Haidong Kang

Orcid: 0000-0001-8533-5704

According to our database1, Haidong Kang authored at least 21 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues.
IEEE Trans. Neural Networks Learn. Syst., May, 2026

Unlocking the Potential of Continual Model Merging: An ODE Perspective.
CoRR, May, 2026

Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Revolutionizing Mixed Precision Quantization: Towards Training-free Automatic Proxy Discovery via Large Language Models.
CoRR, December, 2025

Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models.
CoRR, December, 2025

Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion.
CoRR, November, 2025

Breaking Expert Knowledge Limits: Self-Pruning for Large Language Models.
CoRR, November, 2025

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs.
CoRR, June, 2025

Evolving neural network for few-shot learning via training-free NAS.
Swarm Evol. Comput., 2025

Series-MMC Hybrid for Enhancing Grid-Forming Control of Offshore Wind Turbines Connected to Diode-Based HVdc Transmission.
IEEE Access, 2025

HoloTrace: LLM-based Bidirectional Causal Knowledge Graph for Edge-Cloud Video Anomaly Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MRT-NAS: Boosting Training-Free NAS via Manifold Regularization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

2024
ParaLoupe: Real-Time Video Analytics on Edge Cluster via Mini Model Parallelization.
IEEE Trans. Mob. Comput., December, 2024

Single-Domain Generalized Predictor for Neural Architecture Search System.
IEEE Trans. Computers, May, 2024

Neural Architecture Search based on Brain Storm Optimization Algorithm for Face Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

When NAS Meets Anomaly Detection: In Search of Resource-Efficient Architectures in Surveillance Video.
Proceedings of the International Joint Conference on Neural Networks, 2024

2022
Multiple Residual Quantization of Pruning.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2019
A Dynamic Scene Recognition Method for Event-Based Social Network.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2019


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