Zhengqing Yuan

35 papers A* 2B 1Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation. AAAI Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
2026	J	`jnl`	CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era. CoRR Zhengqing Yuan, Kaiwen Shi, Zheyuan Zhang, Lichao Sun, Nitesh V. Chawla, Yanfang Ye
2026	J	`jnl`	Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction. CoRR Han Bao, Zheyuan Zhang, Pengcheng Jing, Zhengqing Yuan, Kaiwen Shi, Yanfang Ye
2026	—	`conf`	Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. EACL (Findings) Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine. CoRR Kai Zhang, Zhengqing Yuan, Cheng Peng, Songlin Zhao, Mengxian Lyu, Ziyi Chen, Yanfang Ye, Wei Liu, Ying Zhang, Kaleb E. Smith, Lifang He, Lichao Sun, Yonghui Wu
2026	—	`conf`	NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. EACL (Volume 1: Long Papers) Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation. Medical Image Anal. Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang, Huichi Zhou, Zhengqing Yuan, Zhifan Gao, Lei Zhu, Giorgos Papanastasiou, Yingying Fang, Guang Yang
2026	A*	`conf`	Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions. AAAI Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun
2025	J	`jnl`	3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation. CoRR Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
2025	J	`jnl`	AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering. CoRR Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models. CoRR Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye
2025	J	`jnl`	ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions. CoRR Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	J	`jnl`	EfficientLLM: Efficiency in Large Language Models. CoRR Zhengqing Yuan, Weixiang Sun, Yixin Liu, Huichi Zhou, Rong Zhou, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye
2025	J	`jnl`	Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata. CoRR Zhengqing Yuan, Yiyang Li, Weixiang Sun, Zheyuan Zhang, Kaiwen Shi, Keerthiram Murugesan, Yanfang Ye
2025	J	`jnl`	Graph Foundation Models: A Comprehensive Survey. CoRR Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. CoRR Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. CoRR Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation. CoRR Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang, Huichi Zhou, Zhengqing Yuan, Zhifan Gao, Lei Zhu, Giorgos Papanastasiou, Yingying Fang, Guang Yang
2024	J	`jnl`	Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. CoRR Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun
2024	J	`jnl`	Bora: Biomedical Generalist Video Generation Model. CoRR Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun
2024	J	`jnl`	Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models. CoRR Yunhong He, Jianling Qiu, Wei Zhang, Zhengqing Yuan
2024	J	`jnl`	MLP-KAN: Unifying Deep Representation and Function Learning. CoRR Yunhong He, Yifeng Xie, Zhengqing Yuan, Lichao Sun
2024	J	`jnl`	Mora: Enabling Generalist Video Generation via A Multi-Agent Framework. CoRR Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun
2024	J	`jnl`	Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
2024	J	`jnl`	Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun
2024	J	`jnl`	TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. CoRR Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun
2024	J	`jnl`	ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun
2023	J	`jnl`	ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4. CoRR Zhengqing Yuan, Huiwen Xue, Xinyi Wang, Yongming Liu, Zhuanzhe Zhao, Kun Wang
2023	J	`jnl`	Auto-Learning: An Adversarial Process of Two Pre-trained Models for Natural Language Generation. CoRR Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yuelin Lu
2023	J	`jnl`	Effective acoustic parameters for automatic classification of performed and synthesized Guzheng music. EURASIP J. Audio Speech Music. Process. Huiwen Xue, Chenxin Sun, Mingcheng Tang, Chenrui Hu, Zhengqing Yuan, Min Huang, Zhongzhe Xiao
2023	—	`conf`	Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. IntelliSys (1) Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu
2023	J	`jnl`	Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems. CoRR Zhengqing Yuan, Huiwen Xue, Chao Zhang, Yongming Liu
2023	B	`conf`	RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. SMC Zhengqing Yuan, Xiaolong Zhang, Yue Wang, Xuecong Hou, Huiwen Xue, Zhuanzhe Zhao, Yongming Liu
2023	J	`jnl`	TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones. CoRR Zhengqing Yuan, Zhaoxu Li, Lichao Sun
2022	J	`jnl`	RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. CoRR Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang