ORCID as entered in ROS

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2025, Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
,2025, Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation, http://dx.doi.org/10.48550/arxiv.2506.21599
,2025, Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction, http://dx.doi.org/10.48550/arxiv.2506.23053
,2025, Generate the Forest before the Trees -- A Hierarchical Diffusion model for Climate Downscaling, http://dx.doi.org/10.48550/arxiv.2506.19391
,2025, ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation, http://dx.doi.org/10.48550/arxiv.2506.17929
,2025, STOAT: Spatial-Temporal Probabilistic Causal Inference Network, http://arxiv.org/abs/2506.09544v2
,2025, A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models, http://arxiv.org/abs/2506.09076v1
,2025, BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting, http://arxiv.org/abs/2505.22692v1
,2025, EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM, http://arxiv.org/abs/2505.19905v1
,2025, Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning, http://arxiv.org/abs/2505.13994v1
,2025, SOCIA: An End-to-End Agentic Framework for Automated Cyber-Physical-Social Simulator Generation, http://arxiv.org/abs/2505.12006v2
,2025, Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks, http://arxiv.org/abs/2505.11239v2
,2025, Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion, http://arxiv.org/abs/2504.13517v1
,2025, Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare, http://arxiv.org/abs/2504.08260v2
,2025, Information Retrieval for Climate Impact, http://arxiv.org/abs/2504.01162v1
,2025, Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval, http://arxiv.org/abs/2503.14234v3
,2025, Embedding spatial context in urban traffic forecasting with contrastive pre-training, http://arxiv.org/abs/2503.14980v1
,2025, Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer, http://arxiv.org/abs/2503.15566v1
,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
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