Anzhe Cheng
Scholar

Anzhe Cheng

Google Scholar ID: DTW3SlcAAAAJ
Ph.D. Student, University of Southern California
machine learningcomputer visiondistributed networklarge language model
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Citations & Impact
All-time
Citations
16
 
H-index
2
 
i10-index
0
 
Publications
6
 
Co-authors
11
list available
Contact
No contact links provided.
Publications
12 items
TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification
2026
Cited
0
COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation
2026
Cited
0
POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
2026
Cited
0
Structural Complexity of Brain MRI reveals age-associated patterns
2026
Cited
0
EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts
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
MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation
2025
Cited
0
Resume (English only)
Co-authors
11 total
Paul Bogdan
Paul Bogdan
Associate Professor, University of Southern California
Shahin Nazarian
Shahin Nazarian
University of Southern California, Professor of Electrical and Computer Engineering Practice
Chenzhong Yin
Chenzhong Yin
Applied Scientist at Microsoft
Heng Ping
Heng Ping
University of Southern California
Co-author 5
Co-author 5
Mingxi Cheng
Mingxi Cheng
University of Southern California
Andrei Irimia
Andrei Irimia
Associate Professor, USC & KCL
Nikos Kanakaris
Nikos Kanakaris
Applied Scientist, Amazon, AWS