Mingli Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
187
Venues
38
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*CVPR26 papers
- A*AAAI24 papers
- A*IJCAI17 papers
- BICONIP12 papers
- A*ECCV12 papers
- A*ICCV11 papers
- BICIP7 papers
- A*ICML7 papers
- AECAI6 papers
- A*ICLR6 papers
- BICPR6 papers
- A*KDD5 papers
- BIJCNN5 papers
- BACCV4 papers
- BSMC4 papers
- A*WWW3 papers
- MulticonferenceICASSP3 papers
- ABMVC3 papers
- A*ACL2 papers
- A*ICDE2 papers
- A*COLT2 papers
- AMICCAI2 papers
- CIFSA2 papers
- CICCSA2 papers
- ACIKM1 paper
- BPAKDD1 paper
- ASC1 paper
- A*SIGMOD1 paper
- BICMI1 paper
- BIWCMC1 paper
- AMSWIM1 paper
- AICDAR1 paper
- A*ICDM1 paper
- NationalICIG1 paper
- CPSIVT1 paper
- CCGI1 paper
- MulticonferenceICCS1 paper
- BACII1 paper
Papers
187 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | D3-RSMDE: 40 Faster and High-Fidelity Remote Sensing Monocular Depth Estimation. | Ruizhi Wang, Weihan Li, Zunlei Feng, Haofei Zhang, Mingli Song, Jiayu Wang, Jie Song, Li Sun |
| 2026 | AAAI | Neural Graph Navigation for Intelligent Subgraph Matching. | Yuchen Ying, Yiyang Dai, Wenda Li, Wenjie Huang, Rui Wang, Tongya Zheng, Yu Wang, Hanyang Yuan, Mingli Song |
| 2026 | ACL | Evolutionary Negative Module Pruning for Better LoRA Merging. | Anda Cao, Zhuo Gou, Yi Wang, Kaixuan Chen, Yu Wang, Can Wang, Mingli Song, Jie Song |
| 2026 | ACL | Token-level Inference-Time Alignment for Vision-Language Models. | Kejia Chen, Junjun Zheng, Jiawen Zhang, Manxi Lin, Xiao Pan, Jiacong Hu, Jian Lou, Zunlei Feng, Mingli Song |
| 2026 | ICDE | Fast Content-Aware Influence Maximization Query Answering by Labeling Index. | Xingliang Lv, Qihao Shi, Can Wang, Mingli Song, Wenliang Du, Wujian Yang, Guanlin Chen |
| 2026 | KDD | GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies. | Jingqi Yang, Zhilong Song, Jiawei Chen, Mingli Song, Sheng Zhou, Linjun Sun, Xiaogang Ouyang, Chun Chen, Can Wang |
| 2026 | WWW | Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction. | Yu Wang, Junshu Dai, Yuchen Ying, Hanyang Yuan, Zunlei Feng, Tongya Zheng, Mingli Song |
| 2025 | AAAI | Holistic Semantic Representation for Navigational Trajectory Generation. | Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song |
| 2025 | AAAI | Global Attribute-Association Pattern Aggregation for Graph Fraud Detection. | Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Feng |
| 2025 | AAAI | Association Pattern-enhanced Molecular Representation Learning. | Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng |
| 2025 | AAAI | Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. | Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song |
| 2025 | AAAI | Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location. | Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen, Tongya Zheng, Mingli Song |
| 2025 | AAAI | D | Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song |
| 2025 | AAAI | Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. | Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu |
| 2025 | CVPR | PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. | Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song |
| 2025 | CVPR | Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? | Yuechen Xie, Jie Song, Huiqiong Wang, Mingli Song |
| 2025 | ECAI | TED-DTMoA: Tri-Comparison Expertise Decision for Drug-Target Mechanism of Action. | Lingxiang Jia, Zipeng Zhong, Shaolun Yao, Jie Song, Mingli Song, Zunlei Feng |
| 2025 | ECAI | Bi-Level Mean Field: Dynamic Grouping for Large-Scale MARL. | Yuxuan Zheng, Yihe Zhou, Feiyang Xu, Mingli Song, Shunyu Liu |
| 2025 | ICASSP | Spatial-Temporal Reconstruction Error for AIGC-based Forgery Image Detection. | Chengji Shen, Zhenjiang Liu, Kaixuan Chen, Jie Lei, Mingli Song, Zunlei Feng |
| 2025 | ICASSP | From Characters to Subwords: Modeling Unit Conversion for Low-resource Speech Recognition. | Yizhi Wang, Haofei Zhang, Huiqiong Wang, Li Sun, Mingli Song |
| 2025 | ICCV | Boosting MLLM Reasoning with Text-Debiased Hint-GRPO. | Qihan Huang, Weilong Dai, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song |
| 2025 | ICCV | Spatial-Temporal Forgery Trace Based Forgery Image Identification. | Yilin Wang, Zunlei Feng, Jiachi Wang, Hengrui Lou, Binjia Zhou, Jie Lei, Mingli Song, Yijun Bei |
| 2025 | ICCV | Dataset Ownership Verification for Pre-Trained Masked Models. | Yuechen Xie, Jie Song, Yicheng Shan, Xiaoyan Zhang, Yuanyu Wan, Shengxuming Zhang, Jiarui Duan, Mingli Song |
| 2025 | ICIP | Large Vision-Language Models are Generalist Solvers For Pathology Tasks. | Shengxuming Zhang, Hengrui Lou, Jing Zhang, Xiuming Zhang, Mingli Song, Zunlei Feng |
| 2025 | ICLR | Dataset Ownership Verification in Contrastive Pre-trained Models. | Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song |
| 2025 | ICLR | From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks. | Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu |
| 2025 | ICML | Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models. | Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song |
| 2025 | ICML | L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation. | Weihan Li, Linyun Zhou, Yang Jian, Shengxuming Zhang, Xiangtong Du, Xiuming Zhang, Jing Zhang, Chaoqing Xu, Mingli Song, Zunlei Feng |
| 2025 | ICML | STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification. | Hengrui Lou, Zunlei Feng, Jinsong Geng, Erteng Liu, Jie Lei, Lechao Cheng, Jie Song, Mingli Song, Yijun Bei |
| 2025 | ICML | Revisiting Differentially Private Algorithms for Decentralized Online Learning. | Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, Yuanyu Wan |
| 2025 | ICONIP | Binning Encoder-Based Grouped Aggregation for Network Traffic Anomaly Detection. | Lingyao Lu, Tongya Zheng, Haoye Wang, Zunlei Feng, Mingli Song |
| 2025 | IJCAI | Odyssey : Empowering Minecraft Agents with Open-World Skills. | Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song |
| 2025 | IJCAI | Efficient Dynamic Graphs Learning with Refined Batch Parallel Training. | ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song |
| 2025 | IJCAI | VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting. | Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song, Mingli Song |
| 2025 | IJCAI | CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. | Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song |
| 2025 | IJCAI | DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation. | Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng |
| 2025 | KDD | Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. | Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Yong Wang, Jie Song, Mingli Song |
| 2025 | WWW | Disentangled Condensation for Large-scale Graphs. | Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng |
| 2024 | AAAI | Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. | Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song |
| 2024 | AAAI | On the Concept Trustworthiness in Concept Bottleneck Models. | Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song |
| 2024 | AAAI | Sampling-Resilient Multi-Object Tracking. | Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen |
| 2024 | AAAI | Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. | Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song |
| 2024 | ACCV | RS-SAM: Integrating Multi-scale Information for Enhanced Remote Sensing Image Segmentation. | Enkai Zhang, Jingjing Liu, Anda Cao, Zhen Sun, Haofei Zhang, Huiqiong Wang, Li Sun, Mingli Song |
| 2024 | CIKM | Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. | Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song |
| 2024 | COLT | Nearly Optimal Regret for Decentralized Online Convex Optimization. | Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang |
| 2024 | CVPR | Training-Free Pretrained Model Merging. | Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song |
| 2024 | ECAI | Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. | Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song |
| 2024 | ECAI | SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. | Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song |
| 2024 | ECCV | On the Evaluation Consistency of Attribution-Based Explanations. | Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song |
| 2024 | ECCV | E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation. | Shengxuming Zhang, Lei Jin, Yifan Wang, Xinyu Wang, Xu Wen, Zunlei Feng, Mingli Song |
| 2024 | ICDE | Fast Query Answering by Labeling Index on Uncertain Graphs. | Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang |
| 2024 | ICLR | Dynamic Neural Response Tuning. | Tian Qiu, Wenxiang Xu, Lin Chen, Linyun Zhou, Zunlei Feng, Mingli Song |
| 2024 | ICLR | Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. | Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen |
| 2024 | ICML | Non-stationary Online Convex Optimization with Arbitrary Delays. | Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang |
| 2024 | ICONIP | Unified Mask Graph Modeling for Incomplete Tabular Learning. | Na Yu, Tongya Zheng, Shunyu Liu, Kai-Xuan Chen, Mingli Song |
| 2024 | IJCAI | Improving Adversarial Robustness via Feature Pattern Consistency Constraint. | Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song |
| 2024 | IJCAI | ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. | Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin |
| 2024 | IJCAI | Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing. | Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng |
| 2024 | IJCNN | GAN Doctor: Diagnosing and Treating Inherent Semantic Errors. | Chengji Shen, Zunlei Feng, Zhongle Xie, Jie Lei, Huiqiong Wang, Mingli Song |
| 2024 | IJCNN | Multi-Channel Graph Fusion Representation for Tabular Data Imputation. | Na Yu, Ke Xu, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Mingli Song |
| 2024 | KDD | Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. | Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song |
| 2024 | KDD | Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. | Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song |
| 2024 | MICCAI | Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. | 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 | PAKDD | Projection-Free Bandit Convex Optimization over Strongly Convex Sets. | Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song |
| 2024 | WWW | COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. | Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song |
| 2024 | SC | Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. | Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Yanlong Yin, Rui Wang, Lidan Shou, Mingli Song, Xian-He Sun, Gang Chen |
| 2023 | AAAI | Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. | Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song |
| 2023 | AAAI | Neural TSP Solver with Progressive Distillation. | Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen |
| 2023 | COLT | Improved Dynamic Regret for Online Frank-Wolfe. | Yuanyu Wan, Lijun Zhang, Mingli Song |
| 2023 | CVPR | DepGraph: Towards Any Structural Pruning. | Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang |
| 2023 | CVPR | How to Prevent the Continuous Damage of Noises to Model Training? | Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun |
| 2023 | CVPR | A Loopback Network for Explainable Microvascular Invasion Classification. | Shengxuming Zhang, Tianqi Shi, Yang Jiang, Xiuming Zhang, Jie Lei, Zunlei Feng, Mingli Song |
| 2023 | CVPR | Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. | Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song |
| 2023 | ECAI | LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. | Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li |
| 2023 | ECAI | Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. | Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song |
| 2023 | ICCV | Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. | Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song |
| 2023 | ICCV | ModelGiF: Gradient Fields for Model Functional Distance. | Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song |
| 2023 | ICIP | Model Doctor for Diagnosing and Treating Segmentation Error. | Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song |
| 2023 | ICIP | Team DETR: Guide Queries as a Professional Team in Detection Transformers. | Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song |
| 2023 | ICLR | Message-passing Selection: Towards Interpretable GNNs for Graph Classification. | Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su |
| 2023 | ICLR | Schema Inference for Interpretable Image Classification. | Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song |
| 2023 | ICML | Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. | Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao |
| 2023 | ICONIP | Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks. | Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen |
| 2023 | ICONIP | Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning. | Wenxiang Xu, Yongcheng Jing, Linyun Zhou, Wenqi Huang, Lechao Cheng, Zunlei Feng, Mingli Song |
| 2023 | IJCAI | Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting. | Gaoang Wang, Mingli Song |
| 2023 | IJCNN | A General Heterogeneous Hypergraph Neural Network for Node Classification. | Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li |
| 2023 | KDD | Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. | Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song |
| 2022 | AAAI | Up to 100x Faster Data-Free Knowledge Distillation. | Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song |
| 2022 | AAAI | Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. | Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song |
| 2022 | AAAI | Safe Distillation Box. | Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song |
| 2022 | BMVC | Re-Attention Transformer for Weakly Supervised Object Localization. | Hui Su, Yue Ye, Zhiwei Chen, Mingli Song, Lechao Cheng |
| 2022 | CVPR | Label Matching Semi-Supervised Object Detection. | Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang |
| 2022 | CVPR | Slimmable Domain Adaptation. | Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang |
| 2022 | CVPR | Meta-attention for ViT-backed Continual Learning. | Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song |
| 2022 | CVPR | Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. | Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song |
| 2022 | ECCV | Learning Graph Neural Networks for Image Style Transfer. | Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao |
| 2022 | ECCV | Attention Diversification for Domain Generalization. | Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu |
| 2022 | ECCV | Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. | Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt |
| 2022 | ECCV | Learning with Recoverable Forgetting. | Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang |
| 2022 | ICML | Topology-aware Generalization of Decentralized SGD. | Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao |
| 2022 | IJCAI | Comparison Knowledge Translation for Generalizable Image Classification. | Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang |
| 2022 | IJCNN | Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. | Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song |
| 2022 | IJCNN | Chemical Property Relation Guided Few-Shot Molecular Property Prediction. | Shaolun Yao, Zunlei Feng, Jie Song, Lingxiang Jia, Zipeng Zhong, Mingli Song |
| 2022 | SIGMOD | PreQR: Pre-training Representation for SQL Understanding. | Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen |
| 2021 | AAAI | Visual Boundary Knowledge Translation for Foreground Segmentation. | Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song |
| 2021 | AAAI | Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. | Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song |
| 2021 | AAAI | Progressive Network Grafting for Few-Shot Knowledge Distillation. | Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song |
| 2021 | BMVC | Tendentious Noise-rectifying Framework for Pathological HCC Grading. | Xiaotian Yu, Zunlei Feng, Yuexuan Wang, Thomas Kwok To Li, Xiuming Zhang, Mingli Song |
| 2021 | CVPR | Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. | Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | CVPR | Amalgamating Knowledge From Heterogeneous Graph Neural Networks. | Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | CVPR | Training Generative Adversarial Networks in One Stage. | Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song |
| 2021 | CVPR | Tree-Like Decision Distillation. | Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song |
| 2021 | ICCV | Self-born Wiring for Neural Trees. | Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song |
| 2021 | ICCV | Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. | Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song |
| 2021 | ICCV | Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. | Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | ICCV | Online Knowledge Distillation for Efficient Pose Estimation. | Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan |
| 2021 | ICCV | Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. | Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang |
| 2021 | ICMI | Speech Guided Disentangled Visual Representation Learning for Lip Reading. | Ya Zhao, Cheng Ma, Zunlei Feng, Mingli Song |
| 2021 | IJCAI | Boundary Knowledge Translation based Reference Semantic Segmentation. | Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song |
| 2021 | IJCAI | Contrastive Model Invertion for Data-Free Knolwedge Distillation. | Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song |
| 2021 | IJCAI | KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. | Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song |
| 2021 | MICCAI | A Location Constrained Dual-Branch Network for Reliable Diagnosis of Jaw Tumors and Cysts. | Jiacong Hu, Zunlei Feng, Yining Mao, Jie Lei, Dan Yu, Mingli Song |
| 2020 | AAAI | Dynamic Instance Normalization for Arbitrary Style Transfer. | Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen |
| 2020 | AAAI | Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. | Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song |
| 2020 | ACCV | Faster Self-adaptive Deep Stereo. | Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song |
| 2020 | ACCV | DEAL: Difficulty-Aware Active Learning for Semantic Segmentation. | Shuai Xie, Zunlei Feng, Ying Chen, Songtao Sun, Chao Ma, Mingli Song |
| 2020 | CVPR | DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. | Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song |
| 2020 | CVPR | Distilling Knowledge From Graph Convolutional Networks. | Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang |
| 2020 | CVPR | Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. | Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song |
| 2020 | ECCV | Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning. | Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song |
| 2020 | ECCV | Learning Propagation Rules for Attribution Map Generation. | Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang |
| 2020 | ICPR | Disentangled Representation based Face Anti-Spoofing. | Zhao Liu, Zunlei Feng, Zeyu Zou, Rong Zhang, Mingli Song, Jianping Shen |
| 2020 | SMC | Adaptive Context Learning Network for Crowd Counting. | Zhao Liu, Guanqi Zeng, Zunlei Feng, Rong Zhang, Mingli Song, Jianping Shen |
| 2019 | AAAI | Amalgamating Knowledge towards Comprehensive Classification. | Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song |
| 2019 | CVPR | NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. | Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He |
| 2019 | CVPR | Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. | Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song |
| 2019 | ICCV | Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. | Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song |
| 2019 | IJCAI | Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. | Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song |
| 2019 | IJCAI | SPAGAN: Shortest Path Graph Attention Network. | Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao |
| 2019 | IJCAI | Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. | Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song |
| 2019 | IJCAI | An Online Intelligent Visual Interaction System. | Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao |
| 2019 | IFSA | A New Method to Design a Granular Hierarchy Model with Information Granularity. | Mingli Song, Yukai Jing |
| 2019 | IWCMC | Can the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful? | Zheng Shen, Zhaoquan Gu, Yuexuan Wang, Zhihong Tian, Mingli Song, Chunsheng Zhu |
| 2018 | CVPR | Transductive Unbiased Embedding for Zero-Shot Learning. | Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song |
| 2018 | ECCV | Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. | Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song |
| 2018 | ECCV | Selective Zero-Shot Classification with Augmented Attributes. | Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song |
| 2018 | ICIP | DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification. | Ya Zhao, Sihui Luo, Yezhou Yang, Mingli Song |
| 2018 | ICONIP | DeepSIC: Deep Semantic Image Compression. | Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song |
| 2018 | ICONIP | Intra-class Structure Aware Networks for Screen Defect Detection. | Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun, Mingli Song |
| 2018 | MSWIM | Where to Rendezvous?: Preferring Quiet Channels in Cognitive Radio Networks. | Tong Shen, Zhaoquan Gu, Yuexuan Wang, Sivan Toledo, Senran Zhang, Mingli Song |
| 2016 | ICIP | Which face is more attractive? | Jie Lei, Zunlei Feng, Mingli Song, Dacheng Tao |
| 2015 | ICDAR | Chart classification by combining deep convolutional networks and deep belief networks. | Xiao Liu, Binbin Tang, Zhenyang Wang, Xianghua Xu, Shiliang Pu, Dapeng Tao, Mingli Song |
| 2014 | CVPR | Semi-supervised Coupled Dictionary Learning for Person Re-identification. | Xiao Liu, Mingli Song, Dacheng Tao, Xingchen Zhou, Chun Chen, Jiajun Bu |
| 2014 | CVPR | Weakly Supervised Multiclass Video Segmentation. | Xiao Liu, Dacheng Tao, Mingli Song, Ying Ruan, Chun Chen, Jiajun Bu |
| 2014 | ICPR | Humanoid Robot Imitation with Pose Similarity Metric Learning. | Jie Lei, Mingli Song, Ze-Nian Li, Chun Chen, Xianghua Xu, Shiliang Pu |
| 2013 | CVPR | Semi-supervised Node Splitting for Random Forest Construction. | Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang, Chun Chen, Jiajun Bu |
| 2013 | CVPR | Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation. | Luming Zhang, Mingli Song, Zicheng Liu, Xiao Liu, Jiajun Bu, Chun Chen |
| 2013 | IFSA | A development of granular logic neural networks. | Mingli Song, Yongbin Wang, Shujuan Wang |
| 2013 | SMC | Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction. | Ming Jiang, Mingli Song, Qi Zhao |
| 2012 | ICONIP | Learning Visual Saliency Based on Object's Relative Relationship. | Senlin Wang, Qi Zhao, Mingli Song, Jiajun Bu, Chun Chen, Dacheng Tao |
| 2012 | ICPR | Realtime object matching with robust dominant orientation templates. | Chaoqun Hong, Jianke Zhu, Mingli Song, Yinting Wang |
| 2012 | ICPR | Joint shot boundary detection and key frame extraction. | Xiao Liu, Mingli Song, Luming Zhang, Senlin Wang, Jiajun Bu, Chun Chen, Dacheng Tao |
| 2012 | ICPR | Detecting discontinuities for surface reconstruction. | Yinting Wang, Jiajun Bu, Na Li, Mingli Song, Ping Tan |
| 2012 | ICPR | Spatial graphlet matching kernel for recognizing aerial image categories. | Luming Zhang, Mingli Song, Li Sun, Xiao Liu, Yinting Wang, Dacheng Tao, Jiajun Bu, Chun Chen |
| 2011 | ICDM | Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets. | Luming Zhang, Mingli Song, Xiaoyu Deng, Jiajun Bu, Chun Chen |
| 2011 | ICONIP | Opponent and Feedback: Visual Attention Captured. | Senlin Wang, Mingli Song, Dacheng Tao, Luming Zhang, Jiajun Bu, Chun Chen |
| 2011 | ICONIP | Integrating Local Features into Discriminative Graphlets for Scene Classification. | Luming Zhang, Wei Bian, Mingli Song, Dacheng Tao, Xiao Liu |
| 2011 | ICONIP | Feature Relationships Hypergraph for Multimodal Recognition. | Luming Zhang, Mingli Song, Wei Bian, Dacheng Tao, Xiao Liu, Jiajun Bu, Chun Chen |
| 2011 | ICONIP | Describing Human Identity Using Attributes. | Zhuoli Zhou, Jiajun Bu, Dacheng Tao, Luming Zhang, Mingli Song, Chun Chen |
| 2010 | ACCV | kPose: A New Representation For Action Recognition. | Zhuoli Zhou, Mingli Song, Luming Zhang, Dacheng Tao, Jiajun Bu, Chun Chen |
| 2010 | BMVC | Large-scale Dictionary Learning For Local Coordinate Coding. | Bo Xie, Mingli Song, Dacheng Tao |
| 2010 | ECCV | What Is the Chance of Happening: A New Way to Predict Where People Look. | Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen |
| 2010 | ICONIP | Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval. | Bo Xie, Yang Mu, Mingli Song, Dacheng Tao |
| 2009 | ICIG | Progressive Image Color Neutralization Based on Adaptive Histogram Clustering. | Jian Zhang, Rui Sun, Chuan Yang, Mingli Song |
| 2009 | PSIVT | Implicit Surface Reconstruction with an Analogy of Polar Field Model. | Yuxu Lin, Chun Chen, Mingli Song, Jiajun Bu, Zicheng Liu |
| 2009 | SMC | Viewpoint Independent Vehicle Speed Estimation From Uncalibrated Traffic Surveillance Cameras. | Haili Mao, Chengxi Ye, Mingli Song, Jiajun Bu, Na Li |
| 2006 | CGI | Real-Time Facial Expression Mapping for High Resolution 3D Meshes. | Mingli Song, Zicheng Liu, Baining Guo |
| 2006 | ECCV | EigenExpress Approach in Recognition of Facial Expression Using GPU. | Qi Wu, Mingli Song, Jiajun Bu, Chun Chen |
| 2006 | ICCS | An Enhanced Speech Emotion Recognition System Based on Discourse Information. | Chun Chen, Mingyu You, Mingli Song, Jiajun Bu, Jia Liu |
| 2006 | ICIP | Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder. | Jiajun Bu, Linjian Mo, Chun Chen, Zhi Yang, Mingli Song |
| 2006 | ICIP | Subtle Facial Expression Modeling with Vector Field Decomposition. | Mingli Song, Huiqiong Wang, Jiajun Bu, Chun Chen, Zicheng Liu |
| 2005 | ACII | Sketch Based Facial Expression Recognition Using Graphics Hardware. | Jiajun Bu, Mingli Song, Qi Wu, Chun Chen, Cheng Jin |
| 2004 | CVPR | Audio-Visual Based Emotion Recognition - A New Approach. | Mingli Song, Jiajun Bu, Chun Chen, Nan Li |
| 2004 | ICASSP | Audio-visual based emotion recognition using tripled hidden Markov model. | Mingli Song, Chun Chen, Mingyu You |
| 2004 | ICCSA | Speech Emotion Recognition and Intensity Estimation. | Mingli Song, Chun Chen, Jiajun Bu, Mingyu You |
| 2004 | ICCSA | Speech Driven Facial Animation Using Chinese Mandarin Pronunciation Rules. | Mingyu You, Jiajun Bu, Chun Chen, Mingli Song |
| 2003 | SMC | 3D realistic talking face co-driven by text and speech. | Mingli Song, Chun Chen, Jiajun Bu, Ronghua Liang |