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ORCIDBeichen Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j7]Beichen Zhang
, Junzhi Liu, Bin Zhang, Dawei Xiao, Min Chen:
A web-based tool for watershed delineation considering lakes and reservoirs. Environ. Model. Softw. 183: 106232 (2025)- 2024
- [c14]Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan:
Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach. CVPR 2024: 5662-5671 - [i18]Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan:
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach. CoRR abs/2403.11380 (2024) - [i17]Beichen Zhang, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Jiaqi Wang:
Long-CLIP: Unlocking the Long-Text Capability of CLIP. CoRR abs/2403.15378 (2024) - [i16]Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen:
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. CoRR abs/2405.14365 (2024) - [i15]Tirthankar Roy, Shivendra Srivastava, Beichen Zhang:
Reinforcement Learning for Sociohydrology. CoRR abs/2405.20772 (2024) - [i14]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:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i13]Beichen Zhang, Liang Li, Zheng-Jun Zha, Jiebo Luo, Qingming Huang:
Downstream-Pretext Domain Knowledge Traceback for Active Learning. CoRR abs/2407.14720 (2024) - [i12]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:
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. CoRR abs/2409.12122 (2024) - 2023
- [c13]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. EMNLP (Findings) 2023: 14777-14790 - [c12]Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. KDD 2023: 5660-5672 - [c11]Shuhan Kong, Liang Li, Beichen Zhang, Wenyu Wang, Bin Jiang, Chenggang Yan, Changhao Xu:
Dynamic Contrastive Learning with Pseudo-samples Intervention for Weakly Supervised Joint Video MR and HD. ACM Multimedia 2023: 538-546 - [c10]Yiting Liu, Liang Li, Beichen Zhang, Shan Huang, Zheng-Jun Zha, Qingming Huang:
MaTCR: Modality-Aligned Thought Chain Reasoning for Multimodal Task-Oriented Dialogue Generation. ACM Multimedia 2023: 5776-5785 - [c9]Beichen Zhang, Kun Zhou, Xilin Wei, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. NeurIPS 2023 - [i11]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:
A Survey of Large Language Models. CoRR abs/2303.18223 (2023) - [i10]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. CoRR abs/2305.14323 (2023) - [i9]Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. CoRR abs/2306.02408 (2023) - [i8]Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. CoRR abs/2306.11027 (2023) - 2022
- [j6]Beichen Zhang, Yue Bao:
Cross-Dataset Learning for Age Estimation. IEEE Access 10: 24048-24055 (2022) - [j5]Beichen Zhang, Yue Bao:
Age Estimation of Faces in Videos Using Head Pose Estimation and Convolutional Neural Networks. Sensors 22(11): 4171 (2022) - [j4]Jincan Deng, Liang Li, Beichen Zhang, Shuhui Wang, Zhengjun Zha, Qingming Huang:
Syntax-Guided Hierarchical Attention Network for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 32(2): 880-892 (2022) - [c8]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) 2022: 6120-6130 - [c7]Yiting Liu, Liang Li, Beichen Zhang, Qingming Huang:
Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation. EMNLP (Findings) 2022: 3106-3117 - [c6]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD 2022: 4571-4581 - [i7]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. CoRR abs/2205.00656 (2022) - [i6]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. CoRR abs/2206.06315 (2022) - [i5]Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, Tsegaye Tadesse:
Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter. CoRR abs/2211.02768 (2022) - [i4]Beichen Zhang, Huiqi Wang, Amani Alabri, Karol Bot, Cole McCall, Dale A. Hamilton, Vít Ruzicka:
Unsupervised Wildfire Change Detection based on Contrastive Learning. CoRR abs/2211.14654 (2022) - [i3]Beichen Zhang, Frank Schilder, Kelly Helm Smith, Michael J. Hayes, Sherri K. Harms, Tsegaye Tadesse:
TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data. CoRR abs/2212.04001 (2022) - 2021
- [c5]Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang:
Rethinking Graph Neural Architecture Search From Message-Passing. CVPR 2021: 6657-6666 - [i2]Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang:
Rethinking Graph Neural Network Search from Message-passing. CoRR abs/2103.14282 (2021) - 2020
- [j3]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:
Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States. Remote. Sens. 12(21): 3605 (2020) - [c4]Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang:
State-Relabeling Adversarial Active Learning. CVPR 2020: 8753-8762 - [c3]Beichen Zhang, Liang Li, Li Su, Shuhui Wang, Jincan Deng, Zheng-Jun Zha, Qingming Huang:
Structural Semantic Adversarial Active Learning for Image Captioning. ACM Multimedia 2020: 1112-1121 - [i1]Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang:
State-Relabeling Adversarial Active Learning. CoRR abs/2004.04943 (2020)
2010 – 2019
- 2016
- [c2]Beichen Zhang, Runjiang Dou, Liyuan Liu, Nanjian Wu:
A 91.2dB SNDR 66.2fJ/conv. dynamic amplifier based 24kHz ΔΣ modulator. A-SSCC 2016: 317-320 - [c1]Hao Sheng, Beichen Zhang, Yan Huang, Yanwei Zheng, Zhang Xiong:
Discriminative dictionary learning sparse coding for person re-identification. Intelligent Vehicles Symposium 2016: 1338-1343 - 2015
- [j2]Yanwei Zheng, Hao Sheng, Beichen Zhang, Jun Zhang, Zhang Xiong:
Weight-based sparse coding for multi-shot person re-identification. Sci. China Inf. Sci. 58(10): 1-15 (2015) - 2011
- [j1]Xinbo Gao, Rong Fu, Xuelong Li, Dacheng Tao, Beichen Zhang, Huigen Yang:
Aurora image segmentation by combining patch and texture thresholding. Comput. Vis. Image Underst. 115(3): 390-402 (2011)
Coauthor Index
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