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Jian Zhu

6 papers indexed

arxiveess.AScs.AIcs.CLcs.LGcs.SD2026-07-10

Phone Segmentation and Recognition through Phonological Activation Mapping

Shikhar Bharadwaj, Kwanghee Choi, Stephen McIntosh, Chin-Jou Li, Eunjung Yeo, Daisuke Saito, et al.

Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separately. We argue that phonetic structure is already latent in the representations of self-supervised speech models (S3Ms), and one only needs to steer them to solve bot…

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arxivcs.ROcs.AI2026-07-06

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation

Jian Zhu, Jianjun Zhang, Taiyi Su, Tianbin Liu, Zhangyuan Wang, Kai Xie, et al.

World Action Models (WAMs) provide a promising alternative to Vision-Language-Action (VLA) policies by using video-based world modeling as dense supervision for robot action learning. Existing WAMs excel at physically grounded execution, but typically lack the explicit language-l…

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arxivcs.ROcs.AI2026-07-06

Learning 4D Geometric Priors for Inference-Efficient World Action Models

Jianjun Zhang, Jian Zhu, Taiyi Su, Chong Ma, Zitai Huang, Yi Xu, et al.

World Action Models (WAMs) have shown strong potential for robotic manipulation by jointly modeling visual future dynamics and executable action sequences. However, existing video-action co-training methods primarily optimize appearance-oriented video latents, which may insuffici…

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arxivcs.SEcs.AI2026-06-29

SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflows

Jian Zhu, Yuzheng Zhang, Zeyao Ma, Bohan Zhang, Armin Schoepf, Daniel Woloch, et al.

Spreadsheets are widely used for business analysis, financial modeling, reporting, and decision-making. However, most existing spreadsheet benchmarks evaluate isolated operations such as single-formula generation or local cell edits, and therefore fail to capture end-to-end workf…

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crossrefSustainability2026-05-08Cited by 1

The Impact of Digital Infrastructure Construction on Urban–Rural Consumption Inequality in China: Evidence from Difference-in-Differences and Double Machine Learning

Yi Luo, Duxuan Zeng, Jian Zhu, Min Chen

Bridging urban–rural consumption inequality (URCI) is crucial for achieving sustainable and inclusive development. Although the welfare implications of digital infrastructure construction (DIC) have attracted increasing attention, evidence on its effect on URCI remains limited. T…

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