Xinjiang Wang

According to our database, Xinjiang Wang authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies.

Jiahao Xie, Yansong Zhou, Muhammad Faizan, Zewei Li, Tianshu Li, Yuhao Fu, Xinjiang Wang, Lijun Zhang

Nat. Comput. Sci., May, 2024

Text4Seg: Reimagining Image Segmentation as Text Generation.

Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang

CoRR, 2024

An Open and Comprehensive Pipeline for Unified Object Grounding and Detection.

Xiangyu Zhao, Yicheng Chen, Shilin Xu, Xiangtai Li, Xinjiang Wang, Yining Li, Haian Huang

CoRR, 2024

ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation.

Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference.

Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

RelayAttention for Efficient Large Language Model Serving with Long System Prompts.

Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Mixed Pseudo Labels for Semi-Supervised Object Detection.

Zeming Chen, Wenwei Zhang, Xinjiang Wang, Kai Chen, Zhi Wang

CoRR, 2023

SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation.

Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BiFormer: Vision Transformer with Bi-Level Routing Attention.

Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dense Distinct Query for End-to-End Object Detection.

Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Chengqi Lyu, Wenwei Zhang, Ping Luo, Kai Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection.

Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network.

Xinjiang Wang, Zeyu Liu, Yu Hu, Wei Xi, Wenxian Yu, Danping Zou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Magnetic-Based Polydimethylsiloxane Microspheres for Magnetic Field Measurement.

Bing Sun, Xinjiang Wang, Xiaobo Ma, Zhongyuan Sun, Zhiqiang Wang, Zuxing Zhang, Kaiming Zhou

IEEE Trans. Instrum. Meas., 2022

Consistent Targets Provide Better Supervision in Semi-supervised Object Detection.

Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang

CoRR, 2022

What Are Expected Queries in End-to-End Object Detection?

Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Kai Chen

CoRR, 2022

Group R-CNN for Weakly Semi-supervised Object Detection with Points.

Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection.

Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang

CoRR, 2021

Rethinking the Pruning Criteria for Convolutional Neural Network.

Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Group Fisher Pruning for Practical Network Compression.

Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding the wiring evolution in differentiable neural architecture search.

Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Temporal ROI Align for Video Object Recognition.

Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning.

Zhongzhan Huang, Xinjiang Wang, Ping Luo

CoRR, 2020

AdaX: Adaptive Gradient Descent with Exponential Long Term Memory.

Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo

CoRR, 2020

How Does BN Increase Collapsed Neural Network Filters?

Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang

CoRR, 2020

Scale-Equalizing Pyramid Convolution for Object Detection.

Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Online Knowledge Distillation via Collaborative Learning.

Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Towards Understanding Regularization in Batch Normalization.

Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

CoRR, 2018

Kalman Normalization: Normalizing Internal Representations Across Network Layers.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scheduling Large-scale Distributed Training via Reinforcement Learning.

Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018