Chenghao Huang

Orcid: 0000-0003-2961-6282

According to our database1, Chenghao Huang authored at least 23 papers between 2020 and 2024.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

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

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

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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