Organizer
| ID | Paper title & Authors |
|---|---|
| BigD265 | Central-Guided Convolutional Dual Attention for Document-Level Event Argument Extraction Chengdong Lin, Jianghao Lin, Dong Zhou, Yongmei Zhou, and Aimin Yang |
| BigD294 | Modeling Frequency Correlation to Achieve Better Long-term Series Forecasting Yuejing Zhai, Yiping Li, and Wuman Luo |
| BigD304 | Hard-token Spatiotemporal Pre-training Mingxu Jiang, Jiaxing Liu, Yiyan Xu, Haoyang Hu, and Liang Xie |
| 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 |
| BigD323 | JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis Taekhyun Park, Yongjae Lee, Daesan Park, Dohee Kim, and Hyerim Bae |
| BigD330 | SDP-DETR: End-to-End Detection of Aircraft Skin Defects via Dynamic Multi-Scale Aware Mechanism Lifeng Wei, Chufan Pang, and Xinzheng Xu |
| BigD333 | ATS and BEMAF-UNet for Accurate and Robust Renal Histopathology Image Segmentation Linfeng Du, Xiang Li, Yi Zhang, and Dehan Li |
| BigD335 | FAW: Filetype and Application aware Write buffer management to reduce Write Amplification Factor Youngbin Jin, Han Jang, Dongjun Lee, and Ben Lee |
| BigD336 | BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection He Cheng, Depeng Xu, and Shuhan Yuan |
| BigD349 | Efficient Adversarial Malware Defense via Trust-Based Raw Override and Confidence-Adaptive Bit-Depth Reduction Ayush Chaudhary and Sisir Doppalpudi |
| BigD353 | Phase-Aware Spectrogram Fusion with Dual-Stream Residual Networks for Underwater Acoustic Recognition Xingfeng Li and Feifei Yu |
| BigD355 | Valence-Arousal Emotion Recognition Using A Deep Three-Layer Model with Aural Perceptual Representations Xingfeng Li and Junjie Li |
| BigD359 | Updatable Balanced Index for Stable Streaming Similarity Search over Large-Scale Fresh Vectors Yuhui Lai, Shixun Huang, and Sheng Wang |
| 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 |
| BigD363 | Supervision Densification is All You Need for Graph Neural Recommenders Ping-Ru Lee and Cheng-Te Li |
| BigD369 | SR-MPL: Single-round Fair Multiparty Lottery for Consensus Jingzhe Wang and Balaji Palanisamy |
| BigD370 | Effective Neural Author-Topic Modeling by Leveraging Pre-Trained Language Models Yingda Shen, Da Yan, and Yang Zhou |
| BigD372 | Typhoon: A Slice-Scrambled In-Place LSD Sort Zelun Liu, Arif Arman, and Dmitri Loguinov |
| BigD374 | ReactionTeam: Teaming Experts for Divergent Thinking Beyond Typical Reaction Patterns Taicheng Guo, Changsheng Ma, Kehan Guo, Xiuying Chen, Bozhao Nan, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, and Xiangliang Zhang |
| 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 |
| BigD378 | Transformer for Heterogeneous Graphs Shiyin Zhang, Zheng Fang, and Guojie Song |
| 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 |
| BigD383 | Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps Vinaik Chhetri, Krishna Upadhyay, A.B. Siddique, and Umar Farooq |
| BigD392 | A Theoretical Framework Bridging Attention and SVM Optimization Dynamics and Sparsity Zhihang Li, Zhao Song, and Jiale Zhao |
| BigD398 | Hypergraph Structure Recommendation Model with Counterfactual Learning Xinglin Liu, Yutong Zhang, Youhan Qi, Xin Wang, and Ying Wang |
| BigD403 | Improving Resource Overcommitment with Granular and Pattern-Based Machine Learning Predictions Ali Zafar Sadiq, Haiying Shen, Tanmoy Sen, Nan Deng, and Sunan Xiang |
| BigD408 | Accelerating k-means++ Algorithm Jiehao Liang, Somdeb Sarkhel, Zhao Song, Chenbo Yin, Zhen Zhuang, and Danyang Zhuo |
| 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 |
| BigD420 | DNRSelect: Active Best View Selection for Deferred Neural Rendering Dongli Wu, Haochen Li, and Xiaobao Wei |
| BigD430 | Why Softmax Attention Outperforms Linear Attention Yichuan Deng, Zhao Song, Kaijun Yuan, and Tianyi Zhou |
| BigD442 | Integrating Hypergraph and Fourier Transform for Sequential Recommendation Shiyu Wei, Linlin Zhang, Taozhi Wang, Jiaqi Hou, Madina Mansurova, Baurzhan Belgibayev, and Kai Zhao |
| BigD448 | Host Bridge Level Cache in Memory-Centric Fabric and its Impacts on Disaggregated Memory System Young Woo Kim, HyukJe Kwon, Song-woo Sok, Jinmee Kim, Hagyoung Kim, Seung-Jun Cha, Kwangwon Koh, and KangHo Kim |
| BigD452 | On Efficient Computation of Generalized Distance Oracles Zhao Song, Jason Zhang, and Jiahao Zhang |
| BigD454 | Uncertainty Modeling and Enhanced Gather-And-Distribution Mechanism for Multi-Person Pose Estimation in Dense Scenes Yuan Gao, Xiaobo Zhang, Yutao Liu, Andrew Lim, and Yan Yang |
| BigD464 | Cross-Sectional Characteristic-driven Deep Reinforcement Learning Huanghao Chen, Jerome YEN, and Yain-Whar Si |
| BigD467 | HTRGN: Hybrid Temporal-aware and Relation-Enhanced Graph Neural Network for Extrapolation Reasoning in Temporal Knowledge Graphs Zhenxi Lu, Tingxuan Chen, Jun Long, Zidong Wang, and Liu Yang |
| BigD473 | Selective Multi-Hop Type-Aware Enhancement for Context-Limited Knowledge Graph Entity Typing Yuhe Bai, Modou Gueye, and Hubert Naacke |
| BigD482 | Quantifying Privacy Leakage in Multi-agent LLMs: A Unified Theoretical and Empirical Analysis Milon Biswas, Wei Yu, Qianlong Wang, and Weixian Liao |
| 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 |
| 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 |
| BigD500 | Unsupervised Timeline Summarization via Time-Aware Graph Structural Entropy Minimization Fan Peng, Yantuan Xian, Hongbin Wang, Yuxin Huang, Ran Song, and Zhengtao Yu |
| BigD508 | FLEXI: Phase-Aware Function Resizing for Heterogeneous Serverless GPU workloads Shruti Mohanty, Vivek M. Bhasi, Jashwant R. Gunasekaran, Prashanth Thinakaran, Mahmut T. Kandemir, and Chita R. Das |
| BigD511 | Skin Lesion Segmentation Model with Large Receptive Fields and Multi-Scale Features Bin Xiao, Jiahang Xin, Xingpeng Zhang, Yufei Cheng, Junchao Wen, and Fuyuan Wei |
| BigD514 | ParaCUP-NBR: Next-basket Recommendation via Parallel Modeling of Compatibility and User Preference with Multi-attribute Items Jianfu Li and Yuying Yang |
| BigD515 | Autoregressive Low-Rank Tensor Completion with Schatten Capped p-Norm for Traffic Data Imputation Yao Li, Qianyu Shu, and Jianjun Wang |
| BigD516 | Structured Memory and Role-Aware Decision Making for Supply Chain Transportation Hongyu Cao, Haoyue Bai, and Yanjie Fu |
| 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 |
| BigD527 | Multi-view Partial label Metric Learning Jianjun He, Jinghua Li, Jianhong Sun, Ruirui Zheng, Yu Zhou, and Peng Xu |
| BigD528 | Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes Dylan Soemitro and Jeova Farias Sales Rocha Neto |
| BigD534 | Can EEG Foundation Models Help with Epileptic Seizure Prediction? Xudong Guo, Lin Liu, Sha Lu, Jiuyong Li, Thuc Le, and Jixue Liu |
| BigD537 | PHCL: Prescription recommendation via Hypergraph-enhanced Contrastive Learning Meixi Lu, Long Tan, and Yeran Wang |
| BigD541 | Cognitive Error Correction Prompting for Effective Social Bias Mitigation in Large Language Models Jieun Lee, Hyunseop Shin, and Kyungshik Shin |
| BigD549 | 3D Human Pose Estimation with Spatio-Temporal Topological Decoupling Xiaolong Qin and Xiaowei Zhang |
| 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 |
| BigD555 | Heterogeneous Graph Neural Networks with Ordinal Regression for Legal Case Retrieval Jianrong Zhang, Xiaoyu Kang, Zhixin Shi, and Min Li |
| BigD557 | Efficient Time-Dependent Shortest Path Finding on Cargo Network Elton Chun-Chai Li, Ziyi Liu, Ruiyuan Zhang, Sean Shing-Fung Lau, Yehong Xu, and Xiaofang Zhou |
| BigD559 | Option Pricing based on the DeepOption Framework with Arbitrage-Free Constraints and an Enhanced Transformer Model zhaoju wang |
| BigD568 | ReLAD: Retrieval-Augmented Latent Diffusion for Complex Aerial Image Generation Douglas Townsell, Lingwei Chen, Chen Pan, Mimi Xie, and Wen Zhang |
| BigD573 | GPU-Accelerated Maximal Quasi-Clique Mining Michael Greenbaum, Ke Fan, Wajid Manzoor, and Guimu Guo |
| 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 |
| BigD583 | VirtualGCN ? Enhancing Graph Collaborative Filtering with Virtual Interactions Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, and Neil Shah |
| 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 |
| BigD593 | Degree-Based Scheduling and Memory Management for Large-Scale Exact Online GNN Inference Alireza Namazi, Haiying Shen, Tanmoy Sen, and Minjia Zhang |
| BigD595 | Dual-space Relational Contrastive-aware Neighborhood Matching Method for Entity Alignment Qiwen Tan, Tiezheng Nie, Derong Shen, and Yue Kou |
| 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 |
| BigD623 | Rapid Detection of the Smallest k-Minimum Bounding Rectangles for Moving Objects Jaeyoung Lee and Younghoon Kim |
| BigD626 | Heterogeneity-Aware Private Personalized Federated Learning for Medical Imaging via Contrastive Distillation Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, and Miao Pan |
| BigD628 | Multi-identifier Leveraging Text-Visual Construction for Multimodal Generative Recommendation zizhong zhu, Xiaowang Zhang, and Zhiyong Feng |
| BigD645 | Causal Disentangled Representation Learning for Unbiased Treatment Effect Estimation Hui Meng, Xuyu Peng, Keping Yang, and Bo Zheng |
| BigD651 | A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities Michele Zanitti, Vanja Miskovic, Francesco Trov?, Alessandra Laura Giulia Pedrocchi, Ming Shen, Yan Kyaw Tun, Arsela Prelaj, and Sokol Kosta |
| BigD666 | P2S-XR: Predictive and Scalable Scheduling for Concurrent Multi-User XR Services Yaru Zhao, Shoulu Hou, Binyang Li, and Yakun Huang |
| BigD673 | Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching John Paisley, Wei Zhang, and Brian Barr |
| BigD680 | Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability Junping Liu, Xiaolong Li, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Wenbin Zhang, and Yi Guo |
| BigD685 | Multi-granular Negative Sampling Framework for Multi-modal Knowledge Graph Completion Yunhao Xu, Ruishen Liu, and Xiangfeng Luo |
| BigD687 | COSE: Continuous Shapes Extraction from Dynamic Knowledge Graphs baya dhouib and raja appuswamy |
| BigD689 | FedSDE: Self-Distillation with Diffusion Enhanced for One-shot Federated Learning Lingyu Qiu, Daniela Annunziata, Fabio Giampaolo, and Francesco Piccialli |
| BigD695 | DAADiff: A Dual-Axis Adaptive Framework for Real-time Video Inpainting Zheyan Zhang, Diego Klabjan, and Renee Manworren |
| BigD699 | USFF: A Unified Sales Forecasting Framework for Vending Machines li qianyang, zhang xingjun, and wang shaoxun |
| BigD703 | Breaking Global Ground: A Load Shedding Approach for Distributed Complex Event Processing Sukanya Bhowmik, Olaf Markus Link, Henriette R?ger, and Kurt Rothermel |
| BigD707 | FedAdaClip: Adaptive Clipping for Private Federated Learning Yifan Sun, Rui Zhang, and Yang Tao |
| BigD708 | qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices Pedro Chumpitaz, My Duong, Ying Mao, and Kaixun Hua |
| BigD717 | Implementing Efficient Linear Bandits via Sketches and Random Projections Lilia Izri, Beno?t Groz, and Silviu Maniu |
| BigD733 | Constructing Political Coordinates: Aggregating Over the Opposition for Diverse News Recommendation Eamon Earl, Chen Ding, Richard Valenzano, and Drai Paulen-Patterson |
| BigD734 | Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, and Soumik Sarkar |
| BigD735 | Fast Active-Set Thresholding Method for Nonnegative Least Squares Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee Choi, Richard Vuduc, and Haesun Park |
| BigD744 | Implicit Hypergraph Neural Network Akash Choudhuri, Yongjian Zhong, and Bijaya Adhikari |
| BigD749 | Improving Causal Feasibility in Counterfactual Explanations for Multivariate Time Series Classification Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, and Shah Muhammad Hamdi |
| BigD750 | Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction ?tefan-Alexandru Jura, Mihai Udrescu, and Alexandru Top?rceanu |
| BigD755 | Uncovering Treatment Response Patterns with Topological Clustering of Brain Networks Jiaying Yi, Jian Yin, Rahul Ghosal, Julius Fridriksson, Rutvik Desai, and Yuan Wang |
| BigD756 | HyProv: Hybrid Provenance Management for Scientific Workflows Vasilis Bountris, Lauritz Thamsen, and Ulf Leser |
| BigD761 | Automated structural testing of LLM-based agents: methods, frameworks and application to 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 |
| BigD765 | Adaptive Degree-based Conformal Prediction for Individual Treatment Effect Estimation on Networked Data Xiaofan Zhou, Jing Ma, and Lu Cheng |
| BigD767 | Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, and Philip S Yu |
| BigD768 | IResNets: Iterative Residual Neural Networks Shiquan He and Randy Paffenroth |
| BigD769 | IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, and Aidong Zhang |
| BigD770 | DEEPSALT: Bridging Laboratory and Satellite Spectra through Domain Adaptation and Knowledge Distillation for Large-Scale Soil Salinity Estimation Rupasree Dey, Abdul Matin, Everett Lewark, Tanjim Bin Faruk, Andrei Bachinin, Sam Leuthold, M. Francesca Cotrufo, Shrideep Pallickara, and Sangmi Lee Pallickara |
| BigD771 | Federated Knowledge Expansion for Collections of Heterogeneous Devices Xiaopeng Jiang and Cristian Borcea |
| BigD773 | Gradient Free Multi-objective Counterfactual Explainability for Multivariate Time Series Classification Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas B?ck, and Niki van Stein |
| BigD774 | FACT: Gated Fusion-Augmented Causal Mask Transformer for Pseudotime Analysis Zhen Lu, Chengjie Zheng, Iris Shen, John Quackenbush, Viola Fanfani, Wei Ding, and Ping Chen |
| BigD785 | ESPNet: Edge-Aware Graph Representation Learning over Analyst?Firm Bipartite Networks for Earnings Surprise Prediction Siqi Jiang, Xinyuan Tao, Ajim Uddin, Zhi Wei, and Dantong Yu |
| BigD789 | Interactive Hierarchical Edge Bundling of Large-Scale Graph through Prefetching Xinyan Xie, Jianxin Sun, Claire Shen, and Hongfeng Yu |
| BigD791 | PanicleVis: A Multidimensional and Multilevel Graph-Based Visualization System for Spatiotemporal Panicle Phenotyping Data Xinyan Xie, Jianxin Sun, Warren Huang, Harkamal Walia, and Hongfeng Yu |
| BigD799 | Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction Tianye Fang, Xuanshu Luo, and Martin Werner |
| BigD801 | MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation Zhou Yang, Shunyan Luo, Jiazhen Zhu, and Fang Jin |
| BigD807 | Goal?Conditioned Reinforcement Learning for Data?Driven Maritime Navigation Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay, Anand Lo, Md Mahbub Alam, and Gabriel Spadon |
| BigD810 | SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space Zitong Huang, Mansooreh Montazerin, and Ajitesh Srivastava |
| BigD811 | Fair In-Context Learning via Latent Concept Variables Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, and Xintao Wu |
| BigD814 | Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, and Xiaowei Jia |
| BigD818 | Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency Md Abdullah Al Forhad and Weishi Shi |
| BigD819 | LLM based Knowledge Graph Approach to Automating Medical Device Regulatory Compliance Subhankar Chattoraj and Karuna Pande Joshi |
| BigD821 | ShapeToVec: Encoding Polygonal Shapes with Extreme Area Variability for Effective Approximate Jaccard Similarity Queries Buddhi Ashan Mallika Kankanamalage, Satish Puri, Anju Soman, Matthew Schwennesen, and Sushil K. Prasad |
| BigD825 | Black-box Transferable Adversarial Attack via Frequency-domain Data Augmentation and Model Weight Perturbation Zhirui Wang, Yaoning Wang, Yao Ge, Hua Dai, Qian Zhou, and Yun Li |
| BigD828 | Time-Aware Multimodal Climate Forecasting: Aligning Numerical and Textual Signals for Context-Aware Long-Term Predictions Eunjin Kim and Eunil Park |
| BigD830 | Reinforcement Learning?Driven Stochastic Control for Scalable Incentive Optimization in Big Data Platforms David Li |
| BigD831 | Sobol?s Total Indices for Accurate and Scalable Feature Exclusion in High-Dimensional Data Zonghan Zhang and Zhiqian Chen |
| BigD839 | DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process Mohammad Abu-Shaira, Ajita Rattani, and Weishi Shi |
| BigD850 | AdvQA: Query-Aware Adversarial Training for Knowledge Graph Reasoning Ziyan Liu and Lihui Liu |
| 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 |
| BigD865 | Staleness-based Subgraph Sampling for Training GNNs on Large-Scale Graphs Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, and Shuiwang Ji |
| BigD875 | User-Aware Denoising Sequential Model for Multi-behavior Recommendation Youwanhong Shan and Zhiyun Chen |
| BigD879 | A Margin Enhanced Data Augmentation Method for Imbalanced Credit Default Prediction Hong Zhang, Yuansheng Chen, Ximing Liu, Jinran Wu, Yichao Liao, and Yayong Li |
| BigD880 | Vision Paper: Teacher-Guided One-Shot Pruning via Context-Aware Knowledge Distillation Md. Samiul Alim, Sharjil Khan, Amrijit Biswas, Fuad Rahman, Shafin Rahman, and Nabeel Mohammed |
| BigD884 | Every Lie Has a Grain of Truth: Disentangling Deception from Authentic Content for Fake News Detection Junping Liu, Zhenhao Hu, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, and Yi Guo |
| BigD889 | MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems Shreeranjani SrirangamSridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason Cho, and Sushant Kumar |
| BigD892 | Prioritizing Data Repair Tasks for Graph Data with Probabilities Kosei Naito, Hiroyoshi Ito, and Atsuyuki Morishima |
| BigD893 | The Dark?Affective Bench: A Benchmark for Evaluating Maladaptive Personality Traits and Affective Tendencies in Large Language Models Haoran Yang, Wei Ge, Tongxuan Zhang, Guiyun Zhang, and Haofang Zhang |
| BigD899 | Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, and Xiangliang Zhang |
| BigD901 | Efficient Neuro-Symbolic Predictive Modeling for Near-Miss Accident Detection in High-Velocity Video Streams Thi-Mai-Phuong Nguyen, Minh-Son Dao, Swe Nwe Nwe Htun, and Koji Zettsu |
| BigD911 | CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, and Wenjian Wang |
| BigD915 | SAMAG: Structure-Aware Multi-Agent Graph Generation with Large Language Models Jingcheng Cen, Jiarui Ji, Zhen Wang, Zhewei Wei, Yaliang Li, and Bolin Ding |
| 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 |
| BigD922 | LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision Debargha Ganguly, Sumit Kumar, Ishwar Balappanawar, Weicong Chen, Shashank Kambhatla, Srinivasan Iyengar, Shivkumar Kalyanaraman, Ponnurangam Kumaraguru, and Vipin Chaudhary |
| BigD926 | ClipMPCAD: Few-Shot Anomaly Detection with LLM-Guided Prompts and Multi-Attention Fusion Yue Han, Shengchang Wang, Yongquan Xue, Zhaoru Guo, Kaiyuan Jin, Jiao Li, Lei Wang, Yongke Li, and Panpan Zheng |
| BigD933 | Predictive Modeling and Explainable AI for Veterinary Safety Profiles, Residue Assessment, and Health Outcomes Using Real-World Data and Physicochemical Properties Hossein Sholehrasa, Xuan Xu, Doina Caragea, Jim Riviere, and Majid Jaberi-Douraki |
| BigD937 | Hierarchical Fusion Network for Day-ahead Wind Power Forecasting Xiaodong Ouyang, Cheng Chen, Guozhen Zhang, and Ke Tang |
| BigD939 | Sig-Patchformer: A Path Signature Based Transformer for Efficient Time Series Forecasting Rohan Akkineni and Chandrasekhar Uddagiri |
| BigD945 | TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models Haksoo Lim, Jaehoon Lee, Sewon Park, Minjung Kim, and Noseong Park |
| BigD948 | A Reward-Model-Guided Parameter Tuning Framework for Optical Cable Manufacturing Optimization Yong Zhang, Jianzeng Song, Senjie Xia, and Jianfei Yin |
| BigD950 | LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models Jawad Ibn Ahad, Muhammad Rafsan Kabir, Robin Krambroeckers, Sifat Momen, Nabeel Mohammed, and Shafin Rahman |
| BigD957 | Physics-Guided Feature Engineering via PDE-Derived Dynamics for Interpretable and Robust Epidemic Forecasting David Li |
| ID | Paper title & Authors |
|---|---|
| BigD202 | EffiTabu: A Static Job Scheduling Optimization Algorithm Based on Improved Tabu Search Ruchao Cai and Jing Bian |
| 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 |
| BigD267 | JobHop: A Large-Scale Dataset of Career Trajectories Iman Johary, Rapha?l Romero, Alexandru Mara, and Tijl De Bie |
| BigD274 | LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty Jiahui Cen, Jianghao Lin, Dong Zhou, Weixuan Zhong, Jin Chen, Aimin Yang, and Yongmei Zhou |
| BigD282 | Mitigating Privacy Issues in RAG through Causal Disentanglement Junyi Wang, Songwen Pei, Kai Cong, and Joel Rodrigues |
| BigD284 | Multimodal Fusion Case-Based Reasoning for Open-World Knowledge Graph Completion tengfan weng, weiqing huang, zhixin shi, and Xiaoyu Kang |
| BigD286 | Hierarchical Model Trees for Semantic Summarization and Adaptive Inference Damien Foucard, Moneer Martini, and Lukas Bender |
| 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 |
| BigD298 | A Complete Evaluation Method for Factual Knowledge Base on AMR Peng Hu |
| BigD302 | UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, and Yan Zheng |
| BigD342 | SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning Khoa Nguyen, Khang Tran, Hai Phan, Cristian Borcea, Rouming Jin, and Issa Khalil |
| BigD344 | SAVe-Vis: An End-to-End Multimodal Framework for Schema-Aware and Self-Validating data Visualization Generation Yi Li, Jiana Meng, Di Zhao, and Bolin Wang |
| BigD346 | Robust Legal Element Verification with Iterative LLMs for Enhanced Data Quality Shijia Jiang, Hongan Chen, Haochen Jia, Ronghui Han, and Hao Wang |
| BigD371 | Quantile Forecasting of Solar Radiation in the Amazon Using Deep Learning and Signal Decomposition Andre Marques and Pedro Correa |
| BigD373 | RLTR-LLM: A Temporal Knowledge Graph Few-Shot Out-of-Graph Link Prediction Method Integrating RL-Based Temporal Retrieval and LLM Generation Mengyu Han, Jinpeng Li, Hang Yu, and Xiangfeng Luo |
| BigD375 | Diffusion Modeling is Volumetric Barrier Function Yang Cao, Yubin Chen, Xiaoyu Li, and Zhao Song |
| BigD382 | Enhancing Recommendation Systems with a Cross-Integrated Graph Attention Factorization Machine and Triple Training Mingbao Yang, Qing-Guo Wang, and Fengbin Wu |
| BigD390 | Dally: A network-placement sensitive cluster scheduler for deep learning Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Mahmut T. Kandemir, George Kesidis, and Chita R. Das |
| BigD391 | Towards Faster External-Memory Graph Computing on Small Neighborhoods Di Xiao, Yi Cui, and Dmitri Loguinov |
| BigD393 | OR-YOLO: Occlusion-Robust Urban Vehicle Recognition Network Shuqiang Guo and Wenzhi Ping |
| BigD396 | Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals Doyun Choi, Cheonwoo Lee, and Jaemin Yoo |
| BigD397 | Diffusion models: A systematic review from generative theory to applications in group activity Fangxu Wu and Gang Zhang |
| BigD399 | Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki |
| BigD400 | DP-CR: Differentially Private Centroid Routing for Federated RAG in Data Spaces Katsutoshi Amano, Hirotsugu Seike, Kazuma Hatano, and Noboru Koshizuka |
| BigD414 | Real-time Multi-Range Query Processing on Streaming Trajectories Hui Luo, Farhana Choudhury, Jun Yan, Chen Chen, and Xi Chen |
| BigD416 | A Contextual Bandit Approach to Dynamic Thread Tuning in Data Pipeline Systems Yuanhe Liu, Qiuping Zhang, Longfei Yue, Zhenkun Zheng, and Ying Guo |
| BigD417 | Towards More Reliable Chinese Spelling Correction: Fine-Grained Confidence Estimation against Suboptimal Corrections Chaodong Tong, Kun Peng, Qi Zhang, Mingzhe Lu, Haimei Qin, Lei Jiang, and Yanbing Liu |
| BigD424 | Masked Graph-based Cognitive Diagnosis for Intelligent Tutoring Systems Kehao Li, Zhiyu Chen, and Jing Xiao |
| BigD427 | Using multi-perspective information and automatic method selection to enhance the performance of large language models in financial question answering Xuesi Hu, Qiancheng Zhang, Jinpeng Miao, and Peng Wang |
| BigD436 | QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification Pedro Chumpitaz, My Duong, Ying Mao, and Kaixun Hua |
| 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 |
| BigD445 | Adjacency-Aware Deep Reinforcement Learning for Centralized Vehicle Repositioning Chenxu Zhang, Xun Zhou, Yitian Shao, and Jun Luo |
| BigD450 | Dynamic Knowledge Graph-Guided Deep Reinforcement Learning with Hierarchical Semantics Transformer for Portfolio Management Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, ?ngel F. Garc?a-Fern?ndez, Jionglong Su, and Huakang Li |
| BigD451 | A Chinese Fake Review Detection Model Based on BERT and Sentiment Analysis Embedding: Dataset Construction and Model Optimization Xieyuan Li and Haochen Wang |
| BigD462 | ACKE: Attribute and Context based Knowledge Encoding Yuxi Qin and Xinhua Zhang |
| BigD480 | Meta-learning with adaptive borrowing for high dimensional moment condition model Abhisek Chakraborty and Anirban Chakraborty |
| BigD483 | LLM-SQL-Solver: Can LLMs Determine SQL Equivalence? Fuheng Zhao, Jiayue Chen, Lawrence Lim, Ishtiyaque Ahmad, Divyakant Agrawal, and Amr El Abbadi |
| BigD487 | T-RDF: A Task-Based Parallel System for Efficiently Answering SPARQL Queries Lyuheng Yuan, Da Yan, Saugat Adhikari, Jiao Han, Lei Zou, and Yang Zhou |
| BigD489 | LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, and Suhang Wang |
| BigD491 | KV-ZND: A Hybrid Heterogeneous RAID for Optimizing the Performance of LSM-tree Key-Value Stores Chunhui Zhu, Qiuming Tao, Qiming Zhou, and Mingshu Li |
| BigD492 | DEPUTY: A CPU-Free Network Offloading Architecture using DPU for Stable Network Performance Yuchan Lee, Sooho Jang, Sookwang Lee, Shinyoung Ahn, and Jaehwan Lee |
| 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 |
| 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 |
| BigD519 | Denoised Recommendation Model with Collaborative Signal Decoupling Li Zefeng and Yang Ning |
| 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 |
| BigD531 | A Discourse-Aware Entailment Reasoning for Spoken Language Understanding Model Li Zhang, Meiling Liu, Lin Shi, Fanfan Du, and Qingwang Zeng |
| BigD536 | DTC: Demonstration-enhanced Tool Calling for Large Language Models Guoliang Hu, Liang Qian, and Houlong Xiong |
| BigD538 | A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning Daan Rosendal and Ana Oprescu |
| BigD540 | ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-aware Reranking for Multi-Hop Question Answering Keerthana Murugaraj, Salima Lamsiyah, and Martin Theobald |
| BigD548 | People?flow Estimation from Footstep Sounds: A Feasibility Study via Simulation Using Large?scale Pedestrian Trajectories Yu Kitano and Nobutaka Ono |
| BigD556 | PrivCLIP: Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework Ajesh Koyatan Chathoth, Shuhao Yu, and Stephen Lee |
| BigD560 | RFE-KGQA: A GNN-Enhanced Reasoning-Filter-Evaluation Framework for Knowledge Graph Question Answering Wanglin Chen, Jieyu Zhan, and Wenjun Ma |
| BigD561 | HyperGAT: Hypergraph Attention Network for Stock Movement Prediction Jianliang Gao, Shilin Xie, Shujin Wang, and Xiaohua Tony Hu |
| BigD567 | CAR-RAG: Category-Aware Hybrid Retrieval-Augmented Generation for Hallucination Mitigation Tatiana Petrova, Dmitrii Koriakov, and Radu State |
| BigD569 | A deep learning model for water quality prediction based on temporal decomposition and feature enhancement learning Rui Xu, Chuchu Tan, Deke Wang, Jian Li, Liyi Guo, KAMARUL HAWARI BIN GHAZALI, Liangmei Huang, Hang Wan, Shaohua Sun, and Shiming Shen |
| BigD576 | Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series Onur Vural, Shah Muhammad Hamdi, and Soukaina Filali Boubrahimi |
| BigD580 | Online Multi-modal Root Cause Identification in Microservice Systems Lecheng Zheng, Zhengzhang Chen, and Haifeng Chen |
| BigD581 | Federated Multi-modal Knowledge Graph Representation Learning with Optimal Transport Alignment Kinan Al-Attar, Ali N. Firoozsalari, and Rajiv Ramnath |
| BigD582 | A Conceptual Model for Metadata Management with DCAT v3: Emphasizing Dataset Series, Versioning, and Manifests Minjun Kim and Heesun Won |
| BigD586 | Feedback-Integrated Short Answer Grading with Data Augmentation and Large Language Models Bin Zhu, Zebiao Chen, and Shouqiang Liu |
| BigD589 | Multi-Feature Fusion Strategies for Enhancing Knowledge Graph Embedding Chenchen Liu, Fei Pu, Bailin Yang, and Lirong Cheng |
| BigD596 | CHEX: A Cascade of Heterogeneous Experts for Instance-Wise Credit Assessment Daphney-Stavroula Zois, Charalampos Chelmis, Mahsa Azarshab, and Ali Salehi Darjani |
| BigD600 | CARE: Contrastive and Adversarial Representation Enhancement for Heart Failure Prediction Yunfan Zhou, Ying Li, Xuxue Sun, YongQi Hou, Dongquan Li, Jing Shao, Li Wang, and Bo Kong |
| 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 |
| BigD604 | Balancing Decorrelation and Label Predictability for Deep Graph Representation Learning Naeun Park and Heasoo Hwang |
| 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 |
| 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 |
| BigD613 | Secure Retrieval-Augmented Generation against Poisoning Attacks Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, and Minghong Fang |
| 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 |
| BigD622 | MAD: Multimodal Framework for Adaptive Time-Series Anomaly Detection Jeongeum Seok and Wook-Shin Han |
| BigD625 | LLMCOMP: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression Guozhong LI, Muhannad Alhumaidi, Spiros Skiadopoulos, and Panos Kalnis |
| BigD631 | Entity-Aware Pretraining of Large Language Models for Recommender Systems Zhixuan Chu and Yifan Zhu |
| 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 |
| BigD634 | FedHAN: Robust Federated Learning under Model Heterogeneity and Label Noise Zaipeng Xie, Zishu Zhou, Xuanyao Jie, Xing Gao, Han Xu, and Leihan Wang |
| BigD637 | Interpretable Multivariate Anomaly Detector Selection for Automatic Marine Data Quality Control Ngoc-Thanh Nguyen, Astrid Marie Sk?lvik, Emmanouil Sylligardos, Rogardt Heldal, Patrizio Pelliccione, Paul Boniol, Themis Palpanas, and Sverre Jakob Alvsv?g |
| BigD640 | ParaGrapher: A Parallel and Distributed Graph Loading Library for Large-Scale Compressed Graphs Mohsen Koohi Esfahani, Syed Ibtisam Tauhidi, Marco D?Antonio, Thai Son Mai, and Hans Vandierendonck |
| BigD642 | A Geographical Distance-Enhanced Spatial-Temporal Graph Neural Network For Bike Demand Prediction Yifei Luo, Yu Liu, Xi Jiang, Junyu Chen, and Lin Zhang |
| BigD647 | EasyTUS: A Comprehensive Framework for Fast and Accurate Table Union Search across Data Lakes Tim Otto |
| BigD649 | Vertical Federated Learning on Scattered Directive: Enforcing Policies on VFL Workflows Jake Jongejans, Alexandros Koufakis, and Ana Oprescu |
| BigD655 | Trustworthy Scheduling for Big Data Applications Dimitrios Tomaras, Vana Kalogeraki, and Dimitrios Gunopulos |
| BigD658 | Unveiling the Dynamics of Multi-Dimensional Filter Bubbles in News Recommendation Manal A. Alshehri and Xiangliang Zhang |
| BigD661 | SD-CIL: A Structurally Decoupled Framework for Balancing Stability and Plasticity in Online Class-Incremental Learning Mengyun Chen, Jinyong Cheng, Zhe Zhuang, and Zhonghe Wei |
| BigD663 | QNQCDE: Simple Contrastive Learning of Dialogue Embeddings using Question and Non-Question Pairs Jihyun Oh, Subin Choi, and Jihoon Yang |
| BigD679 | Spatio-Temporal Convolution Enhancement for Temporal Dynamics in Information Diffusion Prediction YaJing Zhang and Lei Zhang |
| BigD681 | MPC-XGB: Privacy-Preserving Vertical Federated XGBoost via Secure Multiparty Computation Asma Ramay, Estrid He, Mengmeng Yang, Tabinda Sarwar, Xinqian Wang, and Xun Yi |
| BigD691 | A Focus-Relation Alignment-based Dynamic State Representation Method for Multi-hop Knowledge Graph Question Answering Zifang Tang, Yani Yang, Lanyun Xiao, Tong Li, Yiting Wang, and Zhen Yang |
| BigD694 | Scalable Cross-Location Calibration of Low-Cost Air Quality Sensors Using Heterogeneous Data Martina Casari, Laura Po, and Federica Rollo |
| BigD724 | Extracting TTPs and Generating Sigma Rules from Cyber Threat Intelligence via Densified Knowledge Graph RAG and Optimized Reflective Agentic AI Jeffrey Fairbanks and Edoardo Serra |
| BigD725 | Probing the Black Box: A Behavioral Framework for the Deep Verification of Random Forests Zheyan Zhang and Diego Klabjan |
| BigD731 | MEAL-RL: Population Collection and Temporal Aggregation Reinforcement Learning Strategies For Metalearning Food Donations Esha Sharma, Lauren Davis, Julie Ivy, and Min Chi |
| BigD747 | Stochastic Variational Inference with Tuneable Stochastic Annealing John Paisley, Ghazal Fazelnia, and Brian Barr |
| BigD752 | Explaining Clinical Outcome Predictions with Compositional Rationale Extraction Model Weiting Gao, Riley Grossman, and Yi Chen |
| BigD757 | Reinforcement Learning for Dynamic Decision Making in Engineering Systems Ramin Giahi, Cameron MacKenzie, Reyhaneh Bijari, Reza Yousefi Maragheh, and Kai Zhao |
| BigD762 | The Multi Agent Meeting and Graph Center Problems on Massive Graphs Stefan Funke, Claudius Proissl, and Sabine Storandt |
| BigD766 | Topology-Induced Graph Transformer for Graph Representation Learning Peiyu Liang, Yuzhou Chen, and Xubin He |
| BigD772 | MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection Niki Nezakati, Md Kaykobad Reza, Ameya Patil, Mashhour Solh, and M. Salman Asif |
| BigD775 | Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data Morgan Prior, Thomas Howard, Oliver McLaughlin, Terry Ferguson, Najib Ishaq, and Noah Daniels |
| BigD779 | CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping Veera V S Bhargav Nunna, Shinae Kang, Zheyuan Zhou, Virginia Wang, Sucharitha Boinapally, and Michael Foley |
| BigD781 | Adaptive-Sensorless Monitoring of Shipping Containers Lingqing Shen, Chi Heem Wong, Misaki Mito, and Arnab Chakrabarti |
| BigD782 | GPU Native Computation of Scalable Tensor Programs Tanvir Ahmed Khan and Leonidas Fegaras |
| BigD784 | SWIFT: Scene-Aware Dual Cross-Attention Flight Trajectory Prediction Jihong Zhang, Pingfu Chao, Junhua Fang, Hui Peng, and Jiajie Xu |
| BigD787 | SR-GFEA: A Super-Resolution Algorithm with Geometric Feature Extraction and Alignment Rishabh Jain and Ranga Raju Vatsavai |
| BigD794 | Federated Continual Learning Using Concept Matching Xiaopeng Jiang, Pritam Sen, and Cristian Borcea |
| BigD804 | Semantically-Aware LLM Agent to Enhance Privacy in Conversational AI Services Jayden Serenari and Stephen Lee |
| BigD808 | FedNSA: Federated Noise-Signature Alignment for Model-Heterogeneous UAV Vehicle Detection Tianshi Che, Yang Zhou, Tonghui Li, Qing Chang, Da Yan, Huaguo Zhou, and Zhe Jiang |
| BigD809 | Deep Learning-Based Detection of Multiple Subsurface Defects Using Ultrasonic Surface Waves for Transportation Infrastructure Duoduo Liao, Vansh Ashok Setpal, and Sehaj Gill |
| BigD815 | Leveraging Pre-Trained Language Models for Realistic Adversarial Attacks Nuzaer Omar, Ademola Adesokan, and Sanjay Madria |
| BigD820 | A Polytope-Centric Approach for Efficient Domain Partitioning in Function Sorting Xiyao Li, Ying Cai, and Soamar Homsi |
| BigD827 | From Text to Insight: Towards Robust RAG Pipelines for Transcript-Based Clinical Screening Giuliano Lorenzoni, Paulo Alencar, and Donald Cowan |
| 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 |
| BigD834 | A Data-Driven Probabilistic and Game-Theoretic Algorithm to Optimize Compensation in Cooperative Sharing Economies David Li |
| BigD838 | Do Multimodal Large Language Models Compete with Specialized Object Detection Models? A Quantitative Benchmark Andrew Dunton, Priya Govindarajulu, and Mohammad Masum |
| BigD840 | IVF-TPE: Accelerating Multi-Probe Approximate Nearest Neighbor Search with a Two-Phase Pruning Approach Xu Li, Ke Li, and Leong Hou U |
| BigD849 | Orchestrate-on-Graph: A Multi-Agent Hybrid Retrieval and Reasoning Framework for Reliable LLM Reasoning Bohan Cao, Gewei Lu, and Liping Shen |
| BigD851 | FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, and Xiaodong Yu |
| BigD853 | A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services Guanzhong Pan and Haibo Wang |
| BigD861 | Contrastive Self-Supervised Learning for Text Incoherence Detection Phuong Nguyen, Tuan Le, and Julian McAuley |
| BigD863 | A Quick and Exact Method for Distributed Quantile Computation Ivan Cao, Jaromir Saloni, and David Harrison |
| BigD866 | GFHF-Net: A 3D Global?Fine Hierarchical Fusion Network for Accurate Lung Nodule Segmentation Feng Chen, Xiaobo Zhang, Zixuan Zhao, Jinyu Bao, and Xiaoping Qiu |
| 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 |
| BigD874 | Intent based Knowledge Graph aware Recommender System with Causal Inference Qigong Bi, Yun Yang, Yongliang Ding, and Peng Pu |
| BigD883 | JADE: Jailbreak-Aware Dynamic Defense Enhancer for LLMs via Reinforcement Learning Peicheng Zhao, Laizhen Li, Xitong Gao, Juanjuan Zhao, and Kejiang Ye |
| BigD902 | R-KBQA: Revise-once correction for Generate-then-Retrieve KBQA Wenbo Huang and Lihui Liu |
| BigD904 | Adversarial Bias: Data Poisoning Attacks on Fairness Eunice Chan and Hanghang Tong |
| BigD909 | Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling Zhiguo Zhang, Xiaoliang Ma, and Daniel Schlesinger |
| BigD912 | Pedestrian Environment Assessment Considering Street Impressions During Normal and Evacuation Times Takuya Oki and Chisato Otsuka |
| BigD913 | Contrastive Anomalous User Detection in Recommender Systems via Multi-semantic Paths Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, and Wenjian Wang |
| BigD917 | DynaGABiS: Aspect-based sentiment analysis based on dynamic graph grammar modeling and gated attention mechanism Chaoyue Wang, Yuhua Qin, Yuehang Hu, and Hao Zhang |
| BigD923 | CLCO: Enhancing Chinese-Centric Low-Resource Machine Translation through Domain-Specific Corpus Optimization Songxi Xu and Lianxi Wang |
| BigD929 | Dynamic Temperature Scheduler for Knowledge Distillation. Sibgat Ul Islam, Jawad Ibn Ahad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, and Shafin Rahman |
| BigD935 | RAILL : Retrieval-Augment and Instruction Tuning for Low-resource Language Model Training Youngjun Choi, Sungjun Lim, Minhoi Park, Jaekyeong Jung, TaeKyung Kim, Eunsik Kim, Chul-su Kim, Kyongjae Lee, Hosik Choi, and Kyungwoo Song |
| BigD944 | An Incremental Learning Approach for Micro-credit Approval Shiyang Hao, Yi Liu, Hanyu Yang, Junjie Liu, and Jianfei Yin |
| BigD946 | Automatic Lifestate Identification for High-Dimensional Time Series Data Samuel Smith, Gavin Smith, and John Harvey |
| BigD947 | Generation, Validation, and Selection: A Proof-by-Contradiction Reasoning Chain Data Synthesis Method for Enhancing Indirect Reasoning in Large Language Models runsheng Li, kai Sun, bin Shi, and bo Dong |
| BigD949 | CAREER1: Reasoning Models for Career Path Prediction via Reinforcement Learning Shuzhang Cai, Ying Xie, and Shaojie Tang |
| BigD956 | Tricks and Plug-ins for Gradient Boosting in Image Classification Biyi Fang, Jean Utke, Truong Vo, and Diego Klabjan |
| BigD964 | Efficient Longitudinal Feature Selection via Binarized Transformation: Theory and Case Studies Jason Orender, Mohammed Zubair, and Jiangwen Sun |
| BigD971 | Symbolic Reasoning over LLMs for Dynamic Semantic Personalization in Healthcare Mouncef NAJI, Maroua Masmoudi, Hajer Baazaoui, and Jean-Marie Januel |
| BigD976 | Lung Cancer Detection Using Fine-Tuned Data-Efficient Models Jared Nobles and Xumin Liu |
| BigD981 | Interpretable Granger Causal Discovery with Probabilistic Forecasting in Vehicular Sensor Data Ayanabha Ghosh and Debasis Das |