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Yu Zhang

4 papers hereh-index 4275 citations8 works total

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • cs.CL1
same name
  • Yu Zhang — 22 papers, h 9
  • Yu Zhang — 20 papers, h 5
  • Yu Zhang — 16 papers, h 4
  • Yu Zhang — 16 papers, h 27
  • Yu Zhang — 10 papers, h 2
  • Yu Zhang — 9 papers, h 5

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

collaborators

4 papers

cs.AI2026

A Deterministic Agentic Workflow for HS Tariff Classification: Multi-Dimensional Rule Reasoning with Interpretable Decisions

Yu Zhang, Dongjiang Zhuang, Qu Zhou +4

Harmonized System (HS) tariff classification is a high-stakes, expert-level task in which a free-form product description must be mapped to a specific six- or eight-digit code unde…

cs.CV2026

Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning

Yunhao Gou, Kai Chen, Zhili Liu +5

Recent breakthroughs in reasoning language models have significantly advanced text-based reasoning. On the other hand, Multi-modal Large Language Models (MLLMs) still lag behind, h…

cs.CL2025

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment

Zhili Liu, Yunhao Gou, Kai Chen +8

As the capabilities of large language models (LLMs) continue to expand, aligning these models with human values remains a significant challenge. Recent studies show that reasoning…

cs.CV2025

Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning

Yunhao Gou, Hansi Yang, Zhili Liu +8

Visual Instruction Tuning (VIT) aims to enhance Multimodal Large Language Models (MLLMs), yet its effectiveness is often compromised by corrupted datasets with issues such as hallu…

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