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Author

Zhongjiang He

Observed name: He, Zhongjiang
ORCID: 0009-0000-1835-9271
Observed ORCID: 0009-0000-1835-9271
OpenAlex ID: A5122967535
VOR-Bench: A Human Perception-Driven Benchmark for Video Object Removal
2026 · Huang, Haonan, Qiu, Tianrui, et al. · arXiv (Cornell University)
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TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
2026 · Cai, Peng, Zou, Zhaofan, et al. · arXiv (Cornell University)
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Unifying Granularity and Reliability: A Robust and Efficient Framework for Text-based Person Retrieval
2026 · Jingchen Hao, Jiang Liu, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding
2026 · Li, Hao, Fang, Han, et al. · arXiv (Cornell University)
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CRAFT: A Unified Counterfactual Reasoning Framework for Tabular Question Answering and Fact Verification
2026 · Pan, Chenshuo, Zhao, Yu, et al. · arXiv (Cornell University)
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Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation
2026 · Li, Baoteng, Zang, Xianghao, et al. · arXiv (Cornell University)
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DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents
2026 · Zhang, Qisong, Wu, Wenzhuo, et al. · arXiv (Cornell University)
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Boosting Robust AIGI Detection with LoRA-based Pairwise Training
2026 · Xia, Ruiyang, Zhang, Qi, et al. · arXiv (Cornell University)
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Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing
2026 · Yin, Zijin, Li, Bing, et al. · arXiv (Cornell University)
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Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers
2026 · Zhang, Shuo, Wu, Wenzhuo, et al. · arXiv (Cornell University)
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ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios
2026 · Pan, Changzai, Zhang, Jie, et al. · arXiv (Cornell University)
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Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
2026 · Association for Artificial Intelligence 2026, ., Bianjing, et al. · Underline Science Inc.
Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval
2026 · Association for Artificial Intelligence 2026, Ban, Chao, et al. · Underline Science Inc.
Table-R1: Region-based Reinforcement Learning for Table Understanding
2026 · Zhenhe Wu, Jian Yang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Works count: 14
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