Zenglin Xu

433 papers A* 74A 13B 21C 2Misc 3Journal 262Unranked 58
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
ACM Comput. Surv.
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026 J jnl
Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions.
Artif. Intell. Rev.
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu
2026 J jnl
DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding.
CoRR
Mingxi Zou, Jiaxiang Chen, Junfan Li, Langzhang Liang, Qifan Wang, Yinghui Xu, Zenglin Xu
2026 J jnl
Enhancing progressive ensemble learning via normalized extra-Gradient initialization.
Neural Networks
Zheshun Wu, Yu Pan, Dun Zeng, Qifan Wang, Zenglin Xu, Jie Liu
2026 J jnl
FDNet: High-frequency disentanglement network with information-theoretic guidance for multivariate time series forecasting.
Pattern Recognit.
Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, Zenglin Xu
2026 J jnl
FinEvo: From Isolated Backtests to Ecological Market Games for Multi-Agent Financial Strategy Evolution.
CoRR
Mingxi Zou, Jiaxiang Chen, Aotian Luo, Jingyi Dai, Chi Zhang, Dongning Sun, Zenglin Xu
2026 A* conf
GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms.
WWW
Maolin Wang, Beining Bao, Hongyu Chen, Zichun Liu, Lang Fu, Jun Chu, Langzhang Liang, Zenglin Xu
2026 J jnl
Online Optimization for Learning to Communicate Over Time-Correlated Channels.
IEEE Trans. Cogn. Commun. Netw.
Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu
2026 A* conf
Renormalization Group Guided Tensor Network Structure Search.
AAAI
Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2026 J jnl
TimeCNN: Refining inscross-variable interaction on time point for time series forecasting.
Neural Networks
Ao Hu, Liangjian Wen, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan
2026 J jnl
X-GS: An Extensible Open Framework for Perceiving and Thinking via 3D Gaussian Splatting.
CoRR
Yueen Ma, Zenglin Xu, Irwin King
2025 A* conf
A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions.
COLT
Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie
2025 J jnl
A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions.
CoRR
Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie
2025 — conf
Adaptive Downscaling on Inputs Improves Time Series Classification.
PRCV (4)
Xuanxuan Li, Zenglin Xu, Liangjian Wen, Xun Zhou, Jinghua Wang
2025 J jnl
Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients.
IEEE Trans. Neural Networks Learn. Syst.
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu
2025 J jnl
Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization.
CoRR
Yi Zhang, Che Liu, Xiancong Ren, Hanchu Ni, Yingji Zhang, Shuai Zhang, Zeyuan Ding, Jiayu Hu, Haozhe Shan, Junbo Qi, Yan Bai, Dengjie Li, Jiachen Luo, Yidong Wang, Yong Dai, Zenglin Xu, Bin Shen, Qifan Wang, Jian Tang, Xiaozhu Ju
2025 — conf
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
ACL (1)
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025 J jnl
CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao, Zenglin Xu
2025 A* conf
Efficient Network Automatic Relevance Determination.
ICML
Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi
2025 J jnl
Efficient Network Automatic Relevance Determination.
CoRR
Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi
2025 J jnl
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance.
Trans. Mach. Learn. Res.
Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
2025 — conf
FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025.
WWW (Companion Volume)
Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu
2025 — conf
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making.
EMNLP (Findings)
Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Danny Dongning Sun, Zhang Chi, Zenglin Xu
2025 J jnl
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making.
CoRR
Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Dongning Sun, Chi Zhang, Zenglin Xu
2025 — conf
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
KDD (2)
Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025 J jnl
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
CoRR
Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025 — conf
From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs.
EMNLP (Findings)
Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Zhucong Li, Zhijian Zhou, Song Wang, Zenglin Xu
2025 J jnl
From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs.
CoRR
Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Zhucong Li, Zhijian Zhou, Song Wang, Zenglin Xu
2025 J jnl
From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning.
Neurocomputing
Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu
2025 A* conf
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping.
AAAI
Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2025 J jnl
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation.
CoRR
Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Qifan Wang, Zenglin Xu
2025 J jnl
Heterogeneous Group-Based Reinforcement Learning for LLM-based Multi-Agent Systems.
CoRR
Guanzhong Chen, Shaoxiong Yang, Chao Li, Wei Liu, Jian Luan, Zenglin Xu
2025 A* conf
IDInit: A Universal and Stable Initialization Method for Neural Network Training.
ICLR
Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025 J jnl
IDInit: A Universal and Stable Initialization Method for Neural Network Training.
CoRR
Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025 J jnl
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting.
CoRR
Beiliang Wu, Peiyuan Liu, Yifan Hu, Luyan Zhang, Ao Hu, Zenglin Xu
2025 J jnl
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions.
CoRR
Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
2025 — conf
Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning.
IJCNLP-AACL (long papers)
Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang
2025 J jnl
LinkOcc: 3D Semantic Occupancy Prediction With Temporal Association.
IEEE Trans. Circuits Syst. Video Technol.
Wenzhe Ouyang, Zenglin Xu, Bin Shen, Jinghua Wang, Yong Xu
2025 A* conf
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.
ACM Multimedia
Ziliang Gan, Dong Zhang, Haohan Li, Yang Wu, Xueyuan Lin, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025 B conf
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.
IJCNN
Zhe Li, Xuanxuan Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2025 A* conf
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.
ICML
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
2025 J jnl
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.
CoRR
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
2025 B conf
Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data.
IJCNN
Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu
2025 A* conf
NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision.
ACM Multimedia
Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Yu Lu, Shilin Zhou, Ziliang Gan, Ziao Wang, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025 J jnl
Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision.
CoRR
Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2025 A conf
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond.
AISTATS
Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang
2025 B conf
PD-Vitamin: Uncertainty-driven Preliminary Dosage of Reinforcement Learning Gradients for Online Fine-Tuning of Decision Transformers.
IJCNN
Shujiong Tang, Zenglin Xu
2025 J jnl
PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask head.
Pattern Recognit.
Wenzhe Ouyang, Zenglin Xu, Qianying Zhu, Bin Shen, Yong Xu
2025 A* conf
Position: LLMs Can be Good Tutors in English Education.
EMNLP
Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025 J jnl
Position: LLMs Can be Good Tutors in Foreign Language Education.
CoRR
Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025 A* conf
Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models.
SIGIR
Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang
2025 J jnl
Renormalization Group Guided Tensor Network Structure Search.
CoRR
Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2025 J jnl
SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes.
CoRR
Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu
2025 — conf
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models.
IJCNLP-AACL (Findings)
Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Jinghua Wang, Qifan Wang, Lizhen Qu, Zenglin Xu
2025 J jnl
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models.
CoRR
Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Lizhen Qu, Zenglin Xu
2025 J jnl
SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection.
CoRR
Jiale Zhang, Jiaxiang Chen, Zhucong Li, Jie Ding, Kui Zhao, Zenglin Xu, Xin Pang, Yinghui Xu
2025 J jnl
StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation.
Neural Networks
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2025 J jnl
Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities.
IEEE Trans. Software Eng.
Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Michael R. Lyu, Zenglin Xu
2024 J jnl
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges.
ACM Trans. Intell. Syst. Technol.
Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King
2024 J jnl
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
CoRR
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
2024 J jnl
A Survey on Scheduling Techniques in Computing and Network Convergence.
IEEE Commun. Surv. Tutorials
Shujiong Tang, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao
2024 A* conf
A Systematic Survey on Federated Semi-supervised Learning.
IJCAI
Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King
2024 J jnl
Adaptive asynchronous federated learning.
Future Gener. Comput. Syst.
Renhao Lu, Weizhe Zhang, Qiong Li, Hui He, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang, Zenglin Xu, Mamoun Alazab
2024 J jnl
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection.
IEEE Trans. Neural Networks Learn. Syst.
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2024 J jnl
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System.
CoRR
Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu
2024 J jnl
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System.
Proc. ACM Hum. Comput. Interact.
Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu
2024 J jnl
Can we only use guideline instead of shot in prompt?
CoRR
Jiaxiang Chen, Song Wang, Zhucong Li, Wayne Xiong, Lizhen Qu, Zenglin Xu, Yuan Qi
2024 J jnl
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
CoRR
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2024 — conf
Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning.
ICONIP (4)
Shujiong Tang, Irwin King, Zenglin Xu
2024 J jnl
Cumulative Distribution Function based General Temporal Point Processes.
CoRR
Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
2024 A* conf
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks.
AAAI
Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi
2024 — conf
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
EMNLP (Findings)
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024 J jnl
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
CoRR
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024 J jnl
Efficient privacy-preserving Gaussian process via secure multi-party computation.
J. Syst. Archit.
Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu
2024 J jnl
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach.
RLJ
Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
2024 J jnl
Enhancing Efficiency in Sparse Models with Sparser Selection.
CoRR
Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu
2024 J jnl
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling.
CoRR
Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2024 J jnl
Enhancing Sindhi Word Segmentation Using Subword Representation Learning and Position-Aware Self-Attention.
IEEE Access
Wazir Ali, Jay Kumar, Saifullah Tumani, Redhwan Nour, Adeeb Noor, Zenglin Xu
2024 J jnl
Euclidean Distance is Not Your Swiss Army Knife.
IEEE Trans. Knowl. Data Eng.
Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
2024 — conf
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web.
WWW (Companion Volume)
Irwin King, Guodong Long, Zenglin Xu, Han Yu
2024 J jnl
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data.
CoRR
Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King
2024 — conf
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.
WWW (Companion Volume)
Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
2024 — conf
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.
NAACL-HLT (Findings)
Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King
2024 J jnl
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.
CoRR
Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu
2024 B conf
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study.
IJCNN
Hongye Wang, Ruonan Li, Zenglin Xu, Jinlong Li, Irwin King, Jie Liu
2024 J jnl
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping.
CoRR
Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2024 J jnl
Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels.
IEEE Signal Process. Lett.
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu
2024 J jnl
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives.
CoRR
Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen
2024 J jnl
Label-Aware Distribution Calibration for Long-Tailed Classification.
IEEE Trans. Neural Networks Learn. Syst.
Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu
2024 J jnl
M
CoRR
Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu
2024 J jnl
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.
CoRR
Ziliang Gan, Yu Lu, Dong Zhang, Haohan Li, Che Liu, Jian Liu, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai
2024 J jnl
MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell.
Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
2024 J jnl
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck.
CoRR
Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu
2024 A* conf
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy.
IJCAI
Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang
2024 J jnl
MixingMask: A contour-aware approach for joint object detection and instance segmentation.
Pattern Recognit.
Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu
2024 J jnl
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process.
Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li
2024 A* conf
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
EMNLP
Taowen 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
2024 A* conf
OctOcc: High-Resolution 3D Occupancy Prediction with Octree.
AAAI
Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu
2024 — conf
On Diversified Preferences of Large Language Model Alignment.
EMNLP (Findings)
Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
2024 A* conf
On the Necessity of Collaboration for Online Model Selection with Decentralized Data.
NeurIPS
Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King
2024 J jnl
On the Necessity of Collaboration in Online Model Selection with Decentralized Data.
CoRR
Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King
2024 J jnl
Online Optimization for Learning to Communicate over Time-Correlated Channels.
CoRR
Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu
2024 J jnl
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.
CoRR
Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
2024 J jnl
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management.
Int. J. Medical Informatics
Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng
2024 A* conf
Preparing Lessons for Progressive Training on Language Models.
AAAI
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024 J jnl
Preparing Lessons for Progressive Training on Language Models.
CoRR
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024 — conf
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
LREC/COLING
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
2024 — conf
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.
ACL (Findings)
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024 J jnl
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024 A* conf
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.
ICML
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
2024 J jnl
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.
CoRR
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
2024 J jnl
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.
IEEE Trans. Knowl. Data Eng.
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
2024 A conf
Tensorized Hypergraph Neural Networks.
SDM
Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2024 J jnl
Time Series Analysis for Education: Methods, Applications, and Future Directions.
CoRR
Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen
2024 J jnl
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting.
CoRR
Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan
2024 J jnl
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site.
ACM Trans. Softw. Eng. Methodol.
Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu
2024 J jnl
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.
IEEE Trans. Veh. Technol.
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
2024 J jnl
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization.
CoRR
Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu
2024 A* conf
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack.
CCS
Guanzhong Chen, ZhengHan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu
2024 J jnl
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack.
CoRR
Guanzhong Chen, ZhengHan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu
2024 — conf
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection.
ACL (Findings)
Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu
2023 — conf
1st Workshop on Federated Learning Technologies.
WWW (Companion Volume)
Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King
2023 — conf
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.
WWW (Companion Volume)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023 J jnl
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy.
CoRR
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023 J jnl
A Survey on Deep Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng.
Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu
2023 A* conf
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
EMNLP
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023 J jnl
BadCS: A Backdoor Attack Framework for Code search.
CoRR
Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu
2023 J jnl
Boosting adversarial robustness via self-paced adversarial training.
Neural Networks
Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu
2023 — conf
Contrastive Kernel Subspace Clustering.
ICONIP (5)
Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu
2023 J jnl
Edge enhancement improves adversarial robustness in image classification.
Neurocomputing
Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu
2023 J jnl
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach.
CoRR
Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
2023 J jnl
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.
CoRR
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023 — conf
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.
ACL (1)
Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu
2023 J jnl
FedLab: A Flexible Federated Learning Framework.
J. Mach. Learn. Res.
Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu
2023 J jnl
FedNoisy: Federated Noisy Label Learning Benchmark.
CoRR
Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu
2023 — conf
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
ACL (Findings)
Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu
2023 J jnl
Federated Generalization via Information-Theoretic Distribution Diversification.
CoRR
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
2023 A* conf
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
ICDM
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023 J jnl
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
CoRR
Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023 B conf
Flexible Contribution Estimation Methods for Horizontal Federated Learning.
IJCNN
Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
2023 — conf
Generalized Category Discovery with Clustering Assignment Consistency.
ICONIP (5)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
2023 J jnl
Generalized Category Discovery with Clustering Assignment Consistency.
CoRR
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
2023 A conf
Generative Oversampling for Imbalanced Data via Majority-Guided VAE.
AISTATS
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023 J jnl
Generative Oversampling for Imbalanced Data via Majority-Guided VAE.
CoRR
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023 J jnl
Graph-Based Semi-Supervised Learning: A Comprehensive Review.
IEEE Trans. Neural Networks Learn. Syst.
Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King
2023 J jnl
Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels.
CoRR
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu
2023 J jnl
Latent Representation Guided Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2023 J jnl
Learning to generate complex question with intent prediction from long passage.
Appl. Intell.
Youcheng Pan, Baotian Hu, Shiyue Wang, Xiaolong Wang, Qingcai Chen, Zenglin Xu, Min Zhang
2023 J jnl
Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks.
CoRR
Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song
2023 A* conf
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering.
ICCV
Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu
2023 J jnl
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.
CoRR
Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2023 — conf
MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
ACL (1)
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023 — conf
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
ACL (Findings)
Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023 Misc conf
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.
ICASSP
Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
2023 J jnl
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity.
IEEE Trans. Knowl. Data Eng.
Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2023 J jnl
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition.
CoRR
Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
2023 J jnl
On Diversified Preferences of Large Language Model Alignment.
CoRR
Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
2023 A* conf
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.
EMNLP
Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu
2023 J jnl
Personalized Federated Learning via Amortized Bayesian Meta-Learning.
CoRR
Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu
2023 J jnl
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023 A conf
Practical privacy-preserving Gaussian process regression via secret sharing.
UAI
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023 A* conf
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily.
NeurIPS
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
2023 A* conf
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.
IJCAI
Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang
2023 — conf
Quantized SGD in Federated Learning: Communication, Optimization and Generalization.
ICONIP (9)
Shiyu Liu, Linsen Wei, Shaogao Lv, Zenglin Xu
2023 J jnl
RegNet: Self-Regulated Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
2023 A* conf
Reusing Pretrained Models by Multi-linear Operators for Efficient Training.
NeurIPS
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
2023 J jnl
Reusing Pretrained Models by Multi-linear Operators for Efficient Training.
CoRR
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
2023 J jnl
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.
CoRR
Zhe Li, Shiyi Qi, Yiduo Li, Zenglin Xu
2023 A* conf
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting.
IJCAI
Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu
2023 A* conf
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.
AAAI
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He
2023 J jnl
Single image denoising with a feature-enhanced network.
Neural Networks
Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu
2023 J jnl
Stein Variational Gradient Descent with Multiple Kernels.
Cogn. Comput.
Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu
2023 J jnl
Stochastic Clustered Federated Learning.
CoRR
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2023 J jnl
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.
CoRR
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023 J jnl
Tensor Networks Meet Neural Networks: A Survey.
CoRR
Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu
2023 J jnl
Tensorized Hypergraph Neural Networks.
CoRR
Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023 J jnl
Ti-MAE: Self-Supervised Masked Time Series Autoencoders.
CoRR
Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu
2023 J jnl
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks.
CoRR
Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
2023 — conf
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
EACL (Findings)
Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu
2022 J jnl
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities.
CoRR
Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu
2022 A* conf
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks.
ICML
Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
2022 J jnl
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks.
CoRR
Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
2022 B conf
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise.
IJCNN
Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu
2022 J jnl
AFINet: Attentive Feature Integration Networks for image classification.
Neural Networks
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu
2022 J jnl
Aggregating Gradients in Encoded Domain for Federated Learning.
CoRR
Dun Zeng, Shiyu Liu, Zenglin Xu
2022 A* conf
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid.
NeurIPS
Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu
2022 J jnl
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid.
CoRR
Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu
2022 A* conf
Channel Importance Matters in Few-Shot Image Classification.
ICML
Xu Luo, Jing Xu, Zenglin Xu
2022 J jnl
Channel Importance Matters in Few-Shot Image Classification.
CoRR
Xu Luo, Jing Xu, Zenglin Xu
2022 A* conf
Contrastive Multi-view Hyperbolic Hierarchical Clustering.
IJCAI
Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu
2022 J jnl
Contrastive Multi-view Hyperbolic Hierarchical Clustering.
CoRR
Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu
2022 J jnl
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT.
CoRR
Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato
2022 J jnl
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT.
IEEE Internet Things J.
Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato
2022 J jnl
ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers.
IEEE Trans. Serv. Comput.
Zonghang Li, Huaman Zhou, Tianyao Zhou, Hongfang Yu, Zenglin Xu, Gang Sun
2022 J jnl
Efficient federated multi-view learning.
Pattern Recognit.
Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
2022 A* conf
Federated Model Decomposition with Private Vocabulary for Text Classification.
EMNLP
Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu
2022 A* conf
Field-aware Variational Autoencoders for Billion-scale User Representation Learning.
ICDE
Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong
2022 J jnl
Graph Fusion Network for Text Classification.
Knowl. Based Syst.
Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang
2022 — conf
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.
DASFAA (2)
Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu
2022 J jnl
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.
CoRR
Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu
2022 J jnl
Heuristic rank selection with progressively searching tensor ring network.
Complex Intell. Syst.
Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
2022 J jnl
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting.
IEEE Trans. Neural Networks Learn. Syst.
Shaogao Lv, Linsen Wei, Qian Zhang, Bin Liu, Zenglin Xu
2022 A* conf
Learning Smooth Representation for Multi-view Subspace Clustering.
ACM Multimedia
Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022 A* conf
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.
EMNLP
Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma
2022 — conf
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering.
EMNLP (Findings)
Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu
2022 J jnl
MarkBERT: Marking Word Boundaries Improves Chinese BERT.
CoRR
Linyang Li, Yong Dai, Duyu Tang, Xipeng Qiu, Zenglin Xu, Shuming Shi
2022 J jnl
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022 A* conf
Multi-View Clustering on Topological Manifold.
AAAI
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2022 A* conf
Multi-view Subspace Clustering on Topological Manifold.
NeurIPS
Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
2022 J jnl
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion.
CoRR
Zi Gong, Yinpeng Guo, Pingyi Zhou, Cuiyun Gao, Yasheng Wang, Zenglin Xu
2022 J jnl
Multiple partitions alignment via spectral rotation.
Mach. Learn.
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022 J jnl
Non-uniform Nyström approximation for sparse kernel regression: Theoretical analysis and experimental evaluation.
Neurocomputing
Qian Zhang, Wei Shi, Steven Hoi, Zenglin Xu
2022 J jnl
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.
CoRR
Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He, Qifan Wang, Chuanyi Liu
2022 J jnl
Re-thinking model robustness from stability: a new insight to defend adversarial examples.
Mach. Learn.
Shufei Zhang, Kaizhu Huang, Zenglin Xu
2022 J jnl
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization.
CoRR
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye
2022 — conf
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.
EMNLP (Findings)
Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
2022 Misc conf
Semantically Proportional Patchmix for Few-Shot Learning.
ICASSP
Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
2022 J jnl
Semantically Proportional Patchmix for Few-Shot Learning.
CoRR
Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
2022 A conf
Source Code Summarization with Structural Relative Position Guided Transformer.
SANER
Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu
2022 J jnl
Source Code Summarization with Structural Relative Position Guided Transformer.
CoRR
Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu
2022 J jnl
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization.
Knowl. Based Syst.
Qian Zhang, Zhao Kang, Zenglin Xu, Shudong Huang, Hongguang Fu
2022 J jnl
TedNet: A Pytorch toolkit for tensor decomposition networks.
Neurocomputing
Yu Pan, Maolin Wang, Zenglin Xu
2022 J jnl
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
CoRR
Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu
2022 J jnl
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.
CoRR
Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu
2021 J jnl
A Survey on Deep Semi-supervised Learning.
CoRR
Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu
2021 J jnl
AFINet: Attentive Feature Integration Networks for Image Classification.
CoRR
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
2021 B conf
Angular Triplet Loss-based Camera Network for ReID.
IJCNN
Yitian Li, Ruini Xue, Mengmeng Zhu, Jing Xu, Zenglin Xu
2021 A conf
Boosting Few-Shot Classification with View-Learnable Contrastive Learning.
ICME
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
2021 J jnl
Boosting Few-Shot Classification with View-Learnable Contrastive Learning.
CoRR
Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
2021 A* conf
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.
NeurIPS
Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu
2021 J jnl
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.
CoRR
Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu
2021 J jnl
Byzantine Resistant Secure Blockchained Federated Learning at the Edge.
IEEE Netw.
Zonghang Li, Hongfang Yu, Tianyao Zhou, Long Luo, Mochan Fan, Zenglin Xu, Gang Sun
2021 A* conf
CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection.
ACM Multimedia
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2021 J jnl
CRaDLe: Deep code retrieval based on semantic Dependency Learning.
Neural Networks
Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu
2021 J jnl
Contrastive Disentanglement in Generative Adversarial Networks.
CoRR
Lili Pan, Peijun Tang, Zhiyong Chen, Zenglin Xu
2021 J jnl
CoreGen: Contextualized Code Representation Learning for Commit Message Generation.
Neurocomputing
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu
2021 — conf
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi.
WASSA@EACL
Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani, Zenglin Xu
2021 J jnl
Deep embedded multi-view clustering with collaborative training.
Inf. Sci.
Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu
2021 B conf
Discrete Auto-regressive Variational Attention Models for Text Modeling.
IJCNN
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
2021 J jnl
Discrete Auto-regressive Variational Attention Models for Text Modeling.
CoRR
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
2021 J jnl
Domain adaptation with feature and label adversarial networks.
Neurocomputing
Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu
2021 J jnl
Exploring Category-correlated Feature for Few-shot Image Classification.
CoRR
Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu
2021 J jnl
FedLab: A Flexible Federated Learning Framework.
CoRR
Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu
2021 J jnl
Gradient estimation of information measures in deep learning.
Knowl. Based Syst.
Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
2021 J jnl
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs.
CoRR
Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu
2021 J jnl
Graph-based Semi-supervised Learning: A Comprehensive Review.
CoRR
Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King
2021 J jnl
Kernel Selection for Stein Variational Gradient Descent.
CoRR
Qingzhong Ai, Shiyu Liu, Zenglin Xu
2021 J jnl
Label-Aware Distribution Calibration for Long-tailed Classification.
CoRR
Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu
2021 J jnl
Machine learning based early mortality prediction in the emergency department.
Int. J. Medical Informatics
Cong Li, Zhuo Zhang, Yazhou Ren, Hu Nie, Yuqing Lei, Hang Qiu, Zenglin Xu, Xiaorong Pu
2021 J jnl
Multi-view subspace clustering via partition fusion.
Inf. Sci.
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
2021 J jnl
MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance.
CoRR
Jing Xu, Tszhang Guo, Zenglin Xu, Kun Bai
2021 J jnl
MultiFace: A generic training mechanism for boosting face recognition performance.
Neurocomputing
Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai
2021 J jnl
Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems.
CoRR
Ping Guo, Kaizhu Huang, Zenglin Xu
2021 J jnl
Pseudo-Supervised Deep Subspace Clustering.
IEEE Trans. Image Process.
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
2021 J jnl
Pseudo-supervised Deep Subspace Clustering.
CoRR
Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu
2021 A* conf
Rectifying the Shortcut Learning of Background for Few-Shot Learning.
NeurIPS
Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
2021 J jnl
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition.
CoRR
Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
2021 J jnl
RegNet: Self-Regulated Network for Image Classification.
CoRR
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
2021 J jnl
Robust deep k-means: An effective and simple method for data clustering.
Pattern Recognit.
Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu
2021 — conf
Robustness of Combined sEMG and Ultrasound Modalities Against Muscle Fatigue in Force Estimation.
ICIRA (3)
Jia Zeng, Yu Zhou, Yicheng Yang, Zenglin Xu, Hongwei Zhang, Honghai Liu
2021 J jnl
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness.
CoRR
Lili Pan, Mingming Meng, Yazhou Ren, Yali Zheng, Zenglin Xu
2021 J jnl
Structured graph learning for clustering and semi-supervised classification.
Pattern Recognit.
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2021 J jnl
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks.
CoRR
Yu Pan, Maolin Wang, Zenglin Xu
2021 J jnl
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge.
Cogn. Comput.
Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu
2021 J jnl
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge.
CoRR
Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu
2020 J jnl
A Subword Guided Neural Word Segmentation Model for Sindhi.
CoRR
Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren
2020 J jnl
A combination model based on transfer learning for waste classification.
Concurr. Comput. Pract. Exp.
Guang-Li Huang, Jing He, Zenglin Xu, Guangyan Huang
2020 A* conf
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis.
AAAI
Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu
2020 J jnl
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis.
CoRR
Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu
2020 J jnl
Auto-weighted multi-view clustering via deep matrix decomposition.
Pattern Recognit.
Shudong Huang, Zhao Kang, Zenglin Xu
2020 J jnl
Auto-weighted multi-view co-clustering with bipartite graphs.
Inf. Sci.
Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
2020 J jnl
Block-term Tensor Neural Networks.
CoRR
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
2020 J jnl
Block-term tensor neural networks.
Neural Networks
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
2020 J jnl
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning.
CoRR
Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu
2020 — conf
Causal Inference for Mixed-Type Data in Additive Noise Models.
ICONIP (2)
Xin Liu, Zenglin Xu, Ping Guo
2020 J jnl
Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement.
IEEE Access
Tian Lan, Yilan Lyu, Wenzheng Ye, Guoqiang Hui, Zenglin Xu, Qiao Liu
2020 — conf
Concatenated Tensor Networks for Deep Multi-Task Learning.
ICONIP (5)
Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu
2020 J jnl
Contextualized Code Representation Learning for Commit Message Generation.
CoRR
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu
2020 J jnl
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.
Neural Networks
Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu
2020 J jnl
Deep Embedded Multi-view Clustering with Collaborative Training.
CoRR
Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu
2020 — conf
Deep K-Means: A Simple and Effective Method for Data Clustering.
NCAA
Shudong Huang, Zhao Kang, Zenglin Xu
2020 J jnl
Deep density-based image clustering.
Knowl. Based Syst.
Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu
2020 J jnl
Discrete Variational Attention Models for Language Generation.
CoRR
Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King
2020 J jnl
Heuristic Rank Selection with Progressively Searching Tensor Ring Network.
CoRR
Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
2020 A* conf
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation.
SIGIR
Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu
2020 J jnl
Knowledge Fusion via Joint Tensor and Matrix Factorization.
Cogn. Comput.
Zengguang Hao, Yafang Wang, Zining Liu, Gerard de Melo, Zenglin Xu
2020 A* conf
Large-Scale Multi-View Subspace Clustering in Linear Time.
AAAI
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
2020 J jnl
Latent Dirichlet allocation based generative adversarial networks.
Neural Networks
Lili Pan, Shen Cheng, Jian Liu, Peijun Tang, Bowen Wang, Yazhou Ren, Zenglin Xu
2020 B conf
Learning to Search Efficient DenseNet with Layer-wise Pruning.
IJCNN
Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu
2020 A* conf
Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension.
SIGIR
Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, Zenglin Xu
2020 J jnl
Multi-document semantic relation extraction for news analytics.
World Wide Web
Yongpan Sheng, Zenglin Xu, Yafang Wang, Gerard de Melo
2020 J jnl
Multi-graph fusion for multi-view spectral clustering.
Knowl. Based Syst.
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
2020 A* conf
Mutual Information Gradient Estimation for Representation Learning.
ICLR
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020 J jnl
Mutual Information Gradient Estimation for Representation Learning.
CoRR
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020 J jnl
Partition level multiview subspace clustering.
Neural Networks
Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu
2020 A* conf
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process.
SIGIR
Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, Zenglin Xu
2020 J jnl
ReadNet: Towards Accurate ReID with Limited and Noisy Samples.
CoRR
Yitian Li, Ruini Xue, Mengmeng Zhu, Qing Xu, Zenglin Xu
2020 J jnl
Regularized nonnegative matrix factorization with adaptive local structure learning.
Neurocomputing
Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren
2020 J jnl
Relation-Guided Representation Learning.
CoRR
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
2020 J jnl
Relation-Guided Representation Learning.
Neural Networks
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
2020 J jnl
Robust Graph Learning From Noisy Data.
IEEE Trans. Cybern.
Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu
2020 — conf
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples.
ECCV (30)
Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu
2020 J jnl
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples.
CoRR
Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu
2020 J jnl
Self-paced and auto-weighted multi-view clustering.
Neurocomputing
Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu
2020 B conf
SiNER: A Large Dataset for Sindhi Named Entity Recognition.
LREC
Wazir Ali, Junyu Lu, Zenglin Xu
2020 J jnl
Structure learning with similarity preserving.
Neural Networks
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu
2020 J jnl
Structured Graph Learning for Clustering and Semi-supervised Classification.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020 J jnl
Structured pruning of recurrent neural networks through neuron selection.
Neural Networks
Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu
2020 J jnl
Two birds with one stone: Transforming and generating facial images with iterative GAN.
Neurocomputing
Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu
2019 J jnl
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings.
CoRR
Wazir Ali, Jay Kumar, Junyu Lu, Zenglin Xu
2019 — conf
A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation.
ICDM Workshops
Yong Dai, Jian Zhang, Shuai Yuan, Zenglin Xu
2019 A* conf
Additive Adversarial Learning for Unbiased Authentication.
CVPR
Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019 J jnl
Additive Adversarial Learning for Unbiased Authentication.
CoRR
Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019 B conf
Adversarial Noise Layer: Regularize Neural Network by Adding Noise.
ICIP
Zhonghui You, Jinmian Ye, Kunming Li, Zenglin Xu, Ping Wang
2019 J jnl
Auto-weighted multi-view clustering via kernelized graph learning.
Pattern Recognit.
Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu
2019 J jnl
Clustering with Similarity Preserving.
CoRR
Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
2019 J jnl
Clustering with similarity preserving.
Neurocomputing
Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu
2019 — conf
Coherence and Salience-Based Multi-Document Relationship Mining.
APWeb/WAIM (1)
Yongpan Sheng, Zenglin Xu
2019 A* conf
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.
AAAI
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
2019 — conf
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection.
ACL (1)
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu
2019 — conf
Deep Minimax Probability Machine.
ICDM Workshops
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2019 J jnl
Deep Minimax Probability Machine.
CoRR
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2019 J jnl
Large-scale Multi-view Subspace Clustering in Linear Time.
CoRR
Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
2019 J jnl
Low-rank Kernel Learning for Graph-based Clustering.
CoRR
Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
2019 J jnl
Low-rank kernel learning for graph-based clustering.
Knowl. Based Syst.
Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu
2019 A conf
Machine Reading Comprehension: Matching and Orders.
CIKM
Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu
2019 J jnl
Multi-graph Fusion for Multi-view Spectral Clustering.
CoRR
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
2019 J jnl
Multi-view Subspace Clustering via Partition Fusion.
CoRR
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
2019 A* conf
Multiple Partitions Aligned Clustering.
IJCAI
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019 J jnl
Multiple Partitions Aligned Clustering.
CoRR
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019 J jnl
Parallel boosted clustering.
Neurocomputing
Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu
2019 J jnl
Self-paced and soft-weighted nonnegative matrix factorization for data representation.
Knowl. Based Syst.
Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu
2019 J jnl
Self-paced multi-task clustering.
Neurocomputing
Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu
2019 J jnl
Semi-supervised deep embedded clustering.
Neurocomputing
Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu
2019 A* conf
Similarity Learning via Kernel Preserving Embedding.
AAAI
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
2019 J jnl
Similarity Learning via Kernel Preserving Embedding.
CoRR
Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu
2019 J jnl
Structure Learning with Similarity Preserving.
CoRR
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu
2019 J jnl
Structured Pruning of Recurrent Neural Networks through Neuron Selection.
CoRR
Liangjiang Wen, Xueyang Zhang, Haoli Bai, Zenglin Xu
2019 B conf
Tensor Ring Restricted Boltzmann Machines.
IJCNN
Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu
2019 J jnl
Variational Random Function Model for Network Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville
2018 J jnl
Adaptive local structure learning for document co-clustering.
Knowl. Based Syst.
Shudong Huang, Zenglin Xu, Jiancheng Lv
2018 — conf
Association Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis.
ICONIP (7)
Shangchen Zhou, Shuai Yuan, ZhiZhuo Zhang, Zenglin Xu
2018 J jnl
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.
CoRR
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
2018 J jnl
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification.
CoRR
Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu
2018 J jnl
Deep Density-based Image Clustering.
CoRR
Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu
2018 J jnl
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.
Cogn. Comput.
Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu
2018 J jnl
Latent Dirichlet Allocation in Generative Adversarial Networks.
CoRR
Lili Pan, Shen Cheng, Jian Liu, Yazhou Ren, Zenglin Xu
2018 A* conf
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition.
CVPR
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
2018 A* conf
Learning With Incomplete Labels.
AAAI
Yingming Li, Zenglin Xu, Zhongfei Zhang
2018 J jnl
Manifold regularized matrix completion for multi-label learning with ADMM.
Neural Networks
Bin Liu, Yingming Li, Zenglin Xu
2018 — conf
Mark-Guided Segmentation of Ultrasonic Thyroid Nodules Using Deep Learning.
ISICDM
Shujun Zhou, Hong Wu, Jie Gong, Ting Le, Hao Wu, Qin Chen, Zenglin Xu
2018 A conf
Neural Relational Topic Models for Scientific Article Analysis.
CIKM
Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu
2018 J jnl
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition.
Cogn. Comput.
Bin Liu, Lirong He, Yingming Li, Shandian Zhe, Zenglin Xu
2018 J jnl
Robust Graph Learning from Noisy Data.
CoRR
Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu
2018 J jnl
Robust graph regularized nonnegative matrix factorization for clustering.
Data Min. Knowl. Discov.
Shudong Huang, Hongjun Wang, Tao Li, Tianrui Li, Zenglin Xu
2018 J jnl
Robust multi-view data clustering with multi-view capped-norm K-means.
Neurocomputing
Shudong Huang, Yazhou Ren, Zenglin Xu
2018 J jnl
Self-Paced Multi-Task Clustering.
CoRR
Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu
2018 — conf
Self-Paced Multi-Task Multi-View Capped-norm Clustering.
ICONIP (4)
Yazhou Ren, Xin Yan, Zechuan Hu, Zenglin Xu
2018 A* conf
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
IJCAI
Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018 J jnl
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
CoRR
Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018 J jnl
Self-weighted multi-view clustering with soft capped norm.
Knowl. Based Syst.
Shudong Huang, Zhao Kang, Zenglin Xu
2018 — conf
Semi-supervised DenPeak Clustering with Pairwise Constraints.
PRICAI (1)
Yazhou Ren, Xiaohui Hu, Ke Shi, Guoxian Yu, Dezhong Yao, Zenglin Xu
2018 A* conf
Structured Inference for Recurrent Hidden Semi-markov Model.
IJCAI
Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
2018 J jnl
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks.
CoRR
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018 B conf
Superneurons: dynamic GPU memory management for training deep neural networks.
PPoPP
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018 J jnl
TensorD: A tensor decomposition library in TensorFlow.
Neurocomputing
Liyang Hao, Siqi Liang, Jinmian Ye, Zenglin Xu
2018 A* conf
Unified Spectral Clustering With Optimal Graph.
AAAI
Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2018 — conf
Visualizing Multi-document Semantics via Open Domain Information Extraction.
ECML/PKDD (3)
Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, Gerard de Melo
2017 J jnl
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition.
CoRR
Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
2017 B conf
Balanced self-paced learning with feature corruption.
IJCNN
Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao
2017 A* conf
Efficient Communications in Training Large Scale Neural Networks.
ACM Multimedia (Thematic Workshops)
Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu
2017 J jnl
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition.
CoRR
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
2017 B conf
Learning from semantically dependent multi-tasks.
IJCNN
Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe
2017 A* conf
Learning with Feature Network and Label Network Simultaneously.
AAAI
Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
2017 B conf
Link prediction by exploiting network formation games in exchangeable graphs.
IJCNN
Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu
2017 B conf
Nonnegative matrix factorization with adaptive neighbors.
IJCNN
Shudong Huang, Zenglin Xu, Fei Wang
2017 — conf
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease.
ICONIP (1)
Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu
2017 A* conf
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning.
IJCAI
Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu
2017 B conf
Simple and efficient parallelization for probabilistic temporal tensor factorization.
IJCNN
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
2017 J jnl
Stochastic Sequential Neural Networks with Structured Inference.
CoRR
Hao Liu, Haoli Bai, Lirong He, Zenglin Xu
2017 J jnl
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.
CoRR
Dan Ma, Bin Liu, Zhao Kang, Jianke Zhu, Zenglin Xu
2017 J jnl
Unified Spectral Clustering with Optimal Graph.
CoRR
Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2016 J jnl
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning.
J. Artif. Intell. Res.
Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu
2016 A conf
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing.
ICS
Linnan Wang, Wei Wu, Zenglin Xu, Jianxiong Xiao, Yi Yang
2016 — conf
Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval.
MMM (2)
Hong Wu, Xing Heng, Zenglin Xu
2016 A* conf
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays.
AAAI
Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari
2016 — conf
Distributed Flexible Nonlinear Tensor Factorization.
NIPS
Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani
2016 J jnl
Distributed Flexible Nonlinear Tensor Factorization.
CoRR
Shandian Zhe, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Jian Yang, Youngja Park, Yuan Qi
2016 C conf
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.
ACML
Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li
2016 A* conf
Learning with Marginalized Corrupted Features and Labels Together.
AAAI
Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
2016 J jnl
Manifold regularized matrix completion for multilabel classification.
Pattern Recognit. Lett.
Bin Liu, Zenglin Xu, Shuang Wu, Fei Wang
2016 A* conf
Multi-View Learning with Limited and Noisy Tagging.
IJCAI
Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
2016 J jnl
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization.
CoRR
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
2015 J jnl
Bayesian Nonparametric Models for Multiway Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2015 J jnl
Budget constrained non-monotonic feature selection.
Neural Networks
Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King
2015 — conf
Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users.
ESORICS (2)
Youngja Park, Ian M. Molloy, Suresh N. Chari, Zenglin Xu, Christopher S. Gates, Ninghui Li
2015 A* conf
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.
AAAI
Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu
2015 A conf
Scalable Nonparametric Multiway Data Analysis.
AISTATS
Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park
2015 A* conf
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.
AAAI
Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2014 — conf
Detecting Insider Information Theft Using Features from File Access Logs.
ESORICS (2)
Christopher S. Gates, Ninghui Li, Zenglin Xu, Suresh N. Chari, Ian M. Molloy, Youngja Park
2014 Misc conf
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.
Pacific Symposium on Biocomputing
Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2014 B conf
Kernel tapering: A simple and effective approach to sparse kernels for image processing.
ICIP
Bin Shen, Zenglin Xu, Jan P. Allebach
2014 — conf
Non-monotonic Feature Selection for Regression.
ICONIP (2)
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2013 — conf
Exact and Stable Recovery of Pairwise Interaction Tensors.
NIPS
Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu
2013 J jnl
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
CoRR
Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2012 A* conf
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.
ICML
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2012 J jnl
Robust Metric Learning by Smooth Optimization
CoRR
Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu
2012 J jnl
Sparse matrix-variate Gaussian process blockmodels for network modeling
CoRR
Feng Yan, Zenglin Xu, Yuan (Alan) Qi
2011 J jnl
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks
Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu
2011 J jnl
InfTucker: t-Process based Infinite Tensor Decomposition
CoRR
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2011 A* conf
Sparse Matrix-Variate t Process Blockmodels.
AAAI
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2011 A conf
Sparse matrix-variate Gaussian process blockmodels for network modeling.
UAI
Feng Yan, Zenglin Xu, Yuan (Alan) Qi
2010 J jnl
Discriminative semi-supervised feature selection via manifold regularization.
IEEE Trans. Neural Networks
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
2010 A* conf
Online Learning for Group Lasso.
ICML
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2010 A conf
Robust Metric Learning by Smooth Optimization.
UAI
Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu
2010 A* conf
Simple and Efficient Multiple Kernel Learning by Group Lasso.
ICML
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu
2010 A* conf
Smooth Optimization for Effective Multiple Kernel Learning.
AAAI
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King
2009 J jnl
A novel kernel-based maximum a posteriori classification method.
Neural Networks
Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu
2009 — conf
Adaptive Regularization for Transductive Support Vector Machine.
NIPS
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang
2009 A* conf
Discriminative Semi-Supervised Feature Selection via Manifold Regularization.
IJCAI
Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King
2009 — conf
Heavy-Tailed Symmetric Stochastic Neighbor Embedding.
NIPS
Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja
2009 A* conf
Non-monotonic feature selection.
ICML
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King
2009 B conf
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
IJCNN
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell
2008 — conf
An Effective Approach to 3D Deformable Surface Tracking.
ECCV (3)
Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu
2008 — conf
An Extended Level Method for Efficient Multiple Kernel Learning.
NIPS
Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu
2008 A* conf
Semi-supervised Learning from General Unlabeled Data.
ICDM
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu
2008 A conf
Semi-supervised text categorization by active search.
CIKM
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King
2007 — conf
Efficient Convex Relaxation for Transductive Support Vector Machine.
NIPS
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu
2007 J jnl
Feature Selection Based on Minimum Error minimax Probability Machine.
Int. J. Pattern Recognit. Artif. Intell.
Zenglin Xu, Irwin King, Michael R. Lyu
2007 — conf
Kernel Maximum a Posteriori Classification with Error Bound Analysis.
ICONIP (1)
Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu
2007 B conf
Maximum Margin based Semi-supervised Spectral Kernel Learning.
IJCNN
Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King
2007 A* conf
Web page classification with heterogeneous data fusion.
WWW
Zenglin Xu, Irwin King, Michael R. Lyu
2004 C conf
Feature Selection with Particle Swarms.
CIS
Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He