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2020 – today
- 2024
[j141]Rundong He, Zhongyi Han, Xiushan Nie, Yilong Yin, Xiaojun Chang:
Visual Out-of-Distribution Detection in Open-Set Noisy Environments. Int. J. Comput. Vis. 132(11): 5453-5470 (2024)- [j140]Tao Yan
, Shufan Xu, Hao Huang, Helong Li, Lu Tan, Xiaojun Chang, Rynson W. H. Lau:
NRGlassNet: Glass surface detection from visible and near-infrared image pairs. Knowl. Based Syst. 294: 111722 (2024) - [j139]Di Yuan, Gu Geng, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi:
Self-supervised discriminative model prediction for visual tracking. Neural Comput. Appl. 36(10): 5153-5164 (2024) - [j138]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik:
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 543-560 (2024) - [j137]Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1530-1544 (2024) - [j136]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2722-2740 (2024) - [j135]Zhicheng Sheng, Liqiang Nie, Min Zhang, Xiaojun Chang, Yan Yan:
Stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2734-2748 (2024) - [j134]Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yongle Zhang, Yeqi Hu, Xinyuan Liu, Shusong Yu:
CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6674-6685 (2024) - [j133]Fengling Li, Bowen Wang, Lei Zhu, Jingjing Li, Zheng Zhang, Xiaojun Chang:
Cross-Domain Transfer Hashing for Efficient Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9664-9677 (2024) - [j132]Ying Liang, Wenjie Wu, Haobo Li, Xiaojun Chang, Xiaojiang Chen, Jinye Peng, Pengfei Xu:
DCS-Gait: A Class-Level Domain Adaptation Approach for Cross-Scene and Cross-State Gait Recognition Using Wi-Fi CSI. IEEE Trans. Inf. Forensics Secur. 19: 2997-3007 (2024) - [j131]Xiu Shu, Yunyun Yang, Jun Liu, Xiaojun Chang, Boying Wu:
BDAL: Balanced Distribution Active Learning for MRI Cardiac Multistructures Segmentation. IEEE Trans. Ind. Informatics 20(4): 6099-6108 (2024) - [j130]Di Yuan, Haiping Zhang, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi:
Thermal Infrared Target Tracking: A Comprehensive Review. IEEE Trans. Instrum. Meas. 73: 1-19 (2024) - [j129]Haiping Zhang, Di Yuan, Xiu Shu, Zhihui Li, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi:
A Comprehensive Review of RGBT Tracking. IEEE Trans. Instrum. Meas. 73: 1-23 (2024) - [j128]Mingfei Han, Yali Wang, Mingjie Li, Xiaojun Chang, Yi Yang, Yu Qiao:
Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection. IEEE Trans. Image Process. 33: 1560-1573 (2024) - [j127]Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng:
Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. IEEE Trans. Image Process. 33: 3520-3535 (2024) - [j126]Aijia Yang, Sihao Lin, Chung-Hsing Yeh, Minglei Shu, Yi Yang, Xiaojun Chang:
Context Matters: Distilling Knowledge Graph for Enhanced Object Detection. IEEE Trans. Multim. 26: 487-500 (2024) - [j125]Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. IEEE Trans. Multim. 26: 1528-1538 (2024) - [j124]Qiao Liu, Xin Li, Di Yuan, Chao Yang, Xiaojun Chang, Zhenyu He:
LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9844-9857 (2024) - [j123]Bo Lyu, Shiping Wen, Yin Yang, Xiaojun Chang, Junwei Sun, Yiran Chen, Tingwen Huang:
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11979-11988 (2024) - [j122]Di Yuan, Xiaojun Chang, Qiao Liu, Yi Yang, Dehua Wang, Minglei Shu, Zhenyu He, Guangming Shi:
Active Learning for Deep Visual Tracking. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13284-13296 (2024) - [j121]Harry Cheng, Yangyang Guo, Tianyi Wang, Qi Li, Xiaojun Chang, Liqiang Nie:
Voice-Face Homogeneity Tells Deepfake. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 76:1-76:22 (2024) - [j120]Yao Liu, Gangfeng Cui, Jiahui Luo, Xiaojun Chang, Lina Yao:
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 145:1-145:22 (2024) - [c117]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. AAAI 2024: 1463-1471 - [c116]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang:
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. AAAI 2024: 2480-2488 - [c115]Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 2024: 17591-17599 - [c114]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be a Good Transformer Learner. CVPR 2024: 19489-19498 - [c113]Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang:
Video Recognition in Portrait Mode. CVPR 2024: 21831-21841 - [c112]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. ECCV (43) 2024: 162-180 - [c111]Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang:
LongVLM: Efficient Long Video Understanding via Large Language Models. ECCV (33) 2024: 453-470 - [c110]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR 2024 - [c109]Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang:
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. ICLR 2024 - [c108]Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng:
Masked Distillation Advances Self-Supervised Transformer Architecture Search. ICLR 2024 - [c107]Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang:
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. ACM Multimedia 2024: 4640-4649 - [c106]Rui Liu, Mingjie Li, Shen Zhao, Ling Chen, Xiaojun Chang, Lina Yao:
In-Context Learning for Zero-shot Medical Report Generation. ACM Multimedia 2024: 8721-8730 - [c105]Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao:
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. WWW 2024: 2965-2975 - [i109]Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao:
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. CoRR abs/2402.13525 (2024) - [i108]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR abs/2403.01326 (2024) - [i107]Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang:
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS. CoRR abs/2403.04161 (2024) - [i106]Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang:
NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning. CoRR abs/2403.07376 (2024) - [i105]Jingjing Hu, Dan Guo, Kun Li, Zhan Si, Xun Yang, Xiaojun Chang, Meng Wang:
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding. CoRR abs/2403.14174 (2024) - [i104]Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu:
Self-Supervised Multi-Frame Neural Scene Flow. CoRR abs/2403.16116 (2024) - [i103]Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang:
LongVLM: Efficient Long Video Understanding via Large Language Models. CoRR abs/2404.03384 (2024) - [i102]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be A Good Transformer Learner. CoRR abs/2404.05657 (2024) - [i101]Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin:
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR abs/2406.02990 (2024) - [i100]Junfei Yi, Jianxu Mao, Tengfei Liu, Mingjie Li, Hanyu Gu, Hui Zhang, Xiaojun Chang, Yaonan Wang:
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection. CoRR abs/2406.06999 (2024) - [i99]Jinxing Zhou, Dan Guo, Yuxin Mao, Yiran Zhong, Xiaojun Chang, Meng Wang:
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing. CoRR abs/2407.08126 (2024) - [i98]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. CoRR abs/2407.14474 (2024) - [i97]Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang:
Disentangled Noisy Correspondence Learning. CoRR abs/2408.05503 (2024) - [i96]Zhendong Mao, Mengqi Huang, Fei Ding, Mingcong Liu, Qian He, Xiaojun Chang, Yong-Dong Zhang:
RealCustom++: Representing Images as Real-Word for Real-Time Customization. CoRR abs/2408.09744 (2024) - [i95]Yijian Fan, Zhenbang Yang, Rui Liu, Mingjie Li, Xiaojun Chang:
Medical Report Generation Is A Multi-label Classification Problem. CoRR abs/2409.00250 (2024) - [i94]Changlin Li, Jiawei Zhang, Sihao Lin, Zongxin Yang, Junwei Liang, Xiaodan Liang, Xiaojun Chang:
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning. CoRR abs/2410.00350 (2024) - 2023
- [j119]Zhouji Ma, Xiaojun Chang:
Normalized ground states of nonlinear biharmonic Schrödinger equations with Sobolev critical growth and combined nonlinearities. Appl. Math. Lett. 135: 108388 (2023) - [j118]Xiaojun Chang, Vicentiu D. Radulescu, Ru Wang, Duokui Yan:
Convergence of least energy sign-changing solutions for logarithmic Schrödinger equations on locally finite graphs. Commun. Nonlinear Sci. Numer. Simul. 125: 107418 (2023) - [j117]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang:
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. J. Mach. Learn. Res. 24: 315:1-315:23 (2023) - [j116]Jinlong Qu, Xiaowei Zhao, Yun Xiao, Xiaojun Chang, Zhihui Li, Xuanhong Wang:
Adaptive Manifold Graph representation for Two-Dimensional Discriminant Projection. Knowl. Based Syst. 266: 110411 (2023) - [j115]Mei Shi, Xiaowei Zhao, Xiaoyan Yin, Xiaojun Chang, Fan Niu, Jun Guo:
Multiview Latent Structure Learning: Local structure-guided cross-view discriminant analysis. Knowl. Based Syst. 276: 110707 (2023) - [j114]B. B. Gupta, Varun Prajapati, Nadia Nedjah, Pandi Vijayakumar, Ahmed A. Abd El-Latif, Xiaojun Chang:
Machine learning and smart card based two-factor authentication scheme for preserving anonymity in telecare medical information system (TMIS). Neural Comput. Appl. 35(7): 5055-5080 (2023) - [j113]Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1-26 (2023) - [j112]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - [j111]Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann:
Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3918-3932 (2023) - [j110]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4430-4446 (2023) - [j109]Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao, Xiaojiang Chen:
When Object Detection Meets Knowledge Distillation: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10555-10579 (2023) - [j108]Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie:
Attribute-Guided Collaborative Learning for Partial Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14144-14160 (2023) - [j107]Xiu Shu, Yunyun Yang, Jun Liu, Xiaojun Chang, Boying Wu:
ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation. Pattern Recognit. 136: 109257 (2023) - [j106]Dongyu Zhang, Ciyuan Peng, Xiaojun Chang, Feng Xia:
The Effect of Facial Perception and Academic Performance on Social Centrality. IEEE Trans. Comput. Soc. Syst. 10(3): 970-981 (2023) - [j105]Zhuohang Dang, Minnan Luo, Chengyou Jia, Caixia Yan, Xiaojun Chang, Qinghua Zheng:
Counterfactual Generation Framework for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3747-3758 (2023) - [j104]Weili Guan, Xuemeng Song, Kejie Wang, Haokun Wen, Hongda Ni, Yaowei Wang, Xiaojun Chang:
Egocentric Early Action Prediction via Multimodal Transformer-Based Dual Action Prediction. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4472-4483 (2023) - [j103]Lingling Zhang, Xinyu Zhang, Qianying Wang, Wenjun Wu, Xiaojun Chang, Jun Liu:
RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6609-6621 (2023) - [j102]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Evolutionary Neural Architecture Search With Predictor. IEEE Trans. Evol. Comput. 27(1): 26-36 (2023) - [j101]Xiaoqin Zhang, Chen-Xiang Fan, Zhiheng Xiao, Li Zhao, Huiling Chen, Xiaojun Chang:
Random Reconstructed Unpaired Image-to-Image Translation. IEEE Trans. Ind. Informatics 19(3): 3144-3154 (2023) - [j100]Dan Shi, Lei Zhu, Jingjing Li, Zheng Zhang, Xiaojun Chang:
Unsupervised Adaptive Feature Selection With Binary Hashing. IEEE Trans. Image Process. 32: 838-853 (2023) - [j99]Zutao Jiang, Changlin Li, Xiaojun Chang, Ling Chen, Jihua Zhu, Yi Yang:
Dynamic Slimmable Denoising Network. IEEE Trans. Image Process. 32: 1583-1598 (2023) - [j98]Chengyou Jia, Minnan Luo, Caixia Yan, Linchao Zhu, Xiaojun Chang, Qinghua Zheng:
Collaborative Contrastive Refining for Weakly Supervised Person Search. IEEE Trans. Image Process. 32: 4951-4963 (2023) - [j97]Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j96]Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng:
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6085-6098 (2023) - [j95]Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. IEEE Trans. Multim. 25: 1600-1610 (2023) - [j94]Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao:
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. 25: 8372-8382 (2023) - [j93]Mingjie Li, Rui Liu, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary signal-guided knowledge encoder-decoder for medical report generation. World Wide Web (WWW) 26(1): 253-270 (2023) - [c104]Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. AAAI 2023: 1051-1059 - [c103]Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang:
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. AI (1) 2023: 28-41 - [c102]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. CVPR 2023: 3334-3343 - [c101]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. EACL (Findings) 2023: 2147-2162 - [c100]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. GECCO 2023: 1257-1266 - [c99]Chengyou Jia, Minnan Luo, Zhuohang Dang, Xiaojun Chang, Qinghua Zheng:
Towards Real-Time Person Search with Invariant Feature Learning. ICASSP 2023: 1-5 - [c98]Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. ICCV 2023: 3479-3488 - [c97]Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao:
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. ICCV 2023: 13368-13377 - [c96]Yin Yin Low, Raphaël C.-W. Phan, Arghya Pal, Xiaojun Chang:
USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition. ICIP 2023: 2150-2154 - [c95]Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang:
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. ICLR 2023 - [c94]Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yeqi Hu, Xiaowei Xin, Xiangqian Ding, Baoqi Guo:
RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition. ICME 2023: 2141-2146 - [c93]Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang:
Vision Language Navigation with Knowledge-driven Environmental Dreamer. IJCAI 2023: 1840-1848 - [c92]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS 2023 - [i93]Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang:
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. CoRR abs/2302.10307 (2023) - [i92]Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. CoRR abs/2303.03598 (2023) - [i91]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation. CoRR abs/2303.10323 (2023) - [i90]Mingjie Li, Tharindu Rathnayake, Ben Beck, Lingheng Meng, Zijue Chen, Akansel Cosgun, Xiaojun Chang, Dana Kulic:
A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams. CoRR abs/2304.11868 (2023) - [i89]Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang:
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR abs/2304.14204 (2023) - [i88]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. CoRR abs/2305.02471 (2023) - [i87]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR abs/2306.10715 (2023) - [i86]Yao Liu, Gangfeng Cui, Jiahui Luo, Lina Yao, Xiaojun Chang:
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. CoRR abs/2307.11973 (2023) - [i85]Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. CoRR abs/2307.16617 (2023) - [i84]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang:
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation. CoRR abs/2308.10156 (2023) - [i83]Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR abs/2308.11339 (2023) - [i82]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. CoRR abs/2309.11125 (2023) - [i81]Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang:
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. CoRR abs/2310.05654 (2023) - [i80]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. CoRR abs/2310.18954 (2023) - [i79]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
Disentangled Representation Learning with Transmitted Information Bottleneck. CoRR abs/2311.01686 (2023) - [i78]Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang:
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. CoRR abs/2312.02226 (2023) - [i77]Mingfei Han, Linjie Yang, Xiaojun Chang, Heng Wang:
Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos. CoRR abs/2312.10300 (2023) - [i76]Mingfei Han, Linjie Yang, Xiaojie Jin, Jiashi Feng, Xiaojun Chang, Heng Wang:
Video Recognition in Portrait Mode. CoRR abs/2312.13746 (2023) - [i75]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. CoRR abs/2312.16478 (2023) - 2022
- [j92]B. B. Gupta, Pooja Chaudhary, Xiaojun Chang, Nadia Nedjah:
Smart defense against distributed Denial of service attack in IoT networks using supervised learning classifiers. Comput. Electr. Eng. 98: 107726 (2022) - [j91]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Poyao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. ACM Comput. Surv. 54(4): 76:1-76:34 (2022) - [j90]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. ACM Comput. Surv. 54(9): 180:1-180:40 (2022) - [j89]Yao Liu, Lina Yao, Binghao Li, Claude Sammut, Xiaojun Chang:
Interpolation graph convolutional network for 3D point cloud analysis. Int. J. Intell. Syst. 37(12): 12283-12304 (2022) - [j88]En Yu, Jianhua Ma, Jiande Sun, Xiaojun Chang, Huaxiang Zhang, Alexander G. Hauptmann:
Deep Discrete Cross-Modal Hashing with Multiple Supervision. Neurocomputing 486: 215-224 (2022) - [j87]Yihao Li, Tianyu Huang, Yifan Liu, Xiaojun Chang, Gangyi Ding:
Anchor-based crowd formation transformation. Comput. Animat. Virtual Worlds 33(5) (2022) - [j86]Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu, Zhenyu He:
Accurate bounding-box regression with distance-IoU loss for visual tracking. J. Vis. Commun. Image Represent. 83: 103428 (2022) - [j85]Bing Liu, Xiaojun Chang, Di Yuan, Yong Yang:
HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework. Knowl. Based Syst. 238: 107913 (2022) - [j84]Haotian Ren, Wei Lu, Yun Xiao, Xiaojun Chang, Xuanhong Wang, Zhiqiang Dong, Dingyi Fang:
Graph convolutional networks in language and vision: A survey. Knowl. Based Syst. 251: 109250 (2022) - [j83]Jing Li, En Yu, Jianhua Ma, Xiaojun Chang, Huaxiang Zhang, Jiande Sun:
Discrete Fusion Adversarial Hashing for cross-modal retrieval. Knowl. Based Syst. 253: 109503 (2022) - [j82]Shuangquan Zuo, Yun Xiao, Xiaojun Chang, Xuanhong Wang:
Vision transformers for dense prediction: A survey. Knowl. Based Syst. 253: 109552 (2022) - [j81]Lei Lu, Yun Xiao, Xiaojun Chang, Xuanhong Wang, Pengzhen Ren, Zhe Ren:
Deformable attention-oriented feature pyramid network for semantic segmentation. Knowl. Based Syst. 254: 109623 (2022) - [j80]Li Wang, Wei Huang, Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Weidong Su:
Pruning graph neural networks by evaluating edge properties. Knowl. Based Syst. 256: 109847 (2022) - [j79]Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng:
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9733-9740 (2022) - [j78]Dan Song, Wenshu Zhang, Tongwei Ren, Xiaojun Chang:
Editorial paper for pattern recognition letters VSI on multi-view representation learning and multi-modal information representation. Pattern Recognit. Lett. 159: 165-166 (2022) - [j77]Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang, Chen Chen, Anastasios Tefas:
Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. Pattern Recognit. Lett. 160: 9-10 (2022) - [j76]Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng:
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1213-1223 (2022) - [j75]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5175-5186 (2022) - [j74]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j73]Weili Guan, Haokun Wen, Xuemeng Song, Chun Wang, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Partially Supervised Compatibility Modeling. IEEE Trans. Image Process. 31: 4733-4745 (2022) - [j72]Di Yuan, Xiaojun Chang, Zhihui Li, Zhenyu He:
Learning Adaptive Spatial-Temporal Context-Aware Correlation Filters for UAV Tracking. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 70:1-70:18 (2022) - [j71]Brij B. Gupta, Aakanksha Tewari, Ivan Cvitic, Dragan Perakovic, Xiaojun Chang:
Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0. Wirel. Networks 28(1): 493-503 (2022) - [c91]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CVPR 2022: 2980-2989 - [c90]Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan S. Kankanhalli:
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels. CVPR 2022: 6367-6376 - [c89]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CVPR 2022: 10905-10914 - [c88]Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR 2022: 11861-11870 - [c87]Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang:
Beyond Fixation: Dynamic Window Visual Transformer. CVPR 2022: 11977-11987 - [c86]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR 2022: 12476-12486 - [c85]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CVPR 2022: 20624-20633 - [c84]Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang:
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. ECCV (34) 2022: 358-375 - [c83]Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo:
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. EMNLP 2022: 12022-12036 - [c82]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: predictor-assisted evolutionary neural architecture search. GECCO 2022: 1066-1074 - [c81]Yin Yin Low, Angeline Tanvy, Raphaël C.-W. Phan, Xiaojun Chang:
AdverFacial: Privacy-Preserving Universal Adversarial Perturbation Against Facial Micro-Expression Leakages. ICASSP 2022: 2754-2758 - [c80]Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang:
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM 2022: 885-890 - [c79]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. ICML 2022: 9041-9071 - [c78]Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. MICCAI (8) 2022: 715-724 - [c77]Weili Guan, Xuemeng Song, Haoyu Zhang, Meng Liu, Chung-Hsing Yeh, Xiaojun Chang:
Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation. ACM Multimedia 2022: 268-276 - [c76]Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang:
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. SIGIR 2022: 482-491 - [c75]Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR 2022: 1316-1325 - [i74]Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Balancing Generalization and Specialization in Zero-shot Learning. CoRR abs/2201.01961 (2022) - [i73]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. CoRR abs/2202.03680 (2022) - [i72]Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang:
Beyond Fixation: Dynamic Window Visual Transformer. CoRR abs/2203.12856 (2022) - [i71]Chengyou Jia, Minnan Luo, Caixia Yan, Xiaojun Chang, Qinghua Zheng:
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search. CoRR abs/2203.14307 (2022) - [i70]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR abs/2203.14509 (2022) - [i69]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CoRR abs/2204.02148 (2022) - [i68]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search. CoRR abs/2204.12726 (2022) - [i67]Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang:
Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR abs/2205.09934 (2022) - [i66]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - [i65]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CoRR abs/2206.01988 (2022) - [i64]Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling. CoRR abs/2207.01233 (2022) - [i63]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. CoRR abs/2207.05683 (2022) - [i62]Mingjie Li, Xiaoyun Zhao, Rui Liu, Changlin Li, Xiaohan Wang, Xiaojun Chang:
Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting. CoRR abs/2207.07827 (2022) - [i61]Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang:
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection. CoRR abs/2207.10448 (2022) - [i60]Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i59]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. CoRR abs/2210.05556 (2022) - [i58]Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo:
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. CoRR abs/2210.08362 (2022) - [i57]Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang:
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR abs/2210.08458 (2022) - [i56]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang:
MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR abs/2210.13708 (2022) - [i55]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang:
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR abs/2211.02895 (2022) - [i54]Tianyi Wang, Kam-Pui Chow, Xiaojun Chang, Yinglong Wang:
Deepfake Detection: A Comprehensive Study from the Reliability Perspective. CoRR abs/2211.10881 (2022) - [i53]Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. CoRR abs/2212.01103 (2022) - 2021
- [j70]Zhongke Gao, An-An Liu, Yanhui Wang, Michael Small, Xiaojun Chang, Jürgen Kurths:
IEEE Access Special Section Editorial: Big Data Learning and Discovery. IEEE Access 9: 158064-158073 (2021) - [j69]Wei Sun, Xiaojun Chang:
Ground states of a class of gradient systems of Choquard type with general nonlinearity. Appl. Math. Lett. 122: 107503 (2021) - [j68]Brij B. Gupta, Krishna Yadav, Imran Razzak, Konstantinos E. Psannis, Arcangelo Castiglione, Xiaojun Chang:
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. Comput. Commun. 175: 47-57 (2021) - [j67]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable shot identification for complex event detection via visual-semantic embedding. Comput. Vis. Image Underst. 213: 103300 (2021) - [j66]Lanlan Yang, Chuihan Kong, Xiaojun Chang, Sicong Zhao, Yang Cao, Shunli Zhang:
Correlation filters with adaptive convolution response fusion for object tracking. Knowl. Based Syst. 228: 107314 (2021) - [j65]Yun Xiao, Wenlong Lei, Lei Lu, Xiaojun Chang, Xia Zheng, Xiaojiang Chen:
CS-GAN: Cross-Structure Generative Adversarial Networks for Chinese calligraphy translation. Knowl. Based Syst. 229: 107334 (2021) - [j64]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [j63]Weili Guan, Xuemeng Song, Tian Gan, Junyu Lin, Xiaojun Chang, Liqiang Nie:
Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. IEEE Trans. Cybern. 51(9): 4501-4514 (2021) - [j62]Di Yuan, Xiaojun Chang, Po-Yao Huang, Qiao Liu, Zhenyu He:
Self-Supervised Deep Correlation Tracking. IEEE Trans. Image Process. 30: 976-985 (2021) - [j61]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Trans. Intell. Syst. Technol. 12(1): 4:1-4:19 (2021) - [j60]Xu Lu, Li Liu, Liqiang Nie, Xiaojun Chang, Huaxiang Zhang:
Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 23: 4541-4554 (2021) - [j59]Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang:
Introduction to the Special Issue on Fine-grained Visual Computing. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 11:1-11:3 (2021) - [c74]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CVPR 2021: 8607-8617 - [c73]Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. CVPR 2021: 12689-12699 - [c72]Mitchell Hargreaves, David Ting, Stephen Bajan, Kamron Bhavnagri, Richard Bassed, Xiaojun Chang:
A Generative Deep Learning Approach for Forensic Facial Reconstruction. DICTA 2021: 1-7 - [c71]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. FUSION 2021: 1-8 - [c70]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. ICCV 2021: 1624-1634 - [c69]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. ICCV 2021: 8251-8260 - [c68]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV 2021: 12261-12271 - [c67]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. ICLR 2021 - [c66]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
Transformer Based Multi-Agent Framework. ICME Workshops 2021: 1-2 - [c65]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML 2021: 12557-12566 - [c64]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. IJCAI 2021: 4500-4507 - [c63]Weili Guan, Haokun Wen, Xuemeng Song, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. ACM Multimedia 2021: 2299-2307 - [c62]Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang:
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i52]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. CoRR abs/2101.08001 (2021) - [i51]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR abs/2103.12424 (2021) - [i50]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i49]Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation with Graph-based Exploration. CoRR abs/2103.17138 (2021) - [i48]Pengzhen Ren, Gang Xiao, Xiaojun Chang, Yun Xiao, Zhihui Li, Xiaojiang Chen:
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition. CoRR abs/2104.01110 (2021) - [i47]Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
Scene Graphs: A Survey of Generations and Applications. CoRR abs/2104.01111 (2021) - [i46]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. CoRR abs/2105.01605 (2021) - [i45]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. CoRR abs/2106.07876 (2021) - [i44]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR abs/2106.10784 (2021) - [i43]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari:
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective. CoRR abs/2106.11542 (2021) - [i42]Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang:
Deep Learning for Embodied Vision Navigation: A Survey. CoRR abs/2108.04097 (2021) - [i41]Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh, Lina Yao, Andy Song, Xiaojun Chang:
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. CoRR abs/2109.06057 (2021) - [i40]Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object detection. CoRR abs/2109.06062 (2021) - [i39]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR abs/2109.10060 (2021) - [i38]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding. CoRR abs/2110.08063 (2021) - [i37]Zutao Jiang, Changlin Li, Xiaojun Chang, Jihua Zhu, Yi Yang:
Dynamic Slimmable Denoising Network. CoRR abs/2110.08940 (2021) - [i36]Ali Hamdi, Flora D. Salim, Du Yong Kim, Xiaojun Chang:
Signature-Graph Networks. CoRR abs/2110.11551 (2021) - [i35]Di Yuan, Xiaojun Chang, Qiao Liu, Dehua Wang, Zhenyu He:
Active Learning for Deep Visual Tracking. CoRR abs/2110.13259 (2021) - [i34]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR abs/2111.02139 (2021) - [i33]Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR abs/2111.13204 (2021) - 2020
- [j58]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j57]Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang:
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387: 110-122 (2020) - [j56]Amit Kumar Singh, Zhihan Lv, Huimin Lu, Xiaojun Chang:
Guest editorial: Recent trends in multimedia data-hiding: a reliable mean for secure communications. J. Ambient Intell. Humaniz. Comput. 11(5): 1795-1797 (2020) - [j55]Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao:
Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. 210: 106432 (2020) - [j54]Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu:
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. Multim. Tools Appl. 79(21-22): 14889-14902 (2020) - [j53]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann:
Few-shot activity recognition with cross-modal memory network. Pattern Recognit. 108: 107348 (2020) - [j52]Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020) - [j51]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu:
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. 50(7): 3033-3044 (2020) - [j50]Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann:
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. IEEE Trans. Image Process. 29: 8163-8176 (2020) - [j49]Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann:
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. 11(2): 21:1-21:15 (2020) - [j48]Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann:
Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. 22(3): 775-785 (2020) - [j47]Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie:
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1592-1601 (2020) - [j46]Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1747-1756 (2020) - [j45]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen:
Structured Optimal Graph-Based Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3801-3813 (2020) - [j44]Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, Sambit Bakshi:
Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. IEEE Trans. Sustain. Comput. 5(3): 416-427 (2020) - [c61]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. ACL 2020: 8226-8237 - [c60]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c59]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c58]Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. CVPR 2020: 6886-6895 - [c57]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su:
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. CVPR 2020: 7806-7815 - [c56]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. CVPR 2020: 10009-10019 - [c55]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-Modal Memory. CVPR 2020: 10727-10736 - [c54]Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao:
Mining Inter-Video Proposal Relations for Video Object Detection. ECCV (21) 2020: 431-446 - [c53]Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang:
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. IJCAI 2020: 2964-2972 - [c52]Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang:
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020: 297-305 - [c51]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD 2020: 753-763 - [c50]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann, Eduard H. Hovy:
Forward and Backward Multimodal NMT for Improved Monolingual and Multilingual Cross-Modal Retrieval. ICMR 2020: 53-62 - [c49]Weitao Wang, Ruyang Liu, Meng Wang, Sen Wang, Xiaojun Chang, Yang Chen:
Memory-Based Network for Scene Graph with Unbalanced Relations. ACM Multimedia 2020: 2400-2408 - [c48]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c47]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su:
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. NeurIPS 2020 - [c46]Wenhe Liu, Guoliang Kang, Po-Yao Huang, Xiaojun Chang, Lijun Yu, Yijun Qian, Junwei Liang, Liangke Gui, Jing Wen, Peng Chen, Alexander G. Hauptmann:
Argus: Efficient Activity Detection System for Extended Video Analysis. WACV Workshops 2020: 126-133 - [c45]Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu:
Unsupervised Domain Adaptive Graph Convolutional Networks. WWW 2020: 1457-1467 - [i32]Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. CoRR abs/2003.02068 (2020) - [i31]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i30]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-modal Memory. CoRR abs/2003.06745 (2020) - [i29]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. CoRR abs/2005.03119 (2020) - [i28]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR abs/2005.11650 (2020) - [i27]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. CoRR abs/2006.02903 (2020) - [i26]Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. CoRR abs/2006.03744 (2020) - [i25]Zhen Yu, Jennifer Nguyen, Xiaojun Chang, John Kelly, Catriona A. McLean, Lei Zhang, Victoria Mar, Zongyuan Ge:
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images. CoRR abs/2006.10950 (2020) - [i24]Siyi Hu, Xiaojun Chang:
Multi-view Drone-based Geo-localization via Style and Spatial Alignment. CoRR abs/2006.13681 (2020) - [i23]Di Yuan, Xiaojun Chang, Zhenyu He:
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking. CoRR abs/2007.01864 (2020) - [i22]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. CoRR abs/2009.00236 (2020) - [i21]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. CoRR abs/2009.12362 (2020) - [i20]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020)
2010 – 2019
- 2019
- [j43]Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang:
Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recognit. 88: 595-603 (2019) - [j42]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann:
Scheduled sampling for one-shot learning via matching network. Pattern Recognit. 96 (2019) - [j41]Ram Prasad Padhy, Xiaojun Chang, Suman Kumar Choudhury, Pankaj Kumar Sa, Sambit Bakshi:
Multi-stage cascaded deconvolution for depth map and surface normal prediction from single image. Pattern Recognit. Lett. 127: 165-173 (2019) - [j40]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. IEEE Trans. Cybern. 49(2): 388-402 (2019) - [j39]Kun Zhan, Xiaojun Chang, Junpeng Guan, Ling Chen, Zhigang Ma, Yi Yang:
Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. IEEE Trans. Cybern. 49(5): 1826-1834 (2019) - [j38]Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie:
Discrete Multi-Graph Clustering. IEEE Trans. Image Process. 28(9): 4701-4712 (2019) - [j37]En Yu, Jiande Sun, Jing Li, Xiaojun Chang, Xian-Hua Han, Alexander G. Hauptmann:
Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval. IEEE Trans. Multim. 21(5): 1276-1288 (2019) - [j36]Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose Catherine Kanjirathinkal, Mohan S. Kankanhalli:
MMALFM: Explainable Recommendation by Leveraging Reviews and Images. ACM Trans. Inf. Syst. 37(2): 16:1-16:28 (2019) - [c44]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI 2019: 3321-3328 - [c43]Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang:
Domain-Aware Unsupervised Cross-dataset Person Re-identification. ADMA 2019: 406-420 - [c42]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. EMNLP/IJCNLP (1) 2019: 1461-1467 - [c41]En Yu, Jiande Sun, Li Wang, Xiaojun Chang, Huaxiang Zhang, Alexander G. Hauptmann:
Cross-Modal Transfer Hashing Based on Coherent Projection. ICME Workshops 2019: 477-482 - [c40]Po-Yao Huang, Vaibhav, Xiaojun Chang, Alexander G. Hauptmann:
Improving What Cross-Modal Retrieval Models Learn through Object-Oriented Inter- and Intra-Modal Attention Networks. ICMR 2019: 244-252 - [c39]Po-Yao Huang, Guoliang Kang, Wenhe Liu, Xiaojun Chang, Alexander G. Hauptmann:
Annotation Efficient Cross-Modal Retrieval with Adversarial Attentive Alignment. ACM Multimedia 2019: 1758-1767 - [c38]Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, Mengyuan Ma, Siyi Hu, Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, Yijun Qian, Jing Wen, Alexander G. Hauptmann:
MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. TRECVID 2019 - [c37]En Yu, Wenhe Liu, Guoliang Kang, Xiaojun Chang, Jiande Sun, Alexander G. Hauptmann:
Inf@TRECVID 2019: Instance Search Task. TRECVID 2019 - [i19]Imad Rida, Sambit Bakshi, Xiaojun Chang, Hugo Proença:
Forensic Shoe-print Identification: A Brief Survey. CoRR abs/1901.01431 (2019) - [i18]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. CoRR abs/1904.03828 (2019) - [i17]Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan:
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction. CoRR abs/1906.09205 (2019) - [i16]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. CoRR abs/1910.00058 (2019) - [i15]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks. CoRR abs/1911.07883 (2019) - [i14]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - 2018
- [j35]Amit Kumar Singh, Zhihan Lv, Seungmin Rho, Sanjay Kumar Singh, Xiaojun Chang, William Puech:
IEEE Access Special Section Editorial: Information Security Solutions for Telemedicine Applications. IEEE Access 6: 79005-79009 (2018) - [j34]Chen Gong, Zechao Li, Xiaojun Chang, Yong Luo:
Learning-Based Multimedia Analyses and Applications. Adv. Multim. 2018: 2705839:1-2705839:2 (2018) - [j33]Zhicheng Zhao, Xuanchong Li, Xingzhong Du, Qi Chen, Yanyun Zhao, Fei Su, Xiaojun Chang, Alexander G. Hauptmann:
A unified framework with a benchmark dataset for surveillance event detection. Neurocomputing 278: 62-74 (2018) - [j32]Xiaojun Chang, Yan Yan, Liqiang Nie:
Guest Editorial: Semantic Concept Discovery in MM Data. Multim. Tools Appl. 77(3): 2945-2946 (2018) - [j31]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng:
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. Neural Comput. 30(5) (2018) - [j30]De Cheng, Yihong Gong, Xiaojun Chang, Weiwei Shi, Alexander G. Hauptmann, Nanning Zheng:
Deep feature learning via structured graph Laplacian embedding for person re-identification. Pattern Recognit. 82: 94-104 (2018) - [j29]Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. IEEE Trans. Cybern. 48(2): 648-660 (2018) - [j28]Dharma P. Agrawal, Brij Bhooshan Gupta, Haoxiang Wang, Xiaojun Chang, Shingo Yamaguchi, Gregorio Martínez Pérez:
Guest Editorial Deep Learning Models for Industry Informatics. IEEE Trans. Ind. Informatics 14(7): 3166-3169 (2018) - [j27]Wenhe Liu, Xiaojun Chang, Yan Yan, Yi Yang, Alexander G. Hauptmann:
Few-Shot Text and Image Classification via Analogical Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(6): 71:1-71:20 (2018) - [j26]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Adaptive Unsupervised Feature Selection With Structure Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(4): 944-956 (2018) - [j25]Zhigang Ma, Xiaojun Chang, Zhongwen Xu, Nicu Sebe, Alexander G. Hauptmann:
Joint Attributes and Event Analysis for Multimedia Event Detection. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2921-2930 (2018) - [j24]Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang:
Rank-Constrained Spectral Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6073-6082 (2018) - [j23]Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang, Chengqi Zhang, Nicu Sebe:
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6323-6332 (2018) - [j22]Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang:
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6362-6373 (2018) - [c36]Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang:
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. AAAI 2018: 3596-3603 - [c35]Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang:
Semi-Supervised Bayesian Attribute Learning for Person Re-Identification. AAAI 2018: 7162-7169 - [c34]Liangke Gui, Xiaodan Liang, Xiaojun Chang, Alexander G. Hauptmann:
Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition. BMVC 2018: 207 - [c33]Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang:
Reinforcement Cutting-Agent Learning for Video Object Segmentation. CVPR 2018: 9080-9089 - [c32]Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann:
RCAA: Relational Context-Aware Agents for Person Search. ECCV (9) 2018: 86-102 - [c31]Long Liu, Danyang Jing, Xiaojun Chang:
Particle Filtering Based Visual Attention Model for Moving Target Detection. ICNC-FSKD 2018: 1387-1391 - [c30]Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen:
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. IJCAI 2018: 964-970 - [c29]Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang:
Teaching Semi-Supervised Classifier via Generalized Distillation. IJCAI 2018: 2156-2162 - [c28]Jia Chen, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Po-Yao Huang, Junwei Liang, Vaibhav, Xiaojun Chang, Jiang Liu, Ting-Yao Hu, Wenhe Liu, Wei Ke, Wayner Barrios, Haroon Idrees, Donghyun Yoo, Yaser Sheikh, Ruslan Salakhutdinov, Kris Kitani, Dong Huang:
Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. TRECVID 2018 - [i13]Ting-Yao Hu, Xiaojun Chang, Alexander G. Hauptmann:
Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. CoRR abs/1808.01119 (2018) - [i12]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR abs/1811.05299 (2018) - [i11]Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose Catherine Kanjirathinkal, Mohan S. Kankanhalli:
MMALFM: Explainable Recommendation by Leveraging Reviews and Images. CoRR abs/1811.05318 (2018) - 2017
- [j21]Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to complex cross-modal learning to rank. Comput. Vis. Image Underst. 163: 67-77 (2017) - [j20]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean ℓ2, 1-Norm Maximization-Based Robust PCA for Reconstruction. Neural Comput. 29(4): 1124-1150 (2017) - [j19]Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang:
Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. 29(12) (2017) - [j18]Xiaojun Chang, Yaoliang Yu, Yi Yang, Eric P. Xing:
Semantic Pooling for Complex Event Analysis in Untrimmed Videos. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1617-1632 (2017) - [j17]Xiaojun Chang, Zhigang Ma, Yi Yang, Zhiqiang Zeng, Alexander G. Hauptmann:
Bi-Level Semantic Representation Analysis for Multimedia Event Detection. IEEE Trans. Cybern. 47(5): 1180-1197 (2017) - [j16]Liqiang Nie, Luming Zhang, Yan Yan, Xiaojun Chang, Maofu Liu, Ling Shao:
Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Trans. Cybern. 47(11): 3680-3691 (2017) - [j15]Dingwen Zhang, Junwei Han, Lu Jiang, Senmao Ye, Xiaojun Chang:
Revealing Event Saliency in Unconstrained Video Collection. IEEE Trans. Image Process. 26(4): 1746-1758 (2017) - [j14]Xiaojun Chang, Zhigang Ma, Ming Lin, Yi Yang, Alexander G. Hauptmann:
Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection. IEEE Trans. Image Process. 26(8): 3911-3920 (2017) - [j13]Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu:
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction. IEEE Trans. Image Process. 26(10): 5019-5030 (2017) - [j12]Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng, Guodong Long:
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Trans. Knowl. Discov. Data 11(3): 31:1-31:21 (2017) - [j11]Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang:
Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 29(10): 2100-2110 (2017) - [j10]Zhigang Ma, Xiaojun Chang, Yi Yang, Nicu Sebe, Alexander G. Hauptmann:
The Many Shades of Negativity. IEEE Trans. Multim. 19(7): 1558-1568 (2017) - [j9]Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li:
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1508-1519 (2017) - [j8]Xiaojun Chang, Yi Yang:
Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2294-2305 (2017) - [c27]Mingyu Fan, Xiaojun Chang, Dacheng Tao:
Structure Regularized Unsupervised Discriminant Feature Analysis. AAAI 2017: 1870-1876 - [c26]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. AAAI 2017: 2308-2314 - [c25]Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao:
Multi-View Correlated Feature Learning by Uncovering Shared Component. AAAI 2017: 2810-2816 - [c24]Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann:
Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos. ICCV 2017: 736-744 - [c23]De Cheng, Xiaojun Chang, Li Liu, Alexander G. Hauptmann, Yihong Gong, Nanning Zheng:
Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification. IJCAI 2017: 964-970 - [c22]Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du:
Top-k Supervise Feature Selection via ADMM for Integer Programming. IJCAI 2017: 1646-1653 - [c21]Longfei Han, Dingwen Zhang, Dong Huang, Xiaojun Chang, Jun Ren, Senlin Luo, Junwei Han:
Self-paced Mixture of Regressions. IJCAI 2017: 1816-1822 - [c20]Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng:
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. IJCAI 2017: 2421-2427 - [c19]Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng:
How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017: 4040-4046 - [c18]Xiaojun Chang, Yaoliang Yu, Yi Yang:
Robust Top-k Multiclass SVM for Visual Category Recognition. KDD 2017: 75-83 - [c17]Lei Zhu, Zi Huang, Xiaojun Chang, Jingkuan Song, Heng Tao Shen:
Exploring Consistent Preferences: Discrete Hashing with Pair-Exemplar for Scalable Landmark Search. ACM Multimedia 2017: 726-734 - [c16]Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang:
Early Active Learning with Pairwise Constraint for Person Re-identification. ECML/PKDD (1) 2017: 103-118 - [i10]Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to Complex Cross-modal Learning to Rank. CoRR abs/1702.01229 (2017) - 2016
- [b1]Xiaojun Chang:
Exploring semantic concepts for complex event analysis in unconstrained video clips. University of Technology Sydney, Australia, 2016 - [j7]Wenhe Liu, Chenqiang Gao, Xiaojun Chang, Qun Wu:
Unified discriminating feature analysis for visual category recognition. J. Vis. Commun. Image Represent. 40: 772-778 (2016) - [j6]Pengfei Xu, Xia Zheng, Xiaojun Chang, Qiguang Miao, Zhanyong Tang, Xiaojiang Chen, Dingyi Fang:
Artistic information extraction from Chinese calligraphy works via Shear-Guided filter. J. Vis. Commun. Image Represent. 40: 791-807 (2016) - [j5]Sen Wang, Xiaojun Chang, Xue Li, Quan Z. Sheng, Weitong Chen:
Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Process. 120: 746-753 (2016) - [j4]Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang:
Convex Sparse PCA for Unsupervised Feature Learning. ACM Trans. Knowl. Discov. Data 11(1): 3:1-3:16 (2016) - [j3]Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, Quan Z. Sheng:
Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding. IEEE Trans. Knowl. Data Eng. 28(12): 3191-3202 (2016) - [j2]Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang:
Compound Rank-k Projections for Bilinear Analysis. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1502-1513 (2016) - [c15]Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann:
Dynamic Concept Composition for Zero-Example Event Detection. AAAI 2016: 3464-3470 - [c14]Xiaojun Chang, Yaoliang Yu, Yi Yang, Eric P. Xing:
They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers. CVPR 2016: 1884-1893 - [c13]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization. IJCAI 2016: 1802-1808 - [c12]Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao:
Uncovering Locally Discriminative Structure for Feature Analysis. ECML/PKDD (1) 2016: 281-295 - [i9]Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann:
Dynamic Concept Composition for Zero-Example Event Detection. CoRR abs/1601.03679 (2016) - [i8]Shoou-I Yu, Yi Yang, Zhongwen Xu, Shicheng Xu, Deyu Meng, Zexi Mao, Zhigang Ma, Ming Lin, Xuanchong Li, Huan Li, Zhen-Zhong Lan, Lu Jiang, Alexander G. Hauptmann, Chuang Gan, Xingzhong Du, Xiaojun Chang:
Strategies for Searching Video Content with Text Queries or Video Examples. CoRR abs/1606.05705 (2016) - [i7]Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao:
Uncovering Locally Discriminative Structure for Feature Analysis. CoRR abs/1607.02559 (2016) - 2015
- [j1]Yi Yang, Zhigang Ma, Feiping Nie, Xiaojun Chang, Alexander G. Hauptmann:
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization. Int. J. Comput. Vis. 113(2): 113-127 (2015) - [c11]Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou:
A Convex Formulation for Spectral Shrunk Clustering. AAAI 2015: 2532-2538 - [c10]Xiaojun Chang, Yi Yang, Eric P. Xing, Yaoliang Yu:
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM. ICML 2015: 1348-1357 - [c9]Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Eric P. Xing, Yaoliang Yu:
Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection. IJCAI 2015: 2234-2240 - [c8]Shicheng Xu, Huan Li, Xiaojun Chang, Shoou-I Yu, Xingzhong Du, Xuanchong Li, Lu Jiang, Zexi Mao, Zhen-Zhong Lan, Susanne Burger, Alexander G. Hauptmann:
Incremental Multimodal Query Construction for Video Search. ICMR 2015: 675-678 - [c7]Xiaojun Chang, Yaoliang Yu, Yi Yang, Alexander G. Hauptmann:
Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision. ACM Multimedia 2015: 581-590 - [c6]Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng:
Unsupervised Feature Analysis with Class Margin Optimization. ECML/PKDD (1) 2015: 383-398 - [c5]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann:
CMU Informedia@TRECVID 2015: MED/SIN/LNK/SED. TRECVID 2015 - [i6]Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng:
Unsupervised Feature Analysis with Class Margin Optimization. CoRR abs/1506.01330 (2015) - 2014
- [c4]Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. AAAI 2014: 1171-1177 - [c3]Xiaojun Chang, Haoquan Shen, Sen Wang, Jiajun Liu, Xue Li:
Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation. PAKDD (2) 2014: 74-85 - [c2]Shoou-I Yu, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, Zexi Mao, Chuang Gan, Yajie Miao, Xingzhong Du, Yang Cai, Lara J. Martin, Nikolas Wolfe, Anurag Kumar, Huan Li, Ming Lin, Zhigang Ma, Yi Yang, Deyu Meng, Shiguang Shan, Pinar Duygulu Sahin, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Teruko Mitamura, Richard M. Stern, Alexander G. Hauptmann, Anil Armagan, Yicheng Zhao:
Informedia @ TRECVID 2014. TRECVID 2014 - [i5]Xiaojun Chang, Haoquan Shen, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou:
Compound Rank-k Projections for Bilinear Analysis. CoRR abs/1411.6231 (2014) - [i4]Xiaojun Chang, Yi Yang:
Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks. CoRR abs/1411.6232 (2014) - [i3]Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang:
A Convex Sparse PCA for Feature Analysis. CoRR abs/1411.6233 (2014) - [i2]Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang:
Balanced k-Means and Min-Cut Clustering. CoRR abs/1411.6235 (2014) - [i1]Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou:
A Convex Formulation for Spectral Shrunk Clustering. CoRR abs/1411.6308 (2014) - 2012
- [c1]Jiao Cui, Jun Guo, Cangsong Zhang, Xiaojun Chang:
Implementation of random walk algorithm by parallel computing. FSKD 2012: 2477-2481
Coauthor Index
ZongYuan Ge
aka: Zongyuan Ge
aka: Zongyuan Ge
Alex Hauptmann 0001
aka: Alexander G. Hauptmann
aka: Alexander G. Hauptmann
[j113] [j112] [j111] [j88] [c64] [i47] [i46] [j53] [j50] [j49] [j48] [c61] [c60] [c50] [c46] [i31] [i29] [j42] [j37] [c42] [c41] [c40] [c39] [c38] [c37] [i16] [j33] [j30] [j29] [j27] [j26] [j25] [c34] [c32] [c28] [i13] [j21] [j20] [j17] [j14] [j10] [c26] [c24] [c23] [i10] [c15] [c13] [i9] [i8] [j1] [c9] [c8] [c7] [c5] [c2]
[j136] [c114] [c112] [i108] [i106] [i102] [i101] [i98] [i94] [j117] [j110] [j93] [c104] [c102] [c98] [c95] [c93] [i93] [i91] [i89] [i85] [c89] [c87] [c86] [c85] [c79] [i73] [i72] [i70] [i66] [i65] [i63] [i57] [i56] [i53] [c74] [c73] [c70] [c69] [c68] [c67] [c66] [c62] [i52] [i51] [i50] [i49] [i45] [i42] [i39] [j52] [c59] [c56] [c55] [i30] [i26] [i15] [i14] [c34] [c33] [c32]
[j128] [j126] [j122] [j111] [j99] [i89] [c86] [i70] [i55] [i37] [j49] [j48] [j47] [j39] [j29] [j27] [j26] [j24] [j23] [c36] [c35] [c32] [c30] [j20] [j18] [j17] [j14] [j11] [j10] [j8] [c26] [c24] [c18] [c16] [i10] [j4] [j2] [c15] [c14] [c13] [i9] [i8] [j1] [c11] [c10] [c9] [c7] [c5] [c4] [c2] [i5] [i4] [i3] [i2] [i1]
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