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2020 – today
- 2023
[j82]Yang Gao, Zunlei Feng, Xiaoyang Wang, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Reinforcement learning based web crawler detection for diversity and dynamics. Neurocomputing 520: 115-128 (2023)- [i85]Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Tingjun Hou, Mingli Song:
Recent advances in artificial intelligence for retrosynthesis. CoRR abs/2301.05864 (2023) - [i84]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CoRR abs/2301.12900 (2023) - [i83]Yuanyu Wan, Lijun Zhang, Mingli Song:
Improved Dynamic Regret for Online Frank-Wolfe. CoRR abs/2302.05620 (2023) - [i82]Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song:
Team DETR: Guide Queries as a Professional Team in Detection Transformers. CoRR abs/2302.07116 (2023) - [i81]Shenghao Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. CoRR abs/2302.07676 (2023) - [i80]Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song:
Model Doctor for Diagnosing and Treating Segmentation Error. CoRR abs/2302.08980 (2023) - [i79]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. CoRR abs/2303.06635 (2023) - 2022
- [j81]Lingxiang Jia, Zunlei Feng, Haotian Zhang, Jie Song, Zipeng Zhong, Shaolun Yao, Mingli Song
:
Explainable Fragment-Based Molecular Property Attribution. Adv. Intell. Syst. 4(10) (2022) - [j80]Ying Chen, Jie Song, Mingli Song:
Hierarchical gate network for fine-grained visual recognition. Neurocomputing 470: 170-181 (2022) - [j79]Renjun Xu, Shuoying Liang, Lanyu Wen, Zhitong Guo, Xinyue Huang, Mingli Song, Jindong Wang, Xiaoxiao Xu, Huajun Chen:
Hierarchical knowledge amalgamation with dual discriminative feature alignment. Inf. Sci. 613: 556-574 (2022) - [j78]Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song:
Learn decision trees with deep visual primitives. J. Vis. Commun. Image Represent. 89: 103682 (2022) - [j77]Wenwen Pan, Yanling Yin, Xinchao Wang, Yongcheng Jing, Mingli Song:
Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7871-7884 (2022) - [j76]Mingli Song, Lijie Han, Witold Pedrycz:
A comprehensive study on effect of multi-subgroup background in group decision-making. Soft Comput. 26(24): 13543-13566 (2022) - [j75]Jiawei Chen, Jian Wang, Xinchao Wang, Xingen Wang, Zunlei Feng, Ruitao Liu, Mingli Song:
CoEvo-Net: Coevolution Network for Video Highlight Detection. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3788-3797 (2022) - [j74]Jie Song, Ying Chen, Jingwen Ye, Mingli Song:
Spot-Adaptive Knowledge Distillation. IEEE Trans. Image Process. 31: 3359-3370 (2022) - [j73]Yunzhi Hao, Xinchao Wang, Xingen Wang, Xinyu Wang, Chun Chen, Mingli Song:
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. IEEE Trans. Knowl. Data Eng. 34(12): 6047-6060 (2022) - [c145]Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. AAAI 2022: 616-624 - [c144]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. AAAI 2022: 3117-3124 - [c143]Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-Free Knowledge Distillation. AAAI 2022: 6597-6604 - [c142]Hui Su, Yue Ye, Zhiwei Chen, Mingli Song, Lechao Cheng:
Re-Attention Transformer for Weakly Supervised Object Localization. BMVC 2022: 70 - [c141]Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Meta-attention for ViT-backed Continual Learning. CVPR 2022: 150-159 - [c140]Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang:
Slimmable Domain Adaptation. CVPR 2022: 7131-7140 - [c139]Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CVPR 2022: 8934-8943 - [c138]Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang:
Label Matching Semi-Supervised Object Detection. CVPR 2022: 14361-14370 - [c137]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. ECCV (11) 2022: 87-103 - [c136]Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. ECCV (25) 2022: 110-128 - [c135]Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. ECCV (7) 2022: 111-128 - [c134]Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu:
Attention Diversification for Domain Generalization. ECCV (34) 2022: 322-340 - [c133]Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao:
Topology-aware Generalization of Decentralized SGD. ICML 2022: 27479-27503 - [c132]Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang:
Comparison Knowledge Translation for Generalizable Image Classification. IJCAI 2022: 2966-2972 - [c131]Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song:
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. IJCNN 2022: 1-8 - [c130]Shaolun Yao, Zunlei Feng, Jie Song, Lingxiang Jia, Zipeng Zhong, Mingli Song:
Chemical Property Relation Guided Few-Shot Molecular Property Prediction. IJCNN 2022: 1-8 - [c129]Cong Wang, Mingli Song:
Multi-grained Cascade Interaction Network for Temporal Activity Localization via Language. PRCV (1) 2022: 449-461 - [c128]Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen:
PreQR: Pre-training Representation for SQL Understanding. SIGMOD Conference 2022: 204-216 - [i78]Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song:
Knowledge Amalgamation for Object Detection with Transformers. CoRR abs/2203.03187 (2022) - [i77]Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Min Wu, Tingjun Hou, Mingli Song:
Root-aligned SMILES for Molecular Retrosynthesis Prediction. CoRR abs/2203.11444 (2022) - [i76]Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Meta-attention for ViT-backed Continual Learning. CoRR abs/2203.11684 (2022) - [i75]Jiacong Hu, Jing Gao, Zunlei Feng, Lechao Cheng, Jie Lei, Hujun Bao, Mingli Song:
CNN LEGO: Disassembling and Assembling Convolutional Neural Network. CoRR abs/2203.13453 (2022) - [i74]Jie Song, Ying Chen, Jingwen Ye, Mingli Song:
Spot-adaptive Knowledge Distillation. CoRR abs/2205.02399 (2022) - [i73]Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang:
Comparison Knowledge Translation for Generalizable Image Classification. CoRR abs/2205.03633 (2022) - [i72]Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song:
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. CoRR abs/2205.06576 (2022) - [i71]Gaoang Wang, Mingli Song, Jenq-Neng Hwang:
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey. CoRR abs/2205.10766 (2022) - [i70]Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang:
Label Matching Semi-Supervised Object Detection. CoRR abs/2206.06608 (2022) - [i69]Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang:
Slimmable Domain Adaptation. CoRR abs/2206.06620 (2022) - [i68]Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao:
Topology-aware Generalization of Decentralized SGD. CoRR abs/2206.12680 (2022) - [i67]Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. CoRR abs/2207.01955 (2022) - [i66]Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song:
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. CoRR abs/2207.03902 (2022) - [i65]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. CoRR abs/2207.08224 (2022) - [i64]Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. CoRR abs/2207.11681 (2022) - [i63]Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. CoRR abs/2207.11789 (2022) - [i62]Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song:
Federated Selective Aggregation for Knowledge Amalgamation. CoRR abs/2207.13309 (2022) - [i61]Hui Su, Yue Ye, Zhiwei Chen, Mingli Song, Lechao Cheng:
Re-Attention Transformer for Weakly Supervised Object Localization. CoRR abs/2208.01838 (2022) - [i60]Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song:
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. CoRR abs/2208.10431 (2022) - [i59]Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song:
A Survey of Neural Trees. CoRR abs/2209.03415 (2022) - [i58]Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu:
Attention Diversification for Domain Generalization. CoRR abs/2210.04206 (2022) - [i57]Yunpeng Qing, Shunyu Liu, Jie Song, Mingli Song:
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. CoRR abs/2211.06665 (2022) - [i56]Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song:
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. CoRR abs/2211.12712 (2022) - [i55]Siqi Fan, Fenghua Zhu, Zunlei Feng, Yisheng Lv, Mingli Song, Fei-Yue Wang:
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation. CoRR abs/2211.16701 (2022) - [i54]Hui Su, Yue Ye, Wei Hua, Lechao Cheng, Mingli Song:
SASFormer: Transformers for Sparsely Annotated Semantic Segmentation. CoRR abs/2212.02019 (2022) - [i53]Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. CoRR abs/2212.05946 (2022) - 2021
- [j72]Mingli Song, Guangshe Jia:
Performance and Productivity of Regional Air Transport Systems in China. ISPRS Int. J. Geo Inf. 10(2): 83 (2021) - [j71]Zunlei Feng, Yongming He, Yike Yuan, Li Sun, Huiqiong Wang, Mingli Song:
Disassembling object representations without labels. Neurocomputing 461: 162-170 (2021) - [j70]Mingli Song, Yapeng Liu:
A development framework of granular prototypes with an allocation of information granularity. Inf. Sci. 573: 154-170 (2021) - [c127]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. AAAI 2021: 1325-1333 - [c126]Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. AAAI 2021: 1334-1342 - [c125]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI 2021: 2541-2549 - [c124]Xiaotian Yu, Zunlei Feng, Yuexuan Wang, Thomas Kwok To Li, Xiuming Zhang, Mingli Song:
Tendentious Noise-rectifying Framework for Pathological HCC Grading. BMVC 2021: 151 - [c123]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CVPR 2021: 3350-3360 - [c122]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. CVPR 2021: 7772-7781 - [c121]Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song:
Tree-Like Decision Distillation. CVPR 2021: 13488-13497 - [c120]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Amalgamating Knowledge From Heterogeneous Graph Neural Networks. CVPR 2021: 15709-15718 - [c119]Lijie Han, Mingli Song, Witold Pedrycz:
An Approach to Determine Best Cutting-points in Group Decision Making Problems with Information Granules. FUZZ-IEEE 2021: 1-6 - [c118]Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. ICBK 2021: 393-401 - [c117]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song:
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. ICCV 2021: 4016-4025 - [c116]Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song:
Self-born Wiring for Neural Trees. ICCV 2021: 5027-5036 - [c115]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. ICCV 2021: 5281-5290 - [c114]Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang:
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. ICCV 2021: 9856-9866 - [c113]Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan:
Online Knowledge Distillation for Efficient Pose Estimation. ICCV 2021: 11720-11730 - [c112]Jie Lei, Zhao Liu, Mingli Song, Juan Xu, Jianping Shen, Ronghua Liang:
Flexible Knowledge Distillation with an Evolutional Network Population. ICME 2021: 1-6 - [c111]Ya Zhao, Cheng Ma, Zunlei Feng, Mingli Song:
Speech Guided Disentangled Visual Representation Learning for Lip Reading. ICMI 2021: 687-691 - [c110]Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Tree-Like Branching Network for Multi-class Classification. ICO 2021: 175-184 - [c109]Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song:
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. ICO 2021: 555-565 - [c108]Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. IJCAI 2021: 629-635 - [c107]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380 - [c106]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI 2021: 3228-3234 - [c105]Jiacong Hu, Zunlei Feng, Yining Mao, Jie Lei, Dan Yu, Mingli Song:
A Location Constrained Dual-Branch Network for Reliable Diagnosis of Jaw Tumors and Cysts. MICCAI (7) 2021: 723-732 - [c104]Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song:
Shape Controllable Virtual Try-on for Underwear Models. ACM Multimedia 2021: 563-572 - [c103]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932 - [c102]Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song:
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. PRCV (4) 2021: 201-213 - [i52]Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. CoRR abs/2101.03464 (2021) - [i51]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CoRR abs/2103.00430 (2021) - [i50]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR abs/2105.04181 (2021) - [i49]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR abs/2105.08584 (2021) - [i48]Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song:
Shape Controllable Virtual Try-on for Underwear Models. CoRR abs/2107.13156 (2021) - [i47]Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. CoRR abs/2108.00379 (2021) - [i46]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. CoRR abs/2108.00384 (2021) - [i45]Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. CoRR abs/2108.01075 (2021) - [i44]Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan:
Online Knowledge Distillation for Efficient Pose Estimation. CoRR abs/2108.02092 (2021) - [i43]Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang:
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. CoRR abs/2108.06029 (2021) - [i42]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. CoRR abs/2109.12872 (2021) - [i41]Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. CoRR abs/2109.14333 (2021) - [i40]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR abs/2110.15094 (2021) - [i39]Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. CoRR abs/2111.11886 (2021) - [i38]Qihan Huang, Haofei Zhang, Jie Song, Mingli Song:
A Survey of Deep Learning for Low-Shot Object Detection. CoRR abs/2112.02814 (2021) - [i37]Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CoRR abs/2112.03552 (2021) - [i36]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. CoRR abs/2112.03695 (2021) - [i35]Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. CoRR abs/2112.04934 (2021) - [i34]Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-free Knowledge Distillation. CoRR abs/2112.06253 (2021) - [i33]Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song:
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. CoRR abs/2112.08836 (2021) - 2020
- [j69]Mingli Song, Yukai Jing:
Granular neural networks: The development of granular input spaces and parameters spaces through a hierarchical allocation of information granularity. Inf. Sci. 517: 148-166 (2020) - [j68]Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song:
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. IEEE Trans. Image Process. 29: 1177-1191 (2020) - [j67]Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song:
Neural Style Transfer: A Review. IEEE Trans. Vis. Comput. Graph. 26(11): 3365-3385 (2020) - [c101]