基本信息

• 职称：副教授

• 电子邮箱： tingzhang@bnu.edu.cn

• 个人主页：https://hellozting.github.io/

个人简介

北京师范大学人工智能学院副教授， 2013年至2017年在微软亚洲研究院视觉计算组实习，2015年获微软学者奖学金，2017年起在微软亚洲研究院视觉计算组工作，2024年起在北京师范大学任教。主要研究领域为计算机视觉，包括内容生成（图像/3D生成），图像检索，视觉表征学习等。欢迎感兴趣的老师、研究生和本科生随时通过邮件或微信联系进行学术交流与合作。

教育背景

• 2012年—2017年 中国科学技术大学信息科学技术学院 控制科学与工程专业  博士（微软联培）

• 2008年—2012年 中国科学技术大学少年班学院 信息与计算科学专业  学士

工作经历

• 2024年2月-至今  北京师范大学人工智能学院  副教授

• 2017年7月-2024年2月 微软亚洲研究院视觉计算组 研究员/高级研究员

主要学术成果

更多最新成果详见个人主页：https://hellozting.github.io/

• Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui. Model-enhanced Vector Index. NeurIPS 2023.

• Junshu Tang, Bo Zhang, Binxin Yang, Ting Zhang, Dong Chen, Lizhuang Ma, Fang Wen. 3DFaceShop: Explicitly Controllable 3D-aware Portrait Generation. IEEE TVCG 2023.

• Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, and Dong Chen. Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior. ICCV 2023.

• Tengfei Wang*, Bo Zhang*, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo. Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion. CVPR 2023.

• Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen. Paint by Example: Exemplar-based Image Editing with Diffusion Models. CVPR 2023.

• Xiaoyi Dong*, Jianmin Bao*, Yinglin Zheng, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu. Maskclip: Masked Self-distillation advances Contrastive Language-Image Pretraining. CVPR 2023.

• Xiaoyi Dong*, Jianmin Bao*, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, and Nenghai Yu Peco. Perceptual Codebook for Bert Pre-training of Vision Transformers. AAAI 2023.

• Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, and Fang Wen. General Facial Representation Learning in a Visual-Linguistic Manner. CVPR 2022.

• Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, and Nenghai Yu. Bootstrapped Masked Autoencoders for Vision BERT Pretraining. ECCV 2022.

• Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, and Fang Wen. Cocosnet v2: Full-resolution correspondence learning for image translation. CVPR 2021 (Best paper candidate).

• Lingzhi Li*, Jianmin Bao*, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, and Baining Guo. Face X-Ray for More General Face Forgery Detection. CVPR 2020.

• Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Nanning Zheng, and Fang Wen. Group Sampling for Scale Invariant Face Detection. IEEE TPAMI 2020.

• Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, and Fang Wen. Group Sampling for Scale Invariant Face Detection. CVPR 2019.

• Guotian Xie, Kuiyuan Yang, Ting Zhang, Jingdong Wang, and Jianhuang Lai. Balanced Decoupled Spatial Sonvolution for CNNs. IEEE TNNLS 2019.

• Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, and Guo-Jun Qi. Interleaved Structured Sparse Convolutional Neural Networks. CVPR 2018.

• Jingdong Wang and Ting Zhang. Composite Quantization. IEEE TPAMI 2018.

• Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, and Jingdong Wang. Decoupled Convolutions for CNNs. AAAI 2018.

• Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen. A Survey on Learning to Hash. IEEE TPAMI. 2017.

• Ting Zhang, Guo-Jun Qi, Bin Xiao, and Jingdong Wang. Interleaved Group Convolutions. ICCV 2017.

• Xiaojuan Wang*, Ting Zhang*, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. Supervised quantization for similarity search. CVPR 2016.

• Ting Zhang and Jingdong Wang. Collaborative Quantization for Cross-Modal Similarity Search. CVPR 2016.

• Ting Zhang, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. Sparse Composite Quantization. CVPR 2015.

• Ting Zhang, Chao Du, and Jingdong Wang. Composite Quantization for Approximate Nearest Neighbor Search. ICML 2014.

学术与社会服务

• 领域主席：CVPR 2024，AAAI 2024.

• 期刊审稿人：TPAMI、IJCV、TIP、TMM等

• 会议审稿人：CVPR、ICCV、ECCV、NeurIPS、AAAI等