Guodong Long - RankMe

320 papers A* 74A 10B 16C 3Misc 4Journal 163Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach. AAAI Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2026	J	`jnl`	FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models. CoRR Haoyang Li, Liang Wang, Siyu Zhou, Jiacheng Sun, Jing Jiang, Chao Wang, Guodong Long, Yan Peng
2026	A*	`conf`	FedMerge: Federated Model Merging for Personalization. AAAI Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2026	A*	`conf`	Federated Vision-Language-Recommendation with Personalized Fusion. AAAI Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang
2026	A*	`conf`	Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. WWW Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026	J	`jnl`	Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. CoRR Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026	J	`jnl`	Meta-FC: Meta-Learning with Feature Consistency for Robust and Generalizable Watermarking. CoRR Yuheng Li, Weitong Chen, Chengcheng Zhu, Jiale Zhang, Chunpeng Ge, Di Wu, Guodong Long
2026	A*	`conf`	Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. WWW Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2025	—	`conf`	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. KDD (2) Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025	—	`conf`	AI for Women's Health: Framework and Focus Areas. WWW (Companion Volume) Jie Lu, Angela Dawson, Kairui Guo, Deborah Fox, Fahimeh Ramezani, Susan Morton, Kathleen Baird, Zelia Soo, Kezhi Lu, Guodong Long, Debra Anderson
2025	J	`jnl`	Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. IEEE Trans. Knowl. Data Eng. Xiaoyu Li, Yitian Zhang, Guodong Long, Yupeng Hu, Wenpeng Lu, Meng Chen, Chengqi Zhang, Yongshun Gong
2025	A*	`conf`	Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. WWW Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2025	J	`jnl`	Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach. CoRR Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2025	—	`ed.`	Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 WWW (Companion Volume) Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov
2025	A*	`conf`	DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models. CVPR Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long
2025	J	`jnl`	DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models. CoRR Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long
2025	A*	`conf`	Distilling A Universal Expert from Clustered Federated Learning. IJCAI Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025	J	`jnl`	Distilling A Universal Expert from Clustered Federated Learning. CoRR Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025	—	`conf`	FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025. WWW (Companion Volume) Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu
2025	J	`jnl`	FeDaL: Federated Dataset Learning for Time Series Foundation Models. CoRR Shengchao Chen, Guodong Long, Jing Jiang
2025	J	`jnl`	FedMerge: Federated Personalization via Model Merging. CoRR Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Federated Adapter on Foundation Models: An Out-Of-Distribution Approach. CoRR Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye, Jing Jiang
2025	A*	`conf`	Federated Foundation Models on Heterogeneous Time Series. AAAI Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2025	—	`conf`	Federated Intelligence in Web: A Tutorial. WWW (Companion Volume) Peng Yan, Shengchao Chen, Guodong Long
2025	A*	`conf`	Federated Low-Rank Adaptation for Foundation Models: A Survey. IJCAI Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Federated Low-Rank Adaptation for Foundation Models: A Survey. CoRR Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Guest Editorial: Special Issue on Trustworthy Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Yang, Han Yu, Sin G. Teo, Bo Li, Guodong Long, Chao Jin, Lixin Fan, Yang Liu, Le Zhang
2025	J	`jnl`	Learn to Preserve Personality: Federated Foundation Models in Recommendations. CoRR Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang
2025	A	`conf`	MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language Models. ICME Haoyang Li, Siyu Zhou, Liang Wang, Guodong Long
2025	J	`jnl`	MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language Models. CoRR Haoyang Li, Siyu Zhou, Liang Wang, Guodong Long
2025	B	`conf`	MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. IJCNN Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Chengqi Zhang, Allison Clarke, Clement Schlegel
2025	—	`conf`	MedShort: Medicine Shortage Detection on Social Media with Privacy Preservation. WWW (Companion Volume) Xueping Peng, Peng Yan, Tao Shen, Ming Xie, Guodong Long
2025	A*	`conf`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. AAAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2025	J	`jnl`	Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. CoRR Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2025	A*	`conf`	Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. AAAI Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. CoRR Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. IEEE Trans. Knowl. Data Eng. Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	A*	`ed.`	Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 WWW Guodong Long, Michale Blumestein, Yi Chang, Liane Lewin-Eytan, Zi Helen Huang, Elad Yom-Tov
2025	J	`jnl`	Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models. CoRR Haoyang Li, Liang Wang, Chao Wang, Siyu Zhou, Jing Jiang, Yan Peng, Guodong Long
2025	J	`jnl`	WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents. CoRR Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2025	—	`conf`	cFedLAD: A Clustered Additive LoRA Framework for Robust and Personalized Federated Learning. AI (1) Qi Cheng, Peng Yan, Guodong Long
2025	—	`conf`	cFedLoRA: Clustered Aggregation for Federated LoRA. ADMA (1) Qi Cheng, Peng Yan, Guodong Long
2025	A*	`conf`	eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. WWW Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, Jianxun Liu, Guodong Long
2024	J	`jnl`	A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowl. Based Syst. Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang
2024	A*	`conf`	BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. IJCAI Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long
2024	J	`jnl`	Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. CoRR Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2024	—	`conf`	Boosting Patient Representation Learning via Graph Contrastive Learning. ECML/PKDD (9) Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim
2024	—	`conf`	CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification. EACL (1) Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang
2024	—	`conf`	Claimsformer: Pretrained Transformer for Administrative Claims Data to Predict Chronic Conditions. AI (2) Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
2024	A	`conf`	Client-Supervised Federated Learning: Towards One-Model-for-All Personalization. ICME Peng Yan, Guodong Long
2024	J	`jnl`	Client-supervised Federated Learning: Towards One-model-for-all Personalization. CoRR Peng Yan, Guodong Long
2024	J	`jnl`	DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks. CoRR Hao Sui, Bing Chen, Jiale Zhang, Chengcheng Zhu, Di Wu, Qinghua Lu, Guodong Long
2024	A*	`conf`	Dual-Personalizing Adapter for Federated Foundation Models. NeurIPS Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein
2024	J	`jnl`	Dual-Personalizing Adapter for Federated Foundation Models. CoRR Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein
2024	J	`jnl`	Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2024	J	`jnl`	Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid
2024	J	`jnl`	Exploring explicit and implicit graph learning for multivariate time series imputation. Eng. Appl. Artif. Intell. Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2024	—	`conf`	Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information. EMNLP (Findings) Guobiao Zhang, Xueping Peng, Tao Shen, Guodong Long, Jiasheng Si, Libo Qin, Wenpeng Lu
2024	—	`conf`	FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) Irwin King, Guodong Long, Zenglin Xu, Han Yu
2024	J	`jnl`	FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding. IEEE Trans. Big Data Fengwen Chen, Guodong Long
2024	A*	`conf`	Federated Adaptation for Foundation Model-based Recommendations. IJCAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	J	`jnl`	Federated Adaptation for Foundation Model-based Recommendations. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	J	`jnl`	Federated Foundation Models on Heterogeneous Time Series. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	Federated Prompt Learning for Weather Foundation Models on Devices. IJCAI Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	Federated Recommendation with Additive Personalization. ICLR Zhiwei Li, Guodong Long, Tianyi Zhou
2024	A*	`conf`	Fine-Grained Distillation for Long Document Retrieval. AAAI Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang
2024	A*	`conf`	GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024	J	`jnl`	Influence-oriented Personalized Federated Learning. CoRR Yue Tan, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Multi-Level Additive Modeling for Structured Non-IID Federated Learning. CoRR Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	J	`jnl`	Navigating the Future of Federated Recommendation Systems with Foundation Models. CoRR Zhiwei Li, Guodong Long
2024	A*	`conf`	Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. NeurIPS Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. CoRR Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Interpretation on Federated Learning: A Virtual Concepts approach. CoRR Peng Yan, Guodong Long, Jing Jiang, Michael Blumenstein
2024	J	`jnl`	Personalized Item Representations in Federated Multimodal Recommendation. CoRR Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang
2024	—	`conf`	Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. LREC/COLING Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang
2024	A*	`conf`	Re-Reading Improves Reasoning in Large Language Models. EMNLP Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma
2024	—	`conf`	Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. ACL (Findings) Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang
2024	—	`conf`	Synergistic Interplay between Search and Large Language Models for Information Retrieval. ACL (1) Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang
2024	A*	`conf`	The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence. IJCAI Guodong Long
2024	J	`jnl`	Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond. CoRR Qi Wang, Jindong Li, Shiqi Wang, Qianli Xing, Runliang Niu, He Kong, Rui Li, Guodong Long, Yi Chang, Chengqi Zhang
2024	J	`jnl`	TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
2024	J	`jnl`	WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. CoRR Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. IJCAI Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2024	J	`jnl`	What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. CoRR Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2024	A*	`conf`	When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2023	J	`jnl`	Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2023	J	`jnl`	Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	Causal Reinforcement Learning: A Survey. CoRR Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2023	J	`jnl`	Causal Reinforcement Learning: A Survey. Trans. Mach. Learn. Res. Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
2023	—	`conf`	Concept-Guided Interpretable Federated Learning. AI (2) Jianan Yang, Guodong Long
2023	A*	`conf`	Continual Task Allocation in Meta-Policy Network via Sparse Prompting. ICML Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
2023	J	`jnl`	Continual Task Allocation in Meta-Policy Network via Sparse Prompting. CoRR Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
2023	J	`jnl`	Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. CoRR Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
2023	A*	`conf`	Does Continual Learning Equally Forget All Parameters? ICML Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	Does Continual Learning Equally Forget All Parameters? CoRR Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	A*	`conf`	Dual Personalization on Federated Recommendation. IJCAI Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	J	`jnl`	Dual Personalization on Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	A*	`conf`	Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2023	J	`jnl`	Federated Recommendation with Additive Personalization. CoRR Zhiwei Li, Guodong Long, Tianyi Zhou
2023	J	`jnl`	Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
2023	—	`conf`	From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2023	J	`jnl`	Graph-guided Personalization for Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
2023	J	`jnl`	IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
2023	A	`conf`	Improving Cross-modal Alignment for Text-Guided Image Inpainting. EACL Yucheng Zhou, Guodong Long
2023	J	`jnl`	Improving Cross-modal Alignment for Text-Guided Image Inpainting. CoRR Yucheng Zhou, Guodong Long
2023	—	`conf`	Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation. ADMA (5) Weikuan Wang, Tao Shen, Michael Blumenstein, Guodong Long
2023	—	`conf`	Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023	J	`jnl`	Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
2023	A*	`conf`	Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
2023	J	`jnl`	Knowledge Refinement via Interaction Between Search Engines and Large Language Models. CoRR Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang
2023	J	`jnl`	Large Language Models are Strong Zero-Shot Retriever. CoRR Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang
2023	J	`jnl`	Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
2023	—	`conf`	Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data. ADMA (3) Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
2023	A	`conf`	Multimodal Event Transformer for Image-guided Story Ending Generation. EACL Yucheng Zhou, Guodong Long
2023	J	`jnl`	Multimodal Event Transformer for Image-guided Story Ending Generation. CoRR Yucheng Zhou, Guodong Long
2023	J	`jnl`	Neural Time Series Analysis with Fourier Transform: A Survey. CoRR Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
2023	J	`jnl`	One-Shot Pruning for Fast-adapting Pre-trained Models on Devices. CoRR Haiyan Zhao, Guodong Long
2023	A	`conf`	Personalization Disentanglement for Federated Learning. ICME Peng Yan, Guodong Long
2023	J	`jnl`	Personalization Disentanglement for Federated Learning. CoRR Peng Yan, Guodong Long
2023	A*	`conf`	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. IJCAI Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
2023	J	`jnl`	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. CoRR Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
2023	J	`jnl`	Re-Reading Improves Reasoning in Language Models. CoRR Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jianguang Lou
2023	—	`conf`	Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding. ADMA (3) Yang Wang, Xueping Peng, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin, Guodong Long
2023	J	`jnl`	Spatial-temporal Prompt Learning for Federated Weather Forecasting. CoRR Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang
2023	A*	`conf`	Structured Federated Learning through Clustered Additive Modeling. NeurIPS Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	—	`conf`	Style-Aware Contrastive Learning for Multi-Style Image Captioning. EACL (Findings) Yucheng Zhou, Guodong Long
2023	J	`jnl`	Style-Aware Contrastive Learning for Multi-Style Image Captioning. CoRR Yucheng Zhou, Guodong Long
2023	J	`jnl`	Thread of Thought Unraveling Chaotic Contexts. CoRR Yucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, Jianbing Shen
2023	—	`conf`	Towards Robust Ranker for Text Retrieval. ACL (Findings) Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang
2023	J	`jnl`	UbiMeta: A Ubiquitous Operating System Model for Metaverse. Int. J. Crowd Sci. Yiqiang Chen, Wuliang Huang, Xinlong Jiang, Teng Zhang, Yi Wang, Bingjie Yan, Zhirui Wang, Qian Chen, Yunbing Xing, Dong Li, Guodong Long
2023	A*	`conf`	UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang
2023	—	`conf`	Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	J	`jnl`	Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2023	—	`conf`	WeightRelay: Efficient Heterogeneous Federated Learning on Time Series. AI (1) Wensi Tang, Guodong Long
2022	Misc	`ed.`	AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings AI Guodong Long, Xinghuo Yu, Sen Wang
2022	—	`conf`	Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. ICONIP (5) Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
2022	C	`ed.`	Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I ADMA Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu
2022	C	`ed.`	Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II ADMA Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu
2022	Misc	`conf`	Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2022	J	`jnl`	CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification. CoRR Yang Li, Canran Xu, Tao Shen, Jing Jiang, Guodong Long
2022	—	`conf`	ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL (1) Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang
2022	J	`jnl`	ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. CoRR Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang
2022	J	`jnl`	Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang
2022	A*	`conf`	EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
2022	A*	`conf`	EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang
2022	J	`jnl`	Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels. CoRR Zhuowei Wang, Tianyi Zhou, Guodong Long, Bo Han, Jing Jiang
2022	A*	`conf`	FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
2022	—	`conf`	Federated Learning Operations (FLOps): Challenges, Lifecycle and Approaches. TAAI Qi Cheng, Guodong Long
2022	A*	`conf`	Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. NeurIPS Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
2022	J	`jnl`	Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. CoRR Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
2022	J	`jnl`	Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2022	J	`jnl`	Fine-Grained Distillation for Long Document Retrieval. CoRR Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang
2022	—	`conf`	Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. NAACL-HLT (Findings) Yang Li, Guodong Long, Tao Shen, Jing Jiang
2022	J	`jnl`	Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2022	A*	`conf`	Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
2022	J	`jnl`	On the Convergence of Clustered Federated Learning. CoRR Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
2022	J	`jnl`	Personalized Federated Learning With Structure. CoRR Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2022	A*	`conf`	Personalized Federated Learning With a Graph. IJCAI Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
2022	—	`conf`	Personalized Federated Learning with Robust Clustering Against Model Poisoning. ADMA (2) Jie Ma, Ming Xie, Guodong Long
2022	—	`conf`	Positive Unlabeled Learning by Sample Selection and Prototype Refinement. ADMA (1) Zhuowei Wang, Guodong Long
2022	B	`conf`	Positive Unlabeled Learning by Semi-Supervised Learning. ICIP Zhuowei Wang, Jing Jiang, Guodong Long
2022	—	`conf`	Robust Clustered Federated Learning with Bootstrap Median-of-Means. APWeb/WAIM (1) Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang
2022	J	`jnl`	SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
2022	J	`jnl`	Towards Robust Ranker for Text Retrieval. CoRR Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang
2022	—	`conf`	Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. NAACL-HLT Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang
2022	J	`jnl`	Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI. CoRR Chenglin Wang, Yucheng Zhou, Guodong Long, Xiaodong Wang, Xiaowei Xu
2021	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2021	A*	`conf`	A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2021	J	`jnl`	Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2021	A*	`conf`	CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2021	—	`conf`	Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP (Findings) Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021	J	`jnl`	Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2021	J	`jnl`	Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning. CoRR Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid
2021	J	`jnl`	Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. CoRR Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu
2021	J	`jnl`	Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. Neural Networks Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu
2021	J	`jnl`	EventBERT: A Pre-Trained Model for Event Correlation Reasoning. CoRR Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang
2021	J	`jnl`	Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. ACM Trans. Knowl. Discov. Data Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao
2021	J	`jnl`	FedProto: Federated Prototype Learning over Heterogeneous Devices. CoRR Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang
2021	J	`jnl`	Federated Learning for Open Banking. CoRR Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
2021	J	`jnl`	Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health. CoRR Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang
2021	—	`conf`	Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction. ICONIP (2) Yang Zhang, Risa Higashita, Guodong Long, Rong Li, Daisuke Santo, Jiang Liu
2021	J	`jnl`	Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. CoRR Yang Li, Guodong Long, Tao Shen, Jing Jiang
2021	A*	`conf`	Isometric Propagation Network for Generalized Zero-shot Learning. ICLR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021	J	`jnl`	Isometric Propagation Network for Generalized Zero-shot Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
2021	—	`conf`	Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network. OMIA@MICCAI Yang Zhang, Risa Higashita, Yanwu Xu, Daisuke Santo, Yan Hu, Guodong Long, Jiang Liu
2021	J	`jnl`	MHieR-encoder: Modelling the high-frequency changes across stocks. Knowl. Based Syst. Zhineng Fu, Weijun Xu, Ruiqi Hu, Guodong Long, Jing Jiang
2021	J	`jnl`	MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang
2021	—	`conf`	Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. ACL/IJCNLP (1) Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang
2021	A*	`conf`	Sequential Diagnosis Prediction with Transformer and Ontological Representation. ICDM Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
2021	J	`jnl`	Sequential Diagnosis Prediction with Transformer and Ontological Representation. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
2021	A*	`conf`	Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
2021	J	`jnl`	Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang
2021	A*	`conf`	Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	J	`jnl`	Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	J	`jnl`	TraverseNet: Unifying Space and Time in Message Passing. CoRR Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
2020	J	`jnl`	A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2020	J	`jnl`	AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng
2020	A*	`conf`	Attribute Propagation Network for Graph Zero-Shot Learning. AAAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Attribute Propagation Network for Graph Zero-shot Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	A*	`conf`	BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. ICDM Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Clustering social audiences in business information networks. Pattern Recognit. Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan
2020	A	`conf`	Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang
2020	—	`conf`	Confusable Learning for Large-Class Few-Shot Classification. ECML/PKDD (2) Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
2020	J	`jnl`	Confusable Learning for Large-class Few-Shot Classification. CoRR Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
2020	A*	`conf`	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	J	`jnl`	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
2020	A*	`conf`	Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
2020	J	`jnl`	Cooperative Heterogeneous Deep Reinforcement Learning. CoRR Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
2020	A*	`conf`	Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. ICDM Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long
2020	J	`jnl`	Decentralized Knowledge Acquisition for Mobile Internet Applications. World Wide Web Jing Jiang, Shaoxiong Ji, Guodong Long
2020	A*	`conf`	Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
2020	—	`conf`	Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. EMNLP (1) Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
2020	J	`jnl`	Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. CoRR Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
2020	—	`ch.`	Federated Learning for Open Banking. Federated Learning Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
2020	A*	`conf`	Going Deep: Graph Convolutional Ladder-Shape Networks. AAAI Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2020	B	`conf`	Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020	J	`jnl`	Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
2020	B	`conf`	Interpretable Time-series Classification on Few-shot Samples. IJCNN Wensi Tang, Lu Liu, Guodong Long
2020	J	`jnl`	Interpretable Time-series Classification on Few-shot Samples. CoRR Wensi Tang, Lu Liu, Guodong Long
2020	J	`jnl`	Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang
2020	J	`jnl`	Multi-Center Federated Learning. CoRR Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
2020	A*	`conf`	One-Shot Learning for Long-Tail Visual Relation Detection. AAAI Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen
2020	B	`conf`	RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. COLING Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. CoRR Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2020	J	`jnl`	Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. CoRR Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein
2020	J	`jnl`	Self-Attention Enhanced Patient Journey Understanding in Healthcare System. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
2020	A*	`conf`	Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2020	—	`conf`	Self-attention Enhanced Patient Journey Understanding in Healthcare System. ECML/PKDD (3) Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
2020	J	`jnl`	Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
2020	J	`jnl`	SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. CoRR Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
2019	J	`jnl`	A Comprehensive Survey on Graph Neural Networks. CoRR Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu
2019	B	`conf`	Adversarial Action Data Augmentation for Similar Gesture Action Recognition. IJCNN Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein
2019	B	`conf`	Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. IJCNN Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu
2019	A*	`conf`	Attributed Graph Clustering: A Deep Attentional Embedding Approach. IJCAI Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Attributed Graph Clustering: A Deep Attentional Embedding Approach. CoRR Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
2019	A*	`conf`	Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang
2019	J	`jnl`	Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation. IEEE Trans. Ind. Electron. Xinxin Jiang, Shirui Pan, Guodong Long, Fei Xiong, Jing Jiang, Chengqi Zhang
2019	B	`conf`	DAGCN: Dual Attention Graph Convolutional Networks. IJCNN Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long
2019	J	`jnl`	DAGCN: Dual Attention Graph Convolutional Networks. CoRR Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long
2019	J	`jnl`	Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care. CoRR Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang, Xue Li
2019	—	`conf`	Detecting Suicidal Ideation with Data Protection in Online Communities. DASFAA (3) Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang
2019	A*	`conf`	Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
2019	J	`jnl`	Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. CoRR Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang
2019	A*	`conf`	Graph WaveNet for Deep Spatial-Temporal Graph Modeling. IJCAI Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Graph WaveNet for Deep Spatial-Temporal Graph Modeling. CoRR Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
2019	Misc	`conf`	Interactive Deep Metric Learning for Healthcare Cohort Discovery. AusDM Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard
2019	J	`jnl`	Learning Graph Embedding with Adversarial Training Methods. CoRR Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
2019	B	`conf`	Learning Private Neural Language Modeling with Attentive Aggregation. IJCNN Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang
2019	A*	`conf`	Learning to Propagate for Graph Meta-Learning. NeurIPS Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019	J	`jnl`	Learning to Propagate for Graph Meta-Learning. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2019	—	`conf`	Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang
2019	J	`jnl`	Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. CoRR Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang
2019	A*	`conf`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	J	`jnl`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	J	`jnl`	Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2019	J	`jnl`	Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. CoRR Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2019	J	`jnl`	Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. CoRR Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang
2019	A*	`conf`	Temporal Self-Attention Network for Medical Concept Embedding. ICDM Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein
2019	J	`jnl`	Temporal Self-Attention Network for Medical Concept Embedding. CoRR Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein
2019	—	`conf`	Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. NAACL-HLT (1) Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	A*	`conf`	Adversarially Regularized Graph Autoencoder for Graph Embedding. IJCAI Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018	J	`jnl`	Adversarially Regularized Graph Autoencoder. CoRR Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018	—	`conf`	Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. ICLR (Poster) Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	J	`jnl`	Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	B	`conf`	Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. IJCNN Xinxin Jiang, Shirui Pan, Guodong Long, Jiang Chang, Jing Jiang, Chengqi Zhang
2018	B	`conf`	Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction. IJCNN Xinxin Jiang, Shirui Pan, Jing Jiang, Guodong Long
2018	A*	`conf`	DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. AAAI Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2018	J	`jnl`	Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
2018	J	`jnl`	Dual influence embedded social recommendation. World Wide Web Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang
2018	A*	`conf`	Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. ICDM Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li
2018	J	`jnl`	Fast Directional Self-Attention Mechanism. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2018	J	`jnl`	Learning Private Neural Language Modeling with Attentive Aggregation. CoRR Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang
2018	A*	`conf`	Multi-modality Sensor Data Classification with Selective Attention. IJCAI Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018	J	`jnl`	Multi-modality Sensor Data Classification with Selective Attention. CoRR Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018	A*	`conf`	NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018	J	`jnl`	NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018	A*	`conf`	Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. IJCAI Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2018	J	`jnl`	Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
2018	J	`jnl`	Supervised Learning for Suicidal Ideation Detection in Online User Content. Complex. Shaoxiong Ji, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Guodong Long
2018	A*	`conf`	Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. AAAI Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long
2018	J	`jnl`	Universal Network Representation for Heterogeneous Information Networks. CoRR Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
2017	J	`jnl`	Boosting for graph classification with universum. Knowl. Inf. Syst. Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017	J	`jnl`	Collective Hyping Detection System for Identifying Online Spam Activities. IEEE Intell. Syst. Qinzhe Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2017	J	`jnl`	DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding. CoRR Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang
2017	A	`conf`	Graph Ladder Networks for Network Classification. CIKM Ruiqi Hu, Shirui Pan, Jing Jiang, Guodong Long
2017	J	`jnl`	Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Trans. Knowl. Discov. Data Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng, Guodong Long
2017	A	`conf`	MGAE: Marginalized Graph Autoencoder for Graph Clustering. CIKM Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang
2017	J	`jnl`	Safe Medicine Recommendation via Medical Knowledge Graph Embedding. CoRR Meng Wang, Mengyue Liu, Jun Liu, Sen Wang, Guodong Long, Buyue Qian
2017	J	`jnl`	Task Sensitive Feature Exploration and Learning for Multitask Graph Classification. IEEE Trans. Cybern. Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017	B	`conf`	Universal network representation for heterogeneous information networks. IJCNN Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long
2016	B	`conf`	Co-clustering enterprise social networks. IJCNN Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang
2016	J	`jnl`	Compact representation for large-scale unconstrained video analysis. World Wide Web Sen Wang, Pingbo Pan, Guodong Long, Weitong Chen, Xue Li, Quan Z. Sheng
2016	J	`jnl`	Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding. IEEE Trans. Knowl. Data Eng. Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, Quan Z. Sheng
2016	A*	`conf`	Dynamic Concept Composition for Zero-Example Event Detection. AAAI Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann
2016	J	`jnl`	Dynamic Concept Composition for Zero-Example Event Detection. CoRR Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann
2016	B	`conf`	Evolutionary lazy learning for Naive Bayes classification. IJCNN Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long
2016	—	`conf`	Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. PAKDD (1) Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
2016	A	`conf`	Global and Local Influence-based Social Recommendation. CIKM Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang
2016	A*	`conf`	Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. ICDM Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016	J	`jnl`	Multiple graph unsupervised feature selection. Signal Process. Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long, Lei Zhao
2016	J	`jnl`	Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2016	A*	`conf`	Robust Semi-Supervised Learning through Label Aggregation. AAAI Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
2016	J	`jnl`	Towards Anomalous Diffusion Sources Detection in a Large Network. ACM Trans. Internet Techn. Peng Zhang, Jing He, Guodong Long, Guangyan Huang, Chengqi Zhang
2015	A*	`conf`	Coupled Collaborative Filtering for Context-aware Recommendation. AAAI Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long
2015	C	`conf`	Discovering Sequential Rental Patterns by Fleet Tracking. ICDS Xinxin Jiang, Xueping Peng, Guodong Long
2015	J	`jnl`	Finding the best not the most: regularized loss minimization subgraph selection for graph classification. Pattern Recognit. Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2015	—	`conf`	Invariant Event Tracking on Social Networks. DASFAA (2) Sayan Unankard, Xue Li, Guodong Long
2015	Misc	`conf`	SocialTrail: Recommending Social Trajectories from Location-Based Social Networks. ADC Qinzhe Zhang, Litao Yu, Guodong Long
2015	A*	`conf`	Towards Mining Trapezoidal Data Streams. ICDM Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2014	—	`—`	Instance-based and feature-based classification enhancement for short & sparse texts Guodong Long
2013	—	`conf`	Graph Based Feature Augmentation for Short and Sparse Text Classification. ADMA (1) Guodong Long, Jing Jiang
2013	B	`conf`	Optimal Cloud Resource Auto-Scaling for Web Applications. CCGRID Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long
2012	A	`conf`	TCSST: transfer classification of short & sparse text using external data. CIKM Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang
2011	B	`conf`	Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop. SERVICES Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long