Scheduling Large-scale Distributed Training via Reinforcement Learning. - Zhanglin Peng; Jiamin Ren; Ruimao Zhang; Lingyun Wu; Xinjiang Wang; Ping Luo 002 (IEEE BigData, 2018)

Kalman Normalization: Normalizing Internal Representations Across Network Layers. - Guangrun Wang; Jiefeng Peng; Ping Luo 002; Xinjiang Wang; Liang Lin (NeurIPS, 2018)

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. - Guangrun Wang; Jiefeng Peng; Ping Luo 002; Xinjiang Wang; Liang Lin (CoRR, 2018)

Towards Understanding Regularization in Batch Normalization. - Ping Luo 002; Xinjiang Wang; Wenqi Shao; Zhanglin Peng (ICLR (Poster), 2019)

Online Knowledge Distillation via Collaborative Learning. - Qiushan Guo; Xinjiang Wang; Yichao Wu; Zhipeng Yu; Ding Liang; Xiaolin Hu 001; Ping Luo 002 (CVPR, 2020)

Scale-Equalizing Pyramid Convolution for Object Detection. - Xinjiang Wang; Shilong Zhang; Zhuoran Yu; Litong Feng; Wayne Zhang 001 (CVPR, 2020)

How Does BN Increase Collapsed Neural Network Filters? - Sheng Zhou; Xinjiang Wang; Ping Luo 002; Litong Feng; Wenjie Li; Wei Zhang 010 (CoRR, 2020)

AdaX: Adaptive Gradient Descent with Exponential Long Term Memory. - Wenjie Li; Zhaoyang Zhang 004; Xinjiang Wang; Ping Luo 002 (CoRR, 2020)

Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. - Zhongzhan Huang; Xinjiang Wang; Ping Luo 002 (CoRR, 2020)

Temporal ROI Align for Video Object Recognition. - Tao Gong; Kai Chen 026; Xinjiang Wang; Qi Chu 001; Feng Zhu 006; Dahua Lin; Nenghai Yu; Huamin Feng (AAAI, 2021)

Understanding the wiring evolution in differentiable neural architecture search. - Sirui Xie; Shoukang Hu; Xinjiang Wang; Chunxiao Liu; Jianping Shi; Xunying Liu; Dahua Lin (AISTATS, 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 001 (ICML, 2021)

Rethinking the Pruning Criteria for Convolutional Neural Network. - Zhongzhan Huang; Wenqi Shao; Xinjiang Wang; Liang Lin; Ping Luo 002 (NeurIPS, 2021)

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection. - Shijie Fang; Yuhang Cao; Xinjiang Wang; Kai Chen 026; Dahua Lin; Wayne Zhang 001 (CoRR, 2021)

Group R-CNN for Weakly Semi-supervised Object Detection with Points. - Shilong Zhang; Zhuoran Yu; Liyang Liu; Xinjiang Wang; Aojun Zhou; Kai Chen 026 (CVPR, 2022)

What Are Expected Queries in End-to-End Object Detection? - Shilong Zhang; Xinjiang Wang; Jiaqi Wang 003; Jiangmiao Pang; Kai Chen 026 (CoRR, 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 002; Wayne Zhang 001 (CoRR, 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)

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network. - Xinjiang Wang; Zeyu Liu 001; Yu Hu 019; Wei Xi; Wenxian Yu; Danping Zou (CVPR, 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 002; Wayne Zhang 001 (CVPR, 2023)

Dense Distinct Query for End-to-End Object Detection. - Shilong Zhang; Xinjiang Wang; Jiaqi Wang 003; Jiangmiao Pang; Chengqi Lyu; Wenwei Zhang; Ping Luo 002; Kai Chen 026 (CVPR, 2023)

BiFormer: Vision Transformer with Bi-Level Routing Attention. - Lei Zhu 016; Xinjiang Wang; Zhanghan Ke; Wayne Zhang 001; Rynson W. H. Lau (CVPR, 2023)

Diverse Cotraining Makes Strong Semi-Supervised Segmentor. - Yijiang Li; Xinjiang Wang; Lihe Yang; Litong Feng; Wayne Zhang 001; Ying Gao 004 (ICCV, 2023)

SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation. - Mengcheng Lan; Xinjiang Wang; Yiping Ke; Jiaxing Xu; Litong Feng; Wayne Zhang 001 (NeurIPS, 2023)

Mixed Pseudo Labels for Semi-Supervised Object Detection. - Zeming Chen 002; Wenwei Zhang; Xinjiang Wang; Kai Chen 026; Zhi Wang (CoRR, 2023)

RelayAttention for Efficient Large Language Model Serving with Long System Prompts. - Lei Zhu 016; Xinjiang Wang; Wayne Zhang 001; Rynson W. H. Lau (ACL (1), 2024)

ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference. - Mengcheng Lan; Chaofeng Chen; Yiping Ke; Xinjiang Wang; Litong Feng; Wayne Zhang 001 (ECCV (47), 2024)

ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation. - Mengcheng Lan; Chaofeng Chen; Yiping Ke; Xinjiang Wang; Litong Feng; Wayne Zhang 001 (ECCV (68), 2024)

Revisiting the Integration of Convolution and Attention for Vision Backbone. - Lei Zhu 016; Xinjiang Wang; Wayne Zhang 001; Rynson W. H. Lau (NeurIPS, 2024)

An Open and Comprehensive Pipeline for Unified Object Grounding and Detection. - Xiangyu Zhao; Yicheng Chen; Shilin Xu 001; Xiangtai Li; Xinjiang Wang; Yining Li; Haian Huang (CoRR, 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 017 (Nat. Comput. Sci., 2024)

Text4Seg: Reimagining Image Segmentation as Text Generation. - Mengcheng Lan; Chaofeng Chen; Yue Zhou 005; Jiaxing Xu; Yiping Ke; Xinjiang Wang; Litong Feng; Wayne Zhang 001 (ICLR, 2025)