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researcher

Haobo Zhang

4 papers hereh-index 467 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL1
same name
  • Haobo Zhang — 7 papers, h 15
  • Haobo Zhang — 2 papers, h 3
  • Haobo Zhang — 2 papers, h 1
  • Haobo Zhang — 2 papers, h 5
  • Haobo Zhang — 1 paper, h 3
  • Haobo Zhang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
client heterogeneity 1federated learning 1low-rank adaptation 1model fine-tuning 1subspace allocation 1

From the 1 of 4 linked papers with an AI index.

collaborators

4 papers

cs.LG2026

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

Haobo Zhang, Jiankun Wang, Suraj Rajendran +5

The paper introduces Dysco, a plug‑in technique for federated fine‑tuning of large models that dynamically allocates client‑specific LoRA subspaces to reduce interference caused by…

cs.CL2026

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging

Haobo Zhang, Jiayu Zhou

Fine-tuning large language models (LMs) for individual tasks yields strong performance but is expensive for deployment and storage. Recent works explore model merging to combine mu…

cs.LG2026

Molecular Lead Optimization via Agentic Tool Planning

Lingxiao Li, Haobo Zhang, Ruohao Fan +2

Drug discovery is a lengthy and resource-intensive process composed of multiple stages. Among these stages, lead optimization plays a critical role in transforming early hit compou…

cs.LG2025

Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design

Lingxiao Li, Haobo Zhang, Bin Chen +1

Text-conditioned molecular generation aims to translate natural-language descriptions into chemical structures, enabling scientists to specify functional groups, scaffolds, and phy…

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