Scholar
Heng Ping
Google Scholar ID: 7c8rCeQAAAAJ
University of Southern California
Artificial Intelligence
Graph Learning
Electronic Design Automation
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Citations & Impact
All-time
Citations
58
H-index
6
i10-index
3
Publications
12
Co-authors
9
list available
Contact
No contact links provided.
Publications
13 items
POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
2026
Cited
0
OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
2026
Cited
0
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
2026
Cited
0
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
2025
Cited
0
VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation
2025
Cited
0
FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
ACM Multimedia · 2025
Cited
2
H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
2025
Cited
0
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL
2025
Cited
0
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Resume (English only)
Co-authors
9 total
Paul Bogdan
Associate Professor, University of Southern California
Co-author 2
Nikos Kanakaris
Applied Scientist, Amazon, AWS
Shahin Nazarian
University of Southern California, Professor of Electrical and Computer Engineering Practice
Shukai Duan
University of Southern California
Nesreen K. Ahmed
Senior Principal Scientist, Cisco AI Research, Intel Labs, Purdue University
Chenyu Zhou
University of Southern California
Co-author 8
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