Zenglin Xu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 306

Top Venues

Publications

Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Tensorized Hypergraph Neural Networks. SDM (2024)
Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System. CoRR (2024)
Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning. CoRR (2024)
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR (2024)
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR (2024)
Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR (2024)
Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. CoRR (2024)
Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu
OctOcc: High-Resolution 3D Occupancy Prediction with Octree. AAAI (2024)
Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection. ACL (Findings) (2024)
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. ACL (Findings) (2024)
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks. IEEE Trans. Veh. Technol. 73 (8) (2024)
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
Preparing Lessons for Progressive Training on Language Models. AAAI (2024)
Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. CoRR (2024)
Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) (2024)
Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. Int. J. Medical Informatics 186 (2024)
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
Preparing Lessons for Progressive Training on Language Models. CoRR (2024)
Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Shujiong Tang, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao
A Survey on Scheduling Techniques in Computing and Network Convergence. IEEE Commun. Surv. Tutorials 26 (1) (2024)
Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu
MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. 155 (2024)
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. CoRR (2024)
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Renhao Lu, Weizhe Zhang, Qiong Li, Hui He, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang, Zenglin Xu, Mamoun Alazab
Adaptive asynchronous federated learning. Future Gener. Comput. Syst. 152 (2024)
Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu
Efficient privacy-preserving Gaussian process via secure multi-party computation. J. Syst. Archit. 151 (2024)
Irwin King, Guodong Long, Zenglin Xu, Han Yu
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) (2024)
Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
Cumulative Distribution Function based General Temporal Point Processes. CoRR (2024)
Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. CoRR (2024)
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR (2024)
Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu
Label-Aware Distribution Calibration for Long-Tailed Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR (2024)
Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu
Enhancing Efficiency in Sparse Models with Sparser Selection. CoRR (2024)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. AAAI (2024)
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu
Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels. IEEE Signal Process. Lett. 31 (2024)
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING (2024)
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks. CoRR (2023)
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) (2023)
Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. ACL (1) (2023)
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP (2023)
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR (2023)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) (2023)
Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu
Ti-MAE: Self-Supervised Masked Time Series Autoencoders. CoRR (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR (2023)
Youcheng Pan, Baotian Hu, Shiyue Wang, Xiaolong Wang, Qingcai Chen, Zenglin Xu, Min Zhang
Learning to generate complex question with intent prediction from long passage. Appl. Intell. 53 (5) (2023)
Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR (2023)
Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition. CoRR (2023)
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu
Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels. CoRR (2023)
Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach. CoRR (2023)
Shiyu Liu, Linsen Wei, Shaogao Lv, Zenglin Xu
Quantized SGD in Federated Learning: Communication, Optimization and Generalization. ICONIP (9) (2023)
Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR (2023)
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. AAAI (2023)
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR (2023)
Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu
Tensor Networks Meet Neural Networks: A Survey. CoRR (2023)
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
Practical privacy-preserving Gaussian process regression via secret sharing. UAI (2023)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR (2023)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR (2023)
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR (2023)
Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu
Personalized Federated Learning via Amortized Bayesian Meta-Learning. CoRR (2023)
Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) (2023)
Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu
Contrastive Kernel Subspace Clustering. ICONIP (5) (2023)
Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu
Single image denoising with a feature-enhanced network. Neural Networks 168 (2023)
Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu
Stein Variational Gradient Descent with Multiple Kernels. Cogn. Comput. 15 (2) (2023)
Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu
FedLab: A Flexible Federated Learning Framework. J. Mach. Learn. Res. 24 (2023)
Zhe Li, Shiyi Qi, Yiduo Li, Zenglin Xu
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping. CoRR (2023)
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing. CoRR (2023)
Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
On Diversified Preferences of Large Language Model Alignment. CoRR (2023)
Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu
Edge enhancement improves adversarial robustness in image classification. Neurocomputing 518 (2023)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
Generalized Category Discovery with Clustering Assignment Consistency. CoRR (2023)
Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. CoRR (2023)
Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. ICCV (2023)
Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP (2023)
Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) (2023)
Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu
BadCS: A Backdoor Attack Framework for Code search. CoRR (2023)
Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. EACL (Findings) (2023)
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS (2023)
Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167 (2023)
Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM (2023)
Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song
Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks. CoRR (2023)
Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. IJCAI (2023)
Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. IJCAI (2023)
Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN (2023)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS (2023)
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS (2023)
Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) (2023)
Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Tensorized Hypergraph Neural Networks. CoRR (2023)
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
Stochastic Clustered Federated Learning. CoRR (2023)
Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition. ICASSP (2023)
Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) (2022)
Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR (2022)
Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. ICML (2022)
Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu
Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP (2022)
Dun Zeng, Shiyu Liu, Zenglin Xu
Aggregating Gradients in Encoded Domain for Federated Learning. CoRR (2022)
Zi Gong, Yinpeng Guo, Pingyi Zhou, Cuiyun Gao, Yasheng Wang, Zenglin Xu
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. CoRR (2022)
Linyang Li, Yong Dai, Duyu Tang, Zhangyin Feng, Cong Zhou, Xipeng Qiu, Zenglin Xu, Shuming Shi
MarkBERT: Marking Word Boundaries Improves Chinese BERT. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zenglin Xu