Heng Ping

According to our database, Heng Ping authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

H²GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs.

Trung-Kien Nguyen, Heng Ping, Shixuan Li, Peiyu Zhang, Nikos Kanakaris, Nicholas A. Kotov, Paul Bogdan

CoRR, June, 2025

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.

Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan

CoRR, March, 2025

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

Anzhe Cheng, Chenzhong Yin, Yu Chang, Heng Ping, Shixuan Li, Shahin Nazarian, Paul Bogdan

CoRR, March, 2025

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.

Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.

Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Yifan Mei, Heng Ping, Mingren Shen

CoRR, 2024

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

Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan

CoRR, 2024

A Structure-Aware Framework for Learning Device Placements on Computation Graphs.

Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.

Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan

Proceedings of the IEEE International Conference on Acoustics, 2024

An Energy-efficient and Dual-mode AI Accelerator for Wearable Lung Sound Monitoring.

Keyi Yang, Bingqiang Liu, Zirui Huang, Heng Ping, Ziyuan Wen, Zixuan Shen, Chengjun Huang, Chao Wang

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2023

2022

Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network.

Bingqiang Liu, Ziyuan Wen, Hongling Zhu, Jinsheng Lai, Jiajun Wu, Heng Ping, Wenqing Liu, Guoyi Yu, Jianmin Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang

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.

Jie Liang, Dali Zhu, Haitao Liu, Heng Ping, Ting Li, Hangsheng Zhang, Liru Geng, Yinlong Liu

IEEE Commun. Lett., 2021

2020

A Novel Caching Strategy in Social Content-Centric Networking with Mobile Edge Computing.

Dali Zhu, Jie Liang, Haitao Liu, Heng Ping, Ting Li, Hangsheng Zhang, Liru Geng, Yinlong Liu

Proceedings of the IEEE Symposium on Computers and Communications, 2020