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Heng Zhang

ACL 2026×2ICLR 2026ICRA 2026KDD 2026可解释性检索与知识效率与系统代码推理
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一作贡献130
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方向广度19
合作网络12
3 一作 · 5 篇 · ACL 2026 / ICLR 2026 / ICRA 2026 / KDD 2026

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2026 顶会论文

5
作者位次 #4/5ICLR 2026Poster· General Machine Learning / Representation Learning

ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code

Mingqiao Mo · Yunlong Tan · Hao Zhang · Heng Zhang · Yangfan He

可解释性代码OpenReview
一作ACL 2026Findings· Findings of ACL

E vo H yper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication

Heng Zhang · Yihao Zhong · Lubin Gan · Zhihe Chen · Jiajun Wu · Yuling Shi · Xiaodong Gu · Hao Zhang · Haochen You · Jin Huang

摘要

Multi-agent systems powered by large language models have achieved strong performance on complex tasks, yet naive collaboration topologies often cause high communication costs and redundant context. Existing methods usually use a fixed communication graph and manage collaboration structure and sh...

推理智能体与工具检索与知识OpenReview 项目页
作者位次 #5/11ACL 2026Findings· Findings of ACL

H yper A da L o RA : Accelerating L o RA Rank Allocation During Training via Hypernetworks without Sacrificing Performance

Hao Zhang · Zhenjia Li · Yifan Gao · Xi Xiao · Heng Zhang · Shuyang Zhang · Xiaoxincc · Bo Huang · Yuhang Wu · Tianyang Wang · Hao Xu

摘要

Parameter-Efficient Fine-Tuning (PEFT), especially Low-Rank Adaptation (LoRA), has emerged as a promising approach to fine-tuning large language models(LLMs) while reducing computational and memory overhead. However, LoRA assumes a uniform rank r for each incremental matrix, not accounting for th...

效率与系统可解释性强化学习与后训练OpenReview 项目页
一作KDD 2026Oral· Knowledge Discovery & Data Mining

H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space

Heng Zhang · Jin Huang

效率与系统检索与知识OpenReview

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