Hao Wang

Orcid: 0000-0002-3035-3064

Affiliations:
  • Clemson University, School of Computing, SC, USA


According to our database1, Hao Wang authored at least 29 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis.
CoRR, July, 2025

DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models.
CoRR, May, 2025

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint.
CoRR, May, 2025

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA.
CoRR, April, 2025

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation.
CoRR, March, 2025

Driving Toward Inclusion: A Systematic Review of AI-Powered Accessibility Enhancements for People With Disability in Autonomous Vehicles.
IEEE Access, 2025

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
RobustFormer: Noise-Robust Pre-training for images and videos.
CoRR, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
CoRR, 2024

Motor Focus: Ego-Motion Prediction with All-Pixel Matching.
CoRR, 2024

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation.
CoRR, 2024

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance.
CoRR, 2024

FLAME Diffuser: Grounded Wildfire Image Synthesis using Mask Guided Diffusion.
CoRR, 2024

Driving Towards Inclusion: Revisiting In-Vehicle Interaction in Autonomous Vehicles.
CoRR, 2024

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach.
CoRR, 2023

LLM-based Smart Reply (LSR): Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply System.
CoRR, 2023

Network-Level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.
IEEE Access, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023

2022
DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography.
CoRR, 2022

Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.
CoRR, 2022

Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset.
IEEE Access, 2022

Nano-Resolution Visual Identifiers Enable Secure Monitoring in Next-Generation Cyber-Physical Systems.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Fast Key Points Detection and Matching for Tree-Structured Images.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Towards Boosting Channel Attention for Real Image Denoising: Sub-band Pyramid Attention.
Proceedings of the Image and Graphics - 11th International Conference, 2021


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