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ORCIDZhen Yang 0034
Person information
Other persons with the same name
- Zhen Yang — disambiguation page
- Zhen Yang 0001
![[0000-0002-4400-3823]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4400-3823")
— Nanjing University of Posts and Telecommunications, Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China (and 1 more) - Zhen Yang 0002 — The Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, MD, USA
- Zhen Yang 0003 — Beijing Institute of Technology, School of Computer Science and Technology, China
- Zhen Yang 0004 — Beijing University of Technology, College of Computer Science, China (and 1 more)
- Zhen Yang 0005 — Xinyang Normal University, School of Physics and Electronic Engineering / Key Laboratory of Microelectronics and Energy of Henan Province, China
- Zhen Yang 0006 — University of Waterloo, Ontario, Canada (and 1 more)
- Zhen Yang 0007 — University of Chinese Academy of Sciences, China (and 1 more)
- Zhen Yang 0008 — Huawei, Shanghai, China
- Zhen Yang 0009 — Zhejiang University, Hangzhou, China
- Zhen Yang 0010 — Anhui University, School of Computer Science and Technology, Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China
- Zhen Yang 0011
- Zhen Yang 0012
- Zhen Yang 0013
- Zhen Yang 0014
- Zhen Yang 0015
- Zhen Yang 0016
- Zhen Yang 0017
- Zhen Yang 0018
- Zhen Yang 0019
- Zhen Yang 0020
- Zhen Yang 0021
- Zhen Yang 0022
- Zhen Yang 0023
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- Zhen Yang 0025
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- Zhen Yang 0049
- Zhen Yang 0050
- Zhen Yang 0051 — Walmart Global Technology, Sunnyvale, USA
- Zhen Yang 0052
- Zhen Yang 0053
- Zhen Yang 0054
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- Zhen Yang 0056
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Journal Articles
- 2024
[j2]Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5692-5711 (2024)- 2023
- [j1]Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang:
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 6264-6277 (2023)
Conference and Workshop Papers
- 2024
- [c6]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI 2024: 9269-9277 - 2023
- [c5]Weihan Wang, Zhen Yang, Bin Xu, Juanzi Li, Yankui Sun:
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation. ICCV 2023: 3135-3146 - [c4]Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD 2023: 3057-3069 - 2022
- [c3]Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang:
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. WWW 2022: 3217-3228 - 2021
- [c2]Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang:
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. KDD 2021: 665-674 - 2020
- [c1]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676
Informal and Other Publications
- 2025
- [i11]Kai Sun, Yushi Bai, Zhen Yang, Jiajie Zhang, Ji Qi, Lei Hou, Juanzi Li:
Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models. CoRR abs/2505.20152 (2025) - [i10]Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang:
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. CoRR abs/2507.01006 (2025) - 2024
- [i9]Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. CoRR abs/2402.11855 (2024) - [i8]Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR abs/2402.17238 (2024) - [i7]Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang:
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR abs/2406.12793 (2024) - [i6]Zhen Yang, Jinhao Chen, Zhengxiao Du, Wenmeng Yu, Weihan Wang, Wenyi Hong, Zhihuan Jiang, Bin Xu, Yuxiao Dong, Jie Tang:
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model. CoRR abs/2409.13729 (2024) - [i5]Zhihuan Jiang, Zhen Yang, Jinhao Chen, Zhengxiao Du, Weihan Wang, Bin Xu, Yuxiao Dong, Jie Tang:
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning. CoRR abs/2409.13730 (2024) - 2023
- [i4]Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR abs/2306.03355 (2023) - [i3]Weihan Wang, Zhen Yang, Bin Xu, Juanzi Li, Yankui Sun:
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation. CoRR abs/2308.16689 (2023) - [i2]Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang:
GPT Can Solve Mathematical Problems Without a Calculator. CoRR abs/2309.03241 (2023) - 2020
- [i1]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020)
Coauthor Index
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