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Home/Authors/Heng Zhao

Heng Zhao

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

ML×2AI×2Vision×1Info Retrieval×1Image and Video Processing×1NLP×1

Frequent co-authors

Tengfei Zhang1×
Ziheng Zhao1×
Lisong Dai1×
Xiaoman Zhang1×
Pengcheng Qiu1×
Ya Zhang1×

Research Timeline

2026
Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel Lineages

KLineage introduces a novel method to teach LLMs when and how to apply GPU kernel optimizations by reverse-engineering expert kernel lineages, resulting in superior optimization skills compared to existing baselines.

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation

EvoGens is an evolution-inspired framework that treats scientific idea generation as an evolutionary search, significantly boosting the novelty and diversity of generated research ideas compared to existing LLM-based methods.

ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts

The paper introduces ProbMoE, a probabilistic routing framework that tackles the non-differentiability of top-$k$ routing in Mixture-of-Experts (MoE) models, achieving strong performance with improved expert utilization.

A Vision-language Framework for Comparative Reasoning in Radiology

This paper introduces MedReCo and MedReCo-VLM, a framework that enables entity-aware cross-image reasoning for medical imaging, allowing AI to compare current scans with prior studies and analogous cases based on structured clinical reports.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.IRcs.LGRecentJun 4, 2026

A Vision-language Framework for Comparative Reasoning in Radiology

Tengfei Zhang, Ziheng Zhao, Lisong Dai, Xiaoman Zhang +4 more

This paper introduces MedReCo and MedReCo-VLM, a framework that enables entity-aware cross-image reasoning for medical imaging, allowing AI to compare current scans with prior studies and analogous ca…

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cs.LGcs.AIRecentJun 1, 2026

ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts

Heng Zhao, Zilei Shao, Guy Van den Broeck, Zhe Zeng

The paper introduces ProbMoE, a probabilistic routing framework that tackles the non-differentiability of top-$k$ routing in Mixture-of-Experts (MoE) models, achieving strong performance with improved…

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cs.CLRecentMay 29, 2026

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation

Xu Li, Hanzhe Tu, Xinyi Li, Kuncheng Zhao +2 more

EvoGens is an evolution-inspired framework that treats scientific idea generation as an evolutionary search, significantly boosting the novelty and diversity of generated research ideas compared to ex…

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cs.AIRecentMay 27, 2026

Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel Lineages

Shuoming Zhang, Qiuchu Yu, Yangyu Zhang, Ruiyuan Xu +5 more

KLineage introduces a novel method to teach LLMs when and how to apply GPU kernel optimizations by reverse-engineering expert kernel lineages, resulting in superior optimization skills compared to exi…

View →