Jing Jiang - RankMe

181 papers A* 47A 3B 13C 5Misc 6Journal 95Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite. CoRR Chang Shao, Qi Zhao, Nana Pu, Shi Cheng, Jing Jiang, Yuhui Shi
2026	J	`jnl`	Benchmarking continuous dynamic multi-objective optimization: Survey and generalized test suite. Swarm Evol. Comput. Chang Shao, Qi Zhao, Nana Pu, Shi Cheng, Jing Jiang, Yuhui Shi
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
2025	—	`conf`	A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. WWW (Companion Volume) Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
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	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	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	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`	Gemini+: Enhancing Real-Time Video Analytics With Dual-Image FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingrou Wu, Chuang Hu, Jin Zhang, Dan Wang, Jing Jiang
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`	P ACM Multimedia Jingrou Wu, Haoxian Liu, Jin Zhang, Dan Wang, Jing Jiang
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`	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
2024	J	`jnl`	A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. CoRR Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
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	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	A*	`conf`	Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CVPR Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
2024	J	`jnl`	False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
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	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	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	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
2023	A*	`conf`	Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
2023	J	`jnl`	Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
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	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	J	`jnl`	Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CoRR Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
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`	Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
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	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`	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	A*	`conf`	Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin
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
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`	An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu
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	Misc	`conf`	BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning. AI Yijun Yang, Jing Jiang, Zhuowei Wang, Qiqi Duan, Yuhui Shi
2022	J	`jnl`	CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification. CoRR Yang Li, Canran Xu, Tao Shen, Jing Jiang, Guodong Long
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	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	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	—	`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	Misc	`conf`	Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling. AI Yang Wang, Xueping Peng, Allison Clarke, Clement Schlegel, 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	A*	`conf`	Pareto Policy Pool for Model-based Offline Reinforcement Learning. ICLR Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi
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	B	`conf`	Positive Unlabeled Learning by Semi-Supervised Learning. ICIP Zhuowei Wang, Jing Jiang, Guodong Long
2022	Misc	`conf`	Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning. AI Leah Gerrard, Xueping Peng, Allison Clarke, Clement Schlegel, Jing Jiang
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`	Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma
2021	C	`conf`	A Green Pipeline for Out-of-Domain Public Sentiment Analysis. ADMA Ming Xie, Jing Jiang, Tao Shen, Yang Wang, Leah Gerrard, Allison Clarke
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	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`	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	C	`conf`	Generalized Test Suite for Continuous Dynamic Multi-objective Optimization. EMO Chang Shao, Qi Zhao, Yuhui Shi, Jing Jiang
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	J	`jnl`	IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang
2021	Misc	`conf`	Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao
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	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`	SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing 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	J	`jnl`	Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
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	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	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	—	`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	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	A*	`conf`	MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020	J	`jnl`	MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
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`	Multi-Center Federated Learning. CoRR Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
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`	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	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	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	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	B	`conf`	Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. IJCNN Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein
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	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	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`	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	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`	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`	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
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	A	`conf`	MGAE: Marginalized Graph Autoencoder for Graph Clustering. CIKM Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang
2016	B	`conf`	Co-clustering enterprise social networks. IJCNN Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang
2016	B	`conf`	Evolutionary lazy learning for Naive Bayes classification. IJCNN Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long
2015	—	`—`	Optimised auto-scaling for cloud-based web service Jing Jiang
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
2011	C	`conf`	An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing. DASC Jing Jiang, Jie Lu, Guangquan Zhang
2011	B	`conf`	Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop. SERVICES Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long