Haiping Ma - RankMe

126 papers A* 25A 7B 3C 2Journal 77Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D temporal-spatial convolutional LSTM network for assessing drug addiction treatment. Pattern Recognit. Haiping Ma, Jiyuan Huang, Chenxu Shen, Jin Liu, Qingming Liu
2026	J	`jnl`	A comprehensive review on deep learning for multi-objective optimization. Swarm Evol. Comput. Haiping Ma, Jin Liu, Jiajun Li, Junhan Jia
2026	—	`conf`	Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective. KDD (1) Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang
2026	J	`jnl`	Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective. CoRR Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang
2026	J	`jnl`	DRUM: Distributionally robust optimization for LLM-based user model in interactive recommendation. Inf. Process. Manag. Huiting Liu, Yao Quan, Zirui Wang, Haiping Ma, Xindong Wu
2026	A*	`conf`	Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder. AAAI Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026	J	`jnl`	Maximum correntropy smoothers based on information theoretic learning in non-Gaussian environments. Trans. Inst. Meas. Control Haiping Ma, Ting Liu, Yajing Zhang, Minrui Fei, Huiyu Zhou
2026	A*	`conf`	PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing. AAAI Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026	J	`jnl`	Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware General Neural Network Framework. ACM Trans. Intell. Syst. Technol. Ziwen Wang, Jingyuan Wang, Haiping Ma, Hengshu Zhu, Shangshang Yang, Xiaoshan Yu, Shuhuan Liu, Haifeng Zhang, Xingyi Zhang
2026	J	`jnl`	Temporal-spatial-frequency fusion based graph transformer for assessing treatment of methamphetamine use disorder. Expert Syst. Appl. Haiping Ma, Junhan Jia, Jiajun Li, Baogen Jin, Zheheng Jiang
2026	J	`jnl`	Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions. CoRR Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2025	J	`jnl`	A nonrevisiting genetic algorithm based on multi-region guided search strategy. Complex Intell. Syst. Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang
2025	A*	`conf`	AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis. AAAI Haiping Ma, Yue Yao, Changqian Wang, Siyu Song, Yong Yang
2025	J	`jnl`	An Evolutionary Multiobjective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education. IEEE Trans. Evol. Comput. Shangshang Yang, Haiping Ma, Ying Bi, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
2025	J	`jnl`	An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations. IEEE Trans. Artif. Intell. Ye Tian, Luke Ji, Yiwei Hu, Haiping Ma, Le Wu, Xingyi Zhang
2025	—	`conf`	Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing. KDD (1) Haiping Ma, Aoqing Xia, Changqian Wang, Hai Wang, Xingyi Zhang
2025	A*	`conf`	Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. IJCAI Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian
2025	A*	`conf`	Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. AAAI Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin
2025	—	`conf`	Exploring Exercises Selection Methods for Computerized Adaptive Testing Based on Large Language Models. BESC (3) Tianle Li, Hai Wang, Haiping Ma
2025	J	`jnl`	FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework. CoRR Shangshang Yang, Jialin Han, Xiaoshan Yu, Ziwen Wang, Hao Jiang, Haiping Ma, Xingyi Zhang, Geyong Min
2025	J	`jnl`	Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. ACM Trans. Manag. Inf. Syst. Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
2025	A*	`conf`	LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. SIGIR Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang
2025	—	`conf`	Learning Patterns-Guided Data Generation for Knowledge Tracing. KDD (2) Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang
2025	J	`jnl`	PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing. CoRR Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2025	A*	`conf`	Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. SIGIR Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang
2025	—	`conf`	Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. KDD (2) Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang
2025	J	`jnl`	Retinex-inspired underwater image enhancement with information entropy smoothing and non-uniform illumination priors. Pattern Recognit. Haiping Ma, Jiyuan Huang, Chenxu Shen, Zheheng Jiang
2025	A*	`conf`	Spatial-Temporal Analysis of Collective Emotional Resonance in China During Global Health Crisis. WWW Limiao Zhang, Xinyang Qi, Haiping Ma, Jie Gao, Xingyi Zhang, Yanqing Hu, Yaochu Jin
2024	A*	`conf`	DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. IJCAI Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu
2024	A*	`conf`	DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. ICDM Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024	J	`jnl`	DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. CoRR Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024	J	`jnl`	Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing. CoRR Haiping Ma, Aoqing Xia, Changqian Wang, Hai Wang, Xingyi Zhang
2024	A*	`conf`	DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis. NeurIPS Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
2024	J	`jnl`	DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis. CoRR Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
2024	A*	`conf`	Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. AAAI Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang
2024	A*	`conf`	HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. WWW Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu
2024	J	`jnl`	Model analysis and application case for complex multi-system evolutionary optimization. Evol. Intell. Haiping Ma, Shengyi Sun, Dawei Du, Dan Simon
2024	J	`jnl`	Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings. ACM Trans. Intell. Syst. Technol. Haoyang Bi, Qi Liu, Han Wu, Weidong He, Zhenya Huang, Yu Yin, Haiping Ma, Yu Su, Shijin Wang, Enhong Chen
2024	J	`jnl`	Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy. IEEE Trans. Emerg. Top. Comput. Intell. Dayu Tan, Zhiyuan Yao, Xin Peng, Haiping Ma, Yike Dai, Yansen Su, Weimin Zhong
2024	J	`jnl`	Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints. IEEE Trans. Neural Networks Learn. Syst. Yajie Zhang, Hao Jiang, Ye Tian, Haiping Ma, Xingyi Zhang
2024	J	`jnl`	RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Trans. Knowl. Data Eng. Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. KDD Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024	J	`jnl`	RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. CoRR Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024	J	`jnl`	ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2024	J	`jnl`	Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
2024	J	`jnl`	Temporal-Spatial Conversion Based Sequential Convolutional LSTM Architecture for Detecting Drug Addiction. IEEE Signal Process. Lett. Haiping Ma, Jiuyi Yao, Jiyuan Huang, Weijia Zhang, Zheheng Jiang
2024	J	`jnl`	Weighted multi-error information entropy based you only look once network for underwater object detection. Eng. Appl. Artif. Intell. Haiping Ma, Yajing Zhang, Shengyi Sun, Weijia Zhang, Minrui Fei, Huiyu Zhou
2023	J	`jnl`	A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems. J. Comput. Sci. Technol. Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su
2023	J	`jnl`	A Search Space Reduction-Based Progressive Evolutionary Algorithm for Influence Maximization in Social Networks. IEEE Trans. Comput. Soc. Syst. Lei Zhang, Kaicong Ma, Haipeng Yang, Cheng Zhang, Haiping Ma, Qi Liu
2023	J	`jnl`	A comprehensive survey on NSGA-II for multi-objective optimization and applications. Artif. Intell. Rev. Haiping Ma, Yajing Zhang, Shengyi Sun, Ting Liu, Yu Shan
2023	J	`jnl`	A novel computerized adaptive testing framework with decoupled learning selector. Complex Intell. Syst. Haiping Ma, Yi Zeng, Shangshang Yang, Chuan Qin, Xingyi Zhang, Limiao Zhang
2023	J	`jnl`	A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization. Swarm Evol. Comput. Ye Tian, Jiaxing Hu, Cheng He, Haiping Ma, Limiao Zhang, Xingyi Zhang
2023	—	`conf`	Balancing Measurement Efficiency, Test Diversity and Security for Item Selection in On-the-Fly Assembled Multistage Adaptive Testing via a Multi-objective Evolutionary Algorithm. ICSI (1) Xiaoshu Xiang, Ling Wu, Haiping Ma, Xingyi Zhang
2023	J	`jnl`	Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin
2023	J	`jnl`	Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2023	J	`jnl`	Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search. CoRR Shangshang Yang, Haiping Ma, Cheng Zhen, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang
2023	J	`jnl`	Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach. CoRR Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang
2023	A*	`conf`	Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing. NeurIPS Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
2023	J	`jnl`	Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing. CoRR Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
2023	A	`conf`	Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. CIKM Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang
2023	J	`jnl`	Non-Uniform Illumination Underwater Image Enhancement via Minimum Weighted Error Entropy Loss. IEEE Signal Process. Lett. Haiping Ma, Shengyi Sun, Senggang Ye, Zheheng Jiang
2023	—	`conf`	Posture Detection Based on Kinect and YOLO Technologies. RICAI Yulin Li, Weijia Zhang, Haiping Ma, Feiyu Chen, Dongqin Sun, Xue Cheng, Yuan Zheng, Zhaowei Wang, Shaomin Cai
2023	A*	`conf`	ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. ICDM Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2023	J	`jnl`	SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation. CoRR Feiyu Chen, Haiping Ma, Weijia Zhang
2022	A	`conf`	A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. CIKM Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao
2022	J	`jnl`	CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations. IEEE Trans. Evol. Comput. Hongke Zhao, Xinpeng Wu, Chuang Zhao, Lei Zhang, Haiping Ma, Fan Cheng
2022	A*	`conf`	Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. AAAI Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma
2022	J	`jnl`	Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization. IEEE CAA J. Autom. Sinica Ye Tian, Haowen Chen, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022	A	`conf`	Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. CIKM Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao
2022	J	`jnl`	Multi-system genetic algorithm for complex system optimization. Soft Comput. Haiping Ma, Yu Shan, Jinglin Wang, Xiaolei Chen, Zhile Yang, Dan Simon
2022	A*	`conf`	Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. IJCAI Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang
2022	J	`jnl`	SWIPENET: Object detection in noisy underwater scenes. Pattern Recognit. Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning Li, Haiping Ma, Xin Wang, Huiyu Zhou
2021	J	`jnl`	A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Ye Tian, Ruchen Liu, Xingyi Zhang, Haiping Ma, Kay Chen Tan, Yaochu Jin
2021	J	`jnl`	A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting. Complex. Yanhui Zhang, Shili Lin, Haiping Ma, Yuanjun Guo, Wei Feng
2021	J	`jnl`	A local-to-global scheme-based multi-objective evolutionary algorithm for overlapping community detection on large-scale complex networks. Neural Comput. Appl. Haiping Ma, Haipeng Yang, Kefei Zhou, Lei Zhang, Xingyi Zhang
2021	J	`jnl`	A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. Inf. Sci. Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang
2021	J	`jnl`	Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks. Knowl. Based Syst. Haiping Ma, Zhenjie Liu, Xingyi Zhang, Lei Zhang, Hao Jiang
2021	A	`conf`	Federated Deep Knowledge Tracing. WSDM Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang
2021	A*	`conf`	Privileged Graph Distillation for Cold Start Recommendation. SIGIR Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
2021	J	`jnl`	Privileged Graph Distillation for Cold Start Recommendation. CoRR Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
2021	J	`jnl`	Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. CoRR Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
2020	J	`jnl`	A Multipopulation-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. Haiping Ma, Minrui Fei, Zheheng Jiang, Ling Li, Huiyu Zhou, Danny Crookes
2020	B	`conf`	An Overlapping Community Detection Based Multi-Objective Evolutionary Algorithm for Diversified Social Influence Maximization. CEC Lei Zhang, Fengiiao Sun, Fan Cheng, Haiping Ma, Xiaoyan Sun
2020	A*	`conf`	Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. SIGIR Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang
2020	—	`conf`	Design Optimization of Plate-Fin Heat Exchanger Using Sine Cosine Algorithm. NCAA Tianyu Hu, Lidong Zhang, Zhile Yang, Yuanjun Guo, Haiping Ma
2020	J	`jnl`	Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu
2020	J	`jnl`	Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma
2020	J	`jnl`	Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing. Complex. Haiping Ma, Chao Sun, Jinglin Wang, Zhile Yang, Huiyu Zhou
2020	A*	`conf`	Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. ICDM Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
2020	J	`jnl`	SWIPENET: Object detection in noisy underwater images. CoRR Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning Li, Haiping Ma, Xin Wang, Huiyu Zhou
2020	A*	`conf`	Structure-based Knowledge Tracing: An Influence Propagation View. ICDM Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang
2019	J	`jnl`	Context-Aware Mouse Behavior Recognition Using Hidden Markov Models. IEEE Trans. Image Process. Zheheng Jiang, Danny Crookes, Brian Desmond Green, Yunfeng Zhao, Haiping Ma, Ling Li, Shengping Zhang, Dacheng Tao, Huiyu Zhou
2019	A	`conf`	DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. CIKM Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu
2019	A*	`conf`	Exploiting Cognitive Structure for Adaptive Learning. KDD Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
2019	J	`jnl`	Exploiting Cognitive Structure for Adaptive Learning. CoRR Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
2019	J	`jnl`	Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey. Swarm Evol. Comput. Haiping Ma, Shigen Shen, Mei Yu, Zhile Yang, Minrui Fei, Huiyu Zhou
2018	—	`conf`	A Fast Hybrid Meta-Heuristic Algorithm for Economic/Environment Unit Commitment with Renewables and Plug-In Electric Vehicles. ICSI (1) Zhile Yang, Qun Niu, Yuanjun Guo, Haiping Ma, Boyang Qu
2018	B	`conf`	A Novel Binary Jaya Optimization for Economic/Emission Unit Commitment. CEC Zhile Yang, Yuanjun Guo, Qun Niu, Haiping Ma, Yimin Zhou, Li Zhang
2018	J	`jnl`	Compact real-valued teaching-learning based optimization with the applications to neural network training. Knowl. Based Syst. Zhile Yang, Kang Li, Yuanjun Guo, Haiping Ma, Min Zheng
2018	J	`jnl`	Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems. Complex. Yadong Yu, Haiping Ma, Mei Yu, Sengang Ye, Xiaolei Chen
2017	J	`jnl`	A non-cooperative non-zero-sum game-based dependability assessment of heterogeneous WSNs with malware diffusion. J. Netw. Comput. Appl. Shigen Shen, Haiping Ma, En Fan, Keli Hu, Shui Yu, Jianhua Liu, Qiying Cao
2017	A	`conf`	An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. CIKM Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen
2017	J	`jnl`	Biogeography-Based Optimization: A 10-Year Review. IEEE Trans. Emerg. Top. Comput. Intell. Haiping Ma, Dan Simon, Patrick Siarry, Zhile Yang, Minrui Fei
2017	J	`jnl`	Conceptual and numerical comparisons of swarm intelligence optimization algorithms. Soft Comput. Haiping Ma, Sengang Ye, Dan Simon, Minrui Fei
2017	J	`jnl`	Interactive Markov Models of Optimization Search Strategies. IEEE Trans. Syst. Man Cybern. Syst. Haiping Ma, Dan Simon, Minrui Fei, Hongwei Mo
2017	—	`conf`	Optimal Battery Charging Strategy Based on Complex System Optimization. LSMS/ICSEE (3) Haiping Ma, Pengcheng You, Kailong Liu, Zhile Yang, Minrui Fei
2016	J	`jnl`	Biogeography-based optimization for identifying promising compounds in chemical process. Neurocomputing Haiping Ma, Minrui Fei, Zhile Yang
2016	A*	`conf`	Sparse Factorization Machines for Click-through Rate Prediction. ICDM Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin
2016	J	`jnl`	Statistical Mechanics Approximation of Biogeography-Based Optimization. Evol. Comput. Haiping Ma, Dan Simon, Minrui Fei
2015	J	`jnl`	Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling. Eng. Appl. Artif. Intell. Haiping Ma, Shufei Su, Dan Simon, Minrui Fei
2015	C	`conf`	Mining User's Location Intention from Mobile Search Log. KSEM Yifan Sun, Xin Li, Lin Li, Qi Liu, Enhong Chen, Haiping Ma
2014	J	`jnl`	Hybrid biogeography-based evolutionary algorithms. Eng. Appl. Artif. Intell. Haiping Ma, Dan Simon, Minrui Fei, Xinzhan Shu, Zixiang Chen
2013	J	`jnl`	A Survey of Context-Aware Mobile Recommendations. Int. J. Inf. Technol. Decis. Mak. Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong
2013	J	`jnl`	On the equivalences and differences of evolutionary algorithms. Eng. Appl. Artif. Intell. Haiping Ma, Dan Simon, Minrui Fei, Zixiang Chen
2013	C	`conf`	Random Walk with Pre-filtering for Social Link Prediction. CIS Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu
2013	J	`jnl`	Variations of biogeography-based optimization and Markov analysis. Inf. Sci. Haiping Ma, Dan Simon, Minrui Fei, Zhikun Xie
2012	A*	`conf`	A habit mining approach for discovering similar mobile users. WWW Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian
2012	B	`conf`	Biogeography-based optimization with ensemble of migration models for global numerical optimization. IEEE Congress on Evolutionary Computation Haiping Ma, Minrui Fei, Zhiguo Ding, Jing Jin
2012	J	`jnl`	Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. Neurocomputing Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong
2011	J	`jnl`	Analysis of migration models of biogeography-based optimization using Markov theory. Eng. Appl. Artif. Intell. Haiping Ma, Dan Simon
2011	J	`jnl`	Blended biogeography-based optimization for constrained optimization. Eng. Appl. Artif. Intell. Haiping Ma, Dan Simon
2011	J	`jnl`	Exploiting probabilistic topic models to improve text categorization under class imbalance. Inf. Process. Manag. Enhong Chen, Yanggang Lin, Hui Xiong, Qiming Luo, Haiping Ma
2010	J	`jnl`	An analysis of the equilibrium of migration models for biogeography-based optimization. Inf. Sci. Haiping Ma
2010	A	`conf`	Biogeography-based optimization with blended migration for constrained optimization problems. GECCO Haiping Ma, Dan Simon
2009	—	`conf`	Delay-dependent robust H CDC Man Sun, Suhong Ni, Haiping Ma
2009	—	`conf`	Equilibrium species counts and migration model tradeoffs for biogeography-based optimization. CDC Haiping Ma, Suhong Ni, Man Sun