Zilong Zheng

Research Scientist at BIGAI

Email: z.zheng[at]ucla[dot]edu

I am a research scientist and team lead at Beijing Institute of General Artificical Intelligence (BIGAI).

I received my Ph.D. degree from the Department of Computer Science at University of California, Los Angeles (UCLA), under the supervision of Prof. Song-chun Zhu. Before that, I obtained bachelor degree of Computer Science at University of Minnesota. I also received B.E. degree from University of Electronic Science and Technology of China (UESTC). My research interests lie in statistical machine learning algorithms and multimodal conversation modeling.

News

2022/01 One paper is accepted in ICLR’22 as an Oral paper!
2021/12 One paper is accepted for Oral presentation in AAAI’22!
2021/05 I am awarded as CVPR Outstanding Reviewer for CVPR’21.
2021/03 Three papers are accepted in CVPR’21, including two Oral papers!

Publications

*: Equal contribution

Latest

  1. Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling Oral ICLR'22
    Bo Wan, Wenjuan Han, Zilong Zheng, and Tinne Tuytelaars
    The Tenth International Conference on Learning Representations (ICLR) , 2022

2022

  1. Energy-Based Generative Cooperative Saliency Prediction Oral AAAI'22
    Jing Zhang, Jianwen Xie, Zilong Zheng, and Nick Barnes
    The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) , 2022

2021

  1. Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning TPAMI
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2021
  2. Learning Triadic Belief Dynamics in Nonverbal Communication from Videos Oral CVPR'21
    In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) , 2021
  3. Patchwise Generative ConvNet: Training Energy-Based Models from a Single Natural Image for Internal Learning Oral CVPR'21
    Zilong Zheng, Jianwen Xie, and Ping Li
    In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) , 2021
  4. Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR'21
    In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) , 2021
  5. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning ACL'21
    Findings of ACL, ACL-IJCNLP , 2021
  6. Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI'21
    Jianwen Xie, Zilong Zheng, and Ping Li
    The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) , 2021
  7. Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI'21
    The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) , 2021

2020

  1. Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis TPAMI
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2020
  2. Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs ICRA'20
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , 2020
  3. Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns Oral AAAI'20
    The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) , 2020

2019

  1. Reasoning Visual Dialogs with Structural and Partial Observations Oral CVPR'19
    Zilong Zheng*, Wenguan Wang*, Siyuan Qi*, and Song-Chun Zhu
    In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) , 2019
  2. Learning Dynamic Generator Model by Alternating Back-Propagation Through Time Spotlight AAAI'19
    The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) , 2019

2018

  1. Learning Descriptor Networks for 3D Shape Synthesis and Analysis Oral CVPR'18
    In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) , 2018

Professional Services

  • Conference reviewer for ICML 2022; ICLR 2022; CVPR 2019-2022; NeurIPS 2020-2021; AAAI 2020-2022; ICCV 2019-2021; ECCV 2020; BMVC 2020; WACV 2021
  • Journal reviewer for International Journal of Computer Vision (IJCV), Pattern Recognition (PR), Neurocomputing