Beichen Zhang

According to our database, Beichen Zhang authored at least 33 papers between 2011 and 2025.

Collaborative distances:

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

2025

A web-based tool for watershed delineation considering lakes and reservoirs.

Beichen Zhang, Junzhi Liu, Bin Zhang, Dawei Xiao, Min Chen

Environ. Model. Softw., 2025

2024

Inductive State-Relabeling Adversarial Active Learning With Heuristic Clique Rescaling.

Beichen Zhang, Liang Li, Shuhui Wang, Shaofei Cai, Zheng-Jun Zha, Qi Tian, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Downstream-Pretext Domain Knowledge Traceback for Active Learning.

Beichen Zhang, Liang Li, Zheng-Jun Zha, Jiebo Luo, Qingming Huang

IEEE Trans. Multim., 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang

CoRR, 2024

YuLan: An Open-source Large Language Model.

Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen

CoRR, 2024

Reinforcement Learning for Sociohydrology.

Tirthankar Roy, Shivendra Srivastava, Beichen Zhang

CoRR, 2024

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models.

Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen

CoRR, 2024

Long-CLIP: Unlocking the Long-Text Capability of CLIP.

Beichen Zhang, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Jiaqi Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach.

Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Survey of Large Language Models.

Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen

CoRR, 2023

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning.

Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MaTCR: Modality-Aligned Thought Chain Reasoning for Multimodal Task-Oriented Dialogue Generation.

Yiting Liu, Liang Li, Beichen Zhang, Shan Huang, Zheng-Jun Zha, Qingming Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dynamic Contrastive Learning with Pseudo-samples Intervention for Weakly Supervised Joint Video MR and HD.

Shuhan Kong, Liang Li, Beichen Zhang, Wenyu Wang, Bin Jiang, Chenggang Yan, Changhao Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.

Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu

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

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.

Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Syntax-Guided Hierarchical Attention Network for Video Captioning.

Jincan Deng, Liang Li, Beichen Zhang, Shuhui Wang, Zhengjun Zha, Qingming Huang

IEEE Trans. Circuits Syst. Video Technol., 2022

Age Estimation of Faces in Videos Using Head Pose Estimation and Convolutional Neural Networks.

Beichen Zhang, Yue Bao

Sensors, 2022

TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data.

Beichen Zhang, Frank Schilder, Kelly Helm Smith, Michael J. Hayes, Sherri K. Harms, Tsegaye Tadesse

CoRR, 2022

Unsupervised Wildfire Change Detection based on Contrastive Learning.

Beichen Zhang, Huiqi Wang, Amani Alabri, Karol Bot, Cole McCall, Dale A. Hamilton, Vít Ruzicka

CoRR, 2022

Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter.

Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, Tsegaye Tadesse

CoRR, 2022

Cross-Dataset Learning for Age Estimation.

Beichen Zhang, Yue Bao

IEEE Access, 2022

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.

Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation.

Yiting Liu, Liang Li, Beichen Zhang, Qingming Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Debiased Contrastive Learning of Unsupervised Sentence Representations.

Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Rethinking Graph Neural Network Search from Message-passing.

Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang

CoRR, 2021

Rethinking Graph Neural Architecture Search From Message-Passing.

Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States.

Tsegaye Tadesse, David Y. Hollinger, Yared A. Bayissa, Mark Svoboda, Brian Fuchs, Beichen Zhang, Getachew Demissie, Brian D. Wardlow, Gil Bohrer, Kenneth L. Clark, Ankur R. Desai, Lianhong Gu, Asko Noormets, Kimberly A. Novick, Andrew D. Richardson

Remote. Sens., 2020

Structural Semantic Adversarial Active Learning for Image Captioning.

Beichen Zhang, Liang Li, Li Su, Shuhui Wang, Jincan Deng, Zheng-Jun Zha, Qingming Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

State-Relabeling Adversarial Active Learning.

Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2016

Discriminative dictionary learning sparse coding for person re-identification.

Hao Sheng, Beichen Zhang, Yan Huang, Yanwei Zheng, Zhang Xiong

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

A 91.2dB SNDR 66.2fJ/conv. dynamic amplifier based 24kHz ΔΣ modulator.

Beichen Zhang, Runjiang Dou, Liyuan Liu, Nanjian Wu

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2016

2015

Weight-based sparse coding for multi-shot person re-identification.

Yanwei Zheng, Hao Sheng, Beichen Zhang, Jun Zhang, Zhang Xiong

Sci. China Inf. Sci., 2015

2011

Aurora image segmentation by combining patch and texture thresholding.

Xinbo Gao, Rong Fu, Xuelong Li, Dacheng Tao, Beichen Zhang, Huigen Yang

Comput. Vis. Image Underst., 2011