Aoran Wang

According to our database, Aoran Wang authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

Fetatrack: Foreground-aware dynamic template co-evolution for visual object tracking.

Yibing Zhang, Xuan Wang, Yongchao Song, Weiqing Yan, Aoran Wang, Zhe Dai

Vis. Comput., April, 2026

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations.

Pengze Li, Jiaquan Zhang, Yunbo Long, Xinping Liu, Zhou Wenjie, Encheng Su, Zihang Zeng, Jiaqi Liu, Jiyao Liu, Junchi Yu, Lihao Liu, Philip Torr, Shixiang Tang, Aoran Wang, Xi Chen

CoRR, April, 2026

SciIF: Benchmarking Scientific Instruction Following Towards Rigorous Scientific Intelligence.

Encheng Su, Jianyu Wu, Chen Tang, Lintao Wang, Pengze Li, Aoran Wang, Jinouwen Zhang, Yizhou Wang, Yuan Meng, Xinzhu Ma, Shixiang Tang, Houqiang Li

CoRR, January, 2026

Reward Model Evaluation via Automatically-Ranked Policy Alignment.

Aoran Wang, Lei Ou, Yang Yu, Zongzhang Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.

Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.

Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou

CoRR, September, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery.

Jiaqi Liu, Songning Lai, Pengze Li, Di Yu, Wenjie Zhou, Yiyang Zhou, Peng Xia, Zijun Wang, Xi Chen, Shixiang Tang, Lei Bai, Wanli Ouyang, Mingyu Ding, Huaxiu Yao, Aoran Wang

CoRR, August, 2025

From Sequence to Structure: Uncovering Substructure Reasoning in Transformers.

Xinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang

CoRR, July, 2025

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models.

Lintao Wang, Encheng Su, Jiaqi Liu, Pengze Li, Peng Xia, Jiabei Xiao, Wenlong Zhang, Xinnan Dai, Xi Chen, Yuan Meng, Mingyu Ding, Lei Bai, Wanli Ouyang, Shixiang Tang, Aoran Wang, Xinzhu Ma

CoRR, June, 2025

Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection.

Hanzhe Liang, Aoran Wang, Jie Zhou, Xin Jin, Can Gao, Jinbao Wang

CoRR, May, 2025

Global fusion network for remote sensing object detection.

Aoran Wang, Xuan Wang, Yongchao Song, Zhe Dai, Haigen Min

Knowl. Based Syst., 2025

Identification of Modal Parameters Using an Improved Sparse Blind Source Separation Method.

Gang Yu, Aoran Wang

IEEE Access, 2025

Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms.

Aoran Wang, Xinnan Dai, Jun Pang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Kolmogorov-Arnold Network for Gene Regulatory Network Inference.

Tsz Pan Tong, Aoran Wang, George Panagopoulos, Jun Pang

Proceedings of the Computational Methods in Systems Biology, 2025

2024

Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data.

Tsz Pan Tong, Aoran Wang, George Panagopoulos, Jun Pang

CoRR, 2024

Wavelet-Enhanced Time-Frequency Analysis Method for Bearing Fault Detection of Rotating Machinery.

Gang Yu, Haoran Dong, Wenkai Wang, Aoran Wang, Mingxu Sun, Feng Li

IEEE Access, 2024

Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data.

Aoran Wang, Tsz Pan Tong, Andrzej Mizera, Jun Pang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Structural Inference of Dynamical Systems with Conjoined State Space Models.

Aoran Wang, Jun Pang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Structural Inference with Dynamics Encoding and Partial Correlation Coefficients.

Aoran Wang, Jun Pang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review.

Xuan Wang, Aoran Wang, Jinglei Yi, Yongchao Song, Abdellah Chehri

Remote. Sens., July, 2023

Effective and Efficient Structural Inference with Reservoir Computing.

Aoran Wang, Tsz Pan Tong, Jun Pang

Proceedings of the International Conference on Machine Learning, 2023

Active Learning based Structural Inference.

Aoran Wang, Jun Pang

Proceedings of the International Conference on Machine Learning, 2023

Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract).

Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Iterative Structural Inference of Directed Graphs.

Aoran Wang, Jun Pang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Anomaly information detection and fault tolerance control method for CAN-FD bus network.

Aoran Wang, Jie Fang, Yinan Xu, Yihu Xu, Yubing Wang, Yujing Wu, Jin-Gyun Chung

Proceedings of the 19th International SoC Design Conference, 2022

2020

ViPNet: An End-to-End 6D Visual Camera Pose Regression Network.

Haohao Hu, Aoran Wang, Marc Sons, Martin Lauer

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020