Jie Song - RankMe

151 papers A* 44A 3B 2Misc 1Journal 87Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	D CoRR Ruizhi Wang, Weihan Li, Zunlei Feng, Haofei Zhang, Mingli Song, Jiayu Wang, Jie Song, Li Sun
2026	A*	`conf`	D3-RSMDE: 40× Faster and High-Fidelity Remote Sensing Monocular Depth Estimation. AAAI Ruizhi Wang, Weihan Li, Zunlei Feng, Haofei Zhang, Mingli Song, Jiayu Wang, Jie Song, Li Sun
2026	A*	`conf`	Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation. AAAI Chenggong Hu, Yi Wang, Mengqi Xue, Haofei Zhang, Jie Song, Li Sun
2026	J	`jnl`	Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation. CoRR Chenggong Hu, Yi Wang, Mengqi Xue, Haofei Zhang, Jie Song, Li Sun
2026	J	`jnl`	SpatiaLQA: A Benchmark for Evaluating Spatial Logical Reasoning in Vision-Language Models. CoRR Yuechen Xie, Xiaoyan Zhang, Yicheng Shan, Hao Zhu, Rui Tang, Rong Wei, Mingli Song, Yuanyu Wan, Jie Song
2025	A*	`conf`	A Large-scale Universal Evaluation Benchmark For Face Forgery Detection. ACM Multimedia Hengrui Lou, Zunlei Feng, Jinsong Geng, Erteng Liu, Lechao Cheng, Jie Lei, Jie Song, Mingli Song, Yijun Bei
2025	J	`jnl`	A Survey of Neural Trees: Co-Evolving Neural Networks and Decision Trees. IEEE Trans. Neural Networks Learn. Syst. Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Mingli Song
2025	A*	`conf`	Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. AAAI Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song
2025	A*	`conf`	Association Pattern-enhanced Molecular Representation Learning. AAAI Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng
2025	J	`jnl`	Boosting MLLM Reasoning with Text-Debiased Hint-GRPO. CoRR Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song
2025	A	`conf`	CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. AAMAS Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song
2025	A*	`conf`	CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. IJCAI Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song
2025	A*	`conf`	Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. AAAI Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu
2025	J	`jnl`	D CoRR Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song
2025	J	`jnl`	DTIA: Disruptive Text-Image Alignment for Countering Text-to-Image Diffusion Model Personalization. Data Sci. Eng. Ya Gao, Jing Yang, Minghui Wu, Chenxu Zhao, Anyang Su, Jie Song, Zitong Yu
2025	J	`jnl`	Dataset Ownership Verification for Pre-trained Masked Models. CoRR Yuechen Xie, Jie Song, Yicheng Shan, Xiaoyan Zhang, Yuanyu Wan, Shengxuming Zhang, Jiarui Duan, Mingli Song
2025	J	`jnl`	Diffusion Model Quantization: A Review. CoRR Qian Zeng, Chenggong Hu, Mingli Song, Jie Song
2025	A*	`conf`	Holistic Semantic Representation for Navigational Trajectory Generation. AAAI Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song
2025	J	`jnl`	Holistic Semantic Representation for Navigational Trajectory Generation. CoRR Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song
2025	J	`jnl`	Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation. CoRR Junshu Dai, Yu Wang, Tongya Zheng, Wei Ji, Qinghong Guo, Ji Cao, Jie Song, Canghong Jin, Mingli Song
2025	J	`jnl`	MINT: Multi-modal Chain of Thought in Unified Generative Models for Enhanced Image Generation. CoRR 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
2025	A*	`conf`	PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. CVPR Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song
2025	—	`conf`	Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. KDD (1) Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Yong Wang, Jie Song, Mingli Song
2025	J	`jnl`	Quantizing Diffusion Models from a Sampling-Aware Perspective. CoRR Qian Zeng, Jie Song, Yuanyu Wan, Huiqiong Wang, Mingli Song
2025	J	`jnl`	RS3DBench: A Comprehensive Benchmark for 3D Spatial Perception in Remote Sensing. CoRR Jiayu Wang, Ruizhi Wang, Jie Song, Haofei Zhang, Mingli Song, Zunlei Feng, Li Sun
2025	A	`conf`	Reinforced Model Merging. ICME Jiaqi Han, Jingwen Ye, Shunyu Liu, Haofei Zhang, Jie Song, Zunlei Feng, Mingli Song
2025	J	`jnl`	Reinforced Model Merging. CoRR Jiaqi Han, Jingwen Ye, Shunyu Liu, Haofei Zhang, Jie Song, Zunlei Feng, Mingli Song
2025	A*	`conf`	Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. AAAI Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song
2025	A*	`conf`	STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification. ICML Hengrui Lou, Zunlei Feng, Jinsong Geng, Erteng Liu, Jie Lei, Lechao Cheng, Jie Song, Mingli Song, Yijun Bei
2025	J	`jnl`	Syn-GRPO: Self-Evolving Data Synthesis for MLLM Perception Reasoning. CoRR Qihan Huang, Haofei Zhang, Rong Wei, Yi Wang, Rui Tang, Mingli Song, Jie Song
2025	A	`conf`	TED-DTMoA: Tri-Comparison Expertise Decision for Drug-Target Mechanism of Action. ECAI Lingxiang Jia, Zipeng Zhong, Shaolun Yao, Jie Song, Mingli Song, Zunlei Feng
2025	J	`jnl`	Training-free Heterogeneous Model Merging. CoRR Zhengqi Xu, Han Zheng, Jie Song, Li Sun, Mingli Song
2025	A*	`conf`	VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting. IJCAI Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song, Mingli Song
2025	Misc	`conf`	pFedFace: Personalized Federated Learning for Face Recognition. ICASSP Ya Gao, Anyang Su, Chenxu Zhao, Jie Song
2024	J	`jnl`	A Large-scale Universal Evaluation Benchmark For Face Forgery Detection. CoRR Yijun Bei, Hengrui Lou, Jinsong Geng, Erteng Liu, Lechao Cheng, Jie Song, Mingli Song, Zunlei Feng
2024	J	`jnl`	A Survey of Deep Learning for Low-shot Object Detection. ACM Comput. Surv. Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song
2024	A*	`conf`	Association Pattern-aware Fusion for Biological Entity Relationship Prediction. NeurIPS Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song
2024	J	`jnl`	FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning. CoRR Qingsong Lv, Jiasheng Sun, Sheng Zhou, Xu Zhang, Liangcheng Li, Yun Gao, Sun Qiao, Jie Song, Jiajun Bu
2024	J	`jnl`	Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song
2024	A*	`conf`	LG-CAV: Train Any Concept Activation Vector with Language Guidance. NeurIPS Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song
2024	J	`jnl`	LG-CAV: Train Any Concept Activation Vector with Language Guidance. CoRR Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song
2024	—	`conf`	Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. MICCAI (11) Tianhong Gao, Jie Song, Xiaotian Yu, Shengxuming Zhang, Wenjie Liang, Hongbin Zhang, Ziqian Li, Wenzhuo Zhang, Xiuming Zhang, Zipeng Zhong, Mingli Song, Zunlei Feng
2024	A*	`conf`	On the Concept Trustworthiness in Concept Bottleneck Models. AAAI Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song
2024	J	`jnl`	On the Concept Trustworthiness in Concept Bottleneck Models. CoRR Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song
2024	—	`conf`	On the Evaluation Consistency of Attribution-Based Explanations. ECCV (70) Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song
2024	J	`jnl`	On the Evaluation Consistency of Attribution-based Explanations. CoRR Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song
2024	J	`jnl`	PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. CoRR Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song
2024	J	`jnl`	Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. CoRR Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Yong Wang, Jie Song, Mingli Song
2024	J	`jnl`	Pre-Trained Model Recommendation for Downstream Fine-tuning. CoRR Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen
2024	A*	`conf`	ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. IJCAI Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin
2024	J	`jnl`	PruningBench: A Comprehensive Benchmark of Structural Pruning. CoRR Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song
2024	J	`jnl`	Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. CoRR Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song
2024	A*	`conf`	Training-Free Pretrained Model Merging. CVPR Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song
2024	J	`jnl`	Training-Free Pretrained Model Merging. CoRR Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song
2023	J	`jnl`	Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. CoRR Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song
2023	J	`jnl`	Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. IEEE Trans. Syst. Man Cybern. Syst. Shunyu Liu, Kai-Xuan Chen, Na Yu, Jie Song, Zunlei Feng, Mingli Song
2023	J	`jnl`	Constituent Attention for Vision Transformers. Comput. Vis. Image Underst. Haoling Li, Mengqi Xue, Jie Song, Haofei Zhang, Wenqi Huang, Lingyu Liang, Mingli Song
2023	A*	`conf`	Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. AAAI Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song
2023	J	`jnl`	Distribution Knowledge Embedding for Graph Pooling. IEEE Trans. Knowl. Data Eng. Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song
2023	A*	`conf`	Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. ICCV Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song
2023	A*	`conf`	Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CVPR Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song
2023	J	`jnl`	Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CoRR Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song
2023	J	`jnl`	HSDN: A High-Order Structural Semantic Disentangled Neural Network. IEEE Trans. Knowl. Data Eng. Bingde Hu, Xingen Wang, Zunlei Feng, Jie Song, Ji Zhao, Mingli Song, Xinyu Wang
2023	J	`jnl`	Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? CoRR Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song
2023	J	`jnl`	Knowledge Amalgamation for Object Detection With Transformers. IEEE Trans. Image Process. Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
2023	A*	`conf`	Lookaround Optimizer: k steps around, 1 step average. NeurIPS Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song
2023	J	`jnl`	Lookaround Optimizer: k steps around, 1 step average. CoRR Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song
2023	A*	`conf`	ModelGiF: Gradient Fields for Model Functional Distance. ICCV Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song
2023	J	`jnl`	ModelGiF: Gradient Fields for Model Functional Distance. CoRR Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song
2023	J	`jnl`	Recent advances in artificial intelligence for retrosynthesis. CoRR Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Tingjun Hou, Mingli Song
2023	A*	`conf`	Schema Inference for Interpretable Image Classification. ICLR Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song
2023	J	`jnl`	Schema Inference for Interpretable Image Classification. CoRR Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song
2023	J	`jnl`	Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen
2023	J	`jnl`	Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. IEEE Trans. Knowl. Data Eng. Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen
2022	—	`conf`	A Novelty Adversarial Loss for Classifying Unbalanced Anomaly Images. CISP-BMEI Wenqi Huang, Qunsheng Zeng, Peng Li, Ailing Jia, Jie Song, Mingli Song
2022	J	`jnl`	A Survey of Neural Trees. CoRR Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song
2022	J	`jnl`	A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. CoRR Yunpeng Qing, Shunyu Liu, Jie Song, Mingli Song
2022	—	`conf`	An object detection method based on improved YOLOX. CISP-BMEI Peng Li, Wenqi Huang, Yang Wu, Senjing Yao, Ailing Jia, Jie Song, Mingli Song
2022	J	`jnl`	Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. CoRR Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song
2022	—	`conf`	Attention Diversification for Domain Generalization. ECCV (34) Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu
2022	J	`jnl`	Attention Diversification for Domain Generalization. CoRR Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu
2022	A*	`conf`	Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CVPR Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song
2022	B	`conf`	Chemical Property Relation Guided Few-Shot Molecular Property Prediction. IJCNN Shaolun Yao, Zunlei Feng, Jie Song, Lingxiang Jia, Zipeng Zhong, Mingli Song
2022	J	`jnl`	Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. CoRR Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song
2022	A*	`conf`	DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. AAAI Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He
2022	B	`conf`	Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. IJCNN Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song
2022	J	`jnl`	Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. CoRR Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song
2022	J	`jnl`	Explainable Fragment-Based Molecular Property Attribution. Adv. Intell. Syst. Lingxiang Jia, Zunlei Feng, Haotian Zhang, Jie Song, Zipeng Zhong, Shaolun Yao, Mingli Song
2022	J	`jnl`	Federated Selective Aggregation for Knowledge Amalgamation. CoRR Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song
2022	J	`jnl`	Hierarchical gate network for fine-grained visual recognition. Neurocomputing Ying Chen, Jie Song, Mingli Song
2022	J	`jnl`	Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. CoRR Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song
2022	J	`jnl`	Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. CoRR Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
2022	J	`jnl`	Knowledge Amalgamation for Object Detection with Transformers. CoRR Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song
2022	A*	`conf`	Label Matching Semi-Supervised Object Detection. CVPR Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang
2022	J	`jnl`	Label Matching Semi-Supervised Object Detection. CoRR Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang
2022	J	`jnl`	Learn decision trees with deep visual primitives. J. Vis. Commun. Image Represent. Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song
2022	A*	`conf`	Learning Domain Adaptive Object Detection with Probabilistic Teacher. ICML Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu
2022	J	`jnl`	Learning Domain Adaptive Object Detection with Probabilistic Teacher. CoRR Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu
2022	—	`conf`	Learning with Recoverable Forgetting. ECCV (11) Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
2022	J	`jnl`	Learning with Recoverable Forgetting. CoRR Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
2022	A*	`conf`	Meta-attention for ViT-backed Continual Learning. CVPR Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
2022	J	`jnl`	Meta-attention for ViT-backed Continual Learning. CoRR Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
2022	A*	`conf`	Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. AAAI Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song
2022	J	`jnl`	ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. CoRR Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song
2022	J	`jnl`	Root-aligned SMILES for Molecular Retrosynthesis Prediction. CoRR Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Min Wu, Tingjun Hou, Mingli Song
2022	A*	`conf`	Safe Distillation Box. AAAI Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
2022	A*	`conf`	Slimmable Domain Adaptation. CVPR Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang
2022	J	`jnl`	Slimmable Domain Adaptation. CoRR Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang
2022	J	`jnl`	Spot-Adaptive Knowledge Distillation. IEEE Trans. Image Process. Jie Song, Ying Chen, Jingwen Ye, Mingli Song
2022	J	`jnl`	Spot-adaptive Knowledge Distillation. CoRR Jie Song, Ying Chen, Jingwen Ye, Mingli Song
2022	A*	`conf`	Up to 100x Faster Data-Free Knowledge Distillation. AAAI Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
2021	J	`jnl`	A Survey of Deep Learning for Low-Shot Object Detection. CoRR Qihan Huang, Haofei Zhang, Jie Song, Mingli Song
2021	J	`jnl`	Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. CoRR Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song
2021	J	`jnl`	Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021	A*	`conf`	Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021	J	`jnl`	DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. CoRR Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He
2021	J	`jnl`	Distribution Knowledge Embedding for Graph Pooling. CoRR Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Mingli Song
2021	A*	`conf`	KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
2021	J	`jnl`	KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
2021	J	`jnl`	Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. CoRR Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song
2021	A*	`conf`	Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021	J	`jnl`	Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021	A*	`conf`	Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
2021	J	`jnl`	Safe Distillation Box. CoRR Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
2021	A*	`conf`	Self-born Wiring for Neural Trees. ICCV Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song
2021	—	`conf`	Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. PRCV (4) Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song
2021	A*	`conf`	Training Generative Adversarial Networks in One Stage. CVPR Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
2021	J	`jnl`	Training Generative Adversarial Networks in One Stage. CoRR Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
2021	—	`conf`	Tree-Like Branching Network for Multi-class Classification. ICO Mengqi Xue, Jie Song, Li Sun, Mingli Song
2021	A*	`conf`	Tree-Like Decision Distillation. CVPR Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song
2021	J	`jnl`	Up to 100x Faster Data-free Knowledge Distillation. CoRR Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
2020	A*	`conf`	DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020	J	`jnl`	DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020	—	`conf`	Faster Self-adaptive Deep Stereo. ACCV (1) Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song
2020	J	`jnl`	Impression Space from Deep Template Network. CoRR Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song
2020	J	`jnl`	Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
2019	A*	`conf`	Amalgamating Knowledge towards Comprehensive Classification. AAAI Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019	A*	`conf`	Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019	J	`jnl`	Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019	J	`jnl`	Data-Free Adversarial Distillation. CoRR Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
2019	A*	`conf`	Deep Model Transferability from Attribution Maps. NeurIPS Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
2019	J	`jnl`	Deep Model Transferability from Attribution Maps. CoRR Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
2019	J	`jnl`	Investigation of wind pressures on tall building under interference effects using machine learning techniques. CoRR Gang Hu, Lingbo Liu, Dacheng Tao, Jie Song, K. C. S. Kwok
2018	J	`jnl`	Amalgamating Knowledge towards Comprehensive Classification. CoRR Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2018	—	`conf`	Intra-class Structure Aware Networks for Screen Defect Detection. ICONIP (4) Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun, Mingli Song
2018	—	`conf`	Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
2018	J	`jnl`	Selective Zero-Shot Classification with Augmented Attributes. CoRR Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
2018	A*	`conf`	Transductive Unbiased Embedding for Zero-Shot Learning. CVPR Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
2018	J	`jnl`	Transductive Unbiased Embedding for Zero-Shot Learning. CoRR Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
2018	—	`conf`	Value-Aware Resampling and Loss for Imbalanced Classification. CSAE Li Sun, Jie Song, Cheng Hua, Chengchao Shen, Mingli Song
2017	—	`conf`	Towards Deeper Insights into Deep Learning from Imbalanced Data. CCCV (1) Jie Song, Yun Shen, Yongcheng Jing, Mingli Song