ORCID as entered in ROS

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2025, Long Context Modeling with Ranked Memory-Augmented Retrieval, http://arxiv.org/abs/2503.14800v1
,2025, Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English, http://arxiv.org/abs/2503.12858v1
,2025, Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey, http://arxiv.org/abs/2503.13502v1
,2025, COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition, http://arxiv.org/abs/2503.07259v1
,2025, TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation, http://arxiv.org/abs/2502.18712v1
,2025, Watch Out E-scooter Coming Through: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders Ego-centric Views, http://arxiv.org/abs/2502.16755v1
,2025, Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction, http://arxiv.org/abs/2502.14171v5
,2025, AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models, http://arxiv.org/abs/2502.13626v1
,2025, PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN, http://arxiv.org/abs/2502.12207v1
,2025, RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars, http://arxiv.org/abs/2502.11681v4
,2025, The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions, http://arxiv.org/abs/2502.01325v2
,2025, Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification, http://arxiv.org/abs/2501.06827v1
,2024, RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data, http://arxiv.org/abs/2412.17015v5
,2024, Resolution-Agnostic Transformer-based Climate Downscaling, http://dx.doi.org/10.48550/arxiv.2411.14774
,2024, BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics, http://dx.doi.org/10.48550/arxiv.2412.14175
,2024, ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting, http://arxiv.org/abs/2411.07413v2
,2024, PACER: Physics Informed Uncertainty Aware Climate Emulator, http://arxiv.org/abs/2410.21657v2
,2024, GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems, http://arxiv.org/abs/2410.20643v2
,2024, Exploring Capabilities of Time Series Foundation Models in Building Analytics, http://dx.doi.org/10.48550/arxiv.2411.08888
,2024, Evaluating the Influences of Explanation Style on Human-AI Reliance, http://arxiv.org/abs/2410.20067v1
,2024, SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition, http://arxiv.org/abs/2410.10624v3
,2024, Inside Out or Not: Privacy Implications of Emotional Disclosure, http://dx.doi.org/10.1145/3675094.3677598
,2024, Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health, http://dx.doi.org/10.48550/arxiv.2408.07313
,2024, WorkR: Occupation Inference for Intelligent Task Assistance, http://dx.doi.org/10.48550/arxiv.2407.18518
,2024, Long-term Fairness in Ride-Hailing Platform, http://dx.doi.org/10.48550/arxiv.2407.17839
,2024, AuditNet: A Conversational AI-based Security Assistant [DEMO], http://arxiv.org/abs/2407.14116v1
,2024, Understanding Physiological Responses of Students Over Different Courses, http://dx.doi.org/10.1145/3675095.3676620
,2024, REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability, http://arxiv.org/abs/2406.14214v6
,2024, ViLCo-Bench: VIdeo Language COntinual learning Benchmark, http://arxiv.org/abs/2406.13123v3
,2024, Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned, http://dx.doi.org/10.48550/arxiv.2406.12709
,2024, XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation, http://dx.doi.org/10.48550/arxiv.2406.12693
,2024, BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics, http://arxiv.org/abs/2406.08990v2
,2024, T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation, http://dx.doi.org/10.48550/arxiv.2406.12913
,2024, STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning, http://arxiv.org/abs/2406.04035v3
,2024, CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework, http://dx.doi.org/10.48550/arxiv.2406.03109
,2024, ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation, http://dx.doi.org/10.48550/arxiv.2406.03404
,2024, Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem, http://dx.doi.org/10.48550/arxiv.2405.19184
,2024, Identifying high resolution benchmark data needs and Novel data-driven methodologies for Climate Downscaling, http://arxiv.org/abs/2405.20346v1
,2024, Spectraformer: A Unified Random Feature Framework for Transformer, http://arxiv.org/abs/2405.15310v3
,2024, A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings, http://dx.doi.org/10.48550/arxiv.2405.14267
,2024, Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search, http://dx.doi.org/10.48550/arxiv.2405.12480
,2024, Characterizing Information Seeking Processes with Multiple Physiological Signals, http://dx.doi.org/10.1145/3626772.3657793
,2024, Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing, http://dx.doi.org/10.48550/arxiv.2404.14665
,2024, Large Language Models for Next Point-of-Interest Recommendation, http://dx.doi.org/10.1145/3626772.3657840
,2024, GustosonicSense: Towards understanding the design of playful gustosonic eating experiences, http://arxiv.org/abs/2403.10851v1
,2024, Prompt Mining for Language-based Human Mobility Forecasting, http://arxiv.org/abs/2403.03544v1
,2024, STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting, http://dx.doi.org/10.48550/arxiv.2402.17966
,2024, SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding, http://arxiv.org/abs/2402.12132v1
,2024, Deep Learning-Based CKM Construction with Image Super-Resolution, http://dx.doi.org/10.32388/vj94l6
,2024, Resolution-Agnostic Transformer-based Climate Downscaling, http://dx.doi.org/10.32388/jt4y4x
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