine El Khair, Imane Khaouja, Yahia Shaaban, and Abdallah Benzine Short
BigD424 Masked Graph-based Cognitive Diagnosis for Intelligent Tutoring Systems Kehao Li, Zhiyu Chen, and Jing Xiao Short
BigD548 People‑flow Estimation from Footstep Sounds: A Feasibility Study via Simulation Using Large‑scale Pedestrian Trajectories Yu Kitano and Nobutaka Ono Short
Session U: Reliable Modeling and Decision Intelligence
Paper ID Title Authors Type
BigD899 Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, and Xiangliang Zhang Regular
BigD781 Adaptive-Sensorless Monitoring of Shipping Containers Lingqing Shen, Chi Heem Wong, Misaki Mito, and Arnab Chakrabarti Short
BigD829 Robust Prescriptive Pricing under Competitor Price Uncertainty Shoki Yamao, Yusuke Mibuchi, Kai Yoshida, Jingqi Wu, Yukina Nakagawa, Yoshimi Nakaya, Ken Kobayashi, and Kazuhide Nakata Short
BigD621 A Reliable Decision Support Framework for SME Default Prediction using Uncertainty-Aware Bayesian GEV Regression Kaito Terada, Keiji Abe, Toshihiko Takeda, Yuji Kawamata, Ryoki Motai, and Yukihiko Okada Short
Session V: Data Intelligence for People and Cities
Paper ID Title Authors Type
BigD756 HyProv: Hybrid Provenance Management for Scientific Workflows Vasilis Bountris, Lauritz Thamsen, and Ulf Leser Regular
BigD267 JobHop: A Large-Scale Dataset of Career Trajectories Iman Johary, Raphaël Romero, Alexandru Mara, and Tijl De Bie Short
BigD603 Tracing Footsteps of Similar Cities: Modeling Urban Economic Vitality with Dynamic Inter-City Graph Embeddings Xiaofeng Li, Xiangyi Xiao, Xiaocong Du, Ying Zhang, and Haipeng Zhang Short
BigD912 Pedestrian Environment Assessment Considering Street Impressions During Normal and Evacuation Times Takuya Oki and Chisato Otsuka Short
Session W: Intelligent Modeling and Fairness
Paper ID Title Authors Type
BigD733 Constructing Political Coordinates: Aggregating Over the Opposition for Diverse News Recommendation Eamon Earl, Chen Ding, Richard Valenzano, and Drai Paulen-Patterson Regular
BigD856 A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective Siamak Ghodsi, Amjad Seyedi, Tai Le Quy, Fariba Karimi, and Eirini Ntoutsi Regular
BigD619 RiSA: Risk-aware Situational Assistant: From Risk Forecasting to Actionable Driver Advice Kaito Asai, Bin Zhou, Jianyu Huang, Yutaka Arakawa, and Tsunenori Mine Short
BigD694 Scalable Cross-Location Calibration of Low-Cost Air Quality Sensors Using Heterogeneous Data Martina Casari, Laura Po, and Federica Rollo Short

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