Li, Jianxin

57 publications

IJCAI 2025 A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions Zihan Yang, Xiaohui Tao, Taotao Cai, Yifu Tang, Haoran Xie, Lin Li, Jianxin Li, Qing Li
NeurIPS 2025 Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang
CVPR 2025 Beyond Human Perception: Understanding Multi-Object World from Monocular View Keyu Guo, Yongle Huang, Shijie Sun, Xiangyu Song, Mingtao Feng, Zedong Liu, Huansheng Song, Tiantian Wang, Jianxin Li, Naveed Akhtar, Ajmal Saeed Mian
AAAI 2025 DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
AAAI 2025 Discrete Curvature Graph Information Bottleneck Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
AAAI 2025 FLUE: Streamlined Uncertainty Estimation for Large Language Models Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li
IJCAI 2025 FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li
NeurIPS 2025 GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-Tuning Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
CVPR 2025 Galaxy Walker: Geometry-Aware VLMs for Galaxy-Scale Understanding Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
NeurIPS 2025 GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li
AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
ICML 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
ICLR 2025 IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
TMLR 2025 Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li
IJCAI 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
ICML 2025 OmniArch: Building Foundation Model for Scientific Computing Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li
ICML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang
NeurIPS 2025 Robust Graph Condensation via Classification Complexity Mitigation Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu
ICLR 2025 ST-GCond: Self-Supervised and Transferable Graph Dataset Condensation Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
NeurIPS 2025 Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li
AAAI 2024 Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
NeurIPS 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li
NeurIPS 2024 From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
ICML 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
ICML 2024 KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li
IJCAI 2024 LLM-Based Multi-Level Knowledge Generation for Few-Shot Knowledge Graph Completion Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li
NeurIPS 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization Qi Song, Tianxiang Gong, Shiqi Gao, Haoyi Zhou, Jianxin Li
AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
NeurIPS 2023 Does Graph Distillation See like Vision Dataset Counterpart? Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
NeurIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
AAAI 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
IJCAI 2023 Temporal Knowledge Graph Completion: A Survey Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li
IJCAI 2023 Towards Long-Delayed Sparsity: Learning a Better Transformer Through Reward Redistribution Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
NeurIPS 2022 AutoST: Towards the Universal Modeling of Spatio-Temporal Sequences Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou
AAAI 2022 Graph Structure Learning with Variational Information Bottleneck Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
NeurIPS 2022 Jump Self-Attention: Capturing High-Order Statistics in Transformers Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li
ECCV 2022 MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang
IJCAI 2022 MetaER-TTE: An Adaptive Meta-Learning Model for en Route Travel Time Estimation Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen, Chengfei Liu
AAAI 2021 Adversarial Directed Graph Embedding Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
IJCAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
AAAI 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
JAIR 2021 RWNE: A Scalable Random-Walk Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng
IJCAI 2021 TextGTL: Graph-Based Transductive Learning for Semi-Supervised Text Classification via Structure-Sensitive Interpolation Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang
AAAI 2020 D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li
AAAI 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He
IJCAI 2020 TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li
IJCAI 2019 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang
IJCAI 2019 Fine-Grained Event Categorization with Heterogeneous Graph Convolutional Networks Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
AAAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
IJCAI 2018 Time-Evolving Text Classification with Deep Neural Networks Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng
AAAI 2018 Training and Evaluating Improved Dependency-Based Word Embeddings Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin
IJCAI 2017 Improving the Generalization Performance of Multi-Class SVM via Angular Regularization Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang
AAAI 2017 Incrementally Learning the Hierarchical SoftMax Function for Neural Language Models Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu
IJCAI 2017 Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li
AAAI 2016 Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
IJCAI 2016 On the Representation and Embedding of Knowledge Bases Beyond Binary Relations Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang