| 2026 | AAAI | UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization. | Cuiqun Chen, Qi Chen, Bin Yang, Xingyi Zhang |
| 2026 | AAAI | Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification. | Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng |
| 2026 | AAAI | QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching. | Ke Xu, Yixin Wang, Zhongcheng Li, Hao Cui, Jinshui Hu, Xingyi Zhang |
| 2026 | AAAI | Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder. | Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang |
| 2026 | AAAI | PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing. | Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang |
| 2026 | KDD | Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective. | Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang |
| 2025 | AAAI | Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. | Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin |
| 2025 | CEC | Surrogate Models are not Necessary for Black-Box Expensive Optimization. | Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He |
| 2025 | CEC | An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization. | Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang |
| 2025 | CEC | Evolutionary Asynchronous Optimization-A Novel Optimization Paradigm for Non-contact Voltage Measurement. | Ye Tian, Cheng He, Endi Cao, Yonglin He, Xingyi Zhang |
| 2025 | CHI | LoveSims: Exploring 'What-If' Scenarios for Relationship Insights and Compatibility. | Mateo Larrea, Xingyi Zhang, Xuyang Zhu |
| 2025 | ICLR | SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels. | Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo Wang |
| 2025 | INDIN | Hydrological Information Extraction from Historical Maps Using SAM large model and Mathematical Morphology. | Yang Shen, Yuanying Ke, Tiankun Li, Feng Huang, Weihui Liu, Xingyi Zhang, Zhenhua Zhong, Fei Zhao |
| 2025 | KDD | Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. | Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang |
| 2025 | KDD | Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection. | Xiping Li, Xiangyu Dong, Xingyi Zhang, Kun Xie, Yuanhao Feng, Bo Wang, Guilin Li, Wuxiong Zeng, Xiujun Shu, Sibo Wang |
| 2025 | KDD | Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing. | Haiping Ma, Aoqing Xia, Changqian Wang, Hai Wang, Xingyi Zhang |
| 2025 | KDD | Learning Patterns-Guided Data Generation for Knowledge Tracing. | Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang |
| 2025 | WWW | SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection. | Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang |
| 2025 | WWW | Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator. | Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang |
| 2025 | WWW | Spatial-Temporal Analysis of Collective Emotional Resonance in China During Global Health Crisis. | Limiao Zhang, Xinyang Qi, Haiping Ma, Jie Gao, Xingyi Zhang, Yanqing Hu, Yaochu Jin |
| 2025 | SIGIR | LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. | Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang |
| 2025 | SIGIR | Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. | Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang |
| 2024 | AAAI | Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. | Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang |
| 2024 | AAAI | Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling. | Shanshan Wang, Zhen Zeng, Xun Yang, Ke Xu, Xingyi Zhang |
| 2024 | AAAI | PTMQ: Post-training Multi-Bit Quantization of Neural Networks. | Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang |
| 2024 | CEC | Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization. | Ye Tian, Lianjie Yao, Shuai Shao, Yajie Zhang, Xingyi Zhang |
| 2024 | CEC | A Deep Reinforcement Learning Assisted Heuristic for Solving Traveling Salesman Problems. | Ye Tian, Qinghui Zhu, Shuai Shao, Langchun Si, Xingyi Zhang |
| 2024 | CEC | Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms. | Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang |
| 2024 | ICDM | DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. | Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu |
| 2024 | ICLR | Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection. | Xiangyu Dong, Xingyi Zhang, Sibo Wang |
| 2024 | IJCAI | DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. | Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu |
| 2024 | IJCNN | Self-Training with Contrastive Learning for Adversarial Domain Adaptation. | Shanshan Wang, Minbin Hu, Xingyi Zhang |
| 2024 | KDD | RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. | Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang |
| 2024 | WWW | Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective. | Xingyi Zhang, Zixuan Weng, Sibo Wang |
| 2024 | WWW | HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. | Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu |
| 2023 | AAAI | Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis. | Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang |
| 2023 | CEC | Optimizing Large-Scale Distribution Center Locations During the COVID-19 Quarantine. | Luchen Wang, Ye Tian, Xiaoshu Xiang, Xingyi Zhang |
| 2023 | CIKM | Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. | Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang |
| 2023 | ICCV | EQ-Net: Elastic Quantization Neural Networks. | Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang |
| 2023 | ICDM | ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. | Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu |
| 2023 | KDD | Constrained Social Community Recommendation. | Xingyi Zhang, Shuliang Xu, Wenqing Lin, Sibo Wang |
| 2022 | CEC | A Comparative Study on Evolutionary Algorithms and Mathematical Programming Methods for Continuous Optimization. | Ye Tian, Haowen Chen, Xiaoshu Xiang, Hao Jiang, Xingyi Zhang |
| 2022 | CIKM | Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. | Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao |
| 2022 | CIKM | A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. | Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao |
| 2022 | IJCAI | Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. | Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang |
| 2022 | IJCAI | MultiQuant: Training Once for Multi-bit Quantization of Neural Networks. | Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang |
| 2021 | EMO | A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-objective Optimization Problems. | Yajie Zhang, Ye Tian, Xingyi Zhang |
| 2021 | KDD | Learning Based Proximity Matrix Factorization for Node Embedding. | Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang |
| 2020 | CEC | Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. | Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang |
| 2020 | CEC | Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. | Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin |
| 2019 | CEC | Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. | Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin |
| 2018 | CEC | Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. | Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin |
| 2016 | CEC | An improved reference point sampling method on Pareto optimal front. | Cheng He, Linqiang Pan, Hang Xu, Ye Tian, Xingyi Zhang |
| 2016 | CEC | A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. | Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin |