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2025

Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and OpportunitiesYaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng 0003, David Lo 0001, Michael R. Lyu, Zenglin Xu. TSE, 51(2):521-547, February 2025. [doi]

LinkOcc: 3D Semantic Occupancy Prediction With Temporal AssociationWenzhe Ouyang, Zenglin Xu, Bin Shen 0002, Jinghua Wang, Yong Xu 0001. tcsv, 35(2):1374-1384, February 2025. [doi]

PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask headWenzhe Ouyang, Zenglin Xu, Qianying Zhu, Bin Shen, Yong Xu 0001. PR, 161:111306, 2025. [doi]

CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image ClassificationJing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao 0001, Zenglin Xu. tnn, 36(2):3098-3110, February 2025. [doi]

2024

Preparing Lessons for Progressive Training on Language ModelsYu Pan 0005, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang 0004, Lifeng Shang, Xin Jiang, Qun Liu. AAAI 2024: 18860-18868 [doi]

Enhancing Sindhi Word Segmentation Using Subword Representation Learning and Position-Aware Self-AttentionWazir Ali, Jay Kumar, Saifullah Tumani, Redhwan Nour, Adeeb Noor, Zenglin Xu. access, 12:183133-183142, 2024. [doi]

Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced AttackGuanzhong Chen, Zhenghan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu. ccs 2024: 2904-2918 [doi]

Discriminative Forests Improve Generative Diversity for Generative Adversarial NetworksJunjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi. AAAI 2024: 11338-11345 [doi]

CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking SystemGe Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen 0001, Zenglin Xu. pacmhci, 8(CSCW2):1-39, 2024. [doi]

FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family ClusteringZhihan Guo, Yifei Zhang, Zhuo Zhang 0007, Zenglin Xu, Irwin King. naacl 2024: 1519-1528 [doi]

FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual ModelingZhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King. WWW 2024: 1558-1567 [doi]

Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning ApproachBin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu 0022. rlc 2024: 1289-1305

CGDD: Multiview Graph Clustering via Cross-Graph Diversity DetectionShudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001. tnn, 35(3):4206-4219, March 2024. [doi]

FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the WebIrwin King, Guodong Long, Zenglin Xu, Han Yu 0001. WWW 2024: 1546-1547 [doi]

On the Necessity of Collaboration for Online Model Selection with Decentralized DataJunfan Li, Zheshun Wu, Zenglin Xu, Irwin King. nips 2024: [doi]

Predicting intubation for intensive care units patients: A deep learning approach to improve patient managementRuixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng. ijmi, 186:105425, 2024. [doi]

Tackling Long-Tailed Distribution Issue in Graph Neural Networks via NormalizationLangzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi 0001, Jieping Ye. tkde, 36(5):2213-2223, May 2024. [doi]

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic GraphsLangzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi 0001. icml 2024: [doi]

Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local EntropyShiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang 0013. IJCAI 2024: 4578-4586 [doi]

Efficient privacy-preserving Gaussian process via secure multi-party computationShiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu. jsa, 151:103134, 2024. [doi]

Adaptive asynchronous federated learningRenhao Lu, Weizhe Zhang, Qiong Li, Hui He, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang 0002, Zenglin Xu, Mamoun Alazab. fgcs, 152:193-206, March 2024. [doi]

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPCJinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu 0001, Zenglin Xu. acl 2014: 13333-13348 [doi]

Multi-Task Multi-Attention Transformer for Generative Named Entity RecognitionYing Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu 0014, Zhoujun Li 0001. taslp, 32:4171-4183, 2024. [doi]

OctOcc: High-Resolution 3D Occupancy Prediction with OctreeWenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu. AAAI 2024: 4369-4377 [doi]

MixingMask: A contour-aware approach for joint object detection and instance segmentationWenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu. PR, 155:110620, 2024. [doi]

A Systematic Survey on Federated Semi-supervised LearningZixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu 0004, Zenglin Xu, Irwin King. IJCAI 2024: 8244-8252 [doi]

Euclidean Distance is Not Your Swiss Army KnifeYuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv 0001. tkde, 36(12):8179-8191, December 2024. [doi]

A Survey on Scheduling Techniques in Computing and Network ConvergenceShujiong Tang, Yue Yu 0001, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo 0001, Wen Gao. comsur, 26(1):160-195, Firstquarter 2024. [doi]

Label-Aware Distribution Calibration for Long-Tailed ClassificationChaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu. tnn, 35(5):6963-6975, May 2024. [doi]

Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark StudyHongye Wang, Ruonan Li, Zenglin Xu, Jinlong Li, Irwin King, Jie Liu. ijcnn 2024: 1-8 [doi]

Tensorized Hypergraph Neural NetworksMaolin Wang, Yaoming Zhen, Yu Pan 0005, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao 0001. sdm 2024: 127-135 [doi]

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction LearningTaowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu. emnlp 2024: 3723-3740 [doi]

MVEB: Self-Supervised Learning With Multi-View Entropy BottleneckLiangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu. pami, 46(9):6097-6108, September 2024. [doi]

Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D NetworksZheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu 0001. tvt, 73(8):12201-12206, August 2024. [doi]

Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy ChannelsZheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu 0001. spl, 31:691-695, 2024. [doi]

XMoE: Sparse Models with Fine-grained and Adaptive Expert SelectionYuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu. acl 2014: 11664-11674 [doi]

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer InteractionLi Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang 0008, Lifu Huang, Dongfang Liu. emnlp 2024: 1491-1505 [doi]

TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A SiteYuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia 0001, Chuanyi Liu. TOSEM, 33(1), January 2024. [doi]

On Diversified Preferences of Large Language Model AlignmentDun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu. emnlp 2024: 9194-9210 [doi]

A Survey of Trustworthy Federated Learning: Issues, Solutions, and ChallengesYifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu 0004, Guanzhong Chen, Zenglin Xu, Irwin King. tist, 15(6), December 2024. [doi]

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language UnderstandingZhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu. COLING 2024: 14080-14091 [doi]

2023

Reusing Pretrained Models by Multi-linear Operators for Efficient TrainingYu Pan 0005, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu. nips 2023: [doi]

Generative Oversampling for Imbalanced Data via Majority-Guided VAEQingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu. aistats 2023: 3315-3330 [doi]

Stein Variational Gradient Descent with Multiple KernelsQingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu. cogcom, 15(2):672-682, March 2023. [doi]

Boosting adversarial robustness via self-paced adversarial trainingLirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren 0001, Qifan Wang, Zenglin Xu. NN, 167:706-714, October 2023. [doi]

Edge enhancement improves adversarial robustness in image classificationLirong He, Qingzhong Ai, Yuqing Lei, Lili Pan 0001, Yazhou Ren 0001, Zenglin Xu. ijon, 518:122-132, 2023. [doi]

Flexible Contribution Estimation Methods for Horizontal Federated LearningXiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo 0002, Irwin King. ijcnn 2023: 1-8 [doi]

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View ClusteringZongmo Huang, Yazhou Ren 0001, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He 0001. AAAI 2023: 7936-7943 [doi]

Multi-View Subspace Clustering by Joint Measuring of Consistency and DiversityShudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001. tkde, 35(8):8270-8281, August 2023. [doi]

Latent Representation Guided Multi-View ClusteringShudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001. tkde, 35(7):7082-7087, July 2023. [doi]

SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series ForecastingYiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu. IJCAI 2023: 2169-2177 [doi]

Predicting Global Label Relationship Matrix for Graph Neural Networks under HeterophilyLangzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King. nips 2023: [doi]

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical ClusteringFangfei Lin, Bing Bai, Yiwen Guo, Hao Chen 0003, Yazhou Ren 0001, Zenglin Xu. iccv 2023: 16479-16489 [doi]

Quantized SGD in Federated Learning: Communication, Optimization and GeneralizationShiyu Liu, Linsen Wei, Shaogao Lv, Zenglin Xu. iconip 2024: 205-217 [doi]

Practical privacy-preserving Gaussian process regression via secret sharingJinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu. uai 2023: 1315-1325 [doi]

Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity RecognitionYing Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu 0014, Zhoujun Li. icassp 2023: 1-5 [doi]

Learning to generate complex question with intent prediction from long passageYoucheng Pan, Baotian Hu, Shiyue Wang, Xiaolong Wang 0001, Qingcai Chen, Zenglin Xu, Min Zhang 0005. apin, 53(5):5823-5833, March 2023. [doi]

1st Workshop on Federated Learning TechnologiesMirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King. WWW 2023: 1150 [doi]

Graph-Based Semi-Supervised Learning: A Comprehensive ReviewZixing Song, Xiangli Yang, Zenglin Xu, Irwin King. tnn, 34(11):8174-8194, November 2023. [doi]

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language ModelsQifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu. emnlp 2023: 9147-9160 [doi]

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor FactorizationMaolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao 0001. icdm 2023: 1361-1366 [doi]

MUSTIE: Multimodal Structural Transformer for Web Information ExtractionQifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu. acl 2023: 2405-2420 [doi]

RegNet: Self-Regulated Network for Image ClassificationJing Xu, Yu Pan 0005, Xinglin Pan, Steven C. H. Hoi, Zhang Yi 0001, Zenglin Xu. tnn, 34(11):9562-9567, November 2023. [doi]

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video CaptioningLiqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang. IJCAI 2023: 1622-1630 [doi]

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair ModelingYuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu. emnlp 2023: 2800-2806 [doi]

Generalized Category Discovery with Clustering Assignment ConsistencyXiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu. iconip 2024: 535-547 [doi]

A Survey on Deep Semi-Supervised LearningXiangli Yang, Zixing Song, Irwin King, Zenglin Xu. tkde, 35(9):8934-8954, September 2023. [doi]

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value ExtractionLi Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu. acl 2023: 9978-9991 [doi]

FedLab: A Flexible Federated Learning FrameworkDun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu. jmlr, 24, 2023. [doi]

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and PrivacyYifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King. WWW 2023: 1167-1176 [doi]

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLPZhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu. acl 2023: 3492-3507 [doi]

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language ModelsZhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu. acl 2023: 9963-9977 [doi]

Contrastive Kernel Subspace ClusteringQian Zhang, Zhao Kang 0001, Zenglin Xu, Hongguang Fu. iconip 2024: 399-410 [doi]

Single image denoising with a feature-enhanced networkRuibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu 0001. NN, 168:313-325, November 2023. [doi]

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human ActivitiesTerry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren 0001, Zenglin Xu. eacl 2023: 2147-2162 [doi]

2022

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural NetworksYu Pan 0005, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li 0001, Zenglin Xu. icml 2022: 17238-17257 [doi]

Graph Fusion Network for Text ClassificationYong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang 0001, Zenglin Xu, Daxin Jiang. kbs, 236:107659, 2022. [doi]

Field-aware Variational Autoencoders for Billion-scale User Representation LearningGe Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong. icde 2022: 3413-3425 [doi]

Source Code Summarization with Structural Relative Position Guided TransformerZi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu. WCRE 2022: 13-24 [doi]

Multi-view Subspace Clustering on Topological ManifoldShudong Huang, Hongjie Wu, Yazhou Ren 0001, Ivor Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv. nips 2022: [doi]

Learning Smooth Representation for Multi-view Subspace ClusteringShudong Huang, Yixi Liu, Yazhou Ren 0001, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001. mm 2022: 3421-3429 [doi]

Multi-View Clustering on Topological ManifoldShudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001, Quanhui Liu. AAAI 2022: 6944-6951 [doi]

Multiple partitions alignment via spectral rotationShudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001. ml, 111(3):1049-1072, 2022. [doi]

Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View ClusteringShudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv 0001. tkde, 34(12):5869-5883, 2022. [doi]

Efficient federated multi-view learningShudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv 0001. PR, 131:108817, 2022. [doi]

ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data CentersZonghang Li, Huaman Zhou, Tianyao Zhou, Hongfang Yu, Zenglin Xu, Gang Sun. tsc, 15(4):2261-2274, 2022. [doi]

Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoTZonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li 0002, Zenglin Xu, Dusit Niyato. iotj, 9(18):17844-17857, 2022. [doi]

Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained ClusteringYazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu. emnlp 2022: 1352-1364 [doi]

Contrastive Multi-view Hyperbolic Hierarchical ClusteringFangfei Lin, Bing Bai, Kun Bai, Yazhou Ren 0001, Peng Zhao, Zenglin Xu. IJCAI 2022: 3250-3256 [doi]

Channel Importance Matters in Few-Shot Image ClassificationXu Luo, Jing Xu, Zenglin Xu. icml 2022: 14542-14559 [doi]

TedNet: A Pytorch toolkit for tensor decomposition networksYu Pan, Maolin Wang, Zenglin Xu. ijon, 469:234-238, 2022. [doi]

AFINet: Attentive Feature Integration Networks for image classificationXinglin Pan, Jing Xu, Yu Pan 0005, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu. NN, 155:360-368, 2022. [doi]

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value ExtractionQifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma 0001. emnlp 2022: 263-276 [doi]

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word GenerationQifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma 0001. emnlp 2022: 46-61 [doi]

Semantically Proportional Patchmix for Few-Shot LearningJingquan Wang, Jing Xu, Yu Pan 0005, Zenglin Xu. icassp 2022: 1895-1899 [doi]

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidJing Xu, Xu Luo 0003, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu. nips 2022: [doi]

Heterogeneous Federated Learning via Grouped Sequential-to-Parallel TrainingShenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu 0001. dasfaa 2022: 455-471 [doi]

Re-thinking model robustness from stability: a new insight to defend adversarial examplesShufei Zhang, Kaizhu Huang, Zenglin Xu. ml, 111(7):2489-2513, 2022. [doi]

ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label NoiseChenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu. ijcnn 2022: 1-8 [doi]

Federated Model Decomposition with Private Vocabulary for Text ClassificationZhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu. emnlp 2022: 6413-6425 [doi]

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