ML Anthology

Zhuang, Fuzhen

42 publications

ECML-PKDD 2025 Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part Yuxin Ying, Fuzhen Zhuang, Ziyi Liu, Dingyuan Zhu, Daixin Wang, Xiaobo Qin
IJCAI 2025 FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang
AAAI 2025 Mixed-Curvature Multi-Modal Knowledge Graph Completion Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang
AAAI 2025 One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang
AAAI 2025 Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang
NeurIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
AAAI 2024 Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong
NeurIPS 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
ECML-PKDD 2022 Customized Conversational Recommender Systems Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
AAAI 2022 Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
IJCAI 2022 Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
IJCAI 2021 AMA-GCN: Adaptive Multi-Layer Aggregation Graph Convolutional Network for Disease Prediction Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
AAAI 2021 Community-Aware Multi-Task Transportation Demand Prediction Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
NeurIPS 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
AAAI 2021 LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-Label Text Classification Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang
AAAI 2021 Modeling Heterogeneous Relations Across Multiple Modes for Potential Crowd Flow Prediction Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
AAAI 2021 Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
ECML-PKDD 2021 Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song
ACML 2020 CCA-Flow: Deep Multi-View Subspace Learning with Inverse Autoregressive Flow Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
IJCAI 2020 Collaborative Self-Attention Network for Session-Based Recommendation Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
MLJ 2020 Online Bayesian Max-Margin Subspace Learning for Multi-View Classification and Regression Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
AAAI 2020 Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
AAAI 2019 Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
IJCAI 2019 Graph Contextualized Self-Attention Network for Session-Based Recommendation Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou
AAAI 2019 Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
IJCAI 2019 Neural Network Based Continuous Conditional Random Field for Fine-Grained Crime Prediction Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo
ACML 2019 SDC-Causing Error Detection Based on Lightweight Vulnerability Prediction Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang
MLJ 2019 Supervised Representation Learning for Multi-Label Classification Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He
AAAI 2019 Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
IJCAI 2018 Sequential Recommender System Based on Hierarchical Attention Networks Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
IJCAI 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
ECML-PKDD 2016 Aspect Mining with Rating Bias Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu
ECML-PKDD 2016 Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
IJCAI 2016 Online Bayesian Max-Margin Subspace Multi-View Learning Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
AAAI 2015 Bayesian Maximum Margin Principal Component Analysis Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
IJCAI 2015 Supervised Representation Learning: Transfer Learning with Deep Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
ECML-PKDD 2014 Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
IJCAI 2013 Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi
ECML-PKDD 2013 Embedding with Autoencoder Regularization Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
ECML-PKDD 2013 Shared Structure Learning for Multiple Tasks with Multiple Views Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi
IJCAI 2011 Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen