Chenyang Shao

According to our database, Chenyang Shao authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LiveFigure: Generating Editable Scientific Illustration with VLM Agents.

Chenyang Shao, Jiahe Liu, Fengli Xu, Yong Li

CoRR, May, 2026

Targeted Exploration via Unified Entropy Control for Reinforcement Learning.

Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Ge Lan, Yue Wang

CoRR, April, 2026

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery.

Yu Li, Chenyang Shao, Xinyang Liu, Ruotong Zhao, Peijie Liu, Hongyuan Su, Zhibin Chen, Qinglong Yang, Anjie Xu, Yi Fang, Qingbin Zeng, Tianxing Li, Jingbo Xu, Fengli Xu, Yong Li, Tie-Yan Liu

CoRR, April, 2026

SciNetBench: A Relation-Aware Benchmark for Scientific Literature Retrieval Agents.

Chenyang Shao, Yong Li, Fengli Xu

CoRR, January, 2026

Route-and-Reason: Energy-Efficient Scaling of LLM Reasoning via Reinforced Model Routing.

Chenyang Shao, Xinyang Liu, Yutang Lin, Fengli Xu, Yong Li

Proceedings of the ACM Web Conference 2026, 2026

Generating Realistic Human Mobility Data with Hybrid Large Language Model Agent.

Chenyang Shao, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Fengli Xu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists.

Chenyang Shao, Dehao Huang, Yu Li, Keyu Zhao, Weiquan Lin, Yining Zhang, Qingbin Zeng, Zhiyu Chen, Tianxing Li, Yifei Huang, Taozhong Wu, Xinyang Liu, Ruotong Zhao, Mengsheng Zhao, Jiaoyang Li, Xuhua Zhang, Yue Wang, Yuanyi Zhen, Fengli Xu, Yong Li, Tie-Yan Liu

CoRR, November, 2025

Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning.

Chenyang Shao, Sijian Ren, Fengli Xu, Yong Li

CoRR, October, 2025

Simulating Generative Social Agents via Theory-Informed Workflow Design.

Yuwei Yan, Jinghua Piao, Xiaochong Lan, Chenyang Shao, Pan Hui, Yong Li

CoRR, August, 2025

Deep Learning-Based Millimeter Wave Beam Recommendation via Channel Knowledge Map.

Chenyang Shao, Chunshan Liu, Lou Zhao, Min Li, Xiaoshuai Zhang, Minhong Sun

IEEE Wirel. Commun. Lett., June, 2025

AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text.

Chenyang Shao, Tianxing Li, Chenhao Pu, Fengli Xu, Yong Li

CoRR, June, 2025

EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework.

Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Yue Wang, Yuzhi Zhang

CoRR, June, 2025

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router.

Chenyang Shao, Xinyang Liu, Yutang Lin, Fengli Xu, Yong Li

CoRR, June, 2025

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li

CoRR, January, 2025

Toward large reasoning models: A survey of reinforced reasoning with large language models.

Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li

Patterns, 2025

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents.

Chenyang Shao, Xinyuan Hu, Yutang Lin, Fengli Xu

Proceedings of the ACM on Web Conference 2025, 2025

2024

GFSPX: an efficient lightweight block cipher for resource-constrained IoT nodes.

Xing Zhang, Chenyang Shao, Tianning Li, Ye Yuan, Changda Wang

J. Supercomput., November, 2024

A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning.

Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li

CoRR, 2024

Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models.

Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Yong Li

CoRR, 2024

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation.

Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Spatio-temporal Diffusion Point Processes.

Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Adaptive Control of Robot Series Elastic Drive Joint Based on Optimized Radial Basis Function Neural Network.

Nianfeng Shao, Qinyuan Zhou, Chenyang Shao, Yan Zhao

Int. J. Soc. Robotics, 2021