Jianxin Li - RankMe

388 papers A* 73A 17B 19C 7Misc 7Journal 208Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization. CoRR Jiaqi Yuan, Jialu Wang, Zihan Wang, Qingyun Sun, Ruijie Wang, Jianxin Li
2026	J	`jnl`	BiKT: Unleashing the Potential of GNNs via Bi-Directional Knowledge Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Shuai Zheng, Zhizhe Liu, Zhenfeng Zhu, Xingxing Zhang, Jianxin Li, Yao Zhao
2026	J	`jnl`	DynMD: Energy-Based Dynamic Graph Representation Learning for Malware Detection. IEEE Trans. Dependable Secur. Comput. Chen Liu, Bo Li, Yidong Wu, Xudong Liu, Jianxin Li, Chunpei Li
2026	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments. IEEE Trans. Pattern Anal. Mach. Intell. Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2026	A*	`conf`	Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty. AAAI Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li
2026	A*	`conf`	Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation. WWW Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li
2026	A*	`conf`	GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. WWW Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang
2026	J	`jnl`	IMMix: Class-Imbalanced node classification via prototypical selective mixup augmentation. Pattern Recognit. Jiawen Qin, Qingyun Sun, Lyujin Xu, Cheng Ji, Jianxin Li
2026	—	`conf`	Invariant Graph Transformer for Out-of-Distribution Generalization. KDD (1) Tianyin Liao, Ziwei Zhang, Yufei Sun, Chunyu Hu, Jianxin Li
2026	A*	`conf`	Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. AAAI Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks. AAAI Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. WWW Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. CoRR Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Mingjun Liu, Jiaqi Yuan, Ziwei Zhang, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search. CoRR Zihao Guo, Ligang Zhou, Zeyang Tang, Feicheng Li, Ying Nie, Zhiming Peng, Qingyun Sun, Jianxin Li
2026	J	`jnl`	SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning. CoRR Chenzhi Hu, Qinzhe Hu, Yuhang Xu, Junyi Chen, Ruijie Wang, Shengzhong Liu, Jianxin Li, Fan Wu, Guihai Chen
2026	J	`jnl`	TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models. CoRR Tianyin Liao, Chunyu Hu, Yicheng Sui, Xingxuan Zhang, Peng Cui, Jianxin Li, Ziwei Zhang
2026	A*	`conf`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. AAAI Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	Towards Long-window Anchoring in Vision-Language Model Distillation. AAAI Haoyi Zhou, Shuo Li, Tianyu Chen, Qi Song, Chonghan Gao, Jianxin Li
2026	J	`jnl`	Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models. CoRR Chuanyue Yu, Jiahui Wang, Yuhan Li, Heng Chang, Ge Lan, Qingyun Sun, Jia Li, Jianxin Li, Ziwei Zhang
2026	—	`conf`	Vistar: Enhancing the Perception Capability of LLMs under Imprecise IMU-Text Alignment. KDD (1) Yatong Chen, Chenzhi Hu, Bowen He, Ruijie Wang, Xiaomin Ouyang, Shengzhong Liu, Jianxin Li, Fan Wu, Guihai Chen
2026	J	`jnl`	Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts. CoRR Xinyu Zhao, Qingyun Sun, Jiayi Luo, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT. Int. J. Mach. Learn. Cybern. 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
2025	J	`jnl`	AMEF-Net: Towards an attention and multi-level enhancement fusion for medical image classification in Parkinson's aided diagnosis. IET Comput. Vis. Qingyan Ding, Yu Pan, Jianxin Li, Lianxin Li, Nan Liu, Na Li, Wan Zheng, Xuecheng Dong
2025	J	`jnl`	Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization. CoRR Yunlong Chu, Minglai Shao, Zengyi Wo, Bing Hao, Yuhang Liu, Ruijie Wang, Jianxin Li
2025	J	`jnl`	Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples. Neural Networks Hongren Huang, Jianxin Li, Feihong Lu, Lihong Wang, Qian Li, Qingyun Sun
2025	J	`jnl`	BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference. CoRR Tao Yang, Yang Hu, Feihong Lu, Ziwei Zhang, Qingyun Sun, Jianxin Li
2025	J	`jnl`	Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation. CoRR Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Zhuo Chen, Yang Liu, Ruifeng Xu, Yangqiu Song, Shangguang Wang, Jianxin Li
2025	J	`jnl`	Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. CoRR Yisen Gao, Jiaxin Bai, Tianshi Zheng, Qingyun Sun, Ziwei Zhang, Jianxin Li, Yangqiu Song, Xingcheng Fu
2025	A*	`conf`	DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. AAAI Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2025	A*	`conf`	Discrete Curvature Graph Information Bottleneck. AAAI Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2025	J	`jnl`	Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning. CoRR Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li
2025	J	`jnl`	DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. CoRR Qingyun Sun, Jiaqi Yuan, Shan He, Xiao Guan, Haonan Yuan, Xingcheng Fu, Jianxin Li, Philip S. Yu
2025	—	`conf`	Enhancing Transformers for Generalizable First-Order Logical Entailment. ACL (1) Tianshi Zheng, Jiazheng Wang, Zihao Wang, Jiaxin Bai, Hang Yin, Zheye Deng, Yangqiu Song, Jianxin Li
2025	J	`jnl`	Enhancing Transformers for Generalizable First-Order Logical Entailment. CoRR Tianshi Zheng, Jiazheng Wang, Zihao Wang, Jiaxin Bai, Hang Yin, Zheye Deng, Yangqiu Song, Jianxin Li
2025	J	`jnl`	Entropy-Based Active Learning for Precise Influence Evaluation in Complex Networks. IEEE Trans. Syst. Man Cybern. Syst. Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li
2025	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. CoRR Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	A*	`conf`	FLUE: Streamlined Uncertainty Estimation for Large Language Models. AAAI Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li
2025	J	`jnl`	Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty. CoRR Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li
2025	A*	`conf`	FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. IJCAI Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li
2025	J	`jnl`	FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. CoRR Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li
2025	A	`conf`	Frontiers in Graph Machine Learning for the Large Model Era. CIKM Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025	J	`jnl`	GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A*	`conf`	Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. CVPR Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
2025	J	`jnl`	Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. CoRR Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
2025	J	`jnl`	Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models. CoRR Yunan Wang, Jianxin Li, Ziwei Zhang
2025	A	`conf`	Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. WSDM Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. CoRR Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. AAAI Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2025	J	`jnl`	GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning. CoRR Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Jianxin Li, Ziwei Zhang
2025	J	`jnl`	HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classification. Expert Syst. Appl. Jinze Yu, Shuo Li, Luxin Tan, Haoyi Zhou, Zhongwu Li, Jianxin Li
2025	A*	`conf`	How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. ICML Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A*	`conf`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. ICLR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	—	`conf`	Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks. KDD (2) Shuyang Guo, Wenjin Xie, Ping Lu, Ting Deng, Richong Zhang, Jianxin Li, Xiangping Huang, Zhongyi Liu
2025	J	`jnl`	Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks. CoRR Shuyang Guo, Wenjin Xie, Ping Lu, Ting Deng, Richong Zhang, Jianxin Li, Xiangping Huang, Zhongyi Liu
2025	J	`jnl`	Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM. CoRR Xin Xue, Haoyi Zhou, Tianyu Chen, Shuai Zhang, Yizhou Long, Jianxin Li
2025	J	`jnl`	Invariant Graph Transformer for Out-of-Distribution Generalization. CoRR Tianyin Liao, Ziwei Zhang, Yufei Sun, Chunyu Hu, Jianxin Li
2025	J	`jnl`	Ionformer: A Data-Driven Deep Learning Baseline for Global Ionospheric TEC Forecasting. IEEE Trans. Geosci. Remote. Sens. Lanhao Li, Yang Liu, Haoyi Zhou, Kunlin Yang, Haojun Yan, Jianxin Li
2025	J	`jnl`	Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. CoRR Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs. Trans. Mach. Learn. Res. Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li
2025	J	`jnl`	Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. CoRR Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li
2025	—	`conf`	Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. NAACL (Findings) Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu
2025	A*	`conf`	OS-GCL: A One-Shot Learner in Graph Contrastive Learning. IJCAI Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	OmniArch: Building Foundation Model for Scientific Computing. ICML Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li
2025	A*	`conf`	PINNsAgent: Automated PDE Surrogation with Large Language Models. ICML Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang
2025	J	`jnl`	PINNsAgent: Automated PDE Surrogation with Large Language Models. CoRR Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang
2025	J	`jnl`	Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks. CoRR Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. CoRR Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Robust Graph Condensation via Classification Complexity Mitigation. CoRR Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu
2025	A*	`conf`	Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. WWW Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. CoRR Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. ICLR Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning. CoRR Runhua Xu, Bo Li, Chao Li, James B. D. Joshi, Shuai Ma, Jianxin Li
2025	J	`jnl`	Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction. CoRR Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li
2025	J	`jnl`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. CoRR Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Towards Long-window Anchoring in Vision-Language Model Distillation. CoRR Haoyi Zhou, Shuo Li, Tianyu Chen, Qi Song, Chonghan Gao, Jianxin Li
2025	—	`conf`	Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? ACL (1) Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li
2025	J	`jnl`	Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? CoRR Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li
2025	J	`jnl`	Towards uncertainty-calibrated structural data enrichment with large language model for few-shot entity resolution. Frontiers Comput. Sci. Mengyi Yan, Yaoshu Wang, Xiaohan Jiang, Haoyi Zhou, Jianxin Li
2024	—	`conf`	A Comprehensive Specification and Verification of the L4 Microkernel API. TACAS (2) Leping Zhang, Yongwang Zhao, Jianxin Li
2024	J	`jnl`	A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
2024	J	`jnl`	ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment. CoRR Yangyifei Luo, Zhuo Chen, Lingbing Guo, Qian Li, Wenxuan Zeng, Zhixin Cai, Jianxin Li
2024	J	`jnl`	Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. CoRR Zichao Shen, Tianchen Zhu, Qingyun Sun, Shiqi Gao, Jianxin Li
2024	J	`jnl`	Building Flexible Machine Learning Models for Scientific Computing at Scale. CoRR Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Shanghang Zhang, Jianxin Li
2024	J	`jnl`	CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
2024	—	`conf`	ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection. APWeb/WAIM (4) Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li
2024	J	`jnl`	DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. CoRR Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2024	A*	`conf`	Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. AAAI Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
2024	J	`jnl`	Discrete Curvature Graph Information Bottleneck. CoRR Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2024	A*	`conf`	Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning. NeurIPS Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li
2024	A*	`conf`	Dynamic Graph Information Bottleneck. WWW Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024	J	`jnl`	Dynamic Graph Information Bottleneck. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024	A*	`conf`	Efficient Mixture of Experts based on Large Language Models for Low-Resource Data Preprocessing. KDD Mengyi Yan, Yaoshu Wang, Kehan Pang, Min Xie, Jianxin Li
2024	J	`jnl`	FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. CoRR Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li
2024	—	`conf`	Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. LREC/COLING Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li
2024	A*	`conf`	From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning. NeurIPS Pusen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
2024	J	`jnl`	From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning. CoRR Pusen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
2024	A*	`conf`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. NeurIPS Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models. Proc. ACM Manag. Data Mengyi Yan, Yaoshu Wang, Yue Wang, Xiaoye Miao, Jianxin Li
2024	J	`jnl`	Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. CoRR Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2024	J	`jnl`	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. CoRR Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2024	A*	`conf`	Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024	J	`jnl`	Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024	J	`jnl`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2024	A*	`conf`	KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. ICML Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li
2024	J	`jnl`	KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. CoRR Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li
2024	A	`conf`	L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. CIKM Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li
2024	A*	`conf`	LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion. IJCAI Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li
2024	J	`jnl`	Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. CoRR Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu
2024	J	`jnl`	MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. CoRR Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li
2024	A*	`conf`	Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. ACM Multimedia Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li
2024	A*	`conf`	Multi-Modal Inductive Framework for Text-Video Retrieval. ACM Multimedia Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li
2024	A	`conf`	MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. SDM Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li
2024	J	`jnl`	PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-Based Models. IEEE Trans. Inf. Forensics Secur. Shiqi Gao, Haoyi Zhou, Tianyu Chen, Mingrui He, Runhua Xu, Jianxin Li
2024	A	`conf`	PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. WSDM Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li
2024	J	`jnl`	PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. CoRR Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li
2024	J	`jnl`	Privacy-preserving graph publishing with disentangled variational information bottleneck. Concurr. Comput. Pract. Exp. Liya Ma, Chen Li, Siqi Sun, Shu Guo, Lihong Wang, Jianxin Li
2024	A*	`conf`	QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization. NeurIPS Qi Song, Tianxiang Gong, Shiqi Gao, Haoyi Zhou, Jianxin Li
2024	A*	`conf`	ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
2024	J	`jnl`	Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. ACM Trans. Intell. Syst. Technol. Shenghai Zhong, Shu Guo, Jing Liu, Hongren Huang, Lihong Wang, Jianxin Li, Chen Li, Yiming Hei
2024	J	`jnl`	TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning. IEEE Trans. Dependable Secur. Comput. Runhua Xu, Bo Li, Chao Li, James B. D. Joshi, Shuai Ma, Jianxin Li
2024	J	`jnl`	Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
2024	J	`jnl`	Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. CoRR Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li
2024	J	`jnl`	Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. CoRR Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li
2024	J	`jnl`	XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation. CoRR Qianren Mao, Yangyifei Luo, Jinlong Zhang, Hanwen Hao, Zhilong Cao, Xiaolong Wang, Xiao Guan, Zhenting Huang, Weifeng Jiang, Shuyu Guo, Zhentao Han, Qili Zhang, Siyuan Tao, Yujie Liu, Junnan Liu, Zhixing Tan, Jie Sun, Bo Li, Xudong Liu, Richong Zhang, Jianxin Li
2023	J	`jnl`	A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR 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
2023	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
2023	J	`jnl`	Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu
2023	J	`jnl`	Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023	A*	`conf`	Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. WWW Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
2023	J	`jnl`	Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. CoRR Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
2023	Misc	`conf`	BadRes: Reveal the Backdoors Through Residual Connection. ICASSP Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li
2023	—	`conf`	Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. EMNLP (Findings) Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li
2023	J	`jnl`	Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. CoRR Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li
2023	J	`jnl`	Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning. Medical Biol. Eng. Comput. Luxin Tan, Huan Li, Jinze Yu, Haoyi Zhou, Zhi Wang, Zhiyong Niu, Jianxin Li, Zhongwu Li
2023	A*	`conf`	DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. EMNLP Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang
2023	J	`jnl`	DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. CoRR Weifeng Jiang, Qianren Mao, Jianxin Li, Chenghua Lin, Weiyi Yang, Ting Deng, Zheng Wang
2023	A*	`conf`	Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	J	`jnl`	Does Graph Distillation See Like Vision Dataset Counterpart? CoRR Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	—	`conf`	Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL (Findings) Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang
2023	J	`jnl`	Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. CoRR Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li
2023	A*	`conf`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Event Extraction by Associating Event Types and Argument Roles. IEEE Trans. Big Data Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang
2023	J	`jnl`	Expanding the prediction capacity in long sequence time-series forecasting. Artif. Intell. Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong
2023	J	`jnl`	Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. Jianxin Li, Lifang He, Hao Peng, Peng Cui, Charu C. Aggarwal, Philip S. Yu
2023	J	`jnl`	Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2023	J	`jnl`	Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
2023	A*	`conf`	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	J	`jnl`	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	—	`conf`	LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. EMNLP (Findings) Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li
2023	J	`jnl`	Learning Music Sequence Representation from Text Supervision. CoRR Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li
2023	J	`jnl`	Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He
2023	—	`conf`	Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. EMNLP (Findings) Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li
2023	J	`jnl`	Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. CoRR Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li
2023	A	`conf`	POINE ECAI Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang
2023	A	`conf`	Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning. EACL Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chunming Hu, Jianxin Li
2023	J	`jnl`	Precise influence evaluation in complex networks. CoRR Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li
2023	A*	`conf`	SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023	J	`jnl`	SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. CoRR Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu
2023	A*	`conf`	Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	A*	`conf`	Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. IJCAI Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
2023	J	`jnl`	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2023	A	`conf`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023	J	`jnl`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023	J	`jnl`	Unleashing the potential of GNNs via Bi-directional Knowledge Transfer. CoRR Shuai Zheng, Zhizhe Liu, Zhenfeng Zhu, Xingxing Zhang, Jianxin Li, Yao Zhao
2022	J	`jnl`	A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2022	B	`conf`	AIQoSer: Building the efficient Inference-QoS for AI Services. IWQoS Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu
2022	J	`jnl`	Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu
2022	J	`jnl`	Attend and select: A segment selective transformer for microblog hashtag generation. Knowl. Based Syst. Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang
2022	A*	`conf`	AutoST: Towards the Universal Modeling of Spatio-temporal Sequences. NeurIPS Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou
2022	J	`jnl`	BadRes: Reveal the Backdoors through Residual Connection. CoRR Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li
2022	J	`jnl`	Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang
2022	J	`jnl`	Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li
2022	A*	`conf`	Curvature Graph Generative Adversarial Networks. WWW Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022	J	`jnl`	Curvature Graph Generative Adversarial Networks. CoRR Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022	Misc	`conf`	Explicitly Modeling Importance and Coherence for Timeline Summarization. ICASSP Qianren Mao, Jianxin Li, Jiazheng Wang, Xi Li, Peng Hao, Lihong Wang, Zheng Wang
2022	J	`jnl`	Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang
2022	—	`conf`	Frequently Asked Question Pair Generation for Rule and Regulation Document. AIMS Keyang Ding, Chenran Cai, Shijue Huang, Rui Wang, Qianlong Wang, Jianxin Li, Guozhong Shi, Feiran Hu, Fengxin Li, Ruifeng Xu
2022	Misc	`conf`	Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works. ICASSP Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li
2022	A*	`conf`	Graph Structure Learning with Variational Information Bottleneck. AAAI Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022	A*	`conf`	HiGIL: Hierarchical Graph Inference Learning for Fact Checking. ICDM Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang
2022	J	`jnl`	Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He
2022	A*	`conf`	Jump Self-attention: Capturing High-order Statistics in Transformers. NeurIPS Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li
2022	Misc	`conf`	Learning Music Sequence Representation From Text Supervision. ICASSP Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li
2022	J	`jnl`	Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan
2022	—	`conf`	MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang
2022	A	`conf`	MtCut: A Multi-Task Framework for Ranked List Truncation. WSDM Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao
2022	A*	`conf`	MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. SIGIR Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang
2022	B	`conf`	Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. COLING Yiming Wang, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li
2022	A	`conf`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2022	—	`conf`	THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. ACL (Findings) Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei
2022	J	`jnl`	THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. CoRR Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei
2022	J	`jnl`	Task-Specific Expert Pruning for Sparse Mixture-of-Experts. CoRR Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei
2022	J	`jnl`	Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2021	J	`jnl`	A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. IEEE Trans. Comput. Soc. Syst. Shuai Zhang, Haoyi Zhou, Feng Chen, Jianxin Li
2021	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
2021	A*	`conf`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	J	`jnl`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	A*	`conf`	Adversarial Directed Graph Embedding. AAAI Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
2021	J	`jnl`	Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu
2021	J	`jnl`	Automated Timeline Length Selection for Flexible Timeline Summarization. CoRR Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang
2021	C	`conf`	Contrastive Learning for Multiple Models in One Supernet. ICCC Sean Xu, Yihui Li, Yice Zhang, Ruifeng Xu, Jianxin Li, Guozhong Shi, Feiran Hu
2021	J	`jnl`	Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. CoRR Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu
2021	A	`conf`	Differentially Private Federated Knowledge Graphs Embedding. CIKM Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li
2021	J	`jnl`	Event prediction based on evolutionary event ontology knowledge. Future Gener. Comput. Syst. Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang
2021	J	`jnl`	Federated Knowledge Graphs Embedding. CoRR Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li
2021	A	`conf`	FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication. ICDCS Yangyang Zhang, Jianxin Li, Yiming Zhang, Lijie Wang, Ling Liu
2021	J	`jnl`	Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works. CoRR Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li
2021	A*	`conf`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021	J	`jnl`	Graph Structure Learning with Variational Information Bottleneck. CoRR Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2021	A	`conf`	Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021	—	`conf`	HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. NAACL-HLT Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021	J	`jnl`	HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. CoRR Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021	J	`jnl`	Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He
2021	J	`jnl`	Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. CoRR Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
2021	A*	`conf`	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. AAAI Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
2021	A*	`conf`	Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. WWW Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021	J	`jnl`	Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. CoRR Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu
2021	J	`jnl`	Learning graph attention-aware knowledge graph embedding. Neurocomputing Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li
2021	—	`conf`	LightBERT: A Distilled Chinese BERT Model. AIMS Yice Zhang, Yihui Li, Peng Xu, Ruifeng Xu, Jianxin Li, Guozhong Shi, Feiran Hu
2021	J	`jnl`	MASA: An efficient framework for anomaly detection in multi-attributed networks. Comput. Secur. Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen
2021	A*	`conf`	MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang
2021	J	`jnl`	MERTA: micro-expression recognition with ternary attentions. Multim. Tools Appl. Bing Yang, Jing Cheng, Yunxiang Yang, Bo Zhang, Jianxin Li
2021	J	`jnl`	Osprey: A fast and accurate patch presence test framework for binaries. Comput. Commun. Peiyuan Sun, Qiben Yan, Haoyi Zhou, Jianxin Li
2021	J	`jnl`	POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling. ACM Trans. Intell. Syst. Technol. Haoyi Zhou, Hao Peng, Jieqi Peng, Shuai Zhang, Jianxin Li
2021	J	`jnl`	RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. J. Artif. Intell. Res. Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng
2021	J	`jnl`	Real-time partitioned scheduling: Exploiting the inter-resource affinity for task allocation on multiprocessors. Concurr. Comput. Pract. Exp. Naveed Akram, Jianxin Li, Yan Bai, Yangyang Zhang
2021	J	`jnl`	Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations. CoRR Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2021	J	`jnl`	RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models. CoRR Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li
2021	A*	`conf`	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. WWW Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021	J	`jnl`	SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
2021	J	`jnl`	Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. CoRR Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021	J	`jnl`	Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He
2021	J	`jnl`	Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. IEEE Trans. Dependable Secur. Comput. Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen
2021	A*	`conf`	TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. IJCAI Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang
2021	A*	`conf`	Triplet Attention: Rethinking the Similarity in Transformers. KDD Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang
2021	A	`conf`	Two-tier Graph Contextual Embedding for Cross-device User Matching. CIKM Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong
2020	J	`jnl`	A Survey on Text Classification: From Shallow to Deep Learning. CoRR Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2020	J	`jnl`	Adversarial Directed Graph Embedding. CoRR Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
2020	J	`jnl`	Dynamic network embedding via incremental skip-gram with negative sampling. Sci. China Inf. Sci. Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2020	J	`jnl`	Event detection and evolution in multi-lingual social streams. Frontiers Comput. Sci. Yaopeng Liu, Hao Peng, Jianxin Li, Yangqiu Song, Xiong Li
2020	J	`jnl`	Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. CoRR Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu
2020	B	`conf`	Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. COLING Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020	J	`jnl`	Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. CoRR Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020	J	`jnl`	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. CoRR Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
2020	J	`jnl`	Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. CoRR Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He
2020	A*	`conf`	Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. AAAI Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He
2020	A*	`conf`	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020	J	`jnl`	Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020	J	`jnl`	TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data. Comput. Secur. Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li
2020	J	`jnl`	Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks. Neurocomputing Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng
2019	J	`jnl`	A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. IEEE Trans. Knowl. Data Eng. Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan
2019	—	`conf`	AES Based on Key Dependently Nonlinear Redundant S-Box. ICC Athmane Seghier, Jianxin Li
2019	—	`conf`	Adaptive Hybrid Transaction Processing with Hardware Transaction Memory. HPCC/SmartCity/DSS Tao He, Jianxin Li
2019	J	`jnl`	Advanced encryption standard based on key dependent S-Box cube. IET Inf. Secur. Athmane Seghier, Jianxin Li, Dazhi Sun
2019	A*	`conf`	Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. IJCAI Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang
2019	B	`conf`	Bibliographic Name Disambiguation with Graph Convolutional Network. WISE Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang
2019	J	`jnl`	Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling. CoRR Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2019	J	`jnl`	Extracting and reusing blocks of knowledge in learning classifier systems for text classification: a lifelong machine learning approach. Soft Comput. Muhammad Hassan Arif, Muhammad Iqbal, Jianxin Li
2019	A*	`conf`	Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. IJCAI Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
2019	J	`jnl`	Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. CoRR Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu
2019	A	`conf`	HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CIKM Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019	J	`jnl`	HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CoRR Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019	J	`jnl`	Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. CoRR Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu
2019	B	`conf`	Learning Semantic Coherence for Machine Generated Spam Text Detection. IJCNN Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu
2019	J	`jnl`	Modeling and clustering attacker activities in IoT through machine learning techniques. Inf. Sci. Peiyuan Sun, Jianxin Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Bo Li
2019	C	`conf`	Parallel Steepest Ascent Hill-Climbing for High Nonlinear Boolean and Vectorial Boolean Functions (S-Boxes). ICICS Athmane Seghier, Jianxin Li
2019	J	`jnl`	RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. CoRR Yu He, Jianxin Li, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Hao Peng
2019	J	`jnl`	Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams. IEEE Trans. Big Data Weiren Yu, Jianxin Li, Md. Zakirul Alam Bhuiyan, Richong Zhang, Jinpeng Huai
2019	J	`jnl`	SPFC: An Effective Optimization for Vertex-Centric Graph Processing Systems. IEEE Trans. Sustain. Comput. Jianxin Li, Yingjie Cao, Yangyang Zhang, Md. Zakirul Alam Bhuiyan, Bo Li
2019	A*	`conf`	Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. AAAI Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
2018	J	`jnl`	A Lightweight Music Texture Transfer System. CoRR Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, Jianxin Li
2018	B	`conf`	A Time-Sensitive Hybrid Learning Model for Patient Subgrouping. IJCNN Yingchun Zhang, Haoyi Zhou, Jianxin Li, Wanlu Sun, Yahong Chen
2018	A*	`conf`	An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen
2018	J	`jnl`	Eagle+: A fast incremental approach to automaton and table online updates for cloud services. Future Gener. Comput. Syst. Jianxin Li, Hao Peng, Erica Yang, Chunming Hu, Shenghai Zhong, Lihong Wang
2018	J	`jnl`	FluteDB: An efficient and scalable in-memory time series database for sensor-cloud. J. Parallel Distributed Comput. Chen Li, Bo Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Jinghui Si, Guanyu Wei, Jianxin Li
2018	J	`jnl`	Gait-based Human identification using acoustic sensor and deep neural network. Future Gener. Comput. Syst. Yingxue Wang, Yanan Chen, Md. Zakirul Alam Bhuiyan, Yu Han, Shenghui Zhao, Jianxin Li
2018	J	`jnl`	Graph Convolutional Neural Networks via Motif-based Attention. CoRR Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Lihong Wang
2018	J	`jnl`	Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. CoRR Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang
2018	J	`jnl`	HotML: A DSM-based machine learning system for social networks. J. Comput. Sci. Yangyang Zhang, Jianxin Li, Chenggen Sun, Md. Zakirul Alam Bhuiyan, Weiren Yu, Richong Zhang
2018	J	`jnl`	Incremental term representation learning for social network analysis. Future Gener. Comput. Syst. Hao Peng, Mengjiao Bao, Jianxin Li, Md. Zakirul Alam Bhuiyan, Yaopeng Liu, Yu He, Erica Yang
2018	J	`jnl`	Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. CoRR Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang
2018	A*	`conf`	Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang
2018	—	`conf`	Mining Semantic Variation in Time Series for Rumor Detection Via Recurrent Neural Networks. HPCC/SmartCity/DSS Tian Lan, Chen Li, Jianxin Li
2018	J	`jnl`	Model-based non-Gaussian interest topic distribution for user retweeting in social networks. Neurocomputing Jianxin Li, Nannan Wu, Zhirui Feng
2018	—	`conf`	Path-Graph Fusion Based Community Detection over Heterogeneous Information Network. HPCC/SmartCity/DSS Jun Li, Peiyuan Sun, Qianren Mao, Jianxin Li
2018	J	`jnl`	Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. IEEE Trans. Knowl. Data Eng. Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai
2018	J	`jnl`	Sentiment analysis and spam detection in short informal text using learning classifier systems. Soft Comput. Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Kaixu Liu
2018	A*	`conf`	Time-evolving Text Classification with Deep Neural Networks. IJCAI Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng
2018	A*	`conf`	Training and Evaluating Improved Dependency-Based Word Embeddings. AAAI Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin
2017	A*	`conf`	An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. WWW Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen
2017	—	`conf`	DPS: A DSM-based Parameter Server for Machine Learning. ISPAN-FCST-ISCC Chenggen Sun, Yangyang Zhang, Weiren Yu, Richong Zhang, Md. Zakirul Alam Bhuiyan, Jianxin Li
2017	—	`conf`	FluteDB: An Efficient and Dependable Time-Series Database Storage Engine. SpaCCS Workshops Chen Li, Jianxin Li, Jinghui Si, Yangyang Zhang
2017	A*	`conf`	Improving the Generalization Performance of Multi-class SVM via Angular Regularization. IJCAI Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang
2017	A*	`conf`	Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. AAAI Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu
2017	—	`conf`	IoT Eye An Efficient System for Dynamic IoT Devices Auto-discovery on Organization Level. CSCloud Jie Shen, Ying Li, Bo Li, Hanteng Chen, Jianxin Li
2017	—	`conf`	Optimizing XCSR for Text Classification. SOSE Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal, Hao Peng
2017	A	`conf`	PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining. CIKM Yingjie Cao, Yangyang Zhang, Jianxin Li
2017	J	`jnl`	Parallel algorithms for anomalous subgraph detection. Concurr. Comput. Pract. Exp. Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju
2017	A*	`conf`	Proxies for Shortest Path and Distance Queries. ICDE Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai
2017	A*	`conf`	Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs. IJCAI Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li
2017	—	`conf`	RPS-TSM: A Robot Perception System Based on Temporal Semantic Map. SpaCCS Workshops Haoyue Wang, Yangyang Zhang, Jianxin Li, Richong Zhang, Md. Zakirul Alam Bhuiyan
2017	B	`conf`	Solving Social Media Text Classification Problems Using Code Fragment-Based XCSR. ICTAI Muhammad Hassan Arif, Jianxin Li, Muhammad Iqbal
2017	J	`jnl`	Stacked Kernel Network. CoRR Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan
2017	—	`conf`	Text Classification Using Lifelong Machine Learning. ICONIP (1) Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal
2017	J	`jnl`	Towards an efficient snapshot approach for virtual machines in clouds. Inf. Sci. Jianxin Li, Yangyang Zhang, Jingsheng Zheng, Hanqing Liu, Bo Li, Jinpeng Huai
2017	B	`conf`	User Interest Propagation and Its Application in Recommender System. ICTAI Xue Li, Richong Zhang, Jianxin Li
2016	J	`jnl`	Bursty event detection from microblog: a distributed and incremental approach. Concurr. Comput. Pract. Exp. Jianxin Li, Jianfeng Wen, Zhenying Tai, Richong Zhang, Weiren Yu
2016	—	`conf`	Eagle: An Agile Approach to Automaton Updating in Cloud Security Services. SOSE Hao Peng, Zhe Liu, Jie Shen, Xue Li, Hanteng Chen, Jianxin Li, Lu Liu
2016	A*	`conf`	Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. AAAI Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
2016	A*	`conf`	On the Representation and Embedding of Knowledge Bases beyond Binary Relations. IJCAI Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang
2016	J	`jnl`	On the representation and embedding of knowledge bases beyond binary relations. CoRR Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang
2016	J	`jnl`	Proxies for Shortest Path and Distance Queries. IEEE Trans. Knowl. Data Eng. Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai
2016	J	`jnl`	Speech Bandwidth Extension Using Recurrent Temporal Restricted Boltzmann Machines. IEEE Signal Process. Lett. Yingxue Wang, Shenghui Zhao, Jianxin Li, Jingming Kuang
2016	J	`jnl`	Toward a flexible and fine-grained access control framework for infrastructure as a service clouds. Secur. Commun. Networks Bo Li, Jianxin Li, Lu Liu, Chao Zhou
2016	J	`jnl`	iGraph: an incremental data processing system for dynamic graph. Frontiers Comput. Sci. Wuyang Ju, Jianxin Li, Weiren Yu, Richong Zhang
2015	—	`conf`	A Novel Anomaly Detection Approach for Mitigating Web-Based Attacks Against Clouds. CSCloud Simin Zhang, Bo Li, Jianxin Li, Mingming Zhang, Yang Chen
2015	J	`jnl`	CloudMon: a resource-efficient IaaS cloud monitoring system based on networked intrusion detection system virtual appliances. Concurr. Comput. Pract. Exp. Bo Li, Jianxin Li, Lu Liu
2015	—	`conf`	Discovering Event Evolution Chain in Microblog. HPCC/CSS/ICESS Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei
2015	—	`conf`	LiveIndex: A Distributed Online Index System for Temporal Microblog Data. HPCC/CSS/ICESS Haifei Huang, Jianxin Li, Richong Zhang, Weiren Yu, Wuyang Ju
2015	B	`conf`	PARS: A Page-Aware Replication System for Efficiently Storing Virtual Machine Snapshots. VEE Lei Cui, Tianyu Wo, Bo Li, Jianxin Li, Bin Shi, Jinpeng Huai
2015	—	`conf`	Prediction and Clustering of User Relationship in Social Network. UIC/ATC/ScalCom Peiyuan Sun, Shengli Liu, Nannan Wu, Bo Li, Jianxin Li
2015	—	`conf`	ShutterRoller: Preserving Social Network Privacy towards High-Speed Domain Gateway. CIT/IUCC/DASC/PICom Borui Yang, Jianxin Li, Lu Liu, Yingjie Cao, Hua Wei, Peiyuan Sun, Nannan Wu, Bo Li
2015	J	`jnl`	iMIG: Toward an Adaptive Live Migration Method for KVM Virtual Machines. Comput. J. Jianxin Li, Jieyu Zhao, Yi Li, Lei Cui, Bo Li, Lu Liu, John Panneerselvam
2014	B	`conf`	ConSnap: Taking continuous snapshots for running state protection of virtual machines. ICPADS Jianxin Li, Jingsheng Zheng, Lei Cui, Renyu Yang
2014	J	`jnl`	Distance Landmarks Revisited for Road Graphs. CoRR Shuai Ma, Kaiyu Feng, Haixun Wang, Jianxin Li, Jinpeng Huai
2014	—	`conf`	HotRestore: A Fast Restore System for Virtual Machine Cluster. LISA Lei Cui, Jianxin Li, Tianyu Wo, Bo Li, Renyu Yang, Yinglie Cao, Jinpeng Huai
2014	Misc	`conf`	NSLPA: A Node Similarity Based Label Propagation Algorithm for Real-Time Community Detection. UCC Qi Song, Bo Li, Weiren Yu, Jianxin Li, Bin Shi
2014	Misc	`conf`	Online Bursty Event Detection from Microblog. UCC Jianxin Li, Zhenying Tai, Richong Zhang, Weiren Yu, Lu Liu
2014	Misc	`conf`	Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach. UCC Lu Lin, Jianxin Li, Richong Zhang, Weiren Yu, Chenggen Sun
2014	—	`conf`	Shutter: Preventing Information Leakage Based on Domain Gateway for Social Networks. UIC/ATC/ScalCom Tao Wu, Jianxin Li, Nannan Wu, Tao Ou, Borui Yang, Bo Li
2014	—	`conf`	SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks. HPCC/CSS/ICESS Bin Shi, Bo Li, Lei Cui, Jieyu Zhao, Jianxin Li
2014	J	`jnl`	Virtual vignettes: the acquisition, analysis, and presentation of social network data. Sci. China Inf. Sci. Chris Howden, Lu Liu, Zhiyuan Li, Jianxin Li, Nick Antonopoulos
2013	J	`jnl`	CyberLiveApp: A secure sharing and migration approach for live virtual desktop applications in a cloud environment. Future Gener. Comput. Syst. Jianxin Li, Yu Jia, Lu Liu, Tianyu Wo
2013	—	`conf`	Faceted Search in Business Intelligence on the Cloud. GreenCom/iThings/CPScom Hussain Al-Aqrabi, Lu Liu, Richard Hill, Lei Cui, Jianxin Li
2013	J	`jnl`	HiTrust: building cross-organizational trust relationship based on a hybrid negotiation tree. Telecommun. Syst. Jianxin Li, Xudong Liu, Lu Liu, Dazhi Sun, Bo Li
2013	—	`conf`	HotSnap: A Hot Distributed Snapshot System For Virtual Machine Cluster. LISA Lei Cui, Bo Li, Yangyang Zhang, Jianxin Li
2013	—	`conf`	LoRe: Supporting Non-deterministic Events Logging and Replay for KVM Virtual Machines. HPCC/EUC Jianxin Li, Shouyu Si, Bo Li, Lei Cui, Jingsheng Zheng
2013	J	`jnl`	On the security and improvement of a two-factor user authentication scheme in wireless sensor networks. Pers. Ubiquitous Comput. Da-Zhi Sun, Jianxin Li, Zhiyong Feng, Zhen-Fu Cao, Guangquan Xu
2013	B	`conf`	VMScatter: migrate virtual machines to many hosts. VEE Lei Cui, Jianxin Li, Bo Li, Jinpeng Huai, Chunming Hu, Tianyu Wo, Hussain Al-Aqrabi, Lu Liu
2013	—	`conf`	iScreen: A Merged Screen of Local System with Remote Applications in a Mobile Cloud Environment. SOSE Jianxin Li, Qi Song, Weiren Yu, Chunming Hu, Jian Kang
2013	—	`conf`	vMON: An Efficient Out-of-VM Process Monitor for Virtual Machines. HPCC/EUC Nan Li, Bo Li, Jianxin Li, Tianyu Wo, Jinpeng Huai
2012	J	`jnl`	A note on asynchronous multi-exponentiation algorithm using binary representation. Inf. Process. Lett. Da-Zhi Sun, Jin-Peng Huai, Jianxin Li
2012	J	`jnl`	Adaptive Service Discovery on Service-Oriented and Spontaneous Sensor Systems. Ad Hoc Sens. Wirel. Networks Lu Liu, Jie Xu, Nick Antonopoulos, Jianxin Li, Kaigui Wu
2012	C	`conf`	Assessment and Evaluation of Internet-Based Virtual Computing Infrastructure. ISORC James Hardy, Lu Liu, Nick Antonopoulos, Weining Liu, Lei Cui, Jianxin Li
2012	J	`jnl`	CyberGuarder: A virtualization security assurance architecture for green cloud computing. Future Gener. Comput. Syst. Jianxin Li, Bo Li, Tianyu Wo, Chunming Hu, Jinpeng Huai, Lu Liu, K. P. Lam
2012	—	`conf`	NeTrOS: A Virtual Computing Environment towards Instant Service of Network Software. SKG Tianyu Wo, Chunming Hu, Jianxin Li, Jinpeng Huai
2012	—	`conf`	Performance Measurements in iVIC Virtual Machine Clones. AINA Workshops James Hardy, Lu Liu, Nik Bessis, Lei Cui, Jianxin Li
2012	B	`conf`	Software Aging in Virtualized Environments: Detection and Prediction. ICPADS Lei Cui, Bo Li, Jianxin Li, James Hardy, Lu Liu
2012	B	`conf`	iROW: An Efficient Live Snapshot System for Virtual Machine Disk. ICPADS Jianxin Li, Hanqing Liu, Lei Cui, Bo Li, Tianyu Wo
2011	—	`conf`	Building high-speed roads: Improving performance of SOAP processing for cloud services. SOSE Huang Liu, Xudong Liu, Jianxin Li, Yongwang Zhao, Zhuqing Li
2011	—	`conf`	Evaluation of server virtualization technologies for Green IT. SOSE Lu Liu, Osama Masfary, Jianxin Li
2011	B	`conf`	Muse: a multimedia streaming enabled remote interactivity system for mobile devices. MUM Weiren Yu, Jianxin Li, Chunming Hu, Liang Zhong
2011	C	`conf`	SCENETester: A Testing Framework to Support Fault Diagnosis for Web Service Composition. CIT Zekun Zhu, Jianxin Li, Yongwang Zhao, Zhuqing Li
2011	—	`conf`	Soft-Union: An Overlay Based Efficient Software P2P Distribution Scheme. IEEE CLOUD Liang Zhong, Chunming Hu, Tianyu Wo, Jianxin Li, Weiji Zeng
2011	C	`conf`	WSRank: A Collaborative Ranking Approach for Web Service Selection. CIT Linlin Meng, Jianxin Li, Hailong Sun
2010	—	`conf`	A Fuzzy-Based Dynamic Provision Approach for Virtualized Network Intrusion Detection Systems. AST/UCMA/ISA/ACN Bo Li, Jianxin Li, Tianyu Wo, Xudong Wu, Junaid Arshad, Wantao Liu
2010	B	`conf`	A VMM-Based System Call Interposition Framework for Program Monitoring. ICPADS Bo Li, Jianxin Li, Tianyu Wo, Chunming Hu, Liang Zhong
2010	—	`conf`	A Virtualization-Based SaaS Enabling Architecture for Cloud Computing. ICAS Liang Zhong, Tianyu Wo, Jianxin Li, Bo Li
2010	J	`jnl`	A secure collaboration service for dynamic virtual organizations. Inf. Sci. Jianxin Li, Jinpeng Huai, Chunming Hu, Yanmin Zhu
2010	C	`conf`	CloudVO: Building a Secure Virtual Organization for Multiple Clouds Collaboration. SNPD Jianxin Li, Bo Li, Zongxia Du, Linlin Meng
2010	—	`conf`	HiTrust: A Hybrid Tree Based Trust Negotiation Service. AINA Workshops Jianxin Li, Bo Li, Linlin Meng, Dazhi Sun
2010	—	`conf`	PASCAL: A Protocol-Based Approach for Service Composition and Dependable Optimization. SOSE Huipeng Guo, Xudong Liu, Zongxia Du, Jianxin Li, Mu Li
2010	B	`conf`	Resilient Virtual Network Service Provision in Network Virtualization Environments. ICPADS Yang Chen, Jianxin Li, Tianyu Wo, Chunming Hu, Wantao Liu
2009	J	`jnl`	A negotiation-based trust establishment service for CROWN grid. Int. J. Auton. Adapt. Commun. Syst. Jianxin Li, Jinpeng Huai, Li Lin
2009	J	`jnl`	Context-aware trust negotiation in peer-to-peer service collaborations. Peer-to-Peer Netw. Appl. Jianxin Li, Dacheng Zhang, Jinpeng Huai, Jie Xu
2009	J	`jnl`	Cryptanalysis of a mutual authentication scheme based on nonce and smart cards. Comput. Commun. Da-Zhi Sun, Jin-Peng Huai, Jizhou Sun, Jianxin Li
2009	—	`conf`	EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments. IEEE CLOUD Bo Li, Jianxin Li, Jinpeng Huai, Tianyu Wo, Qin Li, Liang Zhong
2009	J	`jnl`	Improvements of Juang 's Password-Authenticated Key Agreement Scheme Using Smart Cards. IEEE Trans. Ind. Electron. Da-Zhi Sun, Jin-Peng Huai, Jizhou Sun, Jianxin Li, Jiawan Zhang, Zhiyong Feng
2008	J	`jnl`	CROWN-C: A High-Assurance Service-Oriented Grid Middleware System. Computer Paul Townend, Jinpeng Huai, Jie Xu, Nik Looker, Dacheng Zhang, Jianxin Li, Liang Zhong
2008	C	`conf`	CROWN: A Service-Oriented Grid Middleware System: Experience and Applications. ISORC Jinpeng Huai, Chunming Hu, Tianyu Wo, Jianxin Li
2008	—	`conf`	HyperMIP: Hypervisor Controlled Mobile IP for Virtual Machine Live Migration across Networks. HASE Qin Li, Jinpeng Huai, Jianxin Li, Tianyu Wo, Minxiong Wen
2008	A	`conf`	Web Service-Based Business Process Development, Threat Modeling and Security Assessment Tool. ICWS Jianxin Li, Teodor Sommestad, Patrick C. K. Hung, Xiang Li
2008	—	`conf`	Web Service-Based Business Process Development, Threat Modeling and Security Assessment Tool. SERVICES II Jianxin Li, Teodor Sommestad, Patrick C. K. Hung, Xiang Li
2007	—	`conf`	CROWN-C: A High-Assurance Service-Oriented Grid Middleware System. HASE Paul Townend, Nik Looker, Dacheng Zhang, Jie Xu, Jianxin Li, Liang Zhong, Jinpeng Huai
2007	B	`conf`	PEACE-VO: A Secure Policy-Enabled Collaboration Framework for Virtual Organizations. SRDS Jianxin Li, Jinpeng Huai, Chunming Hu
2007	J	`jnl`	ROST: Remote and hot service deployment with trustworthiness in CROWN Grid. Future Gener. Comput. Syst. Jinpeng Huai, Hailong Sun, Chunming Hu, Yanmin Zhu, Yunhao Liu, Jianxin Li
2006	B	`conf`	CROWN-ST: A Security and Trustworthiness Architecture for CROWN. e-Science Qin Li, Jianxin Li, Jinpeng Huai, Xingang Liu, Chunming Hu
2006	J	`jnl`	CROWN: A service grid middleware with trust management mechanism. Sci. China Ser. F Inf. Sci. Jinpeng Huai, Chunming Hu, Jianxin Li, Hailong Sun, Tianyu Wo
2006	B	`conf`	TOWER: Practical Trust Negotiation Framework for Grids. e-Science Jianxin Li, Jinpeng Huai, Jie Xu, Yanmin Zhu, Wei Xue
2005	—	`conf`	Early Experience of Remote and Hot Service Deployment with Trustworthiness in CROWN Grid. APPT Hailong Sun, Yanmin Zhu, Chunming Hu, Jinpeng Huai, Yunhao Liu, Jianxin Li
2005	—	`conf`	Towards Security Analysis to Binding Update Protocol in Mobile IPv6 with Formal Method. MSN Jianxin Li, Jinpeng Huai, Qin Li, Xianxian Li