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2020 – today
- 2024
[j2]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): 322-333 (2024)- [c17]Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau:
RelayAttention for Efficient Large Language Model Serving with Long System Prompts. ACL (1) 2024: 4945-4957 - [i23]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 abs/2401.02361 (2024) - [i22]Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau:
RelayAttention for Efficient Large Language Model Serving with Long System Prompts. CoRR abs/2402.14808 (2024) - [i21]Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference. CoRR abs/2407.12442 (2024) - [i20]Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang:
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation. CoRR abs/2408.04883 (2024) - 2023
- [c16]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: 3240-3249 - [c15]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: 7329-7338 - [c14]Xinjiang Wang, Zeyu Liu, Yu Hu, Wei Xi, Wenxian Yu, Danping Zou:
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network. CVPR 2023: 7630-7639 - [c13]Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau:
BiFormer: Vision Transformer with Bi-Level Routing Attention. CVPR 2023: 10323-10333 - [c12]Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao:
Diverse Cotraining Makes Strong Semi-Supervised Segmentor. ICCV 2023: 16009-16021 - [c11]Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang:
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. NeurIPS 2023 - [i19]Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau:
BiFormer: Vision Transformer with Bi-Level Routing Attention. CoRR abs/2303.08810 (2023) - [i18]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 abs/2303.12776 (2023) - [i17]Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao:
Diverse Cotraining Makes Strong Semi-Supervised Segmentor. CoRR abs/2308.09281 (2023) - [i16]Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang:
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. CoRR abs/2310.17874 (2023) - [i15]Zeming Chen, Wenwei Zhang, Xinjiang Wang, Kai Chen, Zhi Wang:
Mixed Pseudo Labels for Semi-Supervised Object Detection. CoRR abs/2312.07006 (2023) - 2022
- [j1]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: 1-7 (2022) - [c10]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: 9407-9416 - [i14]Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen:
Group R-CNN for Weakly Semi-supervised Object Detection with Points. CoRR abs/2205.05920 (2022) - [i13]Shilong Zhang, Xinjiang Wang, Jiaqi Wang, Jiangmiao Pang, Kai Chen:
What Are Expected Queries in End-to-End Object Detection? CoRR abs/2206.01232 (2022) - [i12]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 abs/2209.01589 (2022) - [i11]Xinjiang Wang, Zeyu Liu, Yu Hu, Wei Xi, Wenxian Yu, Danping Zou:
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network. CoRR abs/2211.15069 (2022) - 2021
- [c9]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: 1442-1450 - [c8]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: 874-882 - [c7]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: 7021-7032 - [c6]Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo:
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS 2021: 16305-16318 - [i10]Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang:
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection. CoRR abs/2105.11293 (2021) - [i9]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 abs/2108.00708 (2021) - [i8]Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng:
Temporal RoI Align for Video Object Recognition. CoRR abs/2109.03495 (2021) - 2020
- [c5]Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo:
Online Knowledge Distillation via Collaborative Learning. CVPR 2020: 11017-11026 - [c4]Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang:
Scale-Equalizing Pyramid Convolution for Object Detection. CVPR 2020: 13356-13365 - [i7]Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang:
How Does BN Increase Collapsed Neural Network Filters? CoRR abs/2001.11216 (2020) - [i6]Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo:
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory. CoRR abs/2004.09740 (2020) - [i5]Zhongzhan Huang, Xinjiang Wang, Ping Luo:
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. CoRR abs/2004.11627 (2020) - [i4]Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang:
Scale-Equalizing Pyramid Convolution for Object Detection. CoRR abs/2005.03101 (2020) - [i3]Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
Understanding the wiring evolution in differentiable neural architecture search. CoRR abs/2009.01272 (2020)
2010 – 2019
- 2019
- [c3]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) 2019 - 2018
- [c2]Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo:
Scheduling Large-scale Distributed Training via Reinforcement Learning. IEEE BigData 2018: 1797-1806 - [c1]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS 2018: 21-31 - [i2]Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin:
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR abs/1802.03133 (2018) - [i1]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. CoRR abs/1809.00846 (2018)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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