Xinjiang Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Object Detection

Computational Challenges

Spatio Temporally

Top Venues

Publications

Jiahao Xie, Yansong Zhou, Muhammad Faizan, Zewei Li, Tianshu Li, Yuhao Fu, Xinjiang Wang, Lijun Zhang
Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies. Nat. Comput. Sci. 4 (5) (2024)
Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau
RelayAttention for Efficient Large Language Model Serving with Long System Prompts. CoRR (2024)
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference. CoRR (2024)
Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau
RelayAttention for Efficient Large Language Model Serving with Long System Prompts. ACL (1) (2024)
Xiangyu Zhao, Yicheng Chen, Shilin Xu, Xiangtai Li, Xinjiang Wang, Yining Li, Haian Huang
An Open and Comprehensive Pipeline for Unified Object Grounding and Detection. CoRR (2024)
Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. NeurIPS (2023)
Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau
BiFormer: Vision Transformer with Bi-Level Routing Attention. CoRR (2023)
Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. CoRR (2023)
Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Chengqi Lyu, Wenwei Zhang, Ping Luo, Kai Chen
Dense Distinct Query for End-to-End Object Detection. CoRR (2023)
Xinjiang Wang, Zeyu Liu, Yu Hu, Wei Xi, Wenxian Yu, Danping Zou
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network. CVPR (2023)
Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau
BiFormer: Vision Transformer with Bi-Level Routing Attention. CVPR (2023)
Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao
Diverse Cotraining Makes Strong Semi-Supervised Segmentor. ICCV (2023)
Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection. CVPR (2023)
Zeming Chen, Wenwei Zhang, Xinjiang Wang, Kai Chen, Zhi Wang
Mixed Pseudo Labels for Semi-Supervised Object Detection. CoRR (2023)
Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao
Diverse Cotraining Makes Strong Semi-Supervised Segmentor. CoRR (2023)
Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Chengqi Lyu, Wenwei Zhang, Ping Luo, Kai Chen
Dense Distinct Query for End-to-End Object Detection. CVPR (2023)
Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang
Consistent Targets Provide Better Supervision in Semi-supervised Object Detection. CoRR (2022)
Bing Sun, Xinjiang Wang, Xiaobo Ma, Zhongyuan Sun, Zhiqiang Wang, Zuxing Zhang, Kaiming Zhou
Magnetic-Based Polydimethylsiloxane Microspheres for Magnetic Field Measurement. IEEE Trans. Instrum. Meas. 71 (2022)
Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Kai Chen
What Are Expected Queries in End-to-End Object Detection? CoRR (2022)
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen
Group R-CNN for Weakly Semi-supervised Object Detection with Points. CoRR (2022)
Xinjiang Wang, Zeyu Liu, Yu Hu, Wei Xi, Wenxian Yu, Danping Zou
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network. CoRR (2022)
Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen
Group R-CNN for Weakly Semi-supervised Object Detection with Points. CVPR (2022)
Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection. CoRR (2021)
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
Group Fisher Pruning for Practical Network Compression. CoRR (2021)
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
Understanding the wiring evolution in differentiable neural architecture search. AISTATS (2021)
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
Group Fisher Pruning for Practical Network Compression. ICML (2021)
Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS (2021)
Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng
Temporal RoI Align for Video Object Recognition. CoRR (2021)
Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng
Temporal ROI Align for Video Object Recognition. AAAI (2021)
Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang
How Does BN Increase Collapsed Neural Network Filters? CoRR (2020)
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
Understanding the wiring evolution in differentiable neural architecture search. CoRR (2020)
Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory. CoRR (2020)
Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang
Scale-Equalizing Pyramid Convolution for Object Detection. CoRR (2020)
Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang
Scale-Equalizing Pyramid Convolution for Object Detection. CVPR (2020)
Zhongzhan Huang, Xinjiang Wang, Ping Luo
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. CoRR (2020)
Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo
Online Knowledge Distillation via Collaborative Learning. CVPR (2020)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) (2019)
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS (2018)
Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR (2018)
Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo
Scheduling Large-scale Distributed Training via Reinforcement Learning. IEEE BigData (2018)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
Towards Understanding Regularization in Batch Normalization. CoRR (2018)