Towards Deeper Insights into Deep Learning from Imbalanced Data. - Jie Song 011; Yun Shen; Yongcheng Jing; Mingli Song (CCCV (1), 2017)

Value-Aware Resampling and Loss for Imbalanced Classification. - Li Sun; Jie Song 011; Cheng Hua; Chengchao Shen; Mingli Song (CSAE, 2018)

Transductive Unbiased Embedding for Zero-Shot Learning. - Jie Song 011; Chengchao Shen; Yezhou Yang; Yang Liu 212; Mingli Song (CVPR, 2018)

Selective Zero-Shot Classification with Augmented Attributes. - Jie Song 011; Chengchao Shen; Jie Lei 002; Anxiang Zeng; Kairi Ou; Dacheng Tao; Mingli Song (ECCV (9), 2018)

Intra-class Structure Aware Networks for Screen Defect Detection. - Chengchao Shen; Jie Song 011; Shuyi Song; Sihui Luo 001; Li Sun; Mingli Song (ICONIP (4), 2018)

Amalgamating Knowledge towards Comprehensive Classification. - Chengchao Shen; Xinchao Wang; Jie Song 011; Li Sun; Mingli Song (AAAI, 2019)

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. - Chengchao Shen; Mengqi Xue; Xinchao Wang; Jie Song 011; Li Sun; Mingli Song (ICCV, 2019)

Deep Model Transferability from Attribution Maps. - Jie Song 011; Yixin Chen; Xinchao Wang; Chengchao Shen; Mingli Song (NeurIPS, 2019)

Investigation of wind pressures on tall building under interference effects using machine learning techniques. - Gang Hu; Lingbo Liu; Dacheng Tao; Jie Song 011; K. C. S. Kwok (CoRR, 2019)

Data-Free Adversarial Distillation. - Gongfan Fang; Jie Song 011; Chengchao Shen; Xinchao Wang; Da Chen; Mingli Song (CoRR, 2019)

Faster Self-adaptive Deep Stereo. - Haiyang Wang; Xinchao Wang; Jie Song 011; Jie Lei 002; Mingli Song (ACCV (1), 2020)

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. - Jie Song 011; Yixin Chen; Jingwen Ye; Xinchao Wang; Chengchao Shen; Feng Mao; Mingli Song (CVPR, 2020)

Impression Space from Deep Template Network. - Gongfan Fang; Xinchao Wang; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2020)

Progressive Network Grafting for Few-Shot Knowledge Distillation. - Chengchao Shen; Xinchao Wang; Youtan Yin; Jie Song 011; Sihui Luo 001; Mingli Song (AAAI, 2021)

Training Generative Adversarial Networks in One Stage. - Chengchao Shen; Youtan Yin; Xinchao Wang; Xubin Li; Jie Song 011; Mingli Song (CVPR, 2021)

Tree-Like Decision Distillation. - Jie Song 011; Haofei Zhang; Xinchao Wang; Mengqi Xue; Ying Chen; Li Sun; Dacheng Tao; Mingli Song (CVPR, 2021)

Self-born Wiring for Neural Trees. - Ying Chen; Feng Mao; Jie Song 011; Xinchao Wang; Huiqiong Wang; Mingli Song (ICCV, 2021)

Tree-Like Branching Network for Multi-class Classification. - Mengqi Xue; Jie Song 011; Li Sun; Mingli Song (ICO, 2021)

Contrastive Model Invertion for Data-Free Knolwedge Distillation. - Gongfan Fang; Jie Song 011; Xinchao Wang; Chengchao Shen; Xingen Wang; Mingli Song (IJCAI, 2021)

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. - Mengqi Xue; Jie Song 011; Xinchao Wang; Ying Chen; Xingen Wang; Mingli Song (IJCAI, 2021)

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. - Gongfan Fang; Yifan Bao; Jie Song 011; Xinchao Wang; Donglin Xie; Chengchao Shen; Mingli Song (NeurIPS, 2021)

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. - Jingwen Ye; Yixin Ji; Jie Song 011; Zunlei Feng; Mingli Song (PRCV (4), 2021)

Contrastive Model Inversion for Data-Free Knowledge Distillation. - Gongfan Fang; Jie Song 011; Xinchao Wang; Chengchao Shen; Xingen Wang; Mingli Song (CoRR, 2021)

Distribution Knowledge Embedding for Graph Pooling. - Kaixuan Chen 004; Jie Song 011; Shunyu Liu 001; Na Yu; Zunlei Feng; Mingli Song (CoRR, 2021)

A Survey of Deep Learning for Low-Shot Object Detection. - Qihan Huang; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2021)

DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. - Yang Liu 212; Tu Zheng; Jie Song 011; Deng Cai 001; Xiaofei He 001 (AAAI, 2022)

Up to 100x Faster Data-Free Knowledge Distillation. - Gongfan Fang; Kanya Mo; Xinchao Wang; Jie Song 011; Shitao Bei; Haofei Zhang; Mingli Song (AAAI, 2022)

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. - Zunlei Feng; Jiacong Hu; Sai Wu; Xiaotian Yu; Jie Song 011; Mingli Song (AAAI, 2022)

Safe Distillation Box. - Jingwen Ye; Yining Mao; Jie Song 011; Xinchao Wang; Cheng Jin 001; Mingli Song (AAAI, 2022)

A Novelty Adversarial Loss for Classifying Unbalanced Anomaly Images. - Wenqi Huang 002; Qunsheng Zeng; Peng Li; Ailing Jia; Jie Song 011; Mingli Song (CISP-BMEI, 2022)

An object detection method based on improved YOLOX. - Peng Li; Wenqi Huang 002; Yang Wu 001; Senjing Yao; Ailing Jia; Jie Song 011; Mingli Song (CISP-BMEI, 2022)

Label Matching Semi-Supervised Object Detection. - Binbin Chen; Weijie Chen 006; Shicai Yang; Yunyi Xuan; Jie Song 011; Di Xie; Shiliang Pu; Mingli Song; Yueting Zhuang (CVPR, 2022)

Slimmable Domain Adaptation. - Rang Meng; Weijie Chen 006; Shicai Yang; Jie Song 011; Luojun Lin; Di Xie; Shiliang Pu; Xinchao Wang; Mingli Song; Yueting Zhuang (CVPR, 2022)

Meta-attention for ViT-backed Continual Learning. - Mengqi Xue; Haofei Zhang; Jie Song 011; Mingli Song (CVPR, 2022)

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. - Haofei Zhang; Jiarui Duan; Mengqi Xue; Jie Song 011; Li Sun; Mingli Song (CVPR, 2022)

Attention Diversification for Domain Generalization. - Rang Meng; Xianfeng Li; Weijie Chen 006; Shicai Yang; Jie Song 011; Xinchao Wang; Lei Zhang 038; Mingli Song; Di Xie; Shiliang Pu (ECCV (34), 2022)

Learning with Recoverable Forgetting. - Jingwen Ye; Yifang Fu; Jie Song 011; Xingyi Yang; Songhua Liu; Xin Jin; Mingli Song; Xinchao Wang (ECCV (11), 2022)

Learning Domain Adaptive Object Detection with Probabilistic Teacher. - Meilin Chen; Weijie Chen 006; Shicai Yang; Jie Song 011; Xinchao Wang; Lei Zhang 038; Yunfeng Yan; Donglian Qi; Yueting Zhuang; Di Xie; Shiliang Pu (ICML, 2022)

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. - Kaixuan Chen 004; Shunyu Liu 001; Na Yu; Rong Yan; Quan Zhang; Jie Song 011; Zunlei Feng; Mingli Song (IJCNN, 2022)

Chemical Property Relation Guided Few-Shot Molecular Property Prediction. - Shaolun Yao; Zunlei Feng; Jie Song 011; Lingxiang Jia; Zipeng Zhong; Mingli Song (IJCNN, 2022)

Explainable Fragment-Based Molecular Property Attribution. - Lingxiang Jia; Zunlei Feng; Haotian Zhang; Jie Song 011; Zipeng Zhong; Shaolun Yao; Mingli Song (Adv. Intell. Syst., 2022)

Root-aligned SMILES for Molecular Retrosynthesis Prediction. - Zipeng Zhong; Jie Song 011; Zunlei Feng; Tiantao Liu; Lingxiang Jia; Shaolun Yao; Min Wu; Tingjun Hou; Mingli Song (CoRR, 2022)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Shunyu Liu 001; Xinchao Wang; Na Yu; Jie Song 011; Kaixuan Chen 004; Zunlei Feng; Mingli Song (CoRR, 2022)

Federated Selective Aggregation for Knowledge Amalgamation. - Donglin Xie; Ruonan Yu; Gongfan Fang; Jie Song 011; Zunlei Feng; Xinchao Wang; Li Sun; Mingli Song (CoRR, 2022)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Lechao Cheng; Jie Song 011; Minghui Wu; Mingli Song (CoRR, 2022)

A Survey of Neural Trees. - Haoling Li; Jie Song 011; Mengqi Xue; Haofei Zhang; Jingwen Ye; Lechao Cheng; Mingli Song (CoRR, 2022)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. - Yunpeng Qing; Shunyu Liu 001; Jie Song 011; Mingli Song (CoRR, 2022)

Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. - Qihan Huang; Mengqi Xue; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2022)

Hierarchical gate network for fine-grained visual recognition. - Ying Chen; Jie Song 011; Mingli Song (Neurocomputing, 2022)

Learn decision trees with deep visual primitives. - Mengqi Xue; Haofei Zhang; Qihan Huang; Jie Song 011; Mingli Song (J. Vis. Commun. Image Represent., 2022)

Spot-Adaptive Knowledge Distillation. - Jie Song 011; Ying Chen; Jingwen Ye; Mingli Song (IEEE Trans. Image Process., 2022)

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. - Shunyu Liu 001; Yihe Zhou; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Tongtian Zhu; Zunlei Feng; Mingli Song (AAAI, 2023)

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. - Tianli Zhang; Mengqi Xue; Jiangtao Zhang; Haofei Zhang; Yu Wang 176; Lechao Cheng; Jie Song 011; Mingli Song (CVPR, 2023)

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. - Qihan Huang; Mengqi Xue; Wenqi Huang 002; Haofei Zhang; Jie Song 011; Yongcheng Jing; Mingli Song (ICCV, 2023)

ModelGiF: Gradient Fields for Model Functional Distance. - Jie Song 011; Zhengqi Xu; Sai Wu; Gang Chen 001; Mingli Song (ICCV, 2023)

Schema Inference for Interpretable Image Classification. - Haofei Zhang; Mengqi Xue; Xiaokang Liu; Kaixuan Chen 004; Jie Song 011; Mingli Song (ICLR, 2023)

Lookaround Optimizer: k steps around, 1 step average. - Jiangtao Zhang; Shunyu Liu 001; Jie Song 011; Tongtian Zhu; Zhengqi Xu; Mingli Song (NeurIPS, 2023)

Recent advances in artificial intelligence for retrosynthesis. - Zipeng Zhong; Jie Song 011; Zunlei Feng; Tiantao Liu; Lingxiang Jia; Shaolun Yao; Tingjun Hou; Mingli Song (CoRR, 2023)

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Kaixuan Chen 004; Tongya Zheng; Yanhao Huang; Jie Song 011; Mingli Song (CoRR, 2023)

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. - Yaoquan Wei; Shunyu Liu 001; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Yong Wang; Mingli Song (CoRR, 2023)

Knowledge Amalgamation for Object Detection With Transformers. - Haofei Zhang; Feng Mao; Mengqi Xue; Gongfan Fang; Zunlei Feng; Jie Song 011; Mingli Song (IEEE Trans. Image Process., 2023)

Distribution Knowledge Embedding for Graph Pooling. - Kaixuan Chen 004; Jie Song 011; Shunyu Liu 001; Na Yu; Zunlei Feng; Gengshi Han; Mingli Song (IEEE Trans. Knowl. Data Eng., 2023)

HSDN: A High-Order Structural Semantic Disentangled Neural Network. - Bingde Hu; Xingen Wang; Zunlei Feng; Jie Song 011; Ji Zhao 016; Mingli Song; Xinyu Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. - Tongya Zheng; Xinchao Wang; Zunlei Feng; Jie Song 011; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Constituent Attention for Vision Transformers. - Haoling Li; Mengqi Xue; Jie Song 011; Haofei Zhang; Wenqi Huang 002; Lingyu Liang; Mingli Song (Comput. Vis. Image Underst., 2023)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Shunyu Liu 001; Kai-Xuan Chen 001; Na Yu; Jie Song 011; Zunlei Feng; Mingli Song (IEEE Trans. Syst. Man Cybern. Syst., 2023)

On the Concept Trustworthiness in Concept Bottleneck Models. - Qihan Huang; Jie Song 011; Jingwen Hu; Haofei Zhang; Yong Wang; Mingli Song (AAAI, 2024)

Training-Free Pretrained Model Merging. - Zhengqi Xu; Ke Yuan; Huiqiong Wang; Yong Wang; Mingli Song; Jie Song 011 (CVPR, 2024)

On the Evaluation Consistency of Attribution-Based Explanations. - Jiarui Duan; Haoling Li; Haofei Zhang; Hao Jiang 014; Mengqi Xue; Li Sun; Mingli Song; Jie Song 011 (ECCV (70), 2024)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Jingwen Hu; Jie Song 011; Mingli Song; Canghong Jin (IJCAI, 2024)

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. - Tianhong Gao; Jie Song 011; Xiaotian Yu; Shengxuming Zhang; Wenjie Liang; Hongbin Zhang; Ziqian Li; Wenzhuo Zhang; Xiuming Zhang; Zipeng Zhong; Mingli Song; Zunlei Feng (MICCAI (11), 2024)

LG-CAV: Train Any Concept Activation Vector with Language Guidance. - Qihan Huang; Jie Song 011; Mengqi Xue; Haofei Zhang; Bingde Hu; Huiqiong Wang; Hao Jiang 014; Xingen Wang; Mingli Song (NeurIPS, 2024)

Association Pattern-aware Fusion for Biological Entity Relationship Prediction. - Lingxiang Jia; Yuchen Ying; Zunlei Feng; Zipeng Zhong; Shaolun Yao; Jiacong Hu; Mingjiang Duan; Xingen Wang; Jie Song 011; Mingli Song (NeurIPS, 2024)

Pre-Trained Model Recommendation for Downstream Fine-tuning. - Jiameng Bai; Sai Wu; Jie Song 011; Junbo Zhao 002; Gang Chen 001 (CoRR, 2024)

A Large-scale Universal Evaluation Benchmark For Face Forgery Detection. - Yijun Bei; Hengrui Lou; Jinsong Geng; Erteng Liu; Lechao Cheng; Jie Song 011; Mingli Song; Zunlei Feng (CoRR, 2024)

PruningBench: A Comprehensive Benchmark of Structural Pruning. - Haoling Li; Changhao Li; Mengqi Xue; Gongfan Fang; Sheng Zhou 004; Zunlei Feng; Huiqiong Wang; Yong Wang; Lechao Cheng; Mingli Song; Jie Song 011 (CoRR, 2024)

FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning. - Qingsong Lv; Jiasheng Sun; Sheng Zhou 004; Xu Zhang; Liangcheng Li; Yun Gao; Sun Qiao; Jie Song 011; Jiajun Bu (CoRR, 2024)

A Survey of Deep Learning for Low-shot Object Detection. - Qihan Huang; Haofei Zhang; Mengqi Xue; Jie Song 011; Mingli Song (ACM Comput. Surv., 2024)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. - Shunyu Liu 001; Jie Song 011; Yihe Zhou; Na Yu; Kaixuan Chen 004; Zunlei Feng; Mingli Song (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Holistic Semantic Representation for Navigational Trajectory Generation. - Ji Cao 001; Tongya Zheng; Qinghong Guo; Yu Wang 176; Junshu Dai; Shunyu Liu 001; Jie Yang; Jie Song 011; Mingli Song (AAAI, 2025)

Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. - Qihan Huang; Siming Fu; Jinlong Liu; Hao Jiang 014; Yipeng Yu; Jie Song 011 (AAAI, 2025)

Association Pattern-enhanced Molecular Representation Learning. - Lingxiang Jia; Yuchen Ying; Tian Qiu; Shaolun Yao; Liang Xue; Jie Lei 002; Jie Song 011; Mingli Song; Zunlei Feng (AAAI, 2025)

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. - Yaoquan Wei; Shunyu Liu 001; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Mingli Song (AAAI, 2025)

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. - Yihe Zhou; Yuxuan Zheng; Yue Hu; Kaixuan Chen 004; Tongya Zheng; Jie Song 011; Mingli Song; Shunyu Liu 001 (AAAI, 2025)

PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. - Qihan Huang; Long Chan; Jinlong Liu; Wanggui He; Hao Jiang 014; Mingli Song; Jie Song 011 (CVPR, 2025)

pFedFace: Personalized Federated Learning for Face Recognition. - Ya Gao; Anyang Su; Chenxu Zhao; Jie Song 011 (ICASSP, 2025)

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Tongya Zheng; Kaixuan Chen 004; Jie Song 011; Mingli Song (AAMAS, 2025)

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. - Kaixuan Chen 004; Wei Luo; Shunyu Liu 001; Yaoquan Wei; Yihe Zhou; Yunpeng Qing; Quan Zhang; Yong Wang; Jie Song 011; Mingli Song (KDD (1), 2025)

Training-free Heterogeneous Model Merging. - Zhengqi Xu; Han Zheng; Jie Song 011; Li Sun; Mingli Song (CoRR, 2025)

D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models. - Qian Zeng; Jie Song 011; Han Zheng; Hao Jiang 014; Mingli Song (CoRR, 2025)

MINT: Multi-modal Chain of Thought in Unified Generative Models for Enhanced Image Generation. - Yi Wang; Mushui Liu; Wanggui He; Longxiang Zhang; Ziwei Huang; Guanghao Zhang; Fangxun Shu; Tao Zhong; Dong She; Zhelun Yu; Haoyuan Li 002; Weilong Dai; et al. (CoRR, 2025)

Reinforced Model Merging. - Jiaqi Han; Jingwen Ye; Shunyu Liu 001; Haofei Zhang; Jie Song 011; Zunlei Feng; Mingli Song (CoRR, 2025)

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO. - Qihan Huang; Long Chan; Jinlong Liu; Wanggui He; Hao Jiang 014; Mingli Song; Jingyuan Chen; Chang Yao; Jie Song 011 (CoRR, 2025)

DTIA: Disruptive Text-Image Alignment for Countering Text-to-Image Diffusion Model Personalization. - Ya Gao; Jing Yang; Minghui Wu; Chenxu Zhao; Anyang Su; Jie Song 011; Zitong Yu (Data Sci. Eng., 2025)

Quantizing Diffusion Models from a Sampling-Aware Perspective. - Qian Zeng; Jie Song 011; Yuanyu Wan; Huiqiong Wang; Mingli Song (CoRR, 2025)

Diffusion Model Quantization: A Review. - Qian Zeng; Chenggong Hu; Mingli Song; Jie Song 011 (CoRR, 2025)

Dataset Ownership Verification for Pre-trained Masked Models. - Yuechen Xie; Jie Song 011; Yicheng Shan; Xiaoyan Zhang; Yuanyu Wan; Shengxuming Zhang; Jiarui Duan; Mingli Song (CoRR, 2025)

A Survey of Neural Trees: Co-Evolving Neural Networks and Decision Trees. - Haoling Li; Jie Song 011; Mengqi Xue; Haofei Zhang; Mingli Song (IEEE Trans. Neural Networks Learn. Syst., 2025)