Author

Chengquan Zhang

Observed name: Zhang, Chengquan

Institution: Tencent (China)

Observed institution: Tencent (China)

OpenAlex ID: A5132762025

HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents

2026 · Hy Vision Team, Shen, Huawen, et al. · arXiv (Cornell University)

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HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better

2026 · Li, Gengluo, Wan, Xingyu, et al. · arXiv (Cornell University)

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PhoneBuddy: Training Open Models for Agentic Phone Use

2026 · Tang, Zhengyang, Lai, Xin, et al. · arXiv (Cornell University)

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PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions

2026 · Li, Chenxin, Fang, Zhengyao, et al. · arXiv (Cornell University)

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ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats

2026 · Peng, Shangpin, Li, Gengluo, et al. · arXiv (Cornell University)

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PhoneWorld: From Real-App Trajectories to Dynamic and Verifiable Environments for Phone-Use Agents

2026 · Liu, Yuxuan, Lai, Xin, et al. · arXiv (Cornell University)

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Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters

2026 · Li, Gengluo, Peng, Shangpin, et al. · arXiv (Cornell University)

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Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents

2026 · Tang, Zhengyang, Zhang, Yi, et al. · arXiv (Cornell University)

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Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

2026 · Hou, Wenjin, Peng, Shangpin, et al. · arXiv (Cornell University)

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Do Phone-Use Agents Respect Your Privacy?

2026 · Tang, Zhengyang, Ji, Ke, et al. · arXiv (Cornell University)

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Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training

2026 · Li, Gengluo, Lyu, Pengyuan, et al. · arXiv (Cornell University)

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MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation

2026 · Li, Gengluo, Zhang, Chengquan, et al. · arXiv (Cornell University)

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Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity

2026 · Fang, Zhengyao, Lyu, Pengyuan, et al. · arXiv (Cornell University)

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StrucTab: A Structured Optimization Framework for Table Parsing

2026 · Gengluo Li, Shangpin Peng, et al. · Lecture notes in computer science

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Works count: 14

Citation count:

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