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Yongjian Wu 0001
Person information
- affiliation: Tencent Youtu Lab, Shanghai, China
- affiliation (PhD 2008): Wuhan University, China
Other persons with the same name
- Yongjian Wu — disambiguation page
- Yongjian Wu 0002 — Beihang University, School of Biological Science and Medical Engineering, Beijing, China
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2020 – today
- 2024
- [j19]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yongjian Wu, Yue Gao, Rongrong Ji:
Towards Language-Guided Visual Recognition via Dynamic Convolutions. Int. J. Comput. Vis. 132(1): 1-19 (2024) - [c52]Lei Tan, Jiaer Xia, Wenfeng Liu, Pingyang Dai, Yongjian Wu, Liujuan Cao:
Occluded Person Re-identification via Saliency-Guided Patch Transfer. AAAI 2024: 5070-5078 - [c51]Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Liujuan Cao:
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification. AAAI 2024: 6198-6206 - [i43]Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji:
Image Captioning via Dynamic Path Customization. CoRR abs/2406.00334 (2024) - [i42]Lei Tan, Pingyang Dai, Jie Chen, Liujuan Cao, Yongjian Wu, Rongrong Ji:
PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification. CoRR abs/2408.16684 (2024) - [i41]Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji:
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification. CoRR abs/2411.01225 (2024) - 2023
- [j18]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): 1234-1249 (2023) - [j17]Huafeng Kuang, Hong Liu, Yongjian Wu, Rongrong Ji:
Semantically Consistent Visual Representation for Adversarial Robustness. IEEE Trans. Inf. Forensics Secur. 18: 5608-5622 (2023) - [j16]Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Knowing What it is: Semantic-Enhanced Dual Attention Transformer. IEEE Trans. Multim. 25: 3723-3736 (2023) - [j15]Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7946-7955 (2023) - [j14]Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8743-8752 (2023) - [c50]Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun:
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. AAAI 2023: 2528-2536 - [c49]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI 2023: 7042-7052 - [c48]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: 9029-9037 - [c47]Wenfeng Liu, Xudong Wang, Lei Tan, Yan Zhang, Pingyang Dai, Yongjian Wu, Rongrong Ji:
Learning Occlusion Disentanglement with Fine-grained Localization for Occluded Person Re-identification. ACM Multimedia 2023: 6462-6471 - [c46]Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji:
Improving Adversarial Robustness via Information Bottleneck Distillation. NeurIPS 2023 - [i40]Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun:
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. CoRR abs/2301.03160 (2023) - [i39]Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji:
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning. CoRR abs/2301.12439 (2023) - [i38]Lei Tan, Yukang Zhang, Shengmei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji:
Exploring Invariant Representation for Visible-Infrared Person Re-Identification. CoRR abs/2302.00884 (2023) - [i37]Lei Tan, Pingyang Dai, Qixiang Ye, Mingliang Xu, Yongjian Wu, Rongrong Ji:
Spectral Aware Softmax for Visible-Infrared Person Re-Identification. CoRR abs/2302.01512 (2023) - [i36]Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Rongrong Ji:
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification. CoRR abs/2303.10976 (2023) - [i35]Xingbin Liu, Huafeng Kuang, Xianming Lin, Yongjian Wu, Rongrong Ji:
CAT: Collaborative Adversarial Training. CoRR abs/2303.14922 (2023) - [i34]Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji:
Latent Feature Relation Consistency for Adversarial Robustness. CoRR abs/2303.16697 (2023) - 2022
- [j13]Qing Xu, Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yongjian Wu, Dongsheng Zhou, Yi Qu, Chenglong Li, Yilong Yin:
Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Sci. China Inf. Sci. 65(9): 1-12 (2022) - [j12]Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. Int. J. Softw. Informatics 12(2): 177-193 (2022) - [j11]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yan Wang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks. IEEE Trans. Image Process. 31: 3386-3398 (2022) - [j10]Jiayi Ji, Yiwei Ma, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning. IEEE Trans. Image Process. 31: 4321-4335 (2022) - [j9]Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Knowledge-Driven Generative Adversarial Network for Text-to-Image Synthesis. IEEE Trans. Multim. 24: 4356-4366 (2022) - [j8]Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Network Pruning Using Adaptive Exemplar Filters. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7357-7366 (2022) - [c45]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) 2022: 1-18 - [c44]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) 2022: 70-86 - [c43]Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack. ECCV (5) 2022: 192-208 - [c42]Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu:
Dynamic Prototype Mask for Occluded Person Re-Identification. ACM Multimedia 2022: 531-540 - [c41]Jun Peng, Han Pan, Yiyi Zhou, Jing He, Xiaoshuai Sun, Yan Wang, Yongjian Wu, Rongrong Ji:
Towards Open-Ended Text-to-Face Generation, Combination and Manipulation. ACM Multimedia 2022: 5045-5054 - [c40]Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji:
Learning Best Combination for Efficient N: M Sparsity. NeurIPS 2022 - [i33]Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji:
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR abs/2201.12826 (2022) - [i32]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
Coarse-to-Fine Vision Transformer. CoRR abs/2203.03821 (2022) - [i31]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR abs/2203.03844 (2022) - [i30]Fuhai Chen, Xiaoshuai Sun, Xuri Ge, Jianzhuang Liu, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension. CoRR abs/2203.06382 (2022) - [i29]Chengpeng Dai, Fuhai Chen, Xiaoshuai Sun, Rongrong Ji, Qixiang Ye, Yongjian Wu:
Global2Local: A Joint-Hierarchical Attention for Video Captioning. CoRR abs/2203.06663 (2022) - [i28]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yan Wang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks. CoRR abs/2204.07780 (2022) - [i27]Gen Luo, Yiyi Zhou, Jiamu Sun, Shubin Huang, Xiaoshuai Sun, Qixiang Ye, Yongjian Wu, Rongrong Ji:
What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study. CoRR abs/2204.07913 (2022) - [i26]Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji:
Learning Best Combination for Efficient N: M Sparsity. CoRR abs/2206.06662 (2022) - [i25]Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu:
Dynamic Prototype Mask for Occluded Person Re-Identification. CoRR abs/2207.09046 (2022) - [i24]Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification. CoRR abs/2208.09844 (2022) - 2021
- [j7]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: 3968-3977 (2021) - [c39]Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. AAAI 2021: 1655-1663 - [c38]Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji:
Dual-level Collaborative Transformer for Image Captioning. AAAI 2021: 2286-2293 - [c37]Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji:
Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification. CVPR 2021: 4330-4339 - [c36]Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-Image Translation via Hierarchical Style Disentanglement. CVPR 2021: 8639-8648 - [c35]Xuying Zhang, Xiaoshuai Sun, Yunpeng Luo, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji:
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words. CVPR 2021: 15465-15474 - [c34]Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. CVPR 2021: 16694-16705 - [c33]Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. ICCV 2021: 8178-8188 - [c32]Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu:
Aha! Adaptive History-driven Attack for Decision-based Black-box Models. ICCV 2021: 16148-16157 - [c31]Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji:
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. IJCAI 2021: 1136-1142 - [c30]Zhiwei Chen, Liujuan Cao, Yunhang Shen, Feihong Lian, Yongjian Wu, Rongrong Ji:
E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization. ACM Multimedia 2021: 573-581 - [i23]Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji:
Dual-Level Collaborative Transformer for Image Captioning. CoRR abs/2101.06462 (2021) - [i22]Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Non-Parametric Adaptive Network Pruning. CoRR abs/2101.07985 (2021) - [i21]Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Image-to-image Translation via Hierarchical Style Disentanglement. CoRR abs/2103.01456 (2021) - [i20]Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR abs/2103.14473 (2021) - [i19]Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji:
Lottery Jackpots Exist in Pre-trained Models. CoRR abs/2104.08700 (2021) - [i18]Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying out CNN Channel Pruning in a White Box. CoRR abs/2104.11883 (2021) - [i17]Yixu Wang, Jie Li, Hong Liu, Yongjian Wu, Rongrong Ji:
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. CoRR abs/2105.00623 (2021) - [i16]Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji:
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. CoRR abs/2106.09965 (2021) - [i15]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR abs/2109.04186 (2021) - [i14]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Xinghao Ding, Yongjian Wu, Feiyue Huang, Yue Gao, Rongrong Ji:
Towards Language-guided Visual Recognition via Dynamic Convolutions. CoRR abs/2110.08797 (2021) - 2020
- [j6]Sumaira Hussain, Xiaoming Xi, Inam Ullah, Yongjian Wu, Chunxiao Ren, Zhao Lianzheng, Cuihuan Tian, Yilong Yin:
Contextual Level-Set Method for Breast Tumor Segmentation. IEEE Access 8: 189343-189353 (2020) - [j5]Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2410-2422 (2020) - [c29]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Interpretable Neural Network Decoupling. ECCV (15) 2020: 653-669 - [c28]Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. IJCAI 2020: 673-679 - [c27]Xiaoshuai Sun, Xuying Zhang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploring Language Prior for Mode-Sensitive Visual Attention Modeling. ACM Multimedia 2020: 4199-4207 - [c26]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. NeurIPS 2020 - [c25]Yunhang Shen, Rongrong Ji, Zhiwei Chen, Yongjian Wu, Feiyue Huang:
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection. NeurIPS 2020 - [i13]Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. CoRR abs/2001.08565 (2020) - [i12]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. CoRR abs/2009.13055 (2020) - [i11]Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji:
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. CoRR abs/2011.08382 (2020) - [i10]Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. CoRR abs/2012.07061 (2020)
2010 – 2019
- 2019
- [j4]Yongjian Wu, Xiaoming Xi, Xianjing Meng, Xiushan Nie, Yanwei Ren, Guang Zhang, Cuihuan Tian, Yilong Yin:
Label-Distribution Learning-Embedded Active Contour Model for Breast Tumor Segmentation. IEEE Access 7: 97857-97864 (2019) - [j3]Guang Zhang, Shuhao Dong, Hui Xu, Hongyu Zhang, Yongjian Wu, Yanwei Zhang, Xiaoming Xi, Yilong Yin:
Correction Learning for Medical Image Segmentation. IEEE Access 7: 143597-143607 (2019) - [c24]Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu:
Towards Optimal Discrete Online Hashing with Balanced Similarity. AAAI 2019: 8722-8729 - [c23]Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji:
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. AAAI 2019: 8746-8753 - [c22]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: 9291-9298 - [c21]Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, Liujuan Cao:
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. CVPR 2019: 697-707 - [c20]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR 2019: 2800-2809 - [c19]Yongwei Gao, Bilei Zhu, Wei Li, Ke Li, Yongjian Wu, Feiyue Huang:
Vocal Melody Extraction via DNN-based Pitch Estimation and Salience-based Pitch Refinement. ICASSP 2019: 1000-1004 - [c18]Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang:
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. ICCV 2019: 2941-2949 - [c17]Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang:
A Part Power Set Model for Scale-Free Person Retrieval. IJCAI 2019: 3397-3403 - [c16]Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang:
Variational Structured Semantic Inference for Diverse Image Captioning. NeurIPS 2019: 1929-1939 - [i9]Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu:
Towards Optimal Discrete Online Hashing with Balanced Similarity. CoRR abs/1901.10185 (2019) - [i8]Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu:
Supervised Online Hashing via Hadamard Codebook Learning. CoRR abs/1905.03694 (2019) - [i7]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 abs/1905.13543 (2019) - [i6]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. CoRR abs/1906.01166 (2019) - [i5]Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. CoRR abs/1908.02126 (2019) - 2018
- [c15]Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su:
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints. CVPR 2018: 1345-1353 - [c14]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: 1226-1233 - [c13]Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. IJCAI 2018: 2425-2432 - [c12]Hong Liu, Mingbao Lin, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval. ACM Multimedia 2018: 1589-1597 - [c11]Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu:
Supervised Online Hashing via Hadamard Codebook Learning. ACM Multimedia 2018: 1635-1643 - [i4]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CoRR abs/1812.04368 (2018) - 2017
- [j2]Rongrong Ji, Hong Liu, Liujuan Cao, Di Liu, Yongjian Wu, Feiyue Huang:
Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding. IEEE Trans. Image Process. 26(11): 5411-5420 (2017) - [c10]Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang:
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. AAAI 2017: 2238-2244 - [c9]Deng Cai, Hai Zhao, Zhisong Zhang, Yuan Xin, Yongjian Wu, Feiyue Huang:
Fast and Accurate Neural Word Segmentation for Chinese. ACL (2) 2017: 608-615 - [c8]Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Cross-Modality Binary Code Learning via Fusion Similarity Hashing. CVPR 2017: 6345-6353 - [c7]Bilei Zhu, Fuzhang Wu, Ke Li, Yongjian Wu, Feiyue Huang, Yunsheng Wu:
Fusing transcription results from polyphonic and monophonic audio for singing melody transcription in polyphonic music. ICASSP 2017: 296-300 - [c6]Fuhai Chen, Rongrong Ji, Jinsong Su, Yongjian Wu, Yunsheng Wu:
StructCap: Structured Semantic Embedding for Image Captioning. ACM Multimedia 2017: 46-54 - [c5]Yiyi Zhou, Rongrong Ji, Jinsong Su, Yongjian Wu, Yunsheng Wu:
More Than An Answer: Neural Pivot Network for Visual Qestion Answering. ACM Multimedia 2017: 681-689 - [i3]Deng Cai, Hai Zhao, Zhisong Zhang, Yuan Xin, Yongjian Wu, Feiyue Huang:
Fast and Accurate Neural Word Segmentation for Chinese. CoRR abs/1704.07047 (2017) - 2016
- [c4]Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu:
Towards Optimal Binary Code Learning via Ordinal Embedding. AAAI 2016: 1258-1265 - [c3]Hong Liu, Rongrong Ji, Yongjian Wu, Gang Hua:
Supervised Matrix Factorization for Cross-Modality Hashing. IJCAI 2016: 1767-1773 - [i2]Hong Liu, Rongrong Ji, Yongjian Wu, Gang Hua:
Supervised Matrix Factorization for Cross-Modality Hashing. CoRR abs/1603.05572 (2016) - [i1]Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang:
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. CoRR abs/1611.06362 (2016) - 2012
- [j1]Shouhong Ding, Feiyue Huang, Zhifeng Xie, Yongjian Wu, Bin Sheng, Lizhuang Ma:
A Customized Framework to Recompress Massive Internet Images. J. Comput. Sci. Technol. 27(6): 1129-1139 (2012) - [c2]Shouhong Ding, Feiyue Huang, Zhifeng Xie, Yongjian Wu, Lizhuang Ma:
A Novel Customized Recompression Framework for Massive Internet Images. CVM 2012: 9-16
2000 – 2009
- 2008
- [c1]Rongrong Ji, Xing Xie, Hongxun Yao, Yongjian Wu, Wei-Ying Ma:
Vocabulary tree incremental indexing for scalable location recognition. ICME 2008: 869-872
Coauthor Index
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