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2020 – today
- 2024
- [j46]Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1530-1544 (2024) - [j45]Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng:
Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. IEEE Trans. Image Process. 33: 3520-3535 (2024) - [j44]Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen:
Noise-Tolerant Learning for Audio-Visual Action Recognition. IEEE Trans. Multim. 26: 7761-7774 (2024) - [c49]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. AAAI 2024: 1463-1471 - [c48]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang:
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. AAAI 2024: 2480-2488 - [c47]Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo:
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. ACL (Findings) 2024: 2637-2667 - [c46]Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov:
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. ACL (1) 2024: 3580-3601 - [c45]Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao:
Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. ACL (1) 2024: 5809-5821 - [c44]Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang:
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CVPR 2024: 26669-26678 - [c43]Herun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo:
FNDPro: Evaluating the Importance of Propagations during Fake News Spread. DASFAA (6) 2024: 52-67 - [c42]Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng:
Masked Distillation Advances Self-Supervised Transformer Architecture Search. ICLR 2024 - [c41]Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li:
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR 2024 - [c40]Zihan Ma, Huan Liu, Zhi Zeng, Hao Guo, Xiang Zhao, Minnan Luo:
Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection. ICME 2024: 1-6 - [c39]Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang:
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. ACM Multimedia 2024: 4640-4649 - [c38]Zhi Zeng, Minnan Luo, Xiangzheng Kong, Huan Liu, Hao Guo, Hao Yang, Zihan Ma, Xiang Zhao:
Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection. ACM Multimedia 2024: 6492-6500 - [c37]Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo:
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. ECML/PKDD (1) 2024: 161-179 - [c36]Lijing Zheng, Jihong Wang, Huan Liu, Minnan Luo:
Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information Bottleneck. ECML/PKDD (1) 2024: 387-405 - [c35]Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo:
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. WSDM 2024: 57-66 - [i49]Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov:
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. CoRR abs/2402.00371 (2024) - [i48]Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo:
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. CoRR abs/2402.10426 (2024) - [i47]Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang:
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CoRR abs/2403.05105 (2024) - [i46]Zinan Zeng, Sen Ye, Zijian Cai, Heng Wang, Yuhan Liu, Haokai Zhang, Minnan Luo:
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts. CoRR abs/2403.05265 (2024) - [i45]Haochen Han, Minnan Luo, Huan Liu, Fang Nan:
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels. CoRR abs/2403.13480 (2024) - [i44]Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang:
Disentangled Noisy Correspondence Learning. CoRR abs/2408.05503 (2024) - [i43]Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao:
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. CoRR abs/2408.09613 (2024) - 2023
- [j43]Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu:
Heterogeneous graph attention network with motif clique. Neurocomputing 555: 126608 (2023) - [j42]Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang:
Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 722-737 (2023) - [j41]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - [j40]Zhenfei Luo, Yixiang Dong, Qinghua Zheng, Huan Liu, Minnan Luo:
Dual-channel graph contrastive learning for self-supervised graph-level representation learning. Pattern Recognit. 139: 109448 (2023) - [j39]Zhuohang Dang, Minnan Luo, Chengyou Jia, Caixia Yan, Xiaojun Chang, Qinghua Zheng:
Counterfactual Generation Framework for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3747-3758 (2023) - [j38]Chengyou Jia, Minnan Luo, Caixia Yan, Linchao Zhu, Xiaojun Chang, Qinghua Zheng:
Collaborative Contrastive Refining for Weakly Supervised Person Search. IEEE Trans. Image Process. 32: 4951-4963 (2023) - [c34]Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo:
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. ACL (1) 2023: 10326-10340 - [c33]Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo:
Noisy Correspondence Learning with Meta Similarity Correction. CVPR 2023: 7517-7526 - [c32]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) 2023: 14295-14312 - [c31]Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo:
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. EMNLP 2023: 16035-16050 - [c30]Chengyou Jia, Minnan Luo, Zhuohang Dang, Xiaojun Chang, Qinghua Zheng:
Towards Real-Time Person Search with Invariant Feature Learning. ICASSP 2023: 1-5 - [c29]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). ICDE 2023: 3799-3800 - [c28]Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng:
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD 2023: 2349-2360 - [c27]Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo:
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. SIGIR 2023: 485-495 - [c26]Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo:
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. WWW 2023: 2548-2559 - [i42]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR abs/2302.00381 (2023) - [i41]Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo:
Noisy Correspondence Learning with Meta Similarity Correction. CoRR abs/2304.06275 (2023) - [i40]Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo:
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. CoRR abs/2304.06280 (2023) - [i39]Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo:
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. CoRR abs/2304.11411 (2023) - [i38]Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, Minnan Luo:
HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention. CoRR abs/2306.12870 (2023) - [i37]Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Hongrui Wang, Zifeng Zhu, Qinghua Zheng, Minnan Luo:
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. CoRR abs/2306.17408 (2023) - [i36]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang:
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation. CoRR abs/2308.10156 (2023) - [i35]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. CoRR abs/2309.11125 (2023) - [i34]Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li:
Adversarial Attacks on Fairness of Graph Neural Networks. CoRR abs/2310.13822 (2023) - [i33]Shiqi Lou, Qingyue Zhang, Shujie Yang, Yuyang Tian, Zhaoxuan Tan, Minnan Luo:
GADY: Unsupervised Anomaly Detection on Dynamic Graphs. CoRR abs/2310.16376 (2023) - [i32]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
Disentangled Representation Learning with Transmitted Information Bottleneck. CoRR abs/2311.01686 (2023) - [i31]Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo:
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. CoRR abs/2311.04760 (2023) - [i30]Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang:
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. CoRR abs/2312.02226 (2023) - [i29]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. CoRR abs/2312.16478 (2023) - 2022
- [j37]Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling. Data Sci. Eng. 7(1): 16-29 (2022) - [j36]Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
A new self-supervised task on graphs: Geodesic distance prediction. Inf. Sci. 607: 1195-1210 (2022) - [j35]Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022) - [j34]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 34(6): 2539-2552 (2022) - [c25]Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. AAAI 2022: 3977-3985 - [c24]Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. CIKM 2022: 520-529 - [c23]Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo:
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. EMNLP 2022: 12022-12036 - [c22]Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo:
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE 2022: 3254-3267 - [c21]Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo:
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. NAACL-HLT 2022: 4129-4140 - [c20]Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo:
TwiBot-22: Towards Graph-Based Twitter Bot Detection. NeurIPS 2022 - [i28]Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng:
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. CoRR abs/2201.08557 (2022) - [i27]Chengyou Jia, Minnan Luo, Caixia Yan, Xiaojun Chang, Qinghua Zheng:
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search. CoRR abs/2203.14307 (2022) - [i26]Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo:
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. CoRR abs/2204.04046 (2022) - [i25]Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen:
Noise-Tolerant Learning for Audio-Visual Action Recognition. CoRR abs/2205.07611 (2022) - [i24]Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang:
Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR abs/2205.09934 (2022) - [i23]Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo:
TwiBot-22: Towards Graph-Based Twitter Bot Detection. CoRR abs/2206.04564 (2022) - [i22]Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo:
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. CoRR abs/2208.07622 (2022) - [i21]Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo:
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. CoRR abs/2208.08200 (2022) - [i20]Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, Minnan Luo:
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. CoRR abs/2208.08320 (2022) - [i19]Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Jun Zhou, Qinghua Zheng, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. CoRR abs/2208.09027 (2022) - [i18]Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo:
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. CoRR abs/2210.08362 (2022) - [i17]Zhuohang Dang, Jihong Wang, Minnan Luo, Chengyou Jia, Caixia Yan, Qinghua Zheng:
Disentangled Generation with Information Bottleneck for Few-Shot Learning. CoRR abs/2211.16185 (2022) - 2021
- [j33]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable shot identification for complex event detection via visual-semantic embedding. Comput. Vis. Image Underst. 213: 103300 (2021) - [j32]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Trans. Intell. Syst. Technol. 12(1): 4:1-4:19 (2021) - [c19]Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo:
BotRGCN: Twitter bot detection with relational graph convolutional networks. ASONAM 2021: 236-239 - [c18]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. CIKM 2021: 3808-3817 - [c17]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CIKM 2021: 4485-4494 - [c16]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. DASFAA (1) 2021: 272-289 - [i16]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. CoRR abs/2101.10535 (2021) - [i15]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CoRR abs/2106.13088 (2021) - [i14]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. CoRR abs/2106.13089 (2021) - [i13]Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo:
BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks. CoRR abs/2106.13092 (2021) - [i12]Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo:
Knowledge Graph Augmented Political Perspective Detection in News Media. CoRR abs/2108.03861 (2021) - [i11]Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo:
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction. CoRR abs/2108.03881 (2021) - [i10]Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers. CoRR abs/2109.02927 (2021) - [i9]Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object detection. CoRR abs/2109.06062 (2021) - [i8]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding. CoRR abs/2110.08063 (2021) - [i7]Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng:
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. CoRR abs/2110.12906 (2021) - 2020
- [j31]Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng:
Scalable attack on graph data by injecting vicious nodes. Data Min. Knowl. Discov. 34(5): 1363-1389 (2020) - [j30]Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu:
An anomaly detection framework for time-evolving attributed networks. Neurocomputing 407: 39-49 (2020) - [j29]Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng:
Nonlinear feature selection on attributed networks. Neurocomputing 410: 161-173 (2020) - [j28]Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu:
Dual-stream generative adversarial networks for distributionally robust zero-shot learning. Inf. Sci. 519: 407-422 (2020) - [j27]Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao:
Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. 210: 106432 (2020) - [j26]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann:
Few-shot activity recognition with cross-modal memory network. Pattern Recognit. 108: 107348 (2020) - [j25]Gang Wei, Minnan Luo, Huan Liu, Donghui Zhang, Qinghua Zheng:
Progressive generative adversarial networks with reliable sample identification. Pattern Recognit. Lett. 130: 91-98 (2020) - [j24]Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng:
Diverse fuzzy c-means for image clustering. Pattern Recognit. Lett. 130: 275-283 (2020) - [j23]Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann:
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. IEEE Trans. Image Process. 29: 8163-8176 (2020) - [j22]Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann:
Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. 22(3): 775-785 (2020) - [c15]Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng:
Graph Few-shot Learning with Attribute Matching. CIKM 2020: 1545-1554 - [c14]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c13]Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng:
Unsupervised Hierarchical Feature Selection on Networked Data. DASFAA (3) 2020: 137-153 - [c12]Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng:
Cross-Graph Representation Learning for Unsupervised Graph Alignment. DASFAA (2) 2020: 368-384 - [c11]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. WWW 2020: 259-270 - [i6]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. CoRR abs/2002.01169 (2020) - [i5]Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
Self-Supervised Graph Representation Learning via Global Context Prediction. CoRR abs/2003.01604 (2020) - [i4]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i3]Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng:
Scalable Attack on Graph Data by Injecting Vicious Nodes. CoRR abs/2004.13825 (2020) - [i2]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. CoRR abs/2009.12362 (2020)
2010 – 2019
- 2019
- [j21]Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Kuan Zhang:
Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks. IEEE Internet Things J. 6(3): 4536-4546 (2019) - [j20]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann:
Scheduled sampling for one-shot learning via matching network. Pattern Recognit. 96 (2019) - [j19]Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng:
Large-Scale Robust Semisupervised Classification. IEEE Trans. Cybern. 49(3): 907-917 (2019) - [j18]Chunfang Liu, Wen-bing Huang, Fuchun Sun, Minnan Luo, Chuanqi Tan:
LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition. IEEE Trans. Fuzzy Syst. 27(1): 72-83 (2019) - [j17]Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie:
Discrete Multi-Graph Clustering. IEEE Trans. Image Process. 28(9): 4701-4712 (2019) - [c10]Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu:
Anomaly Detection in Time-Evolving Attributed Networks. DASFAA (3) 2019: 235-239 - [c9]Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng:
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. DASFAA (1) 2019: 571-586 - 2018
- [j16]Caixia Yan, Minnan Luo, Huan Liu, Zhihui Li, Qinghua Zheng:
Top-k multi-class SVM using multiple features. Inf. Sci. 432: 479-494 (2018) - [j15]Caixia Yan, Minnan Luo, Wenhe Liu, Qinghua Zheng:
Robust dictionary learning with graph regularization for unsupervised person re-identification. Multim. Tools Appl. 77(3): 3553-3577 (2018) - [j14]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng:
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. Neural Comput. 30(5) (2018) - [j13]Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. IEEE Trans. Cybern. 48(2): 648-660 (2018) - [j12]Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong:
Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities. IEEE Trans. Ind. Informatics 14(6): 2550-2559 (2018) - [j11]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Adaptive Unsupervised Feature Selection With Structure Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(4): 944-956 (2018) - [c8]Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng:
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. IJCAI 2018: 3513-3519 - 2017
- [j10]Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to complex cross-modal learning to rank. Comput. Vis. Image Underst. 163: 67-77 (2017) - [j9]Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng:
Distributed extreme learning machine with alternating direction method of multiplier. Neurocomputing 261: 164-170 (2017) - [j8]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean ℓ2, 1-Norm Maximization-Based Robust PCA for Reconstruction. Neural Comput. 29(4): 1124-1150 (2017) - [j7]Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang:
Sparse Relational Topical Coding on multi-modal data. Pattern Recognit. 72: 368-380 (2017) - [c7]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. AAAI 2017: 2308-2314 - [c6]Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng:
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. IJCAI 2017: 2421-2427 - [c5]Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng:
How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017: 4040-4046 - [i1]Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to Complex Cross-modal Learning to Rank. CoRR abs/1702.01229 (2017) - 2016
- [j6]Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng:
Sparse Multi-Modal Topical Coding for Image Annotation. Neurocomputing 214: 162-174 (2016) - [j5]Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, Yu Qu:
Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions. IEEE Trans. Fuzzy Syst. 24(3): 600-614 (2016) - [c4]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization. IJCAI 2016: 1802-1808 - 2014
- [j4]Minnan Luo, Fuchun Sun, Huaping Liu, Zhijun Li:
A novel T-S fuzzy systems identification with block structured sparse representation. J. Frankl. Inst. 351(7): 3508-3523 (2014) - [j3]Minnan Luo, Fuchun Sun, Huaping Liu:
Joint Block Structure Sparse Representation for Multi-Input-Multi-Output (MIMO) T-S Fuzzy System Identification. IEEE Trans. Fuzzy Syst. 22(6): 1387-1400 (2014) - [c3]Minnan Luo, Fuchun Sun, Huaping Liu:
Sparse fuzzy c-regression models with application to T-S fuzzy systems identification. FUZZ-IEEE 2014: 1571-1577 - 2013
- [j2]Minnan Luo, Fuchun Sun, Huaping Liu:
Hierarchical Structured Sparse Representation for T-S Fuzzy Systems Identification. IEEE Trans. Fuzzy Syst. 21(6): 1032-1043 (2013) - 2012
- [j1]Minnan Luo, Yongming Li, Fuchun Sun, Huaping Liu:
A new algorithm for testing diagnosability of fuzzy discrete event systems. Inf. Sci. 185(1): 100-113 (2012) - [c2]Minnan Luo, Fuchun Sun, Huaping Liu:
A dynamic T-S fuzzy systems identification algorithm based on sparsity regularization. ISIC 2012: 721-726 - 2011
- [c1]Fuchun Sun, Jin Yang, Minnan Luo, Huaping Liu:
Optimal necessary conditions for general SISO Mamdani fuzzy systems as function approximators within a given accuracy. FUZZ-IEEE 2011: 2319-2326
Coauthor Index
aka: Alexander G. Hauptmann
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