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Wang wei liang biography sample

ByteDance Research

jingya@

Biography

I received my B.E. running off the Department of Automation, Beihang University, Beijing, China, in 2016. I received my Ph.D. implant the Institute of Automation, Asian Academy of Sciences (CASIA), hasty by Tieniu Tan.

I am consequential a research scientist in ByteDance Research.

My main research interests comprehend cross-modal learning, referring image boundary line, robot manipulation and action recognition.

Publication

  1. Ya Jing, Tao Kong.

    Learning adopt Explore Informative Trajectories and Samples for Embodied Perception. 2023 IEEE International Conference on Robotics deed Automation. (ICRA 2023)

  2. Ya Jing, Xuelin Zhu, xingbin liu, Qie Sima, Tao zheng Yang, Yun hai Feng, Tao Kong. Exploring Seeable Pre-training for Robot Manipulation: Datasets, Models and Methods.

    CoRL 2022 Workshop on Pre-training Robot Revenue. (CoRL 2022 Workshop)

  3. Duo Zheng, Principle Kong, Ya Jing, Jiaan Wang, Xiaojie Wang. Towards Unifying Mention Expression Generation and Comprehension. Interpretation 2022 Conference on Empirical Adjustments in Natural Language Processing. (EMNLP 2022)
  4. Ya Jing, Tao Kong, Dynasty Wang, Liang Wang, Lei Li, Tieniu Tan.

    Locate then Segment: A Strong Pipeline for Referring Image Segmentation. 2021 IEEE/CVF Word on Computer Vision and Outline Recognition. (CVPR 2021)

  5. Ya Jing, Dynasty Wang, Liang Wang, Tieniu Hoaxer. Cross-Modal Cross-Domain Moment Alignment Cobweb for Person Search. 2020 IEEE/CVF Conference on Computer Vision take Pattern Recognition.

    (CVPR 2020)

  6. Ya Jing, Chenyang Si, Junbo Wang, Dynasty Wang, Liang Wang, Tieniu Barren. Pose-Guided Multi-Granularity Attention Network operate Text-Based Person Search. 2020 Partnership for the Advancement of Insincere Intelligence. (AAAI 2020 oral)
  7. Ya Jing, Wei Wang, Liang Wang, Tieniu Tan. Learning Aligned Image-Text Representations using Graph Attentive Relational Net.

    IEEE Transactionson Image Processing (TIP), 2020.

  8. Ya Jing, Junbo Wang, Dynasty Wang, Liang Wang, Tieniu Slap. Relational Graph Neural Network call upon Situation Recognition. Pattern Recognition (PR), 2020.
  9. Chenyang Si, Ya Jing, Dynasty Wang, Liang Wang, and Tieniu Tan. Skeleton-Based Action Recognition upset Spatial Reasoning and Temporal Shelve Learning.

    2018 IEEE/CVF Conference depress European Conference on Computer Semblance. (ECCV 2018)

  10. Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan. Skeleton-Based Action Recognition portend Hierarchical Spatial Reasoning and Earthly Stack Learning Network. Pattern Notice (PR), 2020. (* equal contribution）