| 2026 | ACL | NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons. | Haonan Dong, Kehan Jiang, Haoran Ye, Wenhao Zhu, Zhaolu Kang, Guojie Song |
| 2026 | ACL | From Pseudo-Balancing to True Specialization: Memory-Aware Routing for Mixture-of-Experts. | Peixuan Hou, Yunbo Hou, Bin Chen, Li He, Jian Xu, Weiping Li, Bo Zheng, Guojie Song |
| 2026 | ACL | FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models. | Kehan Jiang, Haonan Dong, Zhaolu Kang, Zhengzhou Zhu, Guojie Song |
| 2026 | ACL | Context-Value-Action Architecture for Value-Driven Large Language Model Agents. | Tianze Zhang, Sirui Sun, Yuhang Xie, Xin Zhang, Zhiqiang Wu, Guojie Song |
| 2026 | PAKDD | DeltaAug: A Directional Semantic Data Augmentation Framework Guided by Differential Reasoning. | Wenhao Chen, He Li, Gang Shen, Rundong Cao, Guojie Song |
| 2026 | PAKDD | Semantic-Driven Object Placement via Multi-modal Large Language Models. | Xuzheng Chen, Gang Shen, Rundong Cao, Guojie Song |
| 2026 | PAKDD | TSGI-SM: Text-Subject-Guided Image Inpainting via Sketch Mediation. | Peixuan Hou, Jintao Zhu, Gang Shen, Wenjun Ma, Rundong Cao, Guojie Song |
| 2026 | WSDM | Addressing Aggregation-Induced Information Loss in Graph Neural Networks. | Wenhao Zhu, Haonan Dong, Guojie Song, Zhengzhou Zhu |
| 2025 | AAAI | Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models. | Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie Song |
| 2025 | ACL | Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models. | Haoran Ye, Tianze Zhang, Yuhang Xie, Liyuan Zhang, Yuanyi Ren, Xin Zhang, Guojie Song |
| 2025 | CIKM | Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity. | Qin Chen, Guojie Song |
| 2025 | IJCAI | EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs. | Wenhao Zhu, Yuhang Xie, Guojie Song, Xin Zhang |
| 2025 | KDD | RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. | Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, Andr Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park |
| 2025 | KDD | TransPlace: Transferable Circuit Global Placement via Graph Neural Network. | Yunbo Hou, Haoran Ye, Shuwen Yang, Yingxue Zhang, Siyuan Xu, Guojie Song |
| 2025 | WWW | DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach. | Qin Chen, Liang Wang, Bo Zheng, Guojie Song |
| 2024 | ACL | ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models. | Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song |
| 2024 | ECAI | Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. | Lingjun Xu, Haowen Li, Guojie Song, Liang Wang, Bo Zheng |
| 2024 | IJCAI | AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. | Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu |
| 2024 | KDD | RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network. | Yunbo Hou, Haoran Ye, Yingxue Zhang, Siyuan Xu, Guojie Song |
| 2023 | CIKM | Dual-Process Graph Neural Network for Diversified Recommendation. | Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao |
| 2023 | ICMLC | A CNN Based Physical Constraint Modifier Model for Reflectivity Inversion. | Yun-Peng Shi, Chang-Zhong Wang, Shulin Pan, Guojie Song, Fan Min |
| 2023 | IJCAI | KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. | Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu |
| 2023 | IJCAI | Hierarchical Transformer for Scalable Graph Learning. | Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang |
| 2023 | KDD | On Structural Expressive Power of Graph Transformers. | Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | WWW | Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. | Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan |
| 2023 | WWW | Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. | Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | SIGIR | Continual Learning on Dynamic Graphs via Parameter Isolation. | Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim |
| 2022 | CIKM | Taxonomy-Enhanced Graph Neural Networks. | Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu |
| 2022 | ICDM | Invariant Factor Graph Neural Networks. | Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang |
| 2022 | KDD | Streaming Graph Neural Networks with Generative Replay. | Junshan Wang, Wenhao Zhu, Guojie Song, Liang Wang |
| 2022 | WWW | Polarized Graph Neural Networks. | Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang |
| 2022 | WWW | Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. | Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang |
| 2021 | AAAI | GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. | Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang |
| 2021 | AAAI | Heterogeneous Graph Structure Learning for Graph Neural Networks. | Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye |
| 2021 | CIKM | LEReg: Empower Graph Neural Networks with Local Energy Regularization. | Xiaojun Ma, Hanyue Chen, Guojie Song |
| 2021 | ICLR | Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. | Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai |
| 2021 | KDD | Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. | Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie |
| 2021 | KDD | HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. | Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song |
| 2021 | WWW | Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. | Qingqing Long, Yilun Jin, Yi Wu, Guojie Song |
| 2021 | WWW | Improving Graph Neural Networks with Structural Adaptive Receptive Fields. | Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song |
| 2021 | WWW | Lorentzian Graph Convolutional Networks. | Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song |
| 2021 | SDM | Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. | Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu |
| 2020 | AAAI | Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. | Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song |
| 2020 | AAAI | GraLSP: Graph Neural Networks with Local Structural Patterns. | Yilun Jin, Guojie Song, Chuan Shi |
| 2020 | AAAI | Multi-Component Graph Convolutional Collaborative Filtering. | Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li |
| 2020 | ADMA | Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts. | Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song |
| 2020 | CIKM | Streaming Graph Neural Networks via Continual Learning. | Junshan Wang, Guojie Song, Yi Wu, Liang Wang |
| 2020 | ECAI | EPNE: Evolutionary Pattern Preserving Network Embedding. | Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma |
| 2020 | ICDM | Learning Node Representations from Noisy Graph Structures. | Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi |
| 2020 | IJCAI | Domain Adaptive Classification on Heterogeneous Information Networks. | Shuwen Yang, Guojie Song, Yilun Jin, Lun Du |
| 2020 | KDD | Graph Structural-topic Neural Network. | Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin |
| 2020 | WWW | Active Domain Transfer on Network Embedding. | Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin |
| 2019 | AAAI | SepNE: Bringing Separability to Network Embedding. | Ziyao Li, Liang Zhang, Guojie Song |
| 2019 | CIKM | Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. | Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin |
| 2019 | IJCAI | GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks. | Ziyao Li, Liang Zhang, Guojie Song |
| 2019 | IJCAI | Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. | Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun |
| 2019 | IJCAI | DANE: Domain Adaptive Network Embedding. | Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin |
| 2019 | WWW | Tag2Vec: Learning Tag Representations in Tag Networks. | Junshan Wang, Zhicong Lu, Guojie Song, Yue Fan, Lun Du, Wei Lin |
| 2018 | AAAI | Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network. | Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi |
| 2018 | CIKM | MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. | Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Fengmei Jin, Guojie Song, Yutao Zhang |
| 2018 | ICDM | Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. | Yizhou Zhang, Xiaojun Ma, Guojie Song |
| 2018 | IJCAI | Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. | Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen |
| 2018 | IJCAI | Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. | Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang |
| 2017 | AAAI | StructInf: Mining Structural Influence from Social Streams. | Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |
| 2016 | APWEB | Budget Minimization with Time and Influence Constraints in Social Network. | Peng Dou, Sizhen Du, Guojie Song |
| 2016 | SDM | Routine Mining Based Anomaly Detection in Mobile Phone Data. | Tian Qin, Guojie Song, Sizhen Du |
| 2015 | IJCNN | Improving deep neural network ensembles using reconstruction error. | Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie |
| 2015 | IJCNN | Probabilistic dynamic causal model for temporal data. | Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song, Kunqing Xie |
| 2015 | SDM | On Influential Nodes Tracking in Dynamic Social Networks. | Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie |
| 2014 | AAAI | Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. | Lei Han, Yu Zhang, Guojie Song, Kunqing Xie |
| 2014 | IJCNN | Deep process neural network for temporal deep learning. | Wenhao Huang, Haikun Hong, Guojie Song, Kunqing Xie |
| 2014 | IJCNN | Dynamic boosting in deep learning using reconstruction error. | Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song, Kunqing Xie |
| 2014 | ISNN | Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting. | Haikun Hong, Wenhao Huang, Guojie Song, Kunqing Xie |
| 2013 | ADMA | Deep Architecture for Traffic Flow Prediction. | Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie |
| 2012 | ISNN | An Adaption of Relief for Redundant Feature Elimination. | Tianshu Wu, Kunqing Xie, Chengkai Nie, Guojie Song |
| 2012 | KDD | Overlapping decomposition for causal graphical modeling. | Lei Han, Guojie Song, Gao Cong, Kunqing Xie |
| 2012 | SDM | Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model. | Xinran He, Guojie Song, Wei Chen, Qingye Jiang |
| 2011 | AAAI | Simulated Annealing Based Influence Maximization in Social Networks. | Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie |
| 2011 | ADMA | Transportation Modes Identification from Mobile Phone Data Using Probabilistic Models. | Dafeng Xu, Guojie Song, Peng Gao, Rongzeng Cao, Xinwei Nie, Kunqing Xie |
| 2011 | APWEB | Discrete Trajectory Prediction on Mobile Data. | Nan Zhao, Wenhao Huang, Guojie Song, Kunqing Xie |
| 2010 | ADMA | Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data. | Wenhao Huang, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song, Guanhua Chen, Yun Jiang, Kunqing Xie |
| 2010 | KDD | Community-based greedy algorithm for mining top-K influential nodes in mobile social networks. | Yu Wang, Gao Cong, Guojie Song, Kunqing Xie |
| 2009 | ISNN | Numerical Learning Method for Process Neural Network. | Tianshu Wu, Kunqing Xie, Guojie Song, Xingui He |
| 2008 | APWEB | Squeezing Long Sequence Data for Efficient Similarity Search. | Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang |
| 2008 | ISNN | Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network. | Shan He, Cheng Hu, Guojie Song, Kunqing Xie, Yizhou Sun |
| 2007 | DASFAA | CLAIM: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data. | Guojie Song, Dongqing Yang, Bin Cui, Baihua Zheng, Yunfeng Liu, Kunqing Xie |
| 2007 | DASFAA | An Optimized Process Neural Network Model. | Guojie Song, Dongqing Yang, Yunfeng Liu, Bin Cui, Ling Wu, Kunqing Xie |
| 2006 | ICDM | A Mixed Process Neural Network and its Application to Churn Prediction in Mobile Communications. | Guojie Song, Dongqing Yang, Ling Wu, Tengjiao Wang, Shiwei Tang |