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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
- 2024
[j76]Liya Ma, Chen Li, Siqi Sun, Shu Guo, Lihong Wang, Jianxin Li:
Privacy-preserving graph publishing with disentangled variational information bottleneck. Concurr. Comput. Pract. Exp. 36(10) (2024)- [j75]Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024) - [j74]Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu:
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024) - [j73]Runhua Xu, Bo Li, Chao Li, James B. D. Joshi, Shuai Ma, Jianxin Li:
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(5): 4309-4323 (2024) - [j72]Shiqi Gao, Haoyi Zhou, Tianyu Chen, Mingrui He, Runhua Xu, Jianxin Li:
PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-Based Models. IEEE Trans. Inf. Forensics Secur. 19: 9359-9373 (2024) - [j71]Shenghai Zhong, Shu Guo, Jing Liu, Hongren Huang, Lihong Wang, Jianxin Li, Chen Li, Yiming Hei:
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. ACM Trans. Intell. Syst. Technol. 15(3): 53:1-53:24 (2024) - [j70]Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu:
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6301-6321 (2024) - [c143]Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li:
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI 2024: 8544-8552 - [c142]Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li:
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. AAAI 2024: 17202-17210 - [c141]Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li:
ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. APWeb/WAIM (4) 2024: 465-480 - [c140]Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li:
L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. CIKM 2024: 3581-3590 - [c139]Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li:
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. LREC/COLING 2024: 7208-7219 - [c138]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML 2024 - [c137]Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li:
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. ICML 2024 - [c136]Mengyi Yan, Yaoshu Wang, Kehan Pang, Min Xie, Jianxin Li:
Efficient Mixture of Experts based on Large Language Models for Low-Resource Data Preprocessing. KDD 2024: 3690-3701 - [c135]Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li:
Multi-Modal Inductive Framework for Text-Video Retrieval. ACM Multimedia 2024: 2389-2398 - [c134]Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li:
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. ACM Multimedia 2024: 3303-3312 - [c133]Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li:
MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. SDM 2024: 661-669 - [c132]Leping Zhang, Yongwang Zhao, Jianxin Li:
A Comprehensive Specification and Verification of the L4 Microkernel API. TACAS (2) 2024: 217-234 - [c131]Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li:
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. WSDM 2024: 920-929 - [c130]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. WWW 2024: 469-480 - [i70]Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li:
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. CoRR abs/2401.10547 (2024) - [i69]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. CoRR abs/2402.06716 (2024) - [i68]Yangyifei Luo, Zhuo Chen, Lingbing Guo, Qian Li, Wenxuan Zeng, Zhixin Cai, Jianxin Li:
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment. CoRR abs/2402.11000 (2024) - [i67]Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li:
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. CoRR abs/2402.14609 (2024) - [i66]Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Shanghang Zhang, Jianxin Li:
Building Flexible Machine Learning Models for Scientific Computing at Scale. CoRR abs/2402.16014 (2024) - [i65]Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li:
MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. CoRR abs/2402.18169 (2024) - [i64]Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li:
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. CoRR abs/2403.04521 (2024) - [i63]Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li:
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. CoRR abs/2404.12006 (2024) - [i62]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR abs/2405.03188 (2024) - [i61]Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR abs/2406.09870 (2024) - [i60]Zichao Shen, Tianchen Zhu, Qingyun Sun, Shiqi Gao, Jianxin Li:
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. CoRR abs/2406.19644 (2024) - [i59]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR abs/2407.00615 (2024) - [i58]Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li:
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. CoRR abs/2409.12865 (2024) - 2023
- [j69]Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong:
Expanding the prediction capacity in long sequence time-series forecasting. Artif. Intell. 318: 103886 (2023) - [j68]Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j67]Luxin Tan, Huan Li, Jinze Yu, Haoyi Zhou, Zhi Wang, Zhiyong Niu, Jianxin Li, Zhongwu Li:
Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning. Medical Biol. Eng. Comput. 61(6): 1565-1580 (2023) - [j66]Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu:
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8063-8080 (2023) - [j65]Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li:
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. 143: 109766 (2023) - [j64]Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang:
Event Extraction by Associating Event Types and Argument Roles. IEEE Trans. Big Data 9(6): 1549-1560 (2023) - [j63]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) - [j62]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) - [j61]Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11004-11018 (2023) - [j60]Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu:
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. 35(12): 11982-11983 (2023) - [j59]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. ACM Trans. Web 17(3): 20:1-20:26 (2023) - [c129]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI 2023: 4643-4651 - [c128]Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL (Findings) 2023: 8982-8994 - [c127]Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chunming Hu, Jianxin Li:
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning. EACL 2023: 3173-3184 - [c126]Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang:
POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. ECAI 2023: 1521-1528 - [c125]Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li:
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. EMNLP (Findings) 2023: 987-999 - [c124]Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. EMNLP 2023: 4015-4030 - [c123]Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li:
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. EMNLP (Findings) 2023: 4578-4586 - [c122]Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li:
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. EMNLP (Findings) 2023: 4929-4941 - [c121]Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li:
BadRes: Reveal the Backdoors Through Residual Connection. ICASSP 2023: 1-5 - [c120]Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li:
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. IJCAI 2023: 4693-4701 - [c119]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 - [c118]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS 2023 - [c117]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 - [c116]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW 2023: 460-468 - [c115]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW 2023: 499-510 - [c114]Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. WWW 2023: 2499-2508 - [i57]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) - [i56]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) - [i55]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) - [i54]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. CoRR abs/2303.09778 (2023) - [i53]Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. CoRR abs/2304.01563 (2023) - [i52]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR abs/2304.05059 (2023) - [i51]Weifeng Jiang, Qianren Mao, Jianxin Li, Chenghua Lin, Weiyi Yang, Ting Deng, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. CoRR abs/2305.12074 (2023) - [i50]Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li:
Learning Music Sequence Representation from Text Supervision. CoRR abs/2305.19602 (2023) - [i49]Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. CoRR abs/2306.11020 (2023) - [i48]Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li:
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. CoRR abs/2310.06365 (2023) - [i47]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR abs/2310.09192 (2023) - [i46]Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li:
Precise influence evaluation in complex networks. CoRR abs/2310.12181 (2023) - [i45]Shuai Zheng, Zhizhe Liu, Zhenfeng Zhu, Xingxing Zhang, Jianxin Li, Yao Zhao:
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer. CoRR abs/2310.17132 (2023) - [i44]Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li:
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. CoRR abs/2310.18992 (2023) - [i43]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR abs/2311.11114 (2023) - 2022
- [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [c113]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 - [c112]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. ACL (Findings) 2022: 3510-3520 - [c111]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 - [c110]Yiming Wang, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li:
Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. COLING 2022: 6447-6456 - [c109]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 - [c108]Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li:
Learning Music Sequence Representation From Text Supervision. ICASSP 2022: 4583-4587 - [c107]Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li:
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works. ICASSP 2022: 6342-6346 - [c106]Qianren Mao, Jianxin Li, JiaZheng Wang, Xi Li, Peng Hao, Lihong Wang, Zheng Wang:
Explicitly Modeling Importance and Coherence for Timeline Summarization. ICASSP 2022: 8062-8066 - [c105]Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang:
HiGIL: Hierarchical Graph Inference Learning for Fact Checking. ICDM 2022: 329-337 - [c104]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 - [c103]Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou:
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences. NeurIPS 2022 - [c102]Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li:
Jump Self-attention: Capturing High-order Statistics in Transformers. NeurIPS 2022 - [c101]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 - [c100]Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao:
MtCut: A Multi-Task Framework for Ranked List Truncation. WSDM 2022: 1054-1062 - [c99]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. WWW 2022: 1528-1537 - [i42]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. CoRR abs/2203.01604 (2022) - [i41]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) - [i40]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. CoRR abs/2206.00216 (2022) - [i39]Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
Task-Specific Expert Pruning for Sparse Mixture-of-Experts. CoRR abs/2206.00277 (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
- [j50]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) - [j49]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) - [j48]