Zijian Li

According to our database, Zijian Li authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Domain Adaptation: A Generative View.

Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang

ACM Trans. Knowl. Discov. Data, April, 2024

Transferable Time-Series Forecasting Under Causal Conditional Shift.

Zijian Li, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations.

Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Debiased Model-based Interactive Recommendation.

Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong

CoRR, 2024

When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting.

Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang

CoRR, 2024

Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency.

Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li

CoRR, 2024

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation.

Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato

CoRR, 2024

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.

Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Identifying Semantic Component for Robust Molecular Property Prediction.

Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang

CoRR, 2023

Subspace Identification for Multi-Source Domain Adaptation.

Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance.

Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye

CoRR, 2022

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies.

Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu

CoRR, 2022

2021

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems.

Zijian Li, Ruichu Cai, Hong Wei Ng, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang

ACM Trans. Intell. Syst. Technol., 2021

Semi-supervised disentangled framework for transferable named entity recognition.

Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu

Neural Networks, 2021

Motif Graph Neural Network.

Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao

CoRR, 2021

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations.

Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang

CoRR, 2021

Transferable Time-Series Forecasting under Causal Conditional Shift.

Zijian Li, Ruichu Cai, Tom Z. J. Fu, Kun Zhang

CoRR, 2021

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?

Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aggregating From Multiple Target-Shifted Sources.

Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Time Series Domain Adaptation via Sparse Associative Structure Alignment.

Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

TAG : Type Auxiliary Guiding for Code Comment Generation.

Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Disentanglement Challenge: From Regularization to Reconstruction.

Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang

CoRR, 2019

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems.

Zijian Li, Ruichu Cai, Kok-Soon Chai, Hong Wei Ng, Hoang Dung Vu, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang

CoRR, 2019

NADAQ: Natural Language Database Querying Based on Deep Learning.

Boyan Xu, Ruichu Cai, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao, Zijian Li, Zhihao Liang

IEEE Access, 2019

Learning Disentangled Semantic Representation for Domain Adaptation.

Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

An Encoder-Decoder Framework Translating Natural Language to Database Queries.

Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

An Encoder-Decoder Framework Translating Natural Language to Database Queries.

Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li

CoRR, 2017