Jing Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 133

Top Venues

Publications

Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. CoRR (2024)
Peng Yan, Guodong Long, Jing Jiang, Michael Blumenstein
Personalized Interpretation on Federated Learning: A Virtual Concepts approach. CoRR (2024)
Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein
Dual-Personalizing Adapter for Federated Foundation Models. CoRR (2024)
Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification. EACL (1) (2024)
Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. CoRR (2024)
Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang
Multi-Level Additive Modeling for Structured Non-IID Federated Learning. CoRR (2024)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? CoRR (2023)
Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS (2023)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. CoRR (2023)
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CoRR (2023)
Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR (2023)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI (2023)
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. IJCAI (2023)
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
Causal Reinforcement Learning: A Survey. CoRR (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55 (2) (2023)
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
Causal Reinforcement Learning: A Survey. Trans. Mach. Learn. Res. 2023 (2023)
Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang
Spatial-temporal Prompt Learning for Federated Weather Forecasting. CoRR (2023)
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. CoRR (2023)
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. CoRR (2023)
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI (2023)
Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) 26 (1) (2023)
Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Structured Federated Learning through Clustered Additive Modeling. NeurIPS (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) (2023)
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR (2023)
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. ICML (2023)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI (2022)
Zhuowei Wang, Jing Jiang, Guodong Long
Positive Unlabeled Learning by Semi-Supervised Learning. ICIP (2022)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Yijun Yang, Jing Jiang, Zhuowei Wang, Qiqi Duan, Yuhui Shi
BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning. AI (2022)
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML (2022)
Yang Li, Canran Xu, Tao Shen, Jing Jiang, Guodong Long
CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification. CoRR (2022)
Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR (2022)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR (2022)
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. NeurIPS (2022)
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Personalized Federated Learning With Structure. CoRR (2022)
Zhuowei Wang, Tianyi Zhou, Guodong Long, Bo Han, Jing Jiang
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels. CoRR (2022)
Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
On the Convergence of Clustered Federated Learning. CoRR (2022)
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Personalized Federated Learning With a Graph. IJCAI (2022)
Yang Li, Guodong Long, Tao Shen, Jing Jiang
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. NAACL-HLT (Findings) (2022)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI (2022)
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR (2022)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP (2022)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang
FedProto: Federated Prototype Learning over Heterogeneous Devices. CoRR (2021)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Isometric Propagation Network for Generalized Zero-shot Learning. CoRR (2021)
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
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR (2021)
Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. CoRR (2021)
Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health. CoRR (2021)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang
Multi-Center Federated Learning. CoRR (2021)
Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao
Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC (2021)
Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. Neural Networks 134 (2021)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR (2021)
Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR (2021)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Isometric Propagation Network for Generalized Zero-shot Learning. ICLR (2021)
Yang Li, Guodong Long, Tao Shen, Jing Jiang
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. CoRR (2021)
Zhineng Fu, Weijun Xu, Ruiqi Hu, Guodong Long, Jing Jiang
MHieR-encoder: Modelling the high-frequency changes across stocks. Knowl. Based Syst. 224 (2021)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
Sequential Diagnosis Prediction with Transformer and Ontological Representation. ICDM (2021)
Yunshi Lan, Jing Jiang
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering. ACL/IJCNLP (1) (2021)
Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS (2021)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
Sequential Diagnosis Prediction with Transformer and Ontological Representation. CoRR (2021)
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR (2021)
Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
Federated Learning for Open Banking. CoRR (2021)
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-Center Federated Learning. CoRR (2020)
Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
Confusable Learning for Large-Class Few-Shot Classification. ECML/PKDD (2) (2020)
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS (2020)
Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI (2020)
Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-Shot Learning. AAAI (2020)
Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
Confusable Learning for Large-class Few-Shot Classification. CoRR (2020)
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. CoRR (2020)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD (2020)
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR (2020)
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-shot Learning. CoRR (2020)
Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS (2020)
Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. ICDM (2020)
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. CoRR (2020)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR (2020)
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. CoRR (2020)
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR (2020)
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. COLING (2020)
Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. 50 (6) (2020)
Jing Jiang, Shaoxiong Ji, Guodong Long
Decentralized Knowledge Acquisition for Mobile Internet Applications. World Wide Web 23 (5) (2020)
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING (2020)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR (2020)
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS (2020)
Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI (2020)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
Self-attention Enhanced Patient Journey Understanding in Healthcare System. ECML/PKDD (3) (2020)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. CoRR (2020)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. ICDM (2020)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
Self-Attention Enhanced Patient Journey Understanding in Healthcare System. CoRR (2020)
Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
Going Deep: Graph Convolutional Ladder-Shape Networks. AAAI (2020)
Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. CoRR (2019)
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang
Attributed Graph Clustering: A Deep Attentional Embedding Approach. CoRR (2019)
Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. IJCNN (2019)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Learning to Propagate for Graph Meta-Learning. CoRR (2019)
Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. IJCNN (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jing Jiang