| 2026 | CHI | Interaction as Intelligence: A Transparent, Fine-Grained Multi-Agent Deep Research System for Human-Agent Collaboration. | Lyumanshan Ye, Xiaojie Cai, Xinkai Wang, Junfei Wang, Yuxiang Zheng, Xiangkun Hu, Tianze Xu, Dayuan Fu, Pengrui Lu, Yang Nan, Jiadi Su, Yunze Wu, Pengfei Liu |
| 2025 | ACL | Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. | Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | CEC | Shape of Feasible Regions of Real-World Multi-Objective Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2025 | CEC | On the Quality of Large Non-dominated Archives. | Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | COLING | Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. | Yuming Yang, Wantong Zhao, Caishuang Huang, Junjie Ye, Xiao Wang, Huiyuan Zheng, Yang Nan, Yuran Wang, Xueying Xu, Kaixin Huang, Yunke Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? | Yang Nan, Pengfei He, Ravi Tandon, Han Xu |
| 2025 | EMNLP | Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels. | Junjie Ye, Yuming Yang, Yang Nan, Shuo Li, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan |
| 2025 | EMO | Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems. | Yang Nan, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Small Population Size is Enough in Many Cases with External Archives. | Yang Nan, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan |
| 2025 | EMO | Numerical Analysis of Pareto Set Modeling. | Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | FOGA | Optimal Distributions of Solutions for Maximizing the Minimum Crowding Distance for Two-Objective and Three-Objective Linear Pareto Fronts: Search Behavior Analysis of NSGA-II. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | GECCO | R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2025 | GECCO | Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization Problems. | Yanyu Chen, Hisao Ishibuchi, Yang Nan |
| 2025 | GECCO | Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms. | Jinglin Wang, Hongyu Zhu, Yang Nan, Hisao Ishibuchi |
| 2025 | IJCNN | Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. | Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang |
| 2025 | PRICAI | Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems. | Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | SMC | Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Longcan Chen |
| 2025 | UAI | A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets. | Shiyi Wang, Yang Nan, Xiaodan Xing, Yingying Fang, Simon L. F. Walsh, Guang Yang |
| 2024 | CEC | Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2024 | CEC | Interactive Final Solution Selection in Multi-Objective Optimization. | Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | CEC | Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2024 | GECCO | Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | GECCO | Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | GECCO | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | IJCAI | Learning Pareto Set for Multi-Objective Continuous Robot Control. | Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi |
| 2024 | MICCAI | Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation. | Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang |
| 2024 | PPSN | Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong |
| 2024 | SMC | On the use of the Total Constraint Violation as an Additional Objective in Evolutionary Multi-Objective Optimization. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Cheng Gong |
| 2024 | SMC | GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network. | Guotong Wu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2023 | CBMS | The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? | Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang |
| 2023 | CEC | Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. | Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2023 | EMO | Preference-Based Nonlinear Normalization for Multiobjective Optimization. | Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | EMO | Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2023 | EMO | Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2023 | EMO | Partially Degenerate Multi-objective Test Problems. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. | Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. | Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | GECCO | Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2023 | MICCAI | You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. | Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang |
| 2023 | SMC | Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. | Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2023 | SMC | Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang |
| 2023 | SMC | How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2022 | MICCAI | CS | Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang |
| 2022 | PPSN | Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. | Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi |
| 2021 | CEC | A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. | Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 2021 | GECCO | Distance-based subset selection revisited. | Ke Shang, Hisao Ishibuchi, Yang Nan |
| 2021 | SMC | Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. | Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 2021 | SMC | Reference Point Specification for Greedy Hypervolume Subset Selection. | Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan |
| 2020 | GECCO | What is a good direction vector set for the R2-based hypervolume contribution approximation. | Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2017 | ICNC | A network performance evaluation method based on objective weights determination for data center network. | Xiaofeng Shang, Lin Chen, Yang Nan |
| 2016 | VTC | An Efficient Downlink Channel Estimation Approach for TDD Massive MIMO Systems. | Yang Nan, Li Zhang, Xin Sun |
| 2012 | ICNC | A generalized integral computation method based on evolution strategy. | Guo De-long, Yang Nan |