default search action
Mingli Song
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j113]Wenxiang Xu, Tian Qiu, Linyun Zhou, Zunlei Feng, Mingli Song, Huiqiong Wang:
Deep feature response discriminative calibration. Neurocomputing 615: 128848 (2025) - [j112]Ping Li, Tao Wang, Xinkui Zhao, Xianghua Xu, Mingli Song:
Pseudo-labeling with keyword refining for few-supervised video captioning. Pattern Recognit. 159: 111176 (2025) - 2024
- [j111]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) - [j110]Shunyu Liu, Yanzhen Zhou, Mingli Song, Guangquan Bu, Jianbo Guo, Chun Chen:
Progressive decision-making framework for power system topology control. Expert Syst. Appl. 235: 121070 (2024) - [j109]Wujian Yang, Qihao Shi, Jiangzhe Yan, Can Wang, Mingli Song, Minghui Wu:
Complementary influence maximization under comparative linear threshold model. Expert Syst. Appl. 238(Part D): 121826 (2024) - [j108]Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song, Chun Chen:
Graph Neural Networks-based hybrid framework for predicting particle crushing strength. Expert Syst. Appl. 255: 124691 (2024) - [j107]Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. Int. J. Comput. Vis. 132(4): 1075-1090 (2024) - [j106]Xiaotian Yu, Shengxuming Zhang, Lingxiang Jia, Yuexuan Wang, Mingli Song, Zunlei Feng:
Noise is the fatal poison: A Noise-aware Network for noisy dataset classification. Neurocomputing 563: 126829 (2024) - [j105]Qihao Shi, Wujian Yang, Can Wang, Mingli Song:
Robust misinformation prevention with uncertainty on suspicious nodes. Neurocomputing 577: 127344 (2024) - [j104]Linyun Zhou, Shengxuming Zhang, Tian Qiu, Wenxiang Xu, Zunlei Feng, Mingli Song:
PatchDetector: Pluggable and non-intrusive patch for small object detection. Neurocomputing 589: 127715 (2024) - [j103]Xu Yang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song:
Regularized online exponentially concave optimization. Neurocomputing 595: 127789 (2024) - [j102]Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng, Mingli Song:
Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning. Inf. Fusion 108: 102404 (2024) - [j101]Mingli Song, Ruobing Wang:
Complexity-aided time series modeling and forecasting under a decomposition-aggregation framework. Inf. Sci. 664: 120352 (2024) - [j100]Nanqi Hong, Dejun Jiang, Zhe Wang, Huiyong Sun, Hao Luo, Lingjie Bao, Mingli Song, Yu Kang, Tingjun Hou:
TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides. J. Chem. Inf. Model. 64(13): 5016-5027 (2024) - [j99]Chaoqing Xu, Zhentao Zheng, Yiting Fu, Baofeng Chang, Legao Chen, Minghui Wu, Mingli Song, Jinsong Jiang:
An integrated visual analytics system for studying clinical carotid artery plaques. J. Vis. 27(4): 553-565 (2024) - [j98]Xiusheng Lu, Sicheng Zhao, Lechao Cheng, Ying Zheng, Xueqiao Fan, Mingli Song:
Mixed Resolution Network with hierarchical motion modeling for efficient action recognition. Knowl. Based Syst. 294: 111686 (2024) - [j97]Jiawei Chen, Lin Chen, Jiang Yang, Tianqi Shi, Lechao Cheng, Zunlei Feng, Mingli Song:
Life regression based patch slimming for vision transformers. Neural Networks 176: 106340 (2024) - [j96]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) - [j95]Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kai-Xuan Chen, Yunzhi Hao, Mingli Song:
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation. IEEE Trans. Knowl. Data Eng. 36(11): 7074-7086 (2024) - [j94]Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen:
Transition Propagation Graph Neural Networks for Temporal Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4567-4579 (2024) - [j93]Chengji Shen, Zhenjiang Liu, Xin Gao, Zunlei Feng, Mingli Song:
Self-Adaptive Clothing Mapping Based Virtual Try-on. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 61:1-61:26 (2024) - [c198]Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song:
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI 2024: 2085-2093 - [c197]Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen:
Sampling-Resilient Multi-Object Tracking. AAAI 2024: 3297-3305 - [c196]Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song:
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. AAAI 2024: 10386-10394 - [c195]Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song:
On the Concept Trustworthiness in Concept Bottleneck Models. AAAI 2024: 21161-21168 - [c194]Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song:
Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. CIKM 2024: 3227-3236 - [c193]Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang:
Nearly Optimal Regret for Decentralized Online Convex Optimization. COLT 2024: 4862-4888 - [c192]Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song:
Training-Free Pretrained Model Merging. CVPR 2024: 5915-5925 - [c191]Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song:
Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. ECAI 2024: 3015-3022 - [c190]Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song:
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. ECAI 2024: 3931-3938 - [c189]Shengxuming Zhang, Lei Jin, Yifan Wang, Xinyu Wang, Xu Wen, Zunlei Feng, Mingli Song:
E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation. ECCV (35) 2024: 421-440 - [c188]Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang:
Fast Query Answering by Labeling Index on Uncertain Graphs. ICDE 2024: 4058-4071 - [c187]Tian Qiu, Wenxiang Xu, Lin Chen, Linyun Zhou, Zunlei Feng, Mingli Song:
Dynamic Neural Response Tuning. ICLR 2024 - [c186]Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen:
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. ICLR 2024 - [c185]Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang:
Non-stationary Online Convex Optimization with Arbitrary Delays. ICML 2024 - [c184]Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song:
Improving Adversarial Robustness via Feature Pattern Consistency Constraint. IJCAI 2024: 848-856 - [c183]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 - [c182]Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng:
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing. IJCAI 2024: 1607-1615 - [c181]Chengji Shen, Zunlei Feng, Zhongle Xie, Jie Lei, Huiqiong Wang, Mingli Song:
GAN Doctor: Diagnosing and Treating Inherent Semantic Errors. IJCNN 2024: 1-8 - [c180]Na Yu, Ke Xu, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Mingli Song:
Multi-Channel Graph Fusion Representation for Tabular Data Imputation. IJCNN 2024: 1-8 - [c179]Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song:
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. KDD 2024: 3277-3288 - [c178]Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song:
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. KDD 2024: 3598-3609 - [c177]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 - [c176]Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song:
Projection-Free Bandit Convex Optimization over Strongly Convex Sets. PAKDD (3) 2024: 118-129 - [c175]Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng:
Simple Graph Condensation. ECML/PKDD (2) 2024: 53-71 - [c174]Zhenyu Zhang, Wenhao Chai, Zhongyu Jiang, Tian Ye, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling. PRCV (11) 2024: 383-398 - [c173]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. WWW 2024: 3509-3520 - [e2]Cheng Jin, Liang He, Mingli Song, Rui Wang:
Proceedings of the 2nd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, McGE 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1194-7 [contents] - [i131]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) - [i130]Zhenbang Xiao, Shunyu Liu, Yu Wang, Tongya Zheng, Mingli Song:
Disentangled Condensation for Large-scale Graphs. CoRR abs/2401.12231 (2024) - [i129]Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song:
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. CoRR abs/2402.02405 (2024) - [i128]Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang:
Improved Regret for Bandit Convex Optimization with Delayed Feedback. CoRR abs/2402.09152 (2024) - [i127]Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang:
Nearly Optimal Regret for Decentralized Online Convex Optimization. CoRR abs/2402.09173 (2024) - [i126]Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song:
Training-Free Pretrained Model Merging. CoRR abs/2403.01753 (2024) - [i125]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. CoRR abs/2403.01801 (2024) - [i124]Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song:
Advantage-Aware Policy Optimization for Offline Reinforcement Learning. CoRR abs/2403.07262 (2024) - [i123]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) - [i122]Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng:
Simple Graph Condensation. CoRR abs/2403.14951 (2024) - [i121]ZhengZhao Feng, Rui Wang, TianXing Wang, Mingli Song, Sai Wu, Shuibing He:
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges. CoRR abs/2405.00476 (2024) - [i120]Shunyu Liu, Wei Luo, Yanzhen Zhou, Kai-Xuan Chen, Quan Zhang, Huating Xu, Qinglai Guo, Mingli Song:
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map. CoRR abs/2405.15831 (2024) - [i119]Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song:
Improving Adversarial Robustness via Feature Pattern Consistency Constraint. CoRR abs/2406.08829 (2024) - [i118]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) - [i117]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) - [i116]Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song:
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. CoRR abs/2406.17818 (2024) - [i115]Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song:
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. CoRR abs/2407.01979 (2024) - [i114]Wenda Li, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song:
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation. CoRR abs/2407.09904 (2024) - [i113]Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song:
Odyssey: Empowering Agents with Open-World Skills. CoRR abs/2407.15325 (2024) - [i112]Ziyue Chen, Tongya Zheng, Mingli Song:
Curriculum Negative Mining For Temporal Networks. CoRR abs/2407.17070 (2024) - [i111]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) - [i110]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) - 2023
- [j92]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) - [j91]Kaiwen Hu, Jing Gao, Fangyuan Mao, Xinhui Song, Lechao Cheng, Zunlei Feng, Mingli Song:
Disassembling Convolutional Segmentation Network. Int. J. Comput. Vis. 131(7): 1741-1760 (2023) - [j90]Yang Gao, Zunlei Feng, Xiaoyang Wang, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Reinforcement learning based web crawler detection for diversity and dynamics. Neurocomputing 520: 115-128 (2023) - [j89]Mingli Song, Yan Li, Witold Pedrycz:
Time series prediction with granular neural networks. Neurocomputing 546: 126328 (2023) - [j88]Sihui Luo, Gongfan Fang, Mingli Song:
Deep semantic image compression via cooperative network pruning. J. Vis. Commun. Image Represent. 95: 103897 (2023) - [j87]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) - [j86]Siqi Fan, Fenghua Zhu, Zunlei Feng, Yisheng Lv, Mingli Song, Fei-Yue Wang:
Conservative-Progressive Collaborative Learning for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 32: 6183-6194 (2023) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [c172]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 - [c171]Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen:
Neural TSP Solver with Progressive Distillation. AAAI 2023: 12147-12154 - [c170]Yang Gao, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen:
Drift-aware Anomaly Detection for Non-stationary Time Series. IEEE Big Data 2023: 1095-1100 - [c169]Yuanyu Wan, Lijun Zhang, Mingli Song:
Improved Dynamic Regret for Online Frank-Wolfe. COLT 2023: 3304-3327 - [c168]Shengxuming Zhang, Tianqi Shi, Yang Jiang, Xiuming Zhang, Jie Lei, Zunlei Feng, Mingli Song:
A Loopback Network for Explainable Microvascular Invasion Classification. CVPR 2023: 7443-7453 - [c167]Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun:
How to Prevent the Continuous Damage of Noises to Model Training? CVPR 2023: 12054-12063 - [c166]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CVPR 2023: 16091-16101 - [c165]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 - [c164]Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li:
LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. ECAI 2023: 1060-1067 - [c163]Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song:
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. ECAI 2023: 2583-2590 - [c162]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 - [c161]Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. ICCV 2023: 6102-6112 - [c160]Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song:
Team DETR: Guide Queries as a Professional Team in Detection Transformers. ICIP 2023: 450-454 - [c159]Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song:
Model Doctor for Diagnosing and Treating Segmentation Error. ICIP 2023: 1105-1109 - [c158]Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su:
Message-passing Selection: Towards Interpretable GNNs for Graph Classification. Tiny Papers @ ICLR 2023 - [c157]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. ICLR 2023 - [c156]Hui Su, Yue Ye, Wei Hua, Lechao Cheng, Mingli Song:
SASFormer: Transformers for Sparsely Annotated Semantic Segmentation. ICME 2023: 390-395 - [c155]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML 2023: 43005-43036 - [c154]Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen:
Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks. ICONIP (1) 2023: 147-160 - [c153]Wenxiang Xu, Yongcheng Jing, Linyun Zhou, Wenqi Huang, Lechao Cheng, Zunlei Feng, Mingli Song:
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning. ICONIP (4) 2023: 213-225 - [c152]Gaoang Wang, Mingli Song:
Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting. IJCAI 2023: 1451-1459 - [c151]Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li:
A General Heterogeneous Hypergraph Neural Network for Node Classification. IJCNN 2023: 1-7 - [c150]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. KDD 2023: 237-249 - [c149]Cheng Jin, Liang He, Mingli Song, Rui Wang:
McGE '23: 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice. ACM Multimedia 2023: 9721-9722 - [c148]Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song:
Lookaround Optimizer: k steps around, 1 step average. NeurIPS 2023 - [e1]Cheng Jin, Liang He, Mingli Song, Rui Wang:
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, McGE 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] - [i109]Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia,