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2020 – today
- 2024
[j109]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)- [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]Qihao Shi, Wujian Yang, Can Wang, Mingli Song:
Robust misinformation prevention with uncertainty on suspicious nodes. Neurocomputing 577: 127344 (2024) - [j102]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) - [j101]Xu Yang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song:
Regularized online exponentially concave optimization. Neurocomputing 595: 127789 (2024) - [j100]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) - [j99]Mingli Song, Ruobing Wang:
Complexity-aided time series modeling and forecasting under a decomposition-aggregation framework. Inf. Sci. 664: 120352 (2024) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [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) - [c189]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 - [c188]Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen:
Sampling-Resilient Multi-Object Tracking. AAAI 2024: 3297-3305 - [c187]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 - [c186]Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song:
On the Concept Trustworthiness in Concept Bottleneck Models. AAAI 2024: 21161-21168 - [c185]Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang:
Nearly Optimal Regret for Decentralized Online Convex Optimization. COLT 2024: 4862-4888 - [c184]Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song:
Training-Free Pretrained Model Merging. CVPR 2024: 5915-5925 - [c183]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 - [c182]Tian Qiu, Wenxiang Xu, Lin Chen, Linyun Zhou, Zunlei Feng, Mingli Song:
Dynamic Neural Response Tuning. ICLR 2024 - [c181]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 - [c180]Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang:
Non-stationary Online Convex Optimization with Arbitrary Delays. ICML 2024 - [c179]Chengji Shen, Zunlei Feng, Zhongle Xie, Jie Lei, Huiqiong Wang, Mingli Song:
GAN Doctor: Diagnosing and Treating Inherent Semantic Errors. IJCNN 2024: 1-8 - [c178]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 - [c177]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 - [c176]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 - [c175]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 - [c174]Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng:
Simple Graph Condensation. ECML/PKDD (2) 2024: 53-71 - [c173]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. WWW 2024: 3509-3520 - [i130]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) - [i129]Zhenbang Xiao, Shunyu Liu, Yu Wang, Tongya Zheng, Mingli Song:
Disentangled Condensation for Large-scale Graphs. CoRR abs/2401.12231 (2024) - [i128]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) - [i127]Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang:
Improved Regret for Bandit Convex Optimization with Delayed Feedback. CoRR abs/2402.09152 (2024) - [i126]Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang:
Nearly Optimal Regret for Decentralized Online Convex Optimization. CoRR abs/2402.09173 (2024) - [i125]Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song:
Training-Free Pretrained Model Merging. CoRR abs/2403.01753 (2024) - [i124]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. CoRR abs/2403.01801 (2024) - [i123]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) - [i122]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) - [i121]Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng:
Simple Graph Condensation. CoRR abs/2403.14951 (2024) - [i120]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) - [i119]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) - [i118]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) - [i117]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) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]Ziyue Chen, Tongya Zheng, Mingli Song:
Curriculum Negative Mining For Temporal Networks. CoRR abs/2407.17070 (2024) - [i110]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) - 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, Shaolun Yao, Tingjun Hou, Mingli Song:
Recent advances in artificial intelligence for retrosynthesis. CoRR abs/2301.05864 (2023) - [i108]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CoRR abs/2301.12900 (2023) - [i107]Yuanyu Wan, Lijun Zhang, Mingli Song:
Improved Dynamic Regret for Online Frank-Wolfe. CoRR abs/2302.05620 (2023) - [i106]Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song:
Team DETR: Guide Queries as a Professional Team in Detection Transformers. CoRR abs/2302.07116 (2023) - [i105]Shenghao 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. CoRR abs/2302.07676 (2023) - [i104]Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song:
Model Doctor for Diagnosing and Treating Segmentation Error. CoRR abs/2302.08980 (2023) - [i103]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. CoRR abs/2303.06635 (2023) - [i102]Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song:
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. CoRR abs/2303.14666 (2023) - [i101]Wenxiang Xu, Linyun Zhou, Lin Chen, Lechao Cheng, Jie Lei, Zunlei Feng, Mingli Song:
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning. CoRR abs/2304.04135 (2023) - [i100]Jiawei Chen, Lin Chen, Jiang Yang, Tianqi Shi, Lechao Cheng, Zunlei Feng, Mingli Song:
Life Regression based Patch Slimming for Vision Transformers. CoRR abs/2304.04926 (2023) - [i99]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. CoRR abs/2304.07501 (2023) - [i98]Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR abs/2304.07503 (2023) - [i97]Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang:
Non-stationary Online Convex Optimization with Arbitrary Delays. CoRR abs/2305.12131 (2023) - [i96]Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song:
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? CoRR abs/2305.17352 (2023) - [i95]Yucheng Liao, Yuanyu Wan, Chang Yao, Mingli Song:
Improved Projection-free Online Continuous Submodular Maximization. CoRR abs/2305.18442 (2023) - [i94]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. CoRR abs/2305.19903 (2023) - [i93]Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Yingjie Tian, Yun Su, Mingli Song:
Message-passing selection: Towards interpretable GNNs for graph classification. CoRR abs/2306.02081 (2023) - [i92]