Search results
2022. Articles 1–20. Microsoft AI, UC Berkeley - Cited by 7,744 - Machine Learning - Computer Vision - Language Models.
Xin Wang is a computer vision and language model expert who works at Microsoft Research, Redmond. She has published several papers on topics such as few-shot learning, robust contrastive learning, and large language models.
Xin Wang. Department of Computer Science and Technology, Tsinghua University. Verified email at tsinghua.edu.cn - Homepage. Multimedia Intelligence Media Big Data Mining Machine Learning.
Xin Wang is a computer vision and machine learning expert at Microsoft Research in Redmond. He works on generalizable, robust and sample-efficient learning systems for vision, autonomous driving, and robotics applications.
- Books and Book Chapters
- 2024
- 2023
- 2022
- 2021
- 2020
- 2019
- 2018 and Before
- GeneratedCaptionsTabForHeroSec
著作: 朱文武, 王鑫, 张子威. 图表征学习：迈向动态开放环境. ISBN: 978-7-121-45486-8, 电子工业出版社, 2023. Book: Wenwu Zhu, Xin Wang, Ziwei Zhang. Graph Representation Learning: Towards Dynamic and Open Environment [In Chinese]. I...Book: Qi Wu, Peng Wang, Xin Wang, Xiaodong He, Wenwu Zhu. Visual Question Answering - From Theory to Application. ISBN: 978-981-19-0963-4, Springer, 2022.Book: Wenwu Zhu, Xin Wang. Automated Machine Learning and Meta-Learning for Multimedia. ISBN: 978-3-030-88131-3, Springer, 2021.Book Chapter: Wenwu Zhu, Xin Wang, Peng Cui. Deep Learning for Learning Graph Representations. Springer, 2020.Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu. Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. ICML 2024.Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu. Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization.pdf. ICML 2024.Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan liu, Wenwu Zhu. CurBench: Curriculum Learning Benchmark. ICML 2024.Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu. VTimeLLM: Empower LLM to Grasp Video Moments. CVPR 2024.Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu. Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation. ICML 2023.Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei. Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML 2023.Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu. Joint Data-Task Generation for Auxiliary Learning. NeurIPS 2023.Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu. Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum. NeurIPS 2023.Hong Chen, Xin Wang, Chaoyu Guan, Yue Liu, Wenwu Zhu. Auxiliary Learning with Joint Task and Data Scheduling. ICML 2022.Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu. Large-Scale Graph Neural Architecture Search. ICML 2022.Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu. Graph Neural Architecture Search Under Distribution Shifts. ICML 2022.Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu. Parametric Visual Program Induction with Function Modularization. ICML 2022.Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu. Explainable Automated Graph Representation Learning with Hyperparameter Importance. ICML 2021.Chaoyu Guan, Xin Wang, Wenwu Zhu. AutoAttend: Automated Attention Representation Search. ICML 2021.Yijian Qin, Xin Wang, Zeyang Zhang, Wenwu Zhu. Graph Differentiable Architecture Search with Structure Learning. NeurIPS 2021.Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu. Disentangled Contrastive Learning on Graphs. NeurIPS 2021.Guohao Li, Xin Wang, Wenwu Zhu. Boosting Visual Question Answering with Context-aware Knowledge Aggregation. ACM Multimedia 2020.Guangyao Shen, Xin Wang, Xuguang Duan, Hongzhi Li, Wenwu Zhu. MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos. ACM Multimedia 2020.Bin Huang, Siao Tang, Guangyao Shen, Guohao Li, Xin Wang, Wenwu Zhu. Commonsense Learning: An Indispensable Path towards Human-centric Multimedia. ACM Multimedia 2020.Yaoyuan Liang, Xin Wang, Xuguang Duan, Wenwu Zhu. Multi-Modal Contextual Graph Neural Network for Text Visual Question Answering. IEEE ICPR 2020.Xin Wang, Wenwu Zhu, Chenghao Liu. Semi-supervised Deep Quantization for Cross-modal Search. ACM Multimedia 2019.Wenwu Zhu, Xin Wang, Wenpeng Zhang. AutoML and Meta-learning for Multimedia. ACM Multimedia 2019.Guohao Li, Xin Wang, Wenwu Zhu. Perceptual Visual Reasoning with Knowledge Propagation. ACM Multimedia 2019.Yue Liu, Xin Wang, Yitian Yuan, Wenwu Zhu. Cross-Modal Dual Learning for Sentence-to-Video Generation. ACM Multimedia 2019.Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang. PRRE: Personalized Relation Ranking Embedding for Attributed Networks. ACM CIKM 2018.Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester. Joint User- and Event- Driven Stable Social Event Organization. WWW 2018.Xin Wang, Steven C.H. Hoi, Chenghao Liu, Martin Ester. Interactive Social Recommendation. ACM CIKM 2017.Xin Wang, Steven C.H. Hoi, Martin Ester, Jiajun Bu, Chun Chen. Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW 2017.Xin Wang is a researcher in multimedia intelligence, media big data analysis, and machine learning. He has won several awards, published many papers, and organized tutorials on various topics.
Sep 11, 2023 · Xin Wang is a quantum information scientist and educator at HKUST (Guangzhou) and Baidu Research. He works on quantum Shannon theory, quantum machine learning, quantum algorithms, and quantum software.
Scalabel (pronounced "scalable") is a versatile and scalable annotation platform, supporting both 2D and 3D data labeling. BDD100K, one of the largest driving video datasets, is labeled with this tool. Code repository: https://github.com/scalabel/scalabel.
