Publications

(2022). Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization. (NeurIPS-2022) Advances in Neural Information Processing Systems 35.

Conference Page OpenReview Poster Code

(2022). Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification. (JSTARS) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

DOI

(2022). Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference. (IPM) Information Processing and Management, 59(5): 103027.

DOI Journal Page Twitter Blog

(2021). Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization. (AAAI-2021) Proceedings of the 35th AAAI Conference on Artificial Intelligence, 10923-10930..

Cite Conference Page Code

(2021). Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder. (IJCAI-21) Proceedings of 30th International Joint Conference on Artificial Intelligence, 3373-3383.

PDF Cite Code Conference Page

(2021). A general framework for causal classification. International Journal of Data Science and Analytics. 11:127-139.

PDF Cite DOI Article Page

(2020). Robust multi-instance learning with stable instances. (ECAI-2020) Proceedings of the Twenty-Fourth European Conference on Artificial Intelligence (Santiago de Compostela, Spain), 1682-1689.

PDF Cite Conference Page

(2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database, 2019:baz085.

PDF Cite DOI Journal Page

(2019). Assessment of network module identification across complex diseases. Nature Methods, 16:843-852..

PDF Cite DOI Journal Page

(2018). miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinformatics 19:516, Springer.

PDF Cite DOI Conference Page

(2018). Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinformatics, 19:518, Springer.

PDF Cite DOI Journal Page

(2017). Mining heterogeneous causal effects for personalized cancer treatment. Bioinformatics, 33(15): 2372-2378.

PDF Cite DOI Journal Page

(2016). Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles. PLOS ONE. 11(4): e0152860. Public Library of Science.

PDF Cite DOI Journal Page

(2014). Multi-instance learning with distribution change. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI'14) (Québec, Canada.).

PDF Cite Conference Page