Xiawu Zheng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 92

Top Topics

Comprehensive Evaluation

Diffusion Models

Neural Architecture

Top Venues

Publications

Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR (2024)
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. AAAI (2024)
Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu
Data Interpreter: An LLM Agent For Data Science. CoRR (2024)
Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. CoRR (2024)
Wensheng Pan, Timin Gao, Yan Zhang, Runze Hu, Xiawu Zheng, Enwei Zhang, Yuting Gao, Yutao Liu, Yunhang Shen, Ke Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji
Multi-Modal Prompt Learning on Blind Image Quality Assessment. CoRR (2024)
Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
Multi-branch Collaborative Learning Network for 3D Visual Grounding. CoRR (2024)
Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang
Motion-aware Latent Diffusion Models for Video Frame Interpolation. CoRR (2024)
Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen
Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
AffineQuant: Affine Transformation Quantization for Large Language Models. ICLR (2024)
Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning. AAAI (2024)
Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji
Feature Denoising Diffusion Model for Blind Image Quality Assessment. CoRR (2024)
Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen
GraCo: Granularity-Controllable Interactive Segmentation. CoRR (2024)
Timin Gao, Wensheng Pan, Yan Zhang, Sicheng Zhao, Shengchuan Zhang, Xiawu Zheng, Ke Li, Liujuan Cao, Rongrong Ji
Local Manifold Learning for No-Reference Image Quality Assessment. CoRR (2024)
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR (2024)
Yongdong Luo, Haojia Lin, Xiawu Zheng, Yigeng Jiang, Fei Chao, Jie Hu, Guannan Jiang, Songan Zhang, Rongrong Ji
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization. CoRR (2024)
Song Guo, Fan Wu, Lei Zhang, Xiawu Zheng, Shengchuan Zhang, Fei Chao, Yiyu Shi, Rongrong Ji
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs. CoRR (2024)
Bowen Guo, Xiang Chang, Fei Chao, Xiawu Zheng, Chih-Min Lin, Yanjie Chen, Changjing Shang, Qiang Shen
ARLP: Automatic multi-agent transformer reinforcement learning pruner for one-shot neural network pruning. Knowl. Based Syst. 300 (2024)
Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji
VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. CoRR (2024)
Zhilin Huang, Quanmin Liang, Yijie Yu, Chujun Qin, Xiawu Zheng, Kai Huang, Zikun Zhou, Wenming Yang
Bilateral Event Mining and Complementary for Event Stream Super-Resolution. CoRR (2024)
Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation. CoRR (2024)
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, Jürgen Schmidhuber
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. ICLR (2024)
Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. CoRR (2024)
Binghan Chen, Jianlong Hu, Xiawu Zheng, Wei Lin, Fei Chao, Rongrong Ji
Functionally Similar Multi-Label Knowledge Distillation. ICASSP (2024)
Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. CoRR (2024)
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. CoRR (2024)
Xin Chen, Jie Hu, Xiawu Zheng, Jianghang Lin, Liujuan Cao, Rongrong Ji
Depth-Guided Semi-Supervised Instance Segmentation. CoRR (2024)
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
AffineQuant: Affine Transformation Quantization for Large Language Models. CoRR (2024)
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
A Unified Framework for Soft Threshold Pruning. CoRR (2023)
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
Meta Architecture for Point Cloud Analysis. CVPR (2023)
Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle. ICCV (2023)
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI (2023)
Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131 (5) (2023)
Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning. NeurIPS (2023)
Haojia Lin, Yongdong Luo, Xiawu Zheng, Lijiang Li, Fei Chao, Taisong Jin, Donghao Luo, Chengjie Wang, Yan Wang, Liujuan Cao
A Unified Framework for 3D Point Cloud Visual Grounding. CoRR (2023)
Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji
DLIP: Distilling Language-Image Pre-training. CoRR (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. CoRR (2023)
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji
OMPQ: Orthogonal Mixed Precision Quantization. AAAI (2023)
Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment. CoRR (2023)
Fan Wu, Yumeng Qian, Haozhun Zheng, Yan Zhang, Xiawu Zheng
A Novel Neighbor Aggregation Function for Medical Point Cloud Analysis. CGI (4) (2023)
Tanzhe Li, Wei Lin, Xiawu Zheng, Taisong Jin
GLViG: Global and Local Vision GNN May Be What You Need for Vision. PRCV (9) (2023)
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
A Unified Framework for Soft Threshold Pruning. ICLR (2023)
Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
Learning Sparse Neural Networks with Identity Layers. CoRR (2023)
Yan Ren, Xiawu Zheng, Rongrong Ji, Jie Chen
Two-Stage Deep Learning Segmentation for Tiny Brain Regions. PRCV (13) (2023)
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework. CoRR (2023)
Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR (2023)
Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian
Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models. ACM Multimedia (2023)
Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction. ISBI (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia (2023)
Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR (2023)
Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. CVPR (2023)
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. ISBI (2023)
Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang
Data-Efficient Image Quality Assessment with Attention-Panel Decoder. AAAI (2023)
Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang
Data-Efficient Image Quality Assessment with Attention-Panel Decoder. CoRR (2023)
Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. CoRR (2023)
Xudong Li, Timin Gao, Xiawu Zheng, Runze Hu, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji
Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity. CoRR (2023)
Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. CVPR (2023)
Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. CoRR (2023)
Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. ICCV (2023)
Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia (2023)
Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
Learning Sparse Neural Networks with Identity Layers. ICIG (3) (2023)
Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. CoRR (2023)
Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang
Iterative Data Refinement for Self-Supervised MR Image Reconstruction. CoRR (2022)
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
Meta Architecure for Point Cloud Analysis. CoRR (2022)
Tianshuo Xu, Peng Mi, Xiawu Zheng, Lijiang Li, Fei Chao, Guannan Jiang, Wei Zhang, Yiyi Zhou, Rongrong Ji
What Hinders Perceptual Quality of PSNR-oriented Methods? CoRR (2022)
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
Training-free Transformer Architecture Search. CVPR (2022)
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI. CoRR (2022)
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans. CoRR (2022)
Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji
Neural Architecture Search with Representation Mutual Information. CVPR (2022)
Haojia Lin, Lijiang Li, Xiawu Zheng, Fei Chao, Rongrong Ji
Searching Lightweight Neural Network for Image Signal Processing. ACM Multimedia (2022)
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
Training-free Transformer Architecture Search. CoRR (2022)
Tianshuo Xu, Yuhang Wu, Xiawu Zheng, Teng Xi, Gang Zhang, Errui Ding, Fei Chao, Rongrong Ji
CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power. ACM Multimedia (2021)
Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun
On Evolving Attention Towards Domain Adaptation. CoRR (2021)
Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Guannan Jiang, Wei Zhang, Rongrong Ji
OMPQ: Orthogonal Mixed Precision Quantization. CoRR (2021)
Qinqin Zhou, Xiawu Zheng, Liujuan Cao, Bineng Zhong, Teng Xi, Gang Zhang, Errui Ding, Mingliang Xu, Rongrong Ji
EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS. ICCV (2021)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129 (2) (2021)
Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji
An Information Theory-inspired Strategy for Automatic Network Pruning. CoRR (2021)
Xianming Lin, Run Li, Xiawu Zheng, Pai Peng, Yongjian Wu, Feiyue Huang, Rongrong Ji
Aggregating Global and Local Visual Representation for Vehicle Re-IDentification. IEEE Trans. Multim. 23 (2021)
Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient. CoRR (2021)
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
Rethinking Performance Estimation in Neural Architecture Search. CoRR (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR (2020)
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji
PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR (2020)
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji
PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
Binarized Neural Architecture Search. AAAI (2020)
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
Rethinking Performance Estimation in Neural Architecture Search. CVPR (2020)
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
Binarized Neural Architecture Search. CoRR (2019)
Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao
Dynamic Distribution Pruning for Efficient Network Architecture Search. CoRR (2019)
Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian
Multinomial Distribution Learning for Effective Neural Architecture Search. ICCV (2019)
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. AAAI (2019)
Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian
Multinomial Distribution Learning for Effective Neural Architecture Search. CoRR (2019)
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval. IJCAI (2018)