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Jing Zhang

8 papers indexed

arxivcs.AIcs.LG2026-07-15

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models

Zhu Cheng, Zhenming Wang, Yu, Tang, Dan Liu, Bryan Zhang, et al.

Product catalogs are the backbone of e-commerce sites, yet a large number of structured attributes (SAs) -- such as material, color, and shape -- often have missing values. Typically, SA values are extracted from product information, including titles and descriptions. While LLM-b…

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arxivcs.CVcs.CRcs.LG2026-07-14

Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization

Yuxin Huang, Ziming Hong, Mingming Gong, Wanyu Wang, Jing Zhang, Tongliang Liu

Recent diffusion-based video generation models have enabled high-quality personalized video customization through both tuning-based pipelines, which fine-tune a video diffusion model, and reference-based pipelines such as image-to-video generation. However, these capabilities rai…

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crossrefEngineering Reports2026-07-01

Comparative Evaluation of Statistical, Machine‐Learning, and Deep‐Learning Models for Construction Sand and Gravel Price Forecasting: A Synthetic‐Data, Simulation‐Based Benchmark

You Wu, Peng Li, Jing Zhang, Fengsheng Guo, Danshu Hu, Wei He, et al.

ABSTRACT Forecasting construction sand and gravel prices is critical for infrastructure cost control, yet reliable comparisons among model families in the small‐sample, multidriver setting typical of regional markets are lacking. This study benchmarks eight algorithms—Ridge regre…

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arxivcs.CVcs.AI2026-07-01

Post-Training Pruning for Diffusion Transformers

Chengzhi Hu, Xuewen Liu, Jing Zhang, Mengjuan Chen, Zhikai Li, Qingyi Gu

Diffusion Transformers (DiTs) have demonstrated impressive performance in image generation but suffer from substantial computational overhead and resource consumption. Post-training pruning offers a promising solution; however, due to DiTs' unique architectural design and paramet…

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arxivcs.CV2026-06-30

PointSplat: Compact Gaussian Splatting via Human-Centric Prediction

Yujie Guo, Yudong Jin, Lingteng Qiu, Zehong Shen, Zhen Xu, Jing Zhang, et al.

Producing 3D human representations from input views on the fly is essential for immersive live streaming systems, where representation compactness is as critical as high fidelity given limited computational power and transmission bandwidth. Although recent feed-forward reconstruc…

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arxivcs.ROcs.CV2026-06-29

Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision

Haoyang Li, Guanlin Li, Youhe Feng, Chen Zhao, Zhuoran Wang, Yang Li, et al.

Cross-embodiment transfer in vision-language-action (VLA) models remains challenging because low-level state and action spaces differ fundamentally across robot platforms. We observe that the high-level cognitive process underlying manipulation, including scene perception, object…

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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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