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Sinno Jialin Pan

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis

May 16, 2023
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

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* ACL 2023 main conference

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Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities

Dec 26, 2022
Jianda Chen, Sinno Jialin Pan

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Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization

Sep 29, 2022
Danni Peng, Sinno Jialin Pan

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* 22 pages, 14 figures

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Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

Jul 10, 2022
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan

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* 14 pages, 7 figures, NAACL 2022

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Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition

Jun 14, 2022
Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Jialin Pan, Chunyu Hu, Xin Qin

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* To be presented at UbiComp 2022; Accepted by Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

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Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems

Nov 08, 2021
Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng

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* 11 pages, 6 figures, accepted by RecSys 2021

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Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions

Jul 07, 2021
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan

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* 9 pages, 4 figures, accepted by KDD-21 research track. The source code is available at https://github.com/ltz0120/Graph-Convolutional- Hawkes-Processes-GCHP

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