Chengqi Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 179

Top Venues

CoRR

IJCAI

IEEE Trans. Knowl. Data Eng.

ICDM

Publications

Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
Transductive Reward Inference on Graph. CoRR (2024)
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
On-Device Recommender Systems: A Comprehensive Survey. CoRR (2024)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? CoRR (2023)
Yingqing Su, Qi Feng, Wei Liu, Meng Zhu, Honghua Xia, Xiaohong Ma, Wenju Cheng, Jutao Zhang, Chengqi Zhang, Linshan Yang, Xinwei Yin
Improved Understanding of Trade-Offs and Synergies in Ecosystem Services via Fine Land-Use Classification and Multi-Scale Analysis in the Arid Region of Northwest China. Remote. Sens. 15 (20) (2023)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR (2023)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI (2023)
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
Causal Reinforcement Learning: A Survey. CoRR (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR (2023)
Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? ICML (2023)
Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong
Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. 282 (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. IJCAI (2023)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Structured Federated Learning through Clustered Additive Modeling. NeurIPS (2023)
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) (2023)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE (2023)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. PAKDD (4) (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. CoRR (2023)
Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM (2023)
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR (2023)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics 56 (2023)
Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. CoRR (2022)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI (2022)
Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. IJCNN (2022)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR (2022)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang
Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. 122 (2022)
Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML (2022)
Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang
Robust Clustered Federated Learning with Bootstrap Median-of-Means. APWeb/WAIM (1) (2022)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR (2022)
Wenli Zhang, Wei Zhang, Yubing Liu, Jutao Zhang, Linshan Yang, Zengru Wang, Zhongchao Mao, Shi Qi, Chengqi Zhang, Zhenliang Yin
The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock. Remote. Sens. 14 (13) (2022)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) (2022)
Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. 52 (10) (2022)
Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
On the Convergence of Clustered Federated Learning. CoRR (2022)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Shaoshen Wang, Ling Chen, Farookh Hussain, Chengqi Zhang
Semi-supervised Variational Multi-view Anomaly Detection. APWeb/WAIM (1) (2021)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. CoRR (2021)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Isometric Propagation Network for Generalized Zero-shot Learning. CoRR (2021)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang
Multi-Center Federated Learning. CoRR (2021)
Xiaochun Cheng, Chengqi Zhang, Yi Qian, Moayad Aloqaily, Yang Xiao
Editorial: deep learning for 5G IoT systems. Int. J. Mach. Learn. Cybern. 12 (11) (2021)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR (2021)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Isometric Propagation Network for Generalized Zero-shot Learning. ICLR (2021)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) (2021)
Hongxin Wu, Chengqi Zhang
Influence Between Music Based on Big Data Analysis. CIS (2021)
Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang
Multi-graph Multi-label Learning with Dual-granularity Labeling. KDD (2021)
Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. ICTAI (2021)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR (2021)
Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
Federated Learning for Open Banking. CoRR (2021)
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Network Representation Learning: A Survey. IEEE Trans. Big Data 6 (1) (2020)
Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. 50 (8) (2020)
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS (2020)
Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-Shot Learning. AAAI (2020)
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. CoRR (2020)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD (2020)
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR (2020)
Qingfeng Chen, Yulu Qiao, Fang Hu, Yongjie Li, Kai Tan, Mingrui Zhu, Chengqi Zhang
Community detection in complex network based on APT method. Pattern Recognit. Lett. 138 (2020)
Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang
Social Recommendation With Evolutionary Opinion Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 50 (10) (2020)
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-shot Learning. CoRR (2020)
Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR (2020)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR (2020)
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. COLING (2020)
Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. 50 (6) (2020)
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING (2020)
Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, Chengqi Zhang
Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG (2020)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR (2020)
Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access 8 (2020)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS (2020)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. CoRR (2020)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. ICDM (2020)
Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. CoRR (2020)
Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32 (2) (2020)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Search Efficient Binary Network Embedding. CoRR (2019)
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
Attributed Graph Clustering: A Deep Attentional Embedding Approach. CoRR (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Learning to Propagate for Graph Meta-Learning. CoRR (2019)
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. 33 (6) (2019)
Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang
CFOND: Consensus Factorization for Co-Clustering Networked Data. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR (2019)
Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang
Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. 28 (4) (2019)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. IJCAI (2019)
Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
Learning Graph Embedding with Adversarial Training Methods. CoRR (2019)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
A Comprehensive Survey on Graph Neural Networks. CoRR (2019)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Attributed Network Embedding via Subspace Discovery. CoRR (2019)
Xinxin Jiang, Shirui Pan, Guodong Long, Fei Xiong, Jing Jiang, Chengqi Zhang
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation. IEEE Trans. Ind. Electron. 66 (12) (2019)
Xianwen Jin, Xianling Liu, Yuejiao Hou, Gesheng Song, Chengqi Zhang
Preliminary Application of Intravoxel Incoherent Motion Diffusion-Weighted Imaging in Diagnosing Lung Cancer. J. Medical Imaging Health Informatics 9 (4) (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Learning to Propagate for Graph Meta-Learning. NeurIPS (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI (2019)
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
Attributed Graph Clustering: A Deep Attentional Embedding Approach. IJCAI (2019)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. CoRR (2019)
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. NAACL-HLT (1) (2019)
Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang
Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. IJCNN (2018)

Chengqi Zhang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chengqi Zhang