Heng Ping

Orcid: 0000-0002-8141-1076

According to our database1, Heng Ping authored at least 25 papers between 2020 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
COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation.
CoRR, April, 2026

Fractional Risk Analysis of Stochastic Systems with Jumps and Memory.
CoRR, March, 2026

POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization.
CoRR, March, 2026

OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization.
CoRR, February, 2026

Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge.
CoRR, February, 2026

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning.
CoRR, January, 2026

2025
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization.
CoRR, November, 2025

VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation.
CoRR, October, 2025

H<sup>2</sup>GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs.
CoRR, June, 2025

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.
CoRR, March, 2025

MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation.
CoRR, March, 2025

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Optimized Trajectory Planning and Kalman Filter-Enhanced INDI Motion Control for Spherical Robots.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

REN: A Reconfigurable End-To-end NeuroSLAM Hardware Accelerator for Micro Mobile Robots.
Proceedings of the 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2025

2024
The effect of self-efficacy and pair programming experience in learning results of introductory programming courses.
CoRR, 2024

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.
CoRR, 2024

A Structure-Aware Framework for Learning Device Placements on Computation Graphs.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

An Energy-efficient and Dual-mode AI Accelerator for Wearable Lung Sound Monitoring.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023
Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR, 2023

2022
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Multi-Head Attention Based Popularity Prediction Caching in Social Content-Centric Networking With Mobile Edge Computing.
IEEE Commun. Lett., 2021

2020
A Novel Caching Strategy in Social Content-Centric Networking with Mobile Edge Computing.
Proceedings of the IEEE Symposium on Computers and Communications, 2020


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