Area of research
Signal Processing · Transportation
Research interest
Research interests include Computer science, Artificial intelligence, Trajectory, Synchronization (alternating current), Natural language processing, and Group (periodic table).
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
A policy roadmap for sustainable mass-testing
Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations
Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies
Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources
The Role of Preprocessing for Word Representation Learning in Affective Tasks
Conversation Derailment Forecasting with Graph Convolutional Networks
PathletRL: Trajectory Pathlet Dictionary Construction using Reinforcement Learning
Higher-order Mobility Flow Data
Higher-order Mobility Flow Data
Higher-order Mobility Flow Data
Network-aware multi-agent reinforcement learning for the vehicle navigation problem
Evaluating and forecasting the operational performance of road intersections
Epidemic Spreading in Trajectory Networks
ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model
OL-HeatMap: Effective Density Visualization of Multiple Overlapping Rectangles
Industry and Academic Research in Computer Vision
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model
Affective and Contextual Embedding for Sarcasm Detection
Leveraging Transitions of Emotions for Sarcasm Detection
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
Evolving network representation learning based on random walks
MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Scene Classification in Indoor Environments for Robots using Context\n Based Word Embeddings
A versatile computational framework for group pattern mining of pedestrian trajectories
Leveraging Emotion Features in News Recommendations.
Conference on Recommender Systems 2019cited by 6position: last
Efficient Mining and Exploration of Multiple Axis-Aligned Intersecting Objects
Learning Emotion-enriched Word Representations
International Conference on Computational Linguistics 2018cited by 51position: last