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ORCIDJianxin Li 0002
Person information
- affiliation: Beihang University, Beijing Advanced Innovation Center of Big data and Brain Computing, China
Other persons with the same name
- Jianxin Li (aka: Jian-Xin Li) — disambiguation page
- Jianxin Li 0001
![[0000-0002-9059-330X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9059-330X")
— Deakin University, Burwood, VIC, Australia (and 3 more)
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2020 – today
- 2023
[j57]Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(1): 560-574 (2023)- [j56]Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. 35(3): 2765-2780 (2023) - [c99]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [i43]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - [i42]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i41]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - 2022
- [j55]Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li:
Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. 240: 107813 (2022) - [j54]Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang:
Attend and select: A segment selective transformer for microblog hashtag generation. Knowl. Based Syst. 254: 109581 (2022) - [j53]Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang:
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 520-533 (2022) - [j52]Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022) - [j51]Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022) - [j50]Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan:
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers 71(3): 628-642 (2022) - [j49]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. 13(2): 31:1-31:41 (2022) - [j48]Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2530-2542 (2022) - [c98]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. AAAI 2022: 4165-4174 - [c97]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM 2022: 1848-1857 - [c96]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [c95]Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu:
AIQoSer: Building the efficient Inference-QoS for AI Services. IWQoS 2022: 1-10 - [c94]Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang:
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. SIGIR 2022: 2617-2622 - [c93]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. WWW 2022: 1528-1537 - [i40]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. CoRR abs/2203.01604 (2022) - [i39]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i38]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR abs/2208.08302 (2022) - [i37]Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li:
BadRes: Reveal the Backdoors through Residual Connection. CoRR abs/2209.07125 (2022) - [i36]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR abs/2211.08168 (2022) - 2021
- [j47]Peiyuan Sun, Qiben Yan, Haoyi Zhou, Jianxin Li:
Osprey: A fast and accurate patch presence test framework for binaries. Comput. Commun. 173: 95-106 (2021) - [j46]Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen:
MASA: An efficient framework for anomaly detection in multi-attributed networks. Comput. Secur. 102: 102085 (2021) - [j45]Naveed Akram, Jianxin Li, Yan Bai, Yangyang Zhang:
Real-time partitioned scheduling: Exploiting the inter-resource affinity for task allocation on multiprocessors. Concurr. Comput. Pract. Exp. 33(7): 1 (2021) - [j44]Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang:
Event prediction based on evolutionary event ontology knowledge. Future Gener. Comput. Syst. 115: 76-89 (2021) - [j43]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [j42]Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng:
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. J. Artif. Intell. Res. 71: 237-263 (2021) - [j41]Shuai Zhang, Haoyi Zhou, Feng Chen, Jianxin Li:
A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. IEEE Trans. Comput. Soc. Syst. 8(1): 161-170 (2021) - [j40]Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen:
Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. IEEE Trans. Dependable Secur. Comput. 18(6): 2983-2995 (2021) - [j39]Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, Jianxin Li:
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling. ACM Trans. Intell. Syst. Technol. 12(6): 69:1-69:24 (2021) - [j38]Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He:
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 15(5): 89:1-89:33 (2021) - [j37]Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 33(6): 2505-2519 (2021) - [c92]Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He:
Adversarial Directed Graph Embedding. AAAI 2021: 4741-4748 - [c91]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. AAAI 2021: 11106-11115 - [c90]Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong:
Two-tier Graph Contextual Embedding for Cross-device User Matching. CIKM 2021: 730-739 - [c89]Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li:
Differentially Private Federated Knowledge Graphs Embedding. CIKM 2021: 1416-1425 - [c88]Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205 - [c87]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM 2021: 111-120 - [c86]Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang:
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM 2021: 1481-1486 - [c85]Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang:
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. IJCAI 2021: 2680-2686 - [c84]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI 2021: 2767-2774 - [c83]Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang:
Triplet Attention: Rethinking the Similarity in Transformers. KDD 2021: 2378-2388 - [c82]Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. NAACL-HLT 2021: 3259-3265 - [c81]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He:
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. WWW 2021: 2081-2091 - [c80]Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu:
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. WWW 2021: 3383-3395 - [i35]Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He:
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR abs/2101.08170 (2021) - [i34]Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu:
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. CoRR abs/2101.08747 (2021) - [i33]Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He:
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. CoRR abs/2104.00853 (2021) - [i32]Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. CoRR abs/2104.05220 (2021) - [i31]Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. CoRR abs/2104.07892 (2021) - [i30]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR abs/2105.03178 (2021) - [i29]Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li:
Federated Knowledge Graphs Embedding. CoRR abs/2105.07615 (2021) - [i28]Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR abs/2105.10651 (2021) - [i27]Junnan Liu, Qianren Mao, Bang Liu, Hao Peng, Hongdong Zhu, Jianxin Li:
Noised Consistency Training for Text Summarization. CoRR abs/2105.13635 (2021) - [i26]Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang:
Automated Timeline Length Selection for Flexible Timeline Summarization. CoRR abs/2105.14201 (2021) - [i25]Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu:
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR abs/2106.03151 (2021) - [i24]Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li:
RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models. CoRR abs/2106.03613 (2021) - [i23]Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang:
Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations. CoRR abs/2106.12384 (2021) - [i22]Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu:
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. CoRR abs/2107.02126 (2021) - [i21]Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Lihong Wang, Xiaohan Dong, Hao Peng:
Event Extraction by Associating Event Types and Argument Roles. CoRR abs/2108.10038 (2021) - [i20]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR abs/2110.07888 (2021) - [i19]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. CoRR abs/2112.08903 (2021) - 2020
- [j36]Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic network embedding via incremental skip-gram with negative sampling. Sci. China Inf. Sci. 63(10): 1-19 (2020) - [j35]Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li:
TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data. Comput. Secur. 95: 101867 (2020) - [j34]Yaopeng Liu, Hao Peng, Jianxin Li, Yangqiu Song, Xiong Li:
Event detection and evolution in multi-lingual social streams. Frontiers Comput. Sci. 14(5): 145612 (2020) - [j33]Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng:
Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks. Neurocomputing 407: 83-93 (2020) - [c79]Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He:
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. AAAI 2020: 5387-5394 - [c78]Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu:
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. COLING 2020: 6302-6314 - [c77]Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM 2020: 511-520 - [i18]Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu:
Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. CoRR abs/2006.06469 (2020) - [i17]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Shallow to Deep Learning. CoRR abs/2008.00364 (2020) - [i16]Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He:
Adversarial Directed Graph Embedding. CoRR abs/2008.03667 (2020) - [i15]Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. CoRR abs/2008.05880 (2020) - [i14]Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR abs/2008.13099 (2020) - [i13]Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu:
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. CoRR abs/2011.00802 (2020) - [i12]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. CoRR abs/2012.07436 (2020)
2010 – 2019
- 2019
- [j32]Athmane Seghier, Jianxin Li, Dazhi Sun:
Advanced encryption standard based on key dependent S-Box cube. IET Inf. Secur. 13(6): 552-558 (2019) - [j31]Peiyuan Sun, Jianxin Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Bo Li:
Modeling and clustering attacker activities in IoT through machine learning techniques. Inf. Sci. 479: 456-471 (2019) - [j30]Muhammad Hassan Arif, Muhammad Iqbal, Jianxin Li:
Extracting and reusing blocks of knowledge in learning classifier systems for text classification: a lifelong machine learning approach. Soft Comput. 23(23): 12673-12682 (2019) - [j29]Weiren Yu, Jianxin Li, Md. Zakirul Alam Bhuiyan, Richong Zhang, Jinpeng Huai:
Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams. IEEE Trans. Big Data 5(4): 506-519 (2019) - [j28]Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan:
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. IEEE Trans. Knowl. Data Eng. 31(10): 1849-1862 (2019) - [j27]Jianxin Li, Yingjie Cao, Yangyang Zhang, Md. Zakirul Alam Bhuiyan, Bo Li:
SPFC: An Effective Optimization for Vertex-Centric Graph Processing Systems. IEEE Trans. Sustain. Comput. 4(1): 118-131 (2019) - [c76]Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai:
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. AAAI 2019: 5433-5440 - [c75]Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CIKM 2019: 639-648 - [c74]Athmane Seghier, Jianxin Li:
AES Based on Key Dependently Nonlinear Redundant S-Box. ICC 2019: 1-6 - [c73]Athmane Seghier, Jianxin Li:
Parallel Steepest Ascent Hill-Climbing for High Nonlinear Boolean and Vectorial Boolean Functions (S-Boxes). ICICS 2019: 413-429 - [c72]Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu:
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. IJCAI 2019: 3238-3245 - [c71]Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang:
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. IJCAI 2019: 5139-5145 - [c70]Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu:
Learning Semantic Coherence for Machine Generated Spam Text Detection. IJCNN 2019: 1-8 - [c69]Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang:
Bibliographic Name Disambiguation with Graph Convolutional Network. WISE 2019: 538-551 - [i11]Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling. CoRR abs/1906.03586 (2019) - [i10]Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu:
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. CoRR abs/1906.04580 (2019) - [i9]Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. CoRR abs/1906.04898 (2019) - [i8]Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CoRR abs/1909.03228 (2019) - [i7]Yu He, Jianxin Li, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Hao Peng:
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. CoRR abs/1911.07874 (2019) - 2018
- [j26]Jianxin Li, Hao Peng, Erica Yang, Chunming Hu, Shenghai Zhong, Lihong Wang:
Eagle+: A fast incremental approach to automaton and table online updates for cloud services. Future Gener. Comput. Syst. 80: 275-285 (2018) - [j25]Yingxue Wang, Yanan Chen, Md. Zakirul Alam Bhuiyan, Yu Han, Shenghui Zhao, Jianxin Li:
Gait-based Human identification using acoustic sensor and deep neural network. Future Gener. Comput. Syst. 86: 1228-1237 (2018) - [j24]Hao Peng, Mengjiao Bao, Jianxin Li, Md. Zakirul Alam Bhuiyan, Yaopeng Liu, Yu He, Erica Yang:
Incremental term representation learning for social network analysis. Future Gener. Comput. Syst. 86: 1503-1512 (2018) - [j23]Jianxin Li, Nannan Wu, Zhirui Feng:
Model-based non-Gaussian interest topic distribution for user retweeting in social networks. Neurocomputing 278: 87-98 (2018) - [j22]Yangyang Zhang, Jianxin Li, Chenggen Sun, Md. Zakirul Alam Bhuiyan, Weiren Yu, Richong Zhang:
HotML: A DSM-based machine learning system for social networks. J. Comput. Sci. 26: 478-487 (2018) - [j21]Chen Li, Bo Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Jinghui Si, Guanyu Wei, Jianxin Li:
FluteDB: An efficient and scalable in-memory time series database for sensor-cloud. J. Parallel Distributed Comput. 122: 95-108 (2018) - [j20]Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Kaixu Liu:
Sentiment analysis and spam detection in short informal text using learning classifier systems. Soft Comput. 22(21): 7281-7291 (2018) - [j19]Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai:
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. IEEE Trans. Knowl. Data Eng. 30(7): 1310-1323 (2018) - [c68]Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin:
Training and Evaluating Improved Dependency-Based Word Embeddings. AAAI 2018: 5836-5843 - [c67]Jun Li, Peiyuan Sun, Qianren Mao, Jianxin Li:
Path-Graph Fusion Based Community Detection over Heterogeneous Information Network. HPCC/SmartCity/DSS 2018: 274-281 - [c66]Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng:
Time-evolving Text Classification with Deep Neural Networks. IJCAI 2018: 2241-2247 - [c65]Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen:
A Time-Sensitive Hybrid Learning Model for Patient Subgrouping. IJCNN 2018: 1-8 - [c64]Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen:
An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM 2018: 2258-2266 - [c63]Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang:
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW 2018: 1063-1072 - [i6]