Research
Conference Papers:
- Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
ICLR 2024 | Paper | Code
- Patch-level Contrastive Learning via Positional Query for Visual Pre-training
Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan
ICML 2023 | Paper | Code
- Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
ICLR 2023 | Paper | Code
- Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
ICLR 2023 | Paper | Code
- Self-supervised Learning of Visual Graph Matching
Chang Liu*, Shaofeng Zhang*, Junchi Yan, Xiaokang Yang
ECCV 2022 (* equal contribution) | Paper | Code
- M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning
Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Pinyan Lu, Xiaokang Yang
KDD 2022 | Paper | Code
- Align Representations with Base: A New Approach to Self-Supervised Learning
Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang
CVPR 2022 | Paper | Code
- Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
ICLR 2022 | Paper | Code
- The Diversified Ensemble Neural Network
Shaofeng Zhang, Meng Liu, Junchi Yan
NeurIPS 2020 | Paper
- Fooled by Imagination: Adversarial Attack to Image Captioning Via Perturbation in Complex Domain
Shaofeng Zhang*, Zheng Wang*, Xing Xu, Xiang Guan, Yang Yang
ICME 2020 oral (* equal contribution) | Paper
Arxiv preprint:
- DOTIN: Dropping Task-Irrelevant Nodes for GNNs
Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
arXiv:2204.13429 | Paper
Working Experience
Research intern at Sensetime Research. (Jul. 2021 to Oct. 2022)
Explore the representation learning and general self-supervised learning.
Research intern at Tencent. (Feb. 2021 to May. 2021)
Worked on improving the generalization ability of unsupervised classification and detection.
Research intern at SmartMore. (Jul. 2020 to Sep. 2020)
Worked on general represetantion learning.
Research intern at Microsoft Research. (Jan. 2020 to Jul. 2020)
Contributed to the AI education book, github project and video.
Services
PC member/Reviewer: CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML.