Chengqi Zhang - RankMe

516 papers A* 76A 17B 41C 25Misc 6Journal 237Unranked 98

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. AAAI Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2026	A*	`conf`	FedMerge: Federated Model Merging for Personalization. AAAI Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2026	A*	`conf`	Federated Vision-Language-Recommendation with Personalized Fusion. AAAI Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang
2026	J	`jnl`	From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan
2026	J	`jnl`	Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion. ACM Trans. Intell. Syst. Technol. Zicheng Zhao, Linhao Luo, Shirui Pan, Chengqi Zhang, Chen Gong
2026	J	`jnl`	Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases. CoRR Jun Yin, Peng Huo, Bangguo Zhu, Hao Yan, Senzhang Wang, Shirui Pan, Chengqi Zhang
2026	J	`jnl`	Rethinking Deep Research from the Perspective of Web Content Distribution Matching. CoRR Zixuan Yu, Zhenheng Tang, Tongliang Liu, Chengqi Zhang, Xiaowen Chu, Bo Han
2026	J	`jnl`	SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation. CoRR Yuanbo Zhao, Ruochen Liu, Senzhang Wang, Jun Yin, Yuxin Dong, Huan Gong, Hao Chen, Shirui Pan, Chengqi Zhang
2026	J	`jnl`	What Papers Don't Tell You: Recovering Tacit Knowledge for Automated Paper Reproduction. CoRR Lehui Li, Ruining Wang, Haochen Song, Yaoxin Mao, Tong Zhang, Yuyao Wang, Jiayi Fan, Yitong Zhang, Jieping Ye, Chengqi Zhang, Yongshun Gong
2025	J	`jnl`	Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. IEEE Trans. Knowl. Data Eng. Xiaoyu Li, Yitian Zhang, Guodong Long, Yupeng Hu, Wenpeng Lu, Meng Chen, Chengqi Zhang, Yongshun Gong
2025	J	`jnl`	Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. CoRR Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2025	A*	`conf`	Biologically Plausible Brain Graph Transformer. ICLR Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
2025	J	`jnl`	Biologically Plausible Brain Graph Transformer. CoRR Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
2025	A*	`conf`	Efficient Personalized Adaptation for Physiological Signal Foundation Model. ICML Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu
2025	J	`jnl`	Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information. Neural Networks Xu Zhang, Mengxin Cao, Yongshun Gong, Xiaoming Wu, Xiangjun Dong, Ying Guo, Long Zhao, Chengqi Zhang
2025	J	`jnl`	Estimating Time Series Foundation Model Transferability via In-Context Learning. CoRR Qingren Yao, Ming Jin, Chengqi Zhang, Chao-Han Huck Yang, Jun Qi, Shirui Pan
2025	A*	`conf`	Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning. ICML Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han
2025	J	`jnl`	Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning. CoRR Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han
2025	J	`jnl`	FedMerge: Federated Personalization via Model Merging. CoRR Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2025	A*	`conf`	Federated Foundation Models on Heterogeneous Time Series. AAAI Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Federated Generalized Novel Category Discovery with Prompts Tuning. Trans. Mach. Learn. Res. Lei Shen, Nan Pu, Zhun Zhong, Mingming Gong, Dianhai Yu, Chengqi Zhang, Bo Han
2025	A*	`conf`	Federated Low-Rank Adaptation for Foundation Models: A Survey. IJCAI Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Federated Low-Rank Adaptation for Foundation Models: A Survey. CoRR Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Learn to Preserve Personality: Federated Foundation Models in Recommendations. CoRR Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang
2025	B	`conf`	MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. IJCNN Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Chengqi Zhang, Allison Clarke, Clement Schlegel
2025	J	`jnl`	MaintnDist: Filter pruning via maintaining feature distribution. Knowl. Based Syst. Yali Chu, Xuming Han, Limin Wang, Chengqi Zhang
2025	J	`jnl`	On-Device Recommender Systems: A Comprehensive Survey. Data Sci. Eng. Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2025	A*	`conf`	Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. AAAI Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning. CoRR Chengpeng Hu, Ziming Wang, Bo Yuan, Jialin Liu, Chengqi Zhang, Xin Yao
2025	J	`jnl`	Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chengpeng Hu, Ziming Wang, Bo Yuan, Jialin Liu, Chengqi Zhang, Xin Yao
2025	J	`jnl`	STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. Min Yang, Xiaoyu Li, Bin Xu, Xiushan Nie, Muming Zhao, Chengqi Zhang, Yu Zheng, Yongshun Gong
2025	J	`jnl`	TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. Inf. Process. Manag. Dun Lan, Chuanhou Sun, Xiangjun Dong, Ping Qiu, Yongshun Gong, Xinwang Liu, Philippe Fournier-Viger, Chengqi Zhang
2025	J	`jnl`	Taming a Retrieval Framework to Read Images in Humanlike Manner for Augmenting Generation of MLLMs. CoRR Suyang Xi, Chenxi Yang, Hong Ding, Yiqing Ni, Catherine C. Liu, Yunhao Liu, Chengqi Zhang
2025	J	`jnl`	WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents. CoRR Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2025	—	`conf`	WisdomTales: Improving Senior Citizens' Cognitive Abilities with Arithmetic Practices. HCI (83) Rayden Wei Xuan Teo, Siyuan Liu, Chengqi Zhang
2024	A*	`conf`	ARC: A Generalist Graph Anomaly Detector with In-Context Learning. NeurIPS Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024	J	`jnl`	ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024	J	`jnl`	Algorithmic Fairness: A Tolerance Perspective. CoRR Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang
2024	J	`jnl`	Federated Foundation Models on Heterogeneous Time Series. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	Federated Prompt Learning for Weather Foundation Models on Devices. IJCAI Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan
2024	J	`jnl`	Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion. CoRR Zicheng Zhao, Linhao Luo, Shirui Pan, Chengqi Zhang, Chen Gong
2024	J	`jnl`	Influence-oriented Personalized Federated Learning. CoRR Yue Tan, Guodong Long, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	Mind the Gap Between Prototypes and Images in Cross-domain Finetuning. NeurIPS Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han
2024	J	`jnl`	Mind the Gap Between Prototypes and Images in Cross-domain Finetuning. CoRR Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han
2024	J	`jnl`	Mining actionable repetitive positive and negative sequential patterns. Knowl. Based Syst. Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao, Ying Guo, Yongshun Gong, Chengqi Zhang
2024	J	`jnl`	Multi-Level Additive Modeling for Structured Non-IID Federated Learning. CoRR Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang
2024	—	`conf`	Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. ECML/PKDD (2) Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024	J	`jnl`	On-Device Recommender Systems: A Comprehensive Survey. CoRR Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024	A*	`conf`	Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. NeurIPS Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. CoRR Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Item Representations in Federated Multimodal Recommendation. CoRR Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. IEEE Trans. Pattern Anal. Mach. Intell. Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang, Xingwei Wang
2024	A*	`conf`	Seeing Text in the Dark: Algorithm and Benchmark. ACM Multimedia Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang
2024	J	`jnl`	Seeing Text in the Dark: Algorithm and Benchmark. CoRR Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang
2024	A	`conf`	Test-Time Training for Spatial-Temporal Forecasting. SDM Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024	J	`jnl`	Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond. CoRR Qi Wang, Jindong Li, Shiqi Wang, Qianli Xing, Runliang Niu, He Kong, Rui Li, Guodong Long, Yi Chang, Chengqi Zhang
2024	J	`jnl`	Transductive Reward Inference on Graph. CoRR Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024	J	`jnl`	Transductive Reward Inference on Graph. IEEE Trans. Knowl. Data Eng. Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024	J	`jnl`	WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. CoRR Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. IJCAI Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2024	J	`jnl`	What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. CoRR Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2023	A*	`conf`	A Review for Weighted MinHash Algorithms (Extended abstract). ICDE Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2023	J	`jnl`	An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
2023	J	`jnl`	Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2023	J	`jnl`	Causal Reinforcement Learning: A Survey. CoRR Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2023	J	`jnl`	Causal Reinforcement Learning: A Survey. Trans. Mach. Learn. Res. Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2023	A*	`conf`	Does Continual Learning Equally Forget All Parameters? ICML Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	Does Continual Learning Equally Forget All Parameters? CoRR Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	A*	`conf`	Dual Personalization on Federated Recommendation. IJCAI Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	J	`jnl`	Dual Personalization on Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	A*	`conf`	Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2023	J	`jnl`	Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
2023	J	`jnl`	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. Yingqing Su, Qi Feng, Wei Liu, Meng Zhu, Honghua Xia, Xiaohong Ma, Wenju Cheng, Jutao Zhang, Chengqi Zhang, Linshan Yang, Xinwei Yin
2023	—	`conf`	Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023	J	`jnl`	Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023	A	`conf`	Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong
2023	—	`conf`	RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. PAKDD (4) Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2023	J	`jnl`	Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
2023	J	`jnl`	Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong
2023	A*	`conf`	Structured Federated Learning through Clustered Additive Modeling. NeurIPS Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	—	`conf`	Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2022	J	`jnl`	Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang
2022	B	`conf`	Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. IJCNN Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
2022	J	`jnl`	Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. CoRR Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
2022	A*	`conf`	EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
2022	J	`jnl`	Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022	A*	`conf`	FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2022	J	`jnl`	Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	On the Convergence of Clustered Federated Learning. CoRR Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2022	—	`conf`	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022	J	`jnl`	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022	J	`jnl`	Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
2022	—	`conf`	Robust Clustered Federated Learning with Bootstrap Median-of-Means. APWeb/WAIM (1) Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang
2022	J	`jnl`	The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock. Remote. Sens. Wenli Zhang, Wei Zhang, Yubing Liu, Jutao Zhang, Linshan Yang, Zengru Wang, Zhongchao Mao, Shi Qi, Chengqi Zhang, Zhenliang Yin
2021	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2021	J	`jnl`	Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2021	B	`conf`	Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. ICTAI Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
2021	J	`jnl`	Editorial: deep learning for 5G IoT systems. Int. J. Mach. Learn. Cybern. Xiaochun Cheng, Chengqi Zhang, Yi Qian, Moayad Aloqaily, Yang Xiao
2021	J	`jnl`	Federated Learning for Open Banking. CoRR Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
2021	—	`conf`	Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021	J	`jnl`	Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021	C	`conf`	Influence Between Music Based on Big Data Analysis. CIS HongXin Wu, Chengqi Zhang
2021	A*	`conf`	Isometric Propagation Network for Generalized Zero-shot Learning. ICLR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021	J	`jnl`	Isometric Propagation Network for Generalized Zero-shot Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021	J	`jnl`	MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang
2021	A*	`conf`	Multi-graph Multi-label Learning with Dual-granularity Labeling. KDD Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang
2021	J	`jnl`	Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2021	—	`conf`	Semi-supervised Variational Multi-view Anomaly Detection. APWeb/WAIM (1) Shaoshen Wang, Ling Chen, Farookh Khadeer Hussain, Chengqi Zhang
2020	A*	`conf`	Attribute Propagation Network for Graph Zero-Shot Learning. AAAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Attribute Propagation Network for Graph Zero-shot Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	A*	`conf`	BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. ICDM Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Community detection in complex network based on APT method. Pattern Recognit. Lett. Qingfeng Chen, Yulu Qiao, Fang Hu, Yongjie Li, Kai Tan, Mingrui Zhu, Chengqi Zhang
2020	A	`conf`	Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang
2020	A*	`conf`	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	J	`jnl`	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	A*	`conf`	Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
2020	J	`jnl`	Cooperative Heterogeneous Deep Reinforcement Learning. CoRR Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
2020	A*	`conf`	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020	J	`jnl`	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020	C	`conf`	Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, Chengqi Zhang
2020	A*	`conf`	Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
2020	J	`jnl`	Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang
2020	—	`ch.`	Federated Learning for Open Banking. Federated Learning Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
2020	B	`conf`	Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020	J	`jnl`	Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020	J	`jnl`	Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang
2020	J	`jnl`	Network Representation Learning: A Survey. IEEE Trans. Big Data Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2020	B	`conf`	RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. COLING Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. CoRR Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Social Recommendation With Evolutionary Opinion Dynamics. IEEE Trans. Syst. Man Cybern. Syst. Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang
2020	J	`jnl`	Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
2020	J	`jnl`	Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. CoRR Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang
2019	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2019	A*	`conf`	Attributed Graph Clustering: A Deep Attentional Embedding Approach. IJCAI Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Attributed Graph Clustering: A Deep Attentional Embedding Approach. CoRR Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Attributed Network Embedding via Subspace Discovery. CoRR Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019	J	`jnl`	Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019	J	`jnl`	CFOND: Consensus Factorization for Co-Clustering Networked Data. IEEE Trans. Knowl. Data Eng. Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2019	J	`jnl`	Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation. IEEE Trans. Ind. Electron. Xinxin Jiang, Shirui Pan, Guodong Long, Fei Xiong, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang
2019	A*	`conf`	Graph WaveNet for Deep Spatial-Temporal Graph Modeling. IJCAI Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Graph WaveNet for Deep Spatial-Temporal Graph Modeling. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
2019	J	`jnl`	Learning Graph Embedding with Adversarial Training Methods. CoRR Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
2019	A*	`conf`	Learning to Propagate for Graph Meta-Learning. NeurIPS Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Learning to Propagate for Graph Meta-Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Preliminary Application of Intravoxel Incoherent Motion Diffusion-Weighted Imaging in Diagnosing Lung Cancer. J. Medical Imaging Health Informatics Xianwen Jin, Xianling Liu, Yuejiao Hou, Gesheng Song, Chengqi Zhang
2019	A*	`conf`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	J	`jnl`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	J	`jnl`	Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2019	J	`jnl`	Search Efficient Binary Network Embedding. CoRR Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019	—	`conf`	Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. NAACL-HLT (1) Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	J	`jnl`	A Review for Weighted MinHash Algorithms. CoRR Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2018	J	`jnl`	Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications. Complex. Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang
2018	A*	`conf`	Adversarially Regularized Graph Autoencoder for Graph Embedding. IJCAI Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018	J	`jnl`	Adversarially Regularized Graph Autoencoder. CoRR Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018	—	`conf`	Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. ICLR (Poster) Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	J	`jnl`	Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	A*	`conf`	Binarized attributed network embedding. ICDM Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
2018	B	`conf`	Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. IJCNN Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang
2018	A*	`conf`	DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. AAAI Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2018	J	`jnl`	Dual influence embedded social recommendation. World Wide Web Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang
2018	J	`jnl`	Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. IEEE Trans. Neural Networks Learn. Syst. Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang, Chengqi Zhang, Nicu Sebe
2018	A*	`conf`	Efficient Attributed Network Embedding via Recursive Randomized Hashing. IJCAI Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2018	J	`jnl`	Fast Directional Self-Attention Mechanism. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	J	`jnl`	K-Ary Tree Hashing for Fast Graph Classification. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
2018	—	`conf`	MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. PAKDD (2) Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018	J	`jnl`	MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. CoRR Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018	J	`jnl`	Multi-Instance Learning with Discriminative Bag Mapping. IEEE Trans. Knowl. Data Eng. Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2018	J	`jnl`	Multiple Structure-View Learning for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2018	J	`jnl`	Network Representation Learning: A Survey. CoRR Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018	A*	`conf`	Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. IJCAI Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2018	J	`jnl`	Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2018	A*	`conf`	SINE: Scalable Incomplete Network Embedding. ICDM Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018	J	`jnl`	SINE: Scalable Incomplete Network Embedding. CoRR Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2017	J	`jnl`	Boosting for graph classification with universum. Knowl. Inf. Syst. Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017	J	`jnl`	Collective Hyping Detection System for Identifying Online Spam Activities. IEEE Intell. Syst. Qinzhe Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2017	J	`jnl`	Combining Structured Node Content and Topology Information for Networked Graph Clustering. ACM Trans. Knowl. Discov. Data Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang
2017	A*	`conf`	Consistent Weighted Sampling Made More Practical. WWW Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2017	J	`jnl`	Deep Learning from Noisy Image Labels with Quality Embedding. CoRR Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang
2017	J	`jnl`	DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2017	J	`jnl`	Exploring Consensus RNA Substructural Patterns Using Subgraph Mining. IEEE ACM Trans. Comput. Biol. Bioinform. Qingfeng Chen, Chaowang Lan, Baoshan Chen, Lusheng Wang, Jinyan Li, Chengqi Zhang
2017	J	`jnl`	Improved Consistent Weighted Sampling Revisited. CoRR Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
2017	J	`jnl`	Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
2017	J	`jnl`	Positive and Unlabeled Multi-Graph Learning. IEEE Trans. Cybern. Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2017	B	`conf`	Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. EDBT Bozhong Liu, Ling Chen, Xingquan Zhu, Ying Zhang, Chengqi Zhang, Weidong Qiu
2017	A*	`conf`	Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness. IJCAI Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, Chengqi Zhang
2017	J	`jnl`	Task Sensitive Feature Exploration and Learning for Multitask Graph Classification. IEEE Trans. Cybern. Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017	A*	`conf`	User Profile Preserving Social Network Embedding. IJCAI Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2017	J	`jnl`	Using propensity scores to predict the kinases of unannotated phosphopeptides. Knowl. Based Syst. Qingfeng Chen, Yiqi Wang, Baoshan Chen, Chengqi Zhang, Lusheng Wang, Jinyan Li
2016	A*	`conf`	Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. SIGIR Kaisong Song, Wei Gao, Ling Chen, Shi Feng, Daling Wang, Chengqi Zhang
2016	A*	`conf`	Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. ICDM Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2016	B	`conf`	Co-clustering enterprise social networks. IJCNN Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang
2016	A	`conf`	Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. CIKM Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016	J	`jnl`	Compound Rank-k Projections for Bilinear Analysis. IEEE Trans. Neural Networks Learn. Syst. Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang
2016	J	`jnl`	Convex Sparse PCA for Unsupervised Feature Learning. ACM Trans. Knowl. Discov. Data Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang
2016	—	`conf`	Cross-View Feature Hashing for Image Retrieval. PAKDD (1) Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
2016	—	`conf`	Depth-First Search Encoding of RNA Substructures. ICIC (1) Qingfeng Chen, Chaowang Lan, Jinyan Li, Baoshan Chen, Lusheng Wang, Chengqi Zhang
2016	A*	`conf`	Dynamic Concept Composition for Zero-Example Event Detection. AAAI Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann
2016	J	`jnl`	Dynamic Concept Composition for Zero-Example Event Detection. CoRR Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann
2016	—	`conf`	Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. PAKDD (1) Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
2016	A	`conf`	Global and Local Influence-based Social Recommendation. CIKM Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang
2016	A*	`conf`	Homophily, Structure, and Content Augmented Network Representation Learning. ICDM Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016	A*	`conf`	Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. ICDM Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016	J	`jnl`	Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. IEEE Intell. Syst. Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang
2016	J	`jnl`	Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification. IEEE Trans. Knowl. Data Eng. Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016	A*	`conf`	Joint structure feature exploration and regularization for multi-task graph classification. ICDE Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016	—	`conf`	Mining Co-locations from Continuously Distributed Uncertain Spatial Data. APWeb (1) Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu
2016	J	`jnl`	Multi-graph-view subgraph mining for graph classification. Knowl. Inf. Syst. Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2016	J	`jnl`	Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2016	—	`conf`	PerSentiment: A Personalized Sentiment Classification System for Microblog Users. WWW (Companion Volume) Kaisong Song, Ling Chen, Wei Gao, Shi Feng, Daling Wang, Chengqi Zhang
2016	J	`jnl`	SODE: Self-Adaptive One-Dependence Estimators for classification. Pattern Recognit. Jia Wu, Shirui Pan, Xingquan Zhu, Peng Zhang, Chengqi Zhang
2016	J	`jnl`	Time-Variant Graph Classification. CoRR Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang
2016	J	`jnl`	Towards Anomalous Diffusion Sources Detection in a Large Network. ACM Trans. Internet Techn. Peng Zhang, Jing He, Guodong Long, Guangyan Huang, Chengqi Zhang
2016	A*	`conf`	TrGraph: Cross-network transfer learning via common signature subgraphs. ICDE Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016	A*	`conf`	Tri-Party Deep Network Representation. IJCAI Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang
2016	A*	`conf`	Unsupervised Feature Learning from Time Series. IJCAI Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang
2015	—	`conf`	Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph. HT Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen, Chengqi Zhang
2015	C	`ed.`	Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings ICDS Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He
2015	A	`conf`	Defragging Subgraph Features for Graph Classification. CIKM Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
2015	J	`jnl`	Finding the best not the most: regularized loss minimization subgraph selection for graph classification. Pattern Recognit. Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2015	J	`jnl`	Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification. IEEE Trans. Cybern. Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang
2015	A*	`conf`	Locally Densest Subgraph Discovery. KDD Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang
2015	J	`jnl`	Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang
2015	A*	`conf`	Multi-Graph-View Learning for Complicated Object Classification. IJCAI Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2015	B	`conf`	Online diffusion source detection in social networks. IJCNN Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang
2015	A*	`ed.`	Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 KDD Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams
2015	B	`conf`	RCP Mining: Towards the Summarization of Spatial Co-location Patterns. SSTD Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang, Weidong Qiu
2015	J	`jnl`	Rating Knowledge Sharing in Cross-Domain Collaborative Filtering. IEEE Trans. Cybern. Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang
2015	A*	`conf`	Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi
2015	J	`jnl`	Self-adaptive attribute weighting for Naive Bayes classification. Expert Syst. Appl. Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang
2015	Misc	`conf`	SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
2015	A*	`conf`	Towards Mining Trapezoidal Data Streams. ICDM Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2015	J	`jnl`	TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs. IEEE Trans. Knowl. Data Eng. Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2014	J	`jnl`	Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach. IEEE Trans. Knowl. Data Eng. Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang
2014	B	`conf`	Attribute weighting: How and when does it work for Bayesian Network Classification. IJCNN Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2014	J	`jnl`	Bag Constrained Structure Pattern Mining for Multi-Graph Classification. IEEE Trans. Knowl. Data Eng. Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2014	B	`conf`	Dual instance and attribute weighting for Naive Bayes classification. IJCNN Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang
2014	A	`conf`	Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. CIKM Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014	B	`conf`	Matching dominance: capture the semantics of dominance for multi-dimensional uncertain objects. SSDBM Ying Zhang, Wenjie Zhang, Xuemin Lin, Muhammad Aamir Cheema, Chengqi Zhang
2014	A	`conf`	Multi-Graph Learning with Positive and Unlabeled Bags. SDM Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014	—	`conf`	Multi-Instance Learning from Positive and Unlabeled Bags. PAKDD (1) Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014	A*	`conf`	Multi-graph-view Learning for Graph Classification. ICDM Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014	A*	`conf`	SNOC: Streaming Network Node Classification. ICDM Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang
2014	—	`conf`	Scalable big graph processing in MapReduce. SIGMOD Conference Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang, Xuemin Lin
2014	J	`jnl`	The effect of varying levels of class distribution on bagging for different algorithms: An empirical study. Int. J. Mach. Learn. Cybern. Guohua Liang, Xingquan Zhu, Chengqi Zhang
2013	A	`conf`	Active Class Discovery and Learning for Networked Data. SDM Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu
2013	C	`conf`	Cost-Sensitive Classification with k-Nearest Neighbors. KSEM Zhenxing Qin, Alan Tao Wang, Chengqi Zhang, Shichao Zhang
2013	A*	`conf`	Graph stream classification using labeled and unlabeled graphs. ICDE Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2013	J	`jnl`	Learning colours from textures by sparse manifold embedding. Signal Process. Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
2013	A*	`conf`	Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. ICDM Li Wan, Ling Chen, Chengqi Zhang
2013	A	`conf`	Mining Probabilistic Representative Frequent Patterns From Uncertain Data. SDM Ling Chen, Chunyang Liu, Chengqi Zhang
2013	B	`conf`	Mining frequent serial episodes over uncertain sequence data. EDBT Li Wan, Ling Chen, Chengqi Zhang
2013	A*	`conf`	Multi-instance Multi-graph Dual Embedding Learning. ICDM Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2013	J	`jnl`	Noisy but non-malicious user detection in social recommender systems. World Wide Web Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
2013	A*	`conf`	Summarizing probabilistic frequent patterns: a fast approach. KDD Chunyang Liu, Ling Chen, Chengqi Zhang
2012	—	`conf`	A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification. Australasian Conference on Artificial Intelligence Guohua Liang, Chengqi Zhang
2012	A*	`conf`	Active Learning from Oracle with Knowledge Blind Spot. AAAI Meng Fang, Xingquan Zhu, Chengqi Zhang
2012	A	`conf`	An efficient and simple under-sampling technique for imbalanced time series classification. CIKM Guohua Liang, Chengqi Zhang
2012	J	`jnl`	Cost-sensitive classification with inadequate labeled data. Inf. Syst. Tao Wang, Zhenxing Qin, Shichao Zhang, Chengqi Zhang
2012	J	`jnl`	Mining bridging rules between conceptual clusters. Appl. Intell. Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang
2012	A*	`conf`	Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. ICDM Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang
2012	J	`jnl`	Probabilistic Exposure Fusion. IEEE Trans. Image Process. Mingli Song, Dacheng Tao, Chun Chen, Jiajun Bu, Jiebo Luo, Chengqi Zhang
2012	—	`conf`	Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles. WICSA/ECSA Guoxin Su, Mingsheng Ying, Chengqi Zhang
2012	J	`jnl`	Session Communication and Integration CoRR Guoxin Su, Mingsheng Ying, Chengqi Zhang
2012	—	`conf`	System Modeling of a Smart-Home Healthy Lifestyle Assistant. ADMI Xinhua Zhu, Yaxin Yu, Yuming Ou, Dan Luo, Chengqi Zhang, Jiahang Chen
2012	A	`conf`	TCSST: transfer classification of short & sparse text using external data. CIKM Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang
2011	—	`conf`	Agent-Based Subspace Clustering. PAKDD (2) Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang, Wei Cao
2011	—	`conf`	An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data. ADMA (1) Guohua Liang, Chengqi Zhang
2011	A*	`conf`	An Empirical Study of Bagging Predictors for Different Learning Algorithms. AAAI Guohua Liang, Xingquan Zhu, Chengqi Zhang
2011	—	`conf`	An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution. Australasian Conference on Artificial Intelligence Guohua Liang, Xingquan Zhu, Chengqi Zhang
2011	J	`jnl`	CLAP: Collaborative pattern mining for distributed information systems. Decis. Support Syst. Xingquan Zhu, Bin Li, Xindong Wu, Dan He, Chengqi Zhang
2011	J	`jnl`	Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Trans. Syst. Man Cybern. Part B Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang
2011	A*	`conf`	Cross-Domain Collaborative Filtering over Time. IJCAI Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu
2011	A	`conf`	Do they belong to the same class: active learning by querying pairwise label homogeneity. CIKM Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang
2011	Misc	`conf`	Empirical Study of Bagging Predictors on Medical Data. AusDM Guohua Liang, Chengqi Zhang
2011	J	`jnl`	Enhancing grid-density based clustering for high dimensional data. J. Syst. Softw. Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang
2011	—	`conf`	Learning Colours from Textures by Sparse Manifold Embedding. Australasian Conference on Artificial Intelligence Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
2011	J	`jnl`	Margin-based ensemble classifier for protein fold recognition. Expert Syst. Appl. Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang, Joshua Zhexue Huang
2011	J	`jnl`	One-class learning and concept summarization for data streams. Knowl. Inf. Syst. Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang
2011	A	`conf`	Semi-supervised Variable Weighting for Clustering. SDM Ling Chen, Chengqi Zhang
2011	A*	`conf`	Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao
2011	A	`conf`	e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. CIKM Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou
2010	—	`conf`	A Multiple System Performance Monitoring Model for Web Services. ADMI Yong Yang, Dan Luo, Chengqi Zhang
2010	—	`conf`	A Novel Prototype Reduction Method for the PAKDD (2) Tao Yang, Longbing Cao, Chengqi Zhang
2010	J	`jnl`	Against-Expectation Pattern Discovery: Identifying Interactions within Items with Large Relative-Contrasts in Databases. IEEE Intell. Informatics Bull. Dingrong Yuan, Xiaofang You, Chengqi Zhang
2010	B	`conf`	An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. ECSA Guoxin Su, Mingsheng Ying, Chengqi Zhang
2010	—	`conf`	Combining Support Vector Machines and the PAKDD (2) Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang
2010	J	`jnl`	Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis. Int. J. Data Warehous. Min. Yongsong Qin, Shichao Zhang, Chengqi Zhang
2010	—	`conf`	Cost Sensitive Classification in Data Mining. ADMA (1) Zhenxing Qin, Chengqi Zhang, Tao Wang, Shichao Zhang
2010	J	`jnl`	Flexible Frameworks for Actionable Knowledge Discovery. IEEE Trans. Knowl. Data Eng. Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang, Eun K. Park
2010	A*	`ed.`	ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 ICDM Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010	—	`ed.`	ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010 ICDM Workshops Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010	J	`jnl`	Introduction to the Domain-Driven Data Mining Special Section. IEEE Trans. Knowl. Data Eng. Chengqi Zhang, Philip S. Yu, David A. Bell
2010	B	`conf`	Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. IJCNN Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang
2009	J	`jnl`	Adaptive Anomaly Detection of Coupled Activity Sequences. IEEE Intell. Informatics Bull. Yuming Ou, Longbing Cao, Chengqi Zhang
2009	—	`ch.`	Agent-Based Distributed Data Mining: A Survey. Data Mining and Multi-agent Integration Chayapol Moemeng, Vladimir Gorodetsky, Ziye Zuo, Yong Yang, Chengqi Zhang
2009	J	`jnl`	An Agent-Based Hybrid System for Microarray Data Analysis. IEEE Intell. Syst. Zili Zhang, Pengyi Yang, Xindong Wu, Chengqi Zhang
2009	J	`jnl`	Confidence Metrics for Association Rule Mining. Appl. Artif. Intell. Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2009	J	`jnl`	Customer Activity Sequence Classification for Debt Prevention in Social Security. J. Comput. Sci. Technol. Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009	C	`conf`	Debt Detection in Social Security by Adaptive Sequence Classification. KSEM Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid
2009	—	`conf`	Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. ECML/PKDD (2) Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009	—	`conf`	Developing Actionable Trading Strategies for Trading Agents. Web Intelligence Chengqi Zhang
2009	—	`conf`	Efficient approximate entity extraction with edit distance constraints. SIGMOD Conference Wei Wang, Chuan Xiao, Xuemin Lin, Chengqi Zhang
2009	J	`jnl`	Estimating confidence intervals for structural differences between contrast groups with missing data. Expert Syst. Appl. Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2009	J	`jnl`	Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support. Expert Syst. Appl. Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2009	B	`conf`	Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. PAKDD Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009	—	`conf`	Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao
2009	J	`jnl`	POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. Expert Syst. Appl. Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2009	—	`conf`	Ubiquitous Intelligence in Agent Mining. ADMI Longbing Cao, Dan Luo, Chengqi Zhang
2009	A*	`conf`	Vague One-Class Learning for Data Streams. ICDM Xingquan Zhu, Xindong Wu, Chengqi Zhang
2008	J	`jnl`	Activity Mining: from Activities to Actions. Int. J. Inf. Technol. Decis. Mak. Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang
2008	A*	`conf`	Cleansing Noisy Data Streams. ICDM Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi
2008	B	`conf`	Combined Association Rule Mining. PAKDD Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang
2008	—	`conf`	Combined Pattern Mining: From Learned Rules to Actionable Knowledge. Australasian Conference on Artificial Intelligence Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2008	J	`jnl`	Computing the minimum-support for mining frequent patterns. Knowl. Inf. Syst. Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu
2008	B	`conf`	Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation. PRICAI Yuming Ou, Longbing Cao, Chao Luo, Chengqi Zhang
2008	J	`jnl`	Editorial. Int. J. Softw. Informatics Xingquan Zhu, Chengqi Zhang, David L. Olson
2008	—	`conf`	Efficient Mining of Event-Oriented Negative Sequential Rules. Web Intelligence Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2008	J	`jnl`	Engineering Open Complex Agent Systems: A Case Study. IEEE Trans. Syst. Man Cybern. Part C Longbing Cao, Chengqi Zhang, MengChu Zhou
2008	—	`conf`	Exception Mining on Multiple Time Series in Stock Market. Web Intelligence/IAT Workshops Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang
2008	—	`conf`	F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments. Web Intelligence/IAT Workshops Peerapol Moemeng, Longbing Cao, Chengqi Zhang
2008	—	`ch.`	Intelligent Agent. Wiley Encyclopedia of Computer Science and Engineering Chengqi Zhang, Zili Zhang
2008	J	`jnl`	Mining Impact-Targeted Activity Patterns in Imbalanced Data. IEEE Trans. Knowl. Data Eng. Longbing Cao, Yanchang Zhao, Chengqi Zhang
2008	J	`jnl`	Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
2008	A*	`conf`	Multi-Space-Mapped SVMs for Multi-class Classification. ICDM Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang
2008	—	`book`	Secure Transaction Protocol Analysis: Models and Applications Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2007	—	`conf`	Agent-Mining Interaction: An Emerging Area. AIS-ADM Longbing Cao, Chao Luo, Chengqi Zhang
2007	—	`ed.`	Autonomous Intelligent Systems: Multi-Agents and Data Mining, Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings AIS-ADM Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao
2007	J	`jnl`	Building agent-based hybrid intelligent systems: A case study. Web Intell. Agent Syst. Zili Zhang, Chengqi Zhang
2007	—	`conf`	Class Association Rule Mining with Multiple Imbalanced Attributes. Australian Conference on Artificial Intelligence Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang
2007	A*	`conf`	Cost-Sensitive Imputing Missing Values with Ordering. AAAI Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang
2007	C	`conf`	Cost-Time Sensitive Decision Tree with Missing Values. KSEM Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2007	J	`jnl`	DDDM2007: Domain Driven Data Mining. SIGKDD Explor. Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams
2007	—	`conf`	Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents. Web Intelligence/IAT Workshops Yuming Ou, Longbing Cao, Ting Yu, Chengqi Zhang
2007	J	`jnl`	Detecting inconsistency in biological molecular databases using ontologies. Data Min. Knowl. Discov. Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang
2007	—	`conf`	Developing Actionable Trading Strategies for Trading Agents. IAT Longbing Cao, Chao Luo, Chengqi Zhang
2007	J	`jnl`	Domain-Driven, Actionable Knowledge Discovery. IEEE Intell. Syst. Longbing Cao, Chengqi Zhang, Qiang Yang, David A. Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco
2007	J	`jnl`	EDUA: An efficient algorithm for dynamic database mining. Inf. Sci. Shichao Zhang, Jilian Zhang, Chengqi Zhang
2007	—	`conf`	Efficient Attribute Reduction Based on Discernibility Matrix. RSKT Zhangyan Xu, Chengqi Zhang, Shichao Zhang, Wei Song, Bingru Yang
2007	—	`conf`	Evolutionary Optimization of Trading Strategies. DMBiz@PAKDD Jiarui Ni, Longbing Cao, Chengqi Zhang
2007	A	`conf`	F-trade: an agent-mining symbiont for financial services. AAMAS Longbing Cao, Chengqi Zhang
2007	B	`conf`	GBKII: An Imputation Method for Missing Values. PAKDD Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang
2007	J	`jnl`	Knowledge actionability: satisfying technical and business interestingness. Int. J. Bus. Intell. Data Min. Longbing Cao, Dan Luo, Chengqi Zhang
2007	A*	`conf`	Measuring the Uncertainty of Differences for Contrasting Groups. AAAI Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang
2007	J	`jnl`	On Data Structures for Association Rule Discovery. Appl. Artif. Intell. Xiaowei Yan, Shichao Zhang, Chengqi Zhang
2007	J	`jnl`	Semi-parametric optimization for missing data imputation. Appl. Intell. Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2007	J	`jnl`	The Evolution of KDD: towards Domain-Driven Data Mining. Int. J. Pattern Recognit. Artif. Intell. Longbing Cao, Chengqi Zhang
2007	—	`conf`	Towards Business Interestingness in Actionable Knowledge Discovery. DMBiz@PAKDD Dan Luo, Longbing Cao, Chao Luo, Chengqi Zhang, Weiyuan Wang
2006	—	`conf`	A Human-Friendly MAS for Mining Stock Data. IAT Workshops Jiarui Ni, Chengqi Zhang
2006	J	`jnl`	A Neural Network Abductive Model. Aust. J. Intell. Inf. Process. Syst. Yue Xu, Kankana Chakrabarty, Chengqi Zhang
2006	—	`conf`	A dynamic storage method for stock transaction data. Computational Intelligence Jiarui Ni, Chengqi Zhang
2006	C	`conf`	Adapting K-Means Algorithm for Discovering Clusters in Subspaces. APWeb Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao
2006	—	`conf`	Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets. AMT Jiarui Ni, Longbing Cao, Chengqi Zhang
2006	C	`conf`	Detecting Collusion Attacks in Security Protocols. APWeb Qingfeng Chen, Yi-Ping Phoebe Chen, Shichao Zhang, Chengqi Zhang
2006	Misc	`conf`	Discovering Debtor Patterns of Centrelink Customers. AusDM Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang
2006	B	`conf`	Domain-Driven Actionable Knowledge Discovery in the Real World. PAKDD Longbing Cao, Chengqi Zhang
2006	J	`jnl`	Domain-Driven Data Mining: A Practical Methodology. Int. J. Data Warehous. Min. Longbing Cao, Chengqi Zhang
2006	—	`conf`	Domain-Driven Data Mining: Methodologies and Applications. AMT Chengqi Zhang, Longbing Cao
2006	—	`conf`	Dynamic Focus Strategies for Electronic Trade Execution in Limit Order Markets. CEC/EEE Jiaqi Wang, Chengqi Zhang
2006	—	`conf`	Efficient Frequent Itemsets Mining by Sampling. AMT Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2006	—	`conf`	Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data. Australian Conference on Artificial Intelligence Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2006	B	`conf`	Fuzzy Genetic Algorithms for Pairs Mining. PRICAI Longbing Cao, Dan Luo, Chengqi Zhang
2006	A*	`conf`	Identifying bridging rules between conceptual clusters. KDD Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
2006	—	`conf`	Intelligence Metasynthesis in Building Business Intelligence Systems. WImBI Longbing Cao, Chengqi Zhang, Dan Luo, Ruwei Dai
2006	B	`conf`	Is Frequency Enough for Decision Makers to Make Decisions?. PAKDD Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang
2006	—	`conf`	Kernel-Based Multi-Imputation for Missing Data. AMT Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2006	B	`conf`	Mining Frequent Itemsets for Protein Kinase Regulation. PRICAI Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Lianggang Li
2006	—	`conf`	Missing or absent? A Question in Cost-sensitive Decision Tree. AMT Zhenxing Qin, Shichao Zhang, Chengqi Zhang
2006	J	`jnl`	Ontology-based integration of business intelligence. Web Intell. Agent Syst. Longbing Cao, Chengqi Zhang, Jiming Liu
2006	B	`conf`	Optimized Parameters for Missing Data Imputation. PRICAI Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
2006	—	`ch.`	SVM-OD: SVM Method to Detect Outliers. Foundations and Novel Approaches in Data Mining Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, Jue Wang
2006	—	`conf`	Stock Data Mining through Fuzzy Genetic Algorithms. JCIS Longbing Cao, Chao Luo, Jiarui Ni, Dan Luo, Chengqi Zhang
2005	B	`conf`	A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. DaWaK Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
2005	—	`conf`	A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis. DEEC Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Shichao Zhang
2005	B	`conf`	A Recent-Biased Dimension Reduction Technique for Time Series Data. PAKDD Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2005	—	`conf`	Agent Services-Orinted Architectural Design of Open Complex Agent Systems. IAT Longbing Cao, Chengqi Zhang, Jiarui Ni
2005	—	`conf`	Agents and Data Mining: Mutual Enhancement by Integration. AIS-ADM Chengqi Zhang, Zili Zhang, Longbing Cao
2005	C	`conf`	An Efficient Implementation of the Backtesting of Trading Strategies. ISPA Jiarui Ni, Chengqi Zhang
2005	J	`jnl`	An improved model-based method to test circuit faults. Theor. Comput. Sci. Xiaochun Cheng, Dantong Ouyang, Yunfei Jiang, Chengqi Zhang
2005	—	`conf`	Any-Cost Discovery: Learning Optimal Classification Rules. Australian Conference on Artificial Intelligence Ailing Ni, Xiaofeng Zhu, Chengqi Zhang
2005	J	`jnl`	Armga: Identifying Interesting Association Rules with Genetic Algorithms. Appl. Artif. Intell. Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2005	J	`jnl`	Association-Based Segmentation for Chinese-Crossed Query Expansion. IEEE Intell. Informatics Bull. Chengqi Zhang, Zhenxing Qin, Xiaowei Yan
2005	J	`jnl`	Database classification for multi-database mining. Inf. Syst. Xindong Wu, Chengqi Zhang, Shichao Zhang
2005	—	`conf`	Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales. FSKD (1) Zhenxing Qin, Chengqi Zhang, Xuehui Xie, Shichao Zhang
2005	J	`jnl`	ENDL: A Logical Framework for Verifying Secure Transaction Protocols. Knowl. Inf. Syst. Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2005	—	`conf`	Genetic Algorithms for Robust Optimization in Financial Applications. Computational Intelligence Li Lin, Longbing Cao, Chengqi Zhang
2005	J	`jnl`	Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. Chengqi Zhang, Qiang Yang, Bing Liu
2005	J	`jnl`	Identifying Interesting Customers through Web Log Classification. IEEE Intell. Syst. Jeffrey Xu Yu, Yuming Ou, Chengqi Zhang, Shichao Zhang
2005	—	`ch.`	Identifying Interesting Patterns in Multidatabases. Classification and Clustering for Knowledge Discovery Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang
2005	C	`conf`	In-Depth Data Mining and Its Application in Stock Market. ADMA Chengqi Zhang, Shichao Zhang
2005	J	`jnl`	Support vector machines based on K-means clustering for real-time business intelligence systems. Int. J. Bus. Intell. Data Min. Jiaqi Wang, Xindong Wu, Chengqi Zhang
2005	—	`conf`	The Fish-eye Visualization of Foreign Currency Exchange Data Streams. APVIS Li Lin, Longbing Cao, Chengqi Zhang
2005	—	`conf`	The Visualization of Large Database in Stock Market. Databases and Applications Li Lin, Longbing Cao, Chengqi Zhang
2005	J	`jnl`	XEvent: An Event Notification System over Distributed Hash Table (DHT) Networks. IEEE Intell. Informatics Bull. Ruili Wang, Weixiong Rao, Chengqi Zhang
2004	—	`conf`	A Platform for Dynamic Organization of Agents in Agent-Based Systems. IAT Chunsheng Li, Zili Zhang, Chengqi Zhang
2004	C	`conf`	A Verification Model for Electronic Transaction Protocols. APWeb Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2004	J	`jnl`	A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules. Inf. Sci. Shichao Zhang, Jingli Lu, Chengqi Zhang
2004	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings PAKDD Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang
2004	—	`conf`	Agent Services-Based Infrastructure for Online Assessment of Trading Strategies. IAT Longbing Cao, Jiaqi Wang, Li Lin, Chengqi Zhang
2004	—	`conf`	Agent Services-Driven Plug-and-Play in F-TRADE. Australian Conference on Artificial Intelligence Longbing Cao, Jiarui Ni, Jiaqi Wang, Chengqi Zhang
2004	—	`book`	Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving Zili Zhang, Chengqi Zhang
2004	J	`jnl`	An efficient strategy for mining exceptions in multi-databases . Inf. Sci. Shichao Zhang, Chengqi Zhang, Jeffrey Xu Yu
2004	—	`conf`	Clustering High-Dimensional Data with Low-Order Neighbors. Web Intelligence Yanchang Zhao, Chengqi Zhang, Yi-Dong Shen
2004	—	`conf`	Cost-Sensitive Decision Trees with Multiple Cost Scales. Australian Conference on Artificial Intelligence Zhenxing Qin, Shichao Zhang, Chengqi Zhang
2004	—	`conf`	Discovering Interesting Association Rules by Clustering. Australian Conference on Artificial Intelligence Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2004	J	`jnl`	Efficient mining of both positive and negative association rules. ACM Trans. Inf. Syst. Xindong Wu, Chengqi Zhang, Shichao Zhang
2004	J	`jnl`	Guest Editors' Introduction: Information Enhancement for Data Mining. IEEE Intell. Syst. Shichao Zhang, Chengqi Zhang, Qiang Yang
2004	J	`jnl`	Identifying Global Exceptional Patterns in Multi-database Mining. IEEE Intell. Informatics Bull. Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Zhang
2004	J	`jnl`	Identifying Software Component Association With Genetic Algorithm. Int. J. Softw. Eng. Knowl. Eng. Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2004	—	`conf`	Integration of Business Intelligence Based on Three-Level Ontology Services. Web Intelligence Longbing Cao, Chao Luo, Dan Luo, Chengqi Zhang
2004	C	`conf`	Integrative Early Requirements Analysis for Agent-Based Systems. HIS Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani
2004	—	`conf`	KBSVM: KMeans-based SVM for Business Intelligence. AMCIS Jiaqi Wang, Chengqi Zhang
2004	—	`book`	Knowledge Discovery in Multiple Databases. Shichao Zhang, Chengqi Zhang, Xindong Wu
2004	J	`jnl`	Mining Dependent Patterns In Probabilistic Databases. Cybern. Syst. Shichao Zhang, Chengqi Zhang, Jeffrey Xu Yu
2004	B	`ed.`	PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004, Proceedings PRICAI Chengqi Zhang, Hans W. Guesgen, Wai-Kiang Yeap
2003	C	`conf`	A Database-Independent Approach of Mining Association Rules with Genetic Algorithm. IDEAL Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003	C	`conf`	A Database-Independent Strategy for Confidence Determination. SEKE Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003	J	`jnl`	A Probability Data Model and its Semantics. J. Res. Pract. Inf. Technol. Shichao Zhang, Chengqi Zhang
2003	C	`conf`	A Ring-Based Architectural Model for Middle Agents in Agent-Based System. IDEAL Chunsheng Li, Chengqi Zhang, Zili Zhang
2003	—	`conf`	An Agent-Based Curve-Digitizing System for Well-Logging Data Management. ITCC Chunsheng Li, Chengqi Zhang, Mei Wang
2003	J	`jnl`	An Agent-Based Hybrid Framework for Database Mining. Appl. Artif. Intell. Zili Zhang, Chengqi Zhang, Shichao Zhang
2003	—	`conf`	An Approach to Digitizing and Managing Well-Logging Parameter Graphs with Agent-Based Perspective. IAT Chunsheng Li, Chengqi Zhang, Mei Wang, Qingfeng Song
2003	C	`conf`	Building Agent-Based Hybrid Intelligent Systems. HIS Zili Zhang, Chengqi Zhang
2003	J	`jnl`	Cooperative Strategy for Web Data Mining and Cleaning. Appl. Artif. Intell. Yuefeng Li, Chengqi Zhang, Shichao Zhang
2003	J	`jnl`	Data Preparation for Data Mining. Appl. Artif. Intell. Shichao Zhang, Chengqi Zhang, Qiang Yang
2003	J	`jnl`	Discovering Associations in Very Large Databases by Approximating. Acta Cybern. Shichao Zhang, Chengqi Zhang
2003	J	`jnl`	Identifying Approximate Itemsets of Interest in Large Databases. Appl. Intell. Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb
2003	—	`conf`	Identifying Frequent Terms in Text Databases by Association Semantics. ITCC Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003	J	`jnl`	Multi-Database Mining. IEEE Intell. Informatics Bull. Shichao Zhang, Xindong Wu, Chengqi Zhang
2003	C	`conf`	Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design. SEKE Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai
2003	—	`conf`	Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design. Software Engineering Research and Practice Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai
2003	J	`jnl`	Post-mining: maintenance of association rules by weighting. Inf. Syst. Shichao Zhang, Chengqi Zhang, Xiaowei Yan
2003	—	`conf`	SCTR: An Approach to Digitizing Welllogging Graphn. Computer Graphics and Imaging Chunsheng Li, Qingfeng Song, Mei Wang, Chengqi Zhang
2003	C	`conf`	Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System. HIS Longbing Cao, Dan Luo, Chao Luo, Chengqi Zhang
2003	J	`jnl`	Temporal Constraint Satisfaction in Matrix Method. Appl. Artif. Intell. Chengqi Zhang, Shichao Zhang, Zili Zhang
2003	C	`conf`	Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System. ISMIS Chunsheng Li, Chengqi Zhang, Longbing Cao
2003	J	`jnl`	Toward Databases Mining: Pre-Processing Collected Data. Appl. Artif. Intell. Xiaowei Yan, Chengqi Zhang, Shichao Zhang
2003	C	`conf`	Verifying the Payment Authorization in SET Protocol. IDEAL Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2003	C	`conf`	Verifying the Purchase Request in SET Protocol. APWeb Qingfeng Chen, Chengqi Zhang, Shichao Zhang, Chunsheng Li
2002	J	`jnl`	A Hybrid Model for Sharing Information Between Fuzzy, Uncertain and Default Reasoning Models in Multi-agent Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Xudong Luo, Chengqi Zhang, Nicholas R. Jennings
2002	C	`conf`	An Agent-Based Framework for Petroleum Information Services from Distributed Heterogeneous Data Resources. APSEC Chengqi Zhang, Chunsheng Li, Zili Zhang
2002	B	`conf`	An Agent-Based Hybrid Intelligent System for Financial Investment Planning. PRICAI Zili Zhang, Chengqi Zhang
2002	—	`conf`	An Application of Fuzzy Cluster analysis to Matchmaking in Middle Agents. FSKD Zili Zhang, Chengqi Zhang
2002	A	`conf`	An improvement to matchmaking algorithms for middle agents. AAMAS Zili Zhang, Chengqi Zhang
2002	J	`jnl`	Anytime mining for multiuser applications. IEEE Trans. Syst. Man Cybern. Part A Shichao Zhang, Chengqi Zhang
2002	C	`conf`	Association Rule Mining by Agents. ICMLA Xiaowei Yan, Chengqi Zhang, Shichao Zhang, John K. Debenham
2002	—	`book`	Association Rule Mining, Models and Algorithms Chengqi Zhang, Shichao Zhang
2002	B	`conf`	Database clustering for mining multi-databases. FUZZ-IEEE Chengqi Zhang, Shichao Zhang
2002	J	`jnl`	Discovering Causality in Large Databases. Appl. Artif. Intell. Shichao Zhang, Chengqi Zhang
2002	J	`jnl`	Encoding probability propagation in belief networks. IEEE Trans. Syst. Man Cybern. Part A Shichao Zhang, Chengqi Zhang
2002	—	`conf`	Identifying Exceptional Patterns in Multi-Databases. FSKD Shichao Zhang, Chengqi Zhang, Xiaowei Yan, Zhenxing Qin
2002	—	`conf`	Mind the Trends When You Mine: Incremental Data Mining. FSKD Chengqi Zhang, Shichao Zhang, Xiaowei Yan, Zhenxing Qin
2002	A*	`conf`	Mining Both Positive and Negative Association Rules. ICML Xindong Wu, Chengqi Zhang, Shichao Zhang
2002	C	`conf`	Mining Very Large Databases Using Software Agents. ICMLA Chengqi Zhang, Xiaowei Yan, Shichao Zhang, Paul Kennedy
2002	J	`jnl`	Propagating Temporal Relations of Intervals by Matrix. Appl. Artif. Intell. Shichao Zhang, Chengqi Zhang
2001	Misc	`conf`	A Logical Framework for Knowledge Sharing in Multi-agent Systems. COCOON Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, Qingfeng Chen
2001	J	`jnl`	A model for compressing probabilities in belief networks. Informatica (Slovenia) Shichao Zhang, Chengqi Zhang
2001	Misc	`conf`	Approaches to implementing decision aggregation in multi-agent systems. CATA Chengqi Zhang, Zili Zhang
2001	—	`conf`	Collecting Quality Data for Database Mining. Australian Joint Conference on Artificial Intelligence Chengqi Zhang, Shichao Zhang
2001	B	`conf`	Estimating Itemsets of Interst by Sampling. FUZZ-IEEE Shichao Zhang, Chengqi Zhang
2001	J	`jnl`	Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: a case study. Int. J. Approx. Reason. Xudong Luo, Chengqi Zhang, Ho-fung Leung
2001	B	`conf`	Mining Small Databases by Collecting Knowledge. DASFAA Shichao Zhang, Chengqi Zhang
2001	—	`conf`	Pattern Discovery in Probabilistic Databases. Australian Joint Conference on Artificial Intelligence Shichao Zhang, Chengqi Zhang
2001	Misc	`conf`	Post-processing of multimedia information - concents, problems, and techniques. CATA Chengqi Zhang, Zili Zhang
2001	—	`conf`	Reasoning with Multimedia Information Using Symbolic Projection. Australian Joint Conference on Artificial Intelligence Zili Zhang, Chengqi Zhang
2000	—	`conf`	Agent-Based Risk Learning for Computing Systems. ICMAS Xiaofeng Wang, Han Kiliççöte, Pradeep K. Khosla, Chengqi Zhang
2000	—	`conf`	An Agent-Based Soft Computing Society. Rough Sets and Current Trends in Computing Chengqi Zhang, Zili Zhang, Ong Swee San
2000	J	`jnl`	An information filtering model on the Web and its application in JobAgent. Knowl. Based Syst. Yuefeng Li, Chengqi Zhang, Jason R. Swan
2000	C	`conf`	Building an Ontology for Financial Investment. IDEAL Zili Zhang, Chengqi Zhang, Swee San Ong
2000	B	`ed.`	Design and Applications of Intelligent Agents, Third Pacific Rim International Workshop on Multi-Agents, PRIMA 2000, Melbourne, Australia, August 28-29, 2000, Proceedings PRIMA Chengqi Zhang, Von-Wun Soo
2000	—	`conf`	Mobile Agents for Admitting New Students to Institutions of China. IS Zili Zhang, Chengqi Zhang, Bin Li
2000	B	`conf`	Perceiving Environments for Intelligent Agents. PRICAI Yuefeng Li, Chengqi Zhang
2000	—	`conf`	Result Fusion in Multi-Agent Systems Based on OWA Operator. ACSC Zili Zhang, Chengqi Zhang
1999	B	`conf`	A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System. PRIMA Xudong Luo, Chengqi Zhang, Ho-fung Leung
1999	—	`conf`	A Serving Agent for Integrating Soft Computing and Software Agents. Australian Joint Conference on Artificial Intelligence Zili Zhang, Chengqi Zhang
1999	J	`jnl`	An Axiom Foundation for Uncertain Reasonings in Rule-Based Expert Systems: NT-Algebra. Knowl. Inf. Syst. Xudong Luo, Chengqi Zhang
1999	B	`ed.`	Approaches to Intelligent Agents, Second Pacific Rim International Workshop on Multi-Agents, PRIMA '99, Kyoto, Japan, December 2-3, 1999, Proceedings PRIMA Hideyuki Nakashima, Chengqi Zhang
1999	J	`jnl`	IMC: A Method for Interval Calculus in Matrix. Knowl. Inf. Syst. Shichao Zhang, Chengqi Zhang
1999	—	`conf`	Information-Based Cooperation in Multiple Agent Systems. Australian Joint Conference on Artificial Intelligence Yuefeng Li, Chengqi Zhang
1999	J	`jnl`	Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design. J. Adv. Comput. Intell. Intell. Informatics Chengqi Zhang, Ling Guan, Zheru Chi
1999	J	`jnl`	Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system. J. Comput. Sci. Technol. Chengqi Zhang, Xudong Luo
1999	J	`jnl`	Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems. IEEE Trans. Knowl. Data Eng. Minjie Zhang, Chengqi Zhang
1999	J	`jnl`	Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions. IEEE Trans. Knowl. Data Eng. Xudong Luo, Chengqi Zhang
1998	B	`conf`	A Neural Network Diagnosis Model without Disorder Independence Assumption. PRICAI Yue Xu, Chengqi Zhang
1998	—	`ed.`	Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications, Based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, Australia, December 1, 1997 Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang
1998	B	`conf`	An efficient and practical diagnosis model. ICTAI Yue Xu, Chengqi Zhang
1998	J	`jnl`	LSLNCF: A Hybrid Uncertain Reasoning Model Based on Probability. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Xudong Luo, Chengqi Zhang
1998	—	`ed.`	Multi-Agent Systems: Theories, Languages, and Applications, 4th Australian Workshop on Distributed Artificial Intelligence, Brisbane, Queensland, Australia, July 13, 1998, Selected Papers DAI Chengqi Zhang, Dickson Lukose
1997	—	`conf`	An Algorithm for Plan Verification in Multiple Agent Systems. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications Chengqi Zhang, Yuefeng Li
1997	—	`ed.`	Multi-Agent Systems: Methodologies and Applications, Second Australian Workshop on Distributed Artificial Intelligence, Cairns, Queensland, Australia, August 27, 1996, Revised Papers DAI Chengqi Zhang, Dickson Lukose
1997	J	`jnl`	The Weighting Issue in Fuzzy Logic. Informatica (Slovenia) Xudong Luo, Chengqi Zhang, Jingqiu Cai
1997	—	`conf`	Transformation between the EMYCIN Model and the Bayesian Network. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications Chengqi Zhang, Xudong Luo
1996	B	`conf`	A Unified Algebraic Structure for Uncertain Reasoning. PRICAI Xudong Luo, Chengqi Zhang
1996	B	`conf`	An Improved Critical Diagnosis Reasoning Method. ICTAI Yue Xu, Chengqi Zhang
1996	—	`conf`	Application of MAS in Implementing Rational IP Routers on the Priced Internet. DAI Hongxia Yang, Chengqi Zhang
1996	—	`ed.`	Distributed Artificial Intelligence: Architecture and Modelling, First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995, Proceedings DAI Chengqi Zhang, Dickson Lukose
1996	—	`conf`	Methodologies of Solution Synthesis in Distributed Expert Systems. DAI Minjie Zhang, Chengqi Zhang
1995	—	`conf`	Definition and Application of a Comprehensive Framework for Distributed Problem Solving. DAI Hongxia Yang, Chengqi Zhang
1995	—	`conf`	Neural Network Strategies for Solving Synthesis Problems in Non-conflilct Cases in Distributed Expert Systems. DAI Minjie Zhang, Chengqi Zhang
1995	—	`conf`	The Consensus of Uncertainties in Distributed Expert Systems. ICMAS Minjie Zhang, Chengqi Zhang
1995	J	`jnl`	The design and implementation of a knowledge-based communication system in a framework for distributed expert systems. IEEE Trans. Commun. Chengqi Zhang
1994	J	`jnl`	Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models. IEEE Trans. Knowl. Data Eng. Chengqi Zhang
1992	J	`jnl`	Cooperation Under Uncertainty in Distributed Expert Systems. Artif. Intell. Chengqi Zhang
1991	J	`jnl`	HECODES: A Framework for Heterogeneous Cooperative Distributed Expert Systems. Data Knowl. Eng. Chengqi Zhang, David A. Bell
1990	J	`jnl`	Description and treatment of deadlocks in the Hecodes distributed expert system. IEEE Trans. Syst. Man Cybern. David A. Bell, Chengqi Zhang
1990	—	`—`	Hecodes: a framework for heterogenous cooperative distributed expert systems Chengqi Zhang