Biography

Currently， I am a researcher in Bytedance Seed Team. I received my Master Degree from Sun Yat-sen University in 06/2020. I was advised by Prof. Guanbin Li and Liang Lin at Human Cyber Physical Intelligence Integration Lab. I was a research intern of Department of Computer Vision Technology (VIS), Baidu Inc from 11/2019-06/2020. I received my B.Sc. Degree from Shantou University in 06/2017.

Email: wujie10558@gmail.com

New!

2024.09: Two papers are accpeted by NeurIPS 2024.
2024.07: One paper is accpeted by ACMMM 2024.
2024.03: Two papers are accpeted by ECCV 2024.
2023.07: Three papers are accpeted by ICCV 2023.
2023.02: One paper is accpeted by CVPR 2023.
2022.07: Two papers are accpeted by ECCV 2022.
2022.06: We rank first in the CVPR2022 AVA Accessibility Vision and Autonomy Challenge (CVPR2022 Workshop).
2021.12: one paper is accpeted by AAAI 2022.
2021.10: We rank first in the Action Recognition Track of the Visual Inductive Priors for Data-Efficient Computer Vision Challenges (ICCV2021 Workshop).
2021.9: One paper is accpeted by NeurIPS 2021.
2021.7: One paper is accpeted by ICCV 2021.
2021.4: One paper is accpeted by IJCAI 2021.
2021.4: We rank second in the Anomaly detection Track of the 2021 AI CITY CHALLENGE (CVPR2021 Workshop).
2020.7: Two papers are accpeted by ACMMM 2020.
2020.7: one paper is accepted by TMM.
2020.7: We rank first in the Specific Anomaly Detection Track of the 2020 CitySCENE CHALLENGE (ACMMM2020 Multimedia Grand Challenge)
2020.4: We rank first in the Anomaly detection Track of the 2020 AI CITY CHALLENGE (CVPR2020 Workshop)
2019.11: One paper is accepted by AAAI 2020.

Research Interest

AIGC/LLM: RLHF, Data-Centric AIGC, Distillation
AutoML: Data-Centric AutoML, Distillation, GAN-Oriented Compression
Computer Vision: Image Understanding; Video Unstanding; Anomaly Detction in Video
Machine Learning: Weakly supervised learning; Semi supervised learning; Self supervised learning; Active learning; Reinforcement Learning
Multimedia: Multimodal Generation, Visual Captioning; Temporal Langugage Grounding

Publications

Jiacheng Zhang¹, Jie Wu^1†, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Min Zheng, Lean Fu, Guanbin Li. UniFL: Improve Stable Diffusion via Unified Feedback Learning. (NeurIPS-2024) [pdf].
Yuxi Ren¹, Jie Wu^1†, Yanzuo Lu¹, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu. ByteEdit: Boost, Comply and Accelerate Generative Image Editing. (ECCV-2024) [pdf].
Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao. Hyper-sd: Trajectory segmented consistency model for efficient image synthesis. (NeurIPS-2024) [pdf].
Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen. ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. (ECCV-2024) [pdf].
Yuxi Ren¹, Jie Wu^1†, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui WangvMin Zheng, Xin Pan. UGC: Unified GAN Compression for Efficient Image-to-Image Translation (ICCV-2023) [pdf].
Ming Li¹, Jie Wu^1†, Xionghui Wang, Chen Chen2, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan. AlignDet: Aligning Pre-training and Fine-tuning in Object Detection (ICCV-2023) [pdf]. [Project Link].
Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji. AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. (ICCV-2023) [pdf].
Jie Qin¹, Jie Wu¹, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang. FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation. IEEE / CVF Computer Vision and Pattern Recognition Conference 2023 (CVPR-2023). [Project Link].
Jie Qin¹, Jie Wu¹, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang. Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation. European Conference on Computer Vision 2022 (ECCV-2022). [pdf], [code].
Rui Yang，Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li. ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer. European Conference on Computer Vision 2022 (ECCV-2022). [pdf], [code].
Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang. Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022). [pdf], [code].
ShaoJie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji. Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS-2021) [pdf], [code].
Yuxi Ren¹, Jie Wu¹, Xuefeng Xiao, Jianchao Yang. Online Multi-Granularity Distillation for GAN Compression. International Conference on Computer Vision (ICCV-2021) [pdf], [code].
Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding and Liang Lin. Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. International Joint Conference on Artificial Intelligence (IJCAI-2021) [pdf].
Jie Wu, Xionghui Wang, Xuefeng Xiao, Yitong Wang. Box-level tube tracking and refinement for vehicles anomaly detection. In Proc. CVPR Workshops, (CVPRW 2021) Oral [pdf].
Jie Wu, Guanbin Li, Xiaoguang Han, and Liang Lin. Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. ACM Multimedia 2020.(ACMMM 2020)[pdf]
Jie Wu, Tianshui Chen, Lishan Huang, Guanbin Li, Ling Tian, and Liang Lin. Active Object Search. ACM Multimedia 2020.(ACMMM 2020) [pdf]
Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, and Liang Lin. Fine-Grained Image Captioning with Global-Local Discriminative Objective. IEEE Transactions on Multimedia.(TMM) [pdf], [code]
Jie Wu, Guanbin Li, Si Liu, Liang Lin. Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video. (AAAI2020) [pdf], [code]
Jie Wu, Yingying Li, Wei Zhang, Yi Wu, Xiao Tan, Hongwu Zhang, Shilei Wen, Errui Ding and Guanbin Li. Modularized Framework with Category-Sensitive Abnormal Filter for City Anomaly Detection. ACMMM2020 Multimedia Grand Challenge Track. [code]
Yingying Li, Jie Wu, Xue Bai, Xipeng Yang, Xiao Tan, Guanbin Li, Shilei Wen, Hongwu Zhang, and Errui Ding. Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly Detection. In Proc. CVPR Workshops, Seattle, WA, USA, 2020. (CVPRW 2020) Oral [pdf], [code]
Jie Wu, Tianshui Chen, hefeng Wu, Zhi Yang, Qing Wang, Liang Lin. Concrete Image Captioning by integrating Content sensitive and Global Discriminative Objective (ICME2019) [pdf], [code]
Jie Wu, Haifeng Hu, Yi Wu. Image Captioning via Semantic Guidance Attention and Consensus Selection Strategy. ACM Transactions on Multimedia Computing, Communications and Applications. (ACM-TOMM)( [pdf]
Jie Wu, Haifeng Hu, Liang Yang. Pseudo-3D Attention Transfer Network with Content-Aware Strategy for Image Captioning. ACM Transactions on Multimedia Computing, Communications and Applications.(ACM-TOMM)( [pdf]
Jie Wu, Haifeng Hu. Cascade recurrent neural network for image caption generation. Electronics Letters. [pdf]
Jie Wu, Siya Xie, Xinbao Shi, Yaowen Chen. Global-Local Feature Attention Network with Reranking Strategy for Image Caption Generation. CCCV 2017 & Optoelectronics Letters. [pdf]

Awards & Honors

2022.6: Top-1 in CVPR2022 AVA Accessibility Vision and Autonomy Challenge (CVPR2022 Workshop).
2021.10: Top-1 in the Action Recognition Track of the Visual Inductive Priors for Data-Efficient Computer Vision” challenges (ICCV2021 Workshop)
2021.4: Top-2 in the Anomaly detection Track of the 2021 AI CITY CHALLENGE (CVPR2021 Workshop)
2020.7: Top-1 in the Specific Anomaly Detection Track of the 2020 CitySCENE CHALLENGE (ACMMM2020 Multimedia Grand Challenge)
2020.4: Top-1 in the Anomaly detection Track of the 2020 AI CITY CHALLENGE (CVPR2020 Workshop)
2020: Outstanding graduates of Sun Yat-sen University (Top 5%)
2020：The Most Outstanding Intern in Baidu (only 2 recipient in the Department), 2020 Q1
2019: Graduate National Scholarship
2017: Top graduates (6 in 2000+)
2016, 2019: National Scholarship