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Posts by Collection
portfolio
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publications
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
Published in NeurIPS 2024, 2025
A novel structure-aware framework that integrates graph coarsening, node representation learning, and policy optimization for device placement on computation graphs, achieving up to ~60% inference speedup.
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL
Published in IEEE LAD 2025, 2025
HDLCoRe is a training-free framework leveraging HDL-aware CoT prompting and a two-stage RAG system to mitigate hallucinations in LLM-generated HDL, significantly improving syntactic and functional correctness on RTLLM2.0.
End-to-End Learning Framework for Solving Non-Markovian Optimal Control
Published in ICML 2025, 2025
A theoretical and learning-based end-to-end framework (FOLOC) for identification and optimal control of fractional-order LTI systems, with sample complexity guarantees and robust performance under non-Gaussian noise.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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