Select Publications
Preprints
, 2025, Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities
, 2025, Classical Feature Embeddings Help in BERT-Based Human Mobility Prediction, http://dx.doi.org/10.48550/arxiv.2510.20275
, 2025, Hierarchical Sequence Iteration for Heterogeneous Question Answering, http://dx.doi.org/10.48550/arxiv.2510.20505
, 2025, There is No "apple" in Timeseries: Rethinking TSFM through the Lens of Invariance, http://dx.doi.org/10.48550/arxiv.2510.20119
, 2025, Overcoming Catastrophic Interference: Neuroscience-inspired Models for Continuous Learning in Neural Networks, http://dx.doi.org/10.31234/osf.io/up7yz_v1
, 2025, DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning, http://dx.doi.org/10.48550/arxiv.2509.24868
, 2025, Resolving Ambiguity in Gaze-Facilitated Visual Assistant Interaction Paradigm, http://dx.doi.org/10.48550/arxiv.2509.21980
, 2025, TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis, http://dx.doi.org/10.48550/arxiv.2508.17565
, 2025, ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents, http://dx.doi.org/10.48550/arxiv.2508.04038
, 2025, CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning, http://dx.doi.org/10.48550/arxiv.2508.03764
, 2025, SenseSeek Dataset: Multimodal Sensing to Study Information Seeking Behaviors, http://dx.doi.org/10.48550/arxiv.2507.14792
, 2025, Bisecle: Binding and Separation in Continual Learning for Video Language Understanding, http://dx.doi.org/10.48550/arxiv.2507.00469
, 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