Yulei Niu is a Research Scientist at ByteDance.
He was a Postdoctoral Research Scientist at Columbia University working with Prof. Shih-Fu Chang,
and a Postdoctoral Research Fellow at Nanyang Technological University working with Prof. Hanwang Zhang.
He obtained his Ph.D. at Renmin University of China in 2020, advised by Prof. Ji-Rong Wen and Prof. Zhiwu Lu.
Prior to the Ph.D. study, Yulei received B.E. degree in Computer Science from Renmin University of China in 2015.
| [08/2024] | I serve as Area Chair for ICLR 2025. |
| [05/2024] | I serve as Area Chair for BMVC 2024 and Senior PC Member for AAAI 2025. |
| [01/2024] | I serve as Area Chair for ACM MM 2024. |
| [12/2023] | I serve as Senior PC Member for IJCAI 2024. |
| [06/2023] | I serve as Senior PC Member for AAAI 2024. |
| [03/2023] | I serve as Area Chair for BMVC 2023. |
| [10/2022] | I was recognized as a top reviewer for NeurIPS 2022. |
| [07/2022] | I serve as Area Chair for BMVC 2022 and Senior PC Member for AAAI 2023. |
| [04/2022] | We are co-organizing the workshop on 2nd Causality in Vision at ECCV 2022 and calling for papers! |
| [01/2022] | I was honored to be awarded the China Computer Federation (CCF) Outstanding Doctoral Dissertation Award. |
| [09/2021] | I was recognized as an outstanding reviewer for ICCV 2021. |
| [03/2021] | I was recognized as an outstanding reviewer for ICLR 2021. |
| [12/2020] | We are co-organizing the workshop on Causality in Vision at CVPR 2021. |
| [11/2020] | I serve as Senior PC Member for IJCAI 2021. |
| ECCV 2024 |
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos Ali Zare, Yulei Niu, Hammad Ayyubi, Shih-fu Chang [Paper] |
| ICLR 2024 |
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang [Paper] [Code] |
| AAAI 2024 |
Beyond Grounding: Extracting Fine-Grained Event Hierarchies Across Modalities Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang, [Paper] |
| ICCV 2023 |
Prompt-aligned Gradient for Prompt Tuning Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang [Paper] [Code] |
| TPAMI |
Counterfactual samples synthesizing and training for robust visual question answering Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao [Paper] |
| CVPR 2023 |
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang [Paper] [Code] |
| AAAI 2023 |
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang Oral Presentation [Paper] [Code] |
| EMNLP 2022 |
Weakly-Supervised Temporal Article Grounding Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad Ayyubi, Heng Ji, Shih-Fu Chang [Paper] [Code] |
| EMNLP 2022 |
Interventional Training for Out-Of-Distribution Natural Language Understanding Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing [Paper] [Code] |
| NeurIPS 2022 |
Respecting Transfer Gap in Knowledge Distillation Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang [Paper] [Code] |
| ECCV 2022 |
Explicit Image Caption Editing Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao [Paper] [Code] |
| CVPR 2022 |
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao [Paper] [Code] |
| ICLR 2022 |
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang [Paper] [Code] |
| AAAI 2022 |
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang Oral Presentation [Paper] [Code] |
| NeurIPS 2021 |
Introspective Distillation for Robust Question Answering Yulei Niu, Hanwang Zhang [Paper] [Code] |
| ACL 2021 |
COSY: COunterfactual SYntax for Cross-Lingual Understanding Sicheng Yu, Hao Zhang, Yulei Niu, Qianru Sun, Jing Jiang [Paper] [Code] |
| CVPR 2021 |
Counterfactual VQA: A Cause-Effect Look at Language Bias Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen [Paper] [Code] |
| WACV 2021 |
Domain-Adaptive Few-Shot Learning An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo [Paper] [Code] |
| CVPR 2020 |
Unbiased Scene Graph Generation from Biased Training Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang Oral Presentation [Paper] [Code] |
| CVPR 2020 |
Two Causal Principles for Improving Visual Dialog Jiaxin Qi*, Yulei Niu*, Jianqiang Huang, Hanwang Zhang Visual Dialog Challenge 2019 Winner [Paper] [Code] |
| TPAMI |
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang [Paper] |
| SIGIR 2019 |
Coarse-to-Fine Grained Classification Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen Short Paper [Paper] |
| CVPR 2019 |
Recursive Visual Attention in Visual Dialog Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen Oral Presentation [Paper] [Code] [Talk] |
| TIP |
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang [Paper] |
| CVPR 2018 |
Grounding Referring Expressions in Images by Variational Context Hanwang Zhang, Yulei Niu, Shih-Fu Chang [Paper] [Code] |
| AAAI 2017 |
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen Oral Presentation [Paper] |
| IJCAI 2015 |
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing Yulei Niu*, Zhiwu Lu*, Songfang Huang, Peng Han, Ji-Rong Wen [Paper] |
| Co-organizer |
Workshop on 2nd Causality in Vision, ECCV 2022 Workshop on 1st Causality in Vision, CVPR 2021 |
| Area Chair | ICLR'25, ACM MM'24, BMVC'23, BMVC'22, ACM MM Asia'20 |
| Senior PC Member | AAAI'25, AAAI'24, IJCAI'24, AAAI'23, IJCAI'23, IJCAI'21 |
| Journal Reviewer | IEEE TPAMI, IEEE TIP, IEEE TNNLS, IEEE TMM, ACM TOIS, ACM CSUR, Neurocomputing |
| PC Member |
CVPR (2020-), ICCV (2021-), ECCV (2022-), ICML (2020-), NeurIPS (2020-), ICLR (2021-), ACL (2023-), EMNLP (2021-), AAAI (2020-), IJCAI (2021-), ACMMM (2020-), WACV (2021), BMVC (2019-2020) |
Last updated: August 19, 2024.