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ORCIDJie Song 0011
Person information
- affiliation: Zhejiang University, College of Software Technology, Hangzhou, China
Other persons with the same name
- Jie Song — disambiguation page
- Jie Song 0001
![[0000-0003-0704-3217]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0704-3217")
— Northeastern University, Software College, Shenyang, China - Jie Song 0002 — Peking University, Department of Industrial Engineering and Management, Beijing, China
- Jie Song 0003 — Harbin Institute of Technology, Department of Physics, Harbin, China (and 1 more)
- Jie Song 0004 — Agere Systems, Holmdel, NJ, USA (and 1 more)
- Jie Song 0005 — Nanyang Technological University, Singapore (and 1 more)
- Jie Song 0006 — ETH Zurich, Switzerland
- Jie Song 0007 — Capital University of Economics and Business, Beijing, China
- Jie Song 0008 — Technical University of Madrid, Spain
- Jie Song 0009 — University of Wisconsin-Madison, Department of Biomedical Engineering, USA
- Jie Song 0010 — Anhui University, Hefei, China
- Jie Song 0012 — KU Leuven, Department of Electrical Engineering, Belgium (and 2 more)
- Jie Song 0013 — University of Michigan, Computer Science Engineering, MI, USA
- Jie Song 0014 — Nanjing University of Posts and Telecommunications, Department of Artificial Intelligence, Jiangsu, China (and 2 more)
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2020 – today
- 2025
[j13]Ya Gao, Jing Yang, Minghui Wu, Chenxu Zhao, Anyang Su, Jie Song, Zitong Yu:
DTIA: Disruptive Text-Image Alignment for Countering Text-to-Image Diffusion Model Personalization. Data Sci. Eng. 10(1): 12-23 (2025)- [c50]Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song:
Holistic Semantic Representation for Navigational Trajectory Generation. AAAI 2025: 40-48 - [c49]Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng:
Association Pattern-enhanced Molecular Representation Learning. AAAI 2025: 17599-17607 - [c48]Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song:
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. AAAI 2025: 21482-21490 - [c47]Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu:
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. AAAI 2025: 23018-23026 - [c46]Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Yong Wang, Jie Song, Mingli Song:
Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. KDD (1) 2025: 2204-2215 - [i62]Zhengqi Xu, Han Zheng, Jie Song, Li Sun, Mingli Song:
Training-free Heterogeneous Model Merging. CoRR abs/2501.00061 (2025) - [i61]Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song:
Holistic Semantic Representation for Navigational Trajectory Generation. CoRR abs/2501.02737 (2025) - [i60]Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song:
D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models. CoRR abs/2501.08180 (2025) - [i59]Yi Wang, Mushui Liu, Wanggui He, Longxiang Zhang, Ziwei Huang, Guanghao Zhang, Fangxun Shu, Tao Zhong, Dong She, Zhelun Yu, Haoyuan Li, Weilong Dai, Mingli Song, Jie Song, Hao Jiang:
MINT: Multi-modal Chain of Thought in Unified Generative Models for Enhanced Image Generation. CoRR abs/2503.01298 (2025) - [i58]Jiaqi Han, Jingwen Ye, Shunyu Liu, Haofei Zhang, Jie Song, Zunlei Feng, Mingli Song:
Reinforced Model Merging. CoRR abs/2503.21272 (2025) - [i57]Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song:
Boosting MLLM Reasoning with Text-Debiased Hint-GRPO. CoRR abs/2503.23905 (2025) - 2024
- [j12]Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song:
A Survey of Deep Learning for Low-shot Object Detection. ACM Comput. Surv. 56(5): 113:1-113:37 (2024) - [j11]Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song:
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8157-8172 (2024) - [c45]Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song:
On the Concept Trustworthiness in Concept Bottleneck Models. AAAI 2024: 21161-21168 - [c44]Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song:
Training-Free Pretrained Model Merging. CVPR 2024: 5915-5925 - [c43]Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song:
On the Evaluation Consistency of Attribution-Based Explanations. ECCV (70) 2024: 206-224 - [c42]Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin:
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. IJCAI 2024: 1516-1524 - [c41]Tianhong Gao, Jie Song, Xiaotian Yu, Shengxuming Zhang, Wenjie Liang, Hongbin Zhang, Ziqian Li, Wenzhuo Zhang, Xiuming Zhang, Zipeng Zhong, Mingli Song, Zunlei Feng:
Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. MICCAI (11) 2024: 415-425 - [c40]Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song:
Association Pattern-aware Fusion for Biological Entity Relationship Prediction. NeurIPS 2024 - [i56]Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Jie Song, Mingli Song:
Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. CoRR abs/2401.02771 (2024) - [i55]Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song:
Training-Free Pretrained Model Merging. CoRR abs/2403.01753 (2024) - [i54]Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen:
Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR abs/2403.06382 (2024) - [i53]Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song:
On the Concept Trustworthiness in Concept Bottleneck Models. CoRR abs/2403.14349 (2024) - [i52]Yijun Bei, Hengrui Lou, Jinsong Geng, Erteng Liu, Lechao Cheng, Jie Song, Mingli Song, Zunlei Feng:
A Large-scale Universal Evaluation Benchmark For Face Forgery Detection. CoRR abs/2406.09181 (2024) - [i51]Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song:
PruningBench: A Comprehensive Benchmark of Structural Pruning. CoRR abs/2406.12315 (2024) - [i50]Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song:
On the Evaluation Consistency of Attribution-based Explanations. CoRR abs/2407.19471 (2024) - [i49]Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song:
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. CoRR abs/2409.17920 (2024) - [i48]Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song:
LG-CAV: Train Any Concept Activation Vector with Language Guidance. CoRR abs/2410.10308 (2024) - [i47]Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song:
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. CoRR abs/2412.03177 (2024) - 2023
- [j10]Haoling Li, Mengqi Xue, Jie Song, Haofei Zhang, Wenqi Huang, Lingyu Liang, Mingli Song:
Constituent Attention for Vision Transformers. Comput. Vis. Image Underst. 237: 103838 (2023) - [j9]Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song:
Knowledge Amalgamation for Object Detection With Transformers. IEEE Trans. Image Process. 32: 2093-2106 (2023) - [j8]Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. IEEE Trans. Knowl. Data Eng. 35(8): 7898-7908 (2023) - [j7]Bingde Hu, Xingen Wang, Zunlei Feng, Jie Song, Ji Zhao, Mingli Song, Xinyu Wang:
HSDN: A High-Order Structural Semantic Disentangled Neural Network. IEEE Trans. Knowl. Data Eng. 35(9): 8742-8756 (2023) - [j6]Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. IEEE Trans. Knowl. Data Eng. 35(10): 10151-10165 (2023) - [j5]Shunyu Liu, Kai-Xuan Chen, Na Yu, Jie Song, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7403-7414 (2023) - [c39]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. AAAI 2023: 11595-11603 - [c38]Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song:
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CVPR 2023: 20176-20185 - [c37]Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song:
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. ICCV 2023: 2011-2020 - [c36]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. ICCV 2023: 6102-6112 - [c35]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. ICLR 2023 - [c34]Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song:
Lookaround Optimizer: k steps around, 1 step average. NeurIPS 2023 - [i46]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) - [i45]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. CoRR abs/2303.06635 (2023) - [i44]Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song:
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CoRR abs/2303.14666 (2023) - [i43]Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR abs/2304.07503 (2023) - [i42]Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song:
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? CoRR abs/2305.17352 (2023) - [i41]Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song:
Lookaround Optimizer: k steps around, 1 step average. CoRR abs/2306.07684 (2023) - [i40]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. CoRR abs/2309.11013 (2023) - [i39]Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song:
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. CoRR abs/2311.16807 (2023) - 2022
- [j4]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) - [j3]Ying Chen, Jie Song, Mingli Song:
Hierarchical gate network for fine-grained visual recognition. Neurocomputing 470: 170-181 (2022) - [j2]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) - [j1]Jie Song, Ying Chen, Jingwen Ye, Mingli Song:
Spot-Adaptive Knowledge Distillation. IEEE Trans. Image Process. 31: 3359-3370 (2022) - [c33]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 - [c32]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. AAAI 2022: 3117-3124 - [c31]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 - [c30]Wenqi Huang, Qunsheng Zeng, Peng Li, Ailing Jia, Jie Song, Mingli Song:
A Novelty Adversarial Loss for Classifying Unbalanced Anomaly Images. CISP-BMEI 2022: 1-6 - [c29]Peng Li, Wenqi Huang, Yang Wu, Senjing Yao, Ailing Jia, Jie Song, Mingli Song:
An object detection method based on improved YOLOX. CISP-BMEI 2022: 1-6 - [c28]Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Meta-attention for ViT-backed Continual Learning. CVPR 2022: 150-159 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu:
Learning Domain Adaptive Object Detection with Probabilistic Teacher. ICML 2022: 3040-3055 - [c21]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 - [c20]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 - [i38]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) - [i37]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) - [i36]Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Meta-attention for ViT-backed Continual Learning. CoRR abs/2203.11684 (2022) - [i35]Jie Song, Ying Chen, Jingwen Ye, Mingli Song:
Spot-adaptive Knowledge Distillation. CoRR abs/2205.02399 (2022) - [i34]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) - [i33]Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu:
Learning Domain Adaptive Object Detection with Probabilistic Teacher. CoRR abs/2206.06293 (2022) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song:
A Survey of Neural Trees. CoRR abs/2209.03415 (2022) - [i24]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) - [i23]Yunpeng Qing, Shunyu Liu, Jie Song, Mingli Song:
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. CoRR abs/2211.06665 (2022) - [i22]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) - [i21]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
- [c19]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI 2021: 2541-2549 - [c18]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CVPR 2021: 3350-3360 - [c17]Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song:
Tree-Like Decision Distillation. CVPR 2021: 13488-13497 - [c16]Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song:
Self-born Wiring for Neural Trees. ICCV 2021: 5027-5036 - [c15]Mengqi Xue, Jie Song, Li Sun, Mingli Song:
Tree-Like Branching Network for Multi-class Classification. ICO 2021: 175-184 - [c14]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380 - [c13]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 - [c12]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 - [c11]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 - [i20]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CoRR abs/2103.00430 (2021) - [i19]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) - [i18]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) - [i17]Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. CoRR abs/2109.14333 (2021) - [i16]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) - [i15]Qihan Huang, Haofei Zhang, Jie Song, Mingli Song:
A Survey of Deep Learning for Low-Shot Object Detection. CoRR abs/2112.02814 (2021) - [i14]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) - [i13]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. CoRR abs/2112.03695 (2021) - [i12]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) - [i11]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) - 2020
- [c10]Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song:
Faster Self-adaptive Deep Stereo. ACCV (1) 2020: 175-191 - [c9]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR 2020: 3921-3929 - [i10]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR abs/2003.07496 (2020) - [i9]Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song:
Impression Space from Deep Template Network. CoRR abs/2007.05441 (2020) - [i8]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR abs/2012.04915 (2020)
2010 – 2019
- 2019
- [c8]Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. AAAI 2019: 3068-3075 - [c7]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV 2019: 3503-3512 - [c6]Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. NeurIPS 2019: 6179-6189 - [i7]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR abs/1908.07121 (2019) - [i6]Gang Hu, Lingbo Liu, Dacheng Tao, Jie Song, K. C. S. Kwok:
Investigation of wind pressures on tall building under interference effects using machine learning techniques. CoRR abs/1908.07307 (2019) - [i5]Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. CoRR abs/1909.11902 (2019) - [i4]Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song:
Data-Free Adversarial Distillation. CoRR abs/1912.11006 (2019) - 2018
- [c5]Li Sun, Jie Song, Cheng Hua, Chengchao Shen, Mingli Song:
Value-Aware Resampling and Loss for Imbalanced Classification. CSAE 2018: 21:1-21:6 - [c4]Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song:
Transductive Unbiased Embedding for Zero-Shot Learning. CVPR 2018: 1024-1033 - [c3]Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song:
Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) 2018: 474-490 - [c2]Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun, Mingli Song:
Intra-class Structure Aware Networks for Screen Defect Detection. ICONIP (4) 2018: 476-485 - [i3]Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song:
Transductive Unbiased Embedding for Zero-Shot Learning. CoRR abs/1803.11320 (2018) - [i2]Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song:
Selective Zero-Shot Classification with Augmented Attributes. CoRR abs/1807.07437 (2018) - [i1]Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. CoRR abs/1811.02796 (2018) - 2017
- [c1]Jie Song, Yun Shen, Yongcheng Jing, Mingli Song:
Towards Deeper Insights into Deep Learning from Imbalanced Data. CCCV (1) 2017: 674-684
Coauthor Index
[c50] [c49] [c48] [c47] [c46] [i62] [i61] [i60] [i59] [i58] [i57] [j12] [j11] [c45] [c44] [c43] [c42] [c41] [c40] [i56] [i55] [i53] [i52] [i51] [i50] [i48] [i47] [j10] [j9] [j8] [j7] [j6] [j5] [c39] [c38] [c37] [c36] [c35] [c34] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [j4] [j3] [j2] [j1] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [i38] [i37] [i36] [i35] [i34] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c10] [c9] [i10] [i9] [i8] [c8] [c7] [c6] [i7] [i5] [i4] [c5] [c4] [c3] [c2] [i3] [i2] [i1] [c1]
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