Chenghao Huang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning.
CoRR, April, 2026

OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection.
CoRR, January, 2026

Physics-informed prediction of modal parameters and stability analysis for robotic mirror milling.
Robotics Comput. Integr. Manuf., 2026

Design of support head with joint-synchronized structure and tuned mass damper for robotic mirror milling.
Robotics Comput. Integr. Manuf., 2026

2025
FedCoSR: Personalized Federated Learning With Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data.
IEEE Trans. Cybern., December, 2025

Season-Independent PV Disaggregation Using Multi-Scale Net Load Temporal Feature Extraction and Weather Factor Fusion.
CoRR, May, 2025

Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation Under Statistical Heterogeneity.
IEEE Trans. Instrum. Meas., 2025

LoadGuard: An Adaptive Deep Learning Model for Smart Meter Electricity Theft Detection.
Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

InterIDEAS: Philosophical Intertextuality via LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Bandwidth-Efficient Mobile Volumetric Video Streaming by Exploiting Inter-Frame Correlation.
IEEE Trans. Mob. Comput., October, 2024

TrafAda: Cost-Aware Traffic Adaptation for Maximizing Bitrates in Live Streaming.
IEEE/ACM Trans. Netw., February, 2024

Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-Term Load Forecasting in Electricity Wholesale Markets.
IEEE Trans. Netw. Sci. Eng., 2024

FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data.
CoRR, 2024

PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model.
CoRR, 2024

Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Smart Cities Conference, 2024

Smart Energy Guardian: A Hybrid Deep Learning Model for Detecting Fraudulent PV Generation.
Proceedings of the IEEE International Smart Cities Conference, 2024

FSAD:Few-Shot Object Detection via Aggregation and Disentanglement.
Proceedings of the International Joint Conference on Neural Networks, 2024

Memory Coordinated Cross Perception for Few-Shot Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Layout Optimization of a Heterogeneous Multi-robot System for Mirror Milling.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

2023
Large Foundation Models for Power Systems.
CoRR, 2023

Hermes: Leveraging Implicit Inter-Frame Correlation for Bandwidth-Efficient Mobile Volumetric Video Streaming.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Double-Fine-Tuning Multi-Objective Vision-and-Language Transformer for Social Media Popularity Prediction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Team Noir at Factify 2: Multimodal Fake News Detection with Pre-trained CLIP and Fusion Network.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

2022
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets.
CoRR, 2022

DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning.
CoRR, 2022

Title-and-Tag Contrastive Vision-and-Language Transformer for Social Media Popularity Prediction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Inference-Based Deep Reinforcement Learning for Physics-Based Character Control.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

DearFSAC: A DRL-based Robust Design for Power Demand Forecasting in Federated Smart Grid.
Proceedings of the IEEE Global Communications Conference, 2022

zydhjh4593@SMM4H'22: A Generic Pre-trained BERT-based Framework for Social Media Health Text Classification.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

2021
PSO-LSSVM model-based waypoint traffic prediction study.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Research on airspace security risk assessment technology based on knowledge Graph.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Research on fast generation and simulation technology of air traffic flow in control sector.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020


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