- Z. Hu, Z. Yang, X. Liang, R. Salakhutdinov and E. P. Xing, Controllable Text Generation,
The 34th International Conference on Machine Learning.
(ICML 2017).
ALL Publications (in Chronical Order):
2022
- Z. Shen, Z. Liu and E. P. Xing, Sliced Recursive Transformer
, Proceeding of the 18th European Conference of Computer Vision, 2022. (ECCV 22).
- X. Huang, Z. Shen, S. Li, Z. Liu, X. Hu, J. Wicaksana, E. P. Xing, K-T. Cheng, SDQ: Stochastic Differentiable Quantization with Mixed Precision
,
Proceedings of the 39th International Conference on Machine Learning, 2022. (ICML 22).
- M. Zhou, Z. Li, B. Tan, G. Zeng, W. Yang, X. He, Z. Ju, S. Chakravorty, S. Chen, X. Yang, Y. Zhang, Q. Wu, Z. Yu, K. Xu, E. P. Xing, and P. Xie, On the Generation of Medical Dialogs for COVID-19,
Proceedings of The 59th Annual Meeting of the Association for Computational Linguistics, 2021. (ACL '21).
- B. Tan, Z. Yang, M. AI-Shedivat, E. P. Xing, Z. Hu, Progressive Generation of Long Text,
The 2021 Conference of the North American Chapter of the Association for Computational Linguistics. (NAACL '21).
- K. Kandasamy, K. Vysyaraju, W. Neiswanger, B. Paria, C. Collins, J. Schneider, B. Poczos, and E.
P. Xing Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly,
Journal of Machine Learning Research, 21 (81), 1-27, 2020.
- K. Tran, W. Neiswanger, J. Yoon, Q. Zhang, E. P. Xing, Z. Ulissi, Methods for comparing uncertainty
quantifications for material property predictions,
Machine Learning: Science and Technology, Volume 1, Number 2, 2020.
- Z. Liu, G. Ding, A. Bukkittu, M. Gupta, P. Gao, A. Ahmed, S. Zhang, X. Gao, S. Singhavi, L. Li, W. Wei, Z. Hu, H. Shi, X. Liang, T. Mitamura, E. Xing and Z. Hu. A Data-Centric Framework for Composable NLP Workflows,
Proceeding of the 2020 Conference on Empirical Methods on Natural Language Processing. (EMNLP 2020 Demo).
- X. Zheng, C. Dan, B. Aragam, P. Ravikumar, and E. P. Xing Learning Sparse Nonparametric DAGs,
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020.
(AISTATS 20)
- K. Xu, M. Lam, J. Pang, X. Gao, C. Band, P. Mathur, F. Papay, A. K. Khanna, J. B. Cywinski, K.
Maheshwari, P. Xie, E. P. Xing, Multimodal Machine Learning for Automated ICD Coding,
Conference on Machine Learning for Healthcare, 2019
(MLCH 2019).
- Y. Li, X. Liang, Z. Hu, Y. Chen, and E. P. Xing, Graph Transformer,
Proceedings of Seventh International Conference on Learning Representations
(ICLR 2019).
- J. Oliva, A. Dubey, M. Zaheer, B. Poczos, R. Salakhutdinov, E. P. Xing and J. Schneider Transformation Autoregressive Networks,
Proceedings of the 35th International Conference on Machine Learning
(ICML '18)
- L. Lee, E. Parisotto, D. S. Chaplot, E. P. Xing and R. Salakhutdinov Gated Path Planning Networks,
Proceedings of the 35th International Conference on Machine Learning
(ICML '18)
- Z. Hu, Z. Yang, X. Liang, R. Salakhutdinov, and E. P. Xing, On Unifying Deep Generative Models,
Proceedings of 6th International Conference on Learning Representations
(ICLR'18)
2017
- S. Lee, N. Gornitz, E. P. Xing, D. Heckerman, C. Lippert Ensembles of Lasso Screening Rules,
IEEE Transaction on Pattern Analysis and Machine Intelligence, 2017 (10.1109/TPAMI.2017.2765321)
- H. Zhang, Z. Deng, X. Liang, L. Yang, S. Xu, J. Zhu, and E. P. Xing, Structured Generative Adversarial Networks,
Proceedings of Advances in Neural Information Processing Systems 31
(NIPS '17). (Recipient of the Nvidia Pioneering Research Award)
- Z. Hu, Z. Yang, X. Liang, R. Salakhutdinov and E. P. Xing, Controllable Text Generation,
The 34th International Conference on Machine Learning.
(ICML 2017).
- X. Liang, L. Lin, X. Shen, J. Feng, S. Yan and E. P. Xing, Interpretable Structure-Evolving LSTM,
Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition
(CVPR 2017).
- A. Dubey, J. Oliva, A. Wilson, E. P. Xing, B. Poczos, and J. Schneider, Bayesian Nonparametric Kernel-Learning,
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics.
(AISTATS 2016).
- J. Howrylak, M. Moll, B. Raby, S. Weiss, W. Wu, and E. P. Xing, Gene Expression Profiling of Asthma Phenotypes Demonstrates Molecular Signatures of Atopy and Asthma Control, Journal of Allergy and Clinical
Immunology, Volume 137, Issue 5, Pages 1390- 1397, 2016.
- A. Wilson, C. Lucas, C. Dann and E. P. Xing, The Human Kernel,
Advances in Neural Information Processing Systems 29 (eds. Daniel Lee and Masashi Sugiyama), MIT Press, 2015.
(NIPS 2015).
- Z. Hu, P. Huang,
Y. Deng, Y. Gao and E. P. Xing,
Entity Hierarchy Embedding,
53rd Annual Meeting of the Association for Computational Linguistics.
(ACL 2015).
- J. Oliva, W. Neiswanger, B. Poczos, E. P. Xing and J. Schneider, Fast Function to Function Regression,
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics.
(AISTATS 2015).
2014
- J. Eisenstein, B. OÂ’Connor, N. A. Smith, and E. P. Xing, Diffusion of Lexical Change in Social
Media,
PLoS One, volume 9, Issue 11, e113114, 2014. (
arXiv:1210.5268, communicated 18 Oct 2012.)
[pdf
preprint]
- A. Parikh,
R. Curtis, I. Kuhn, S. Becker, M. Bissell, E. P. Xing and W. Wu,
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-evolving Network Algorithm, PLoS Computational Biology, Volume
10, Issue 7, e1003713, 2014. [pdf
preprint].
- E. P. Xing, R. Curtis, G. Schoenherr, S. Lee, J. Yin, K. Puniyani, W. Wu, P. Kinnaird, GWAS in a
Box: Statistical and Visual Analytics of Structured Associations via GenAMap, PLoS One,
Volume 9, Issue 6, e97524, 2014. [pdf
preprint].
- J. B. Oliva, W. Neiswanger, B. Poczos, J. Schneider and E. P. Xing, Fast Distribution To Real Regression,
Proceedings of the 17th International Conference on Artificial Intelligence and Statistics
(AISTATS 2014).
- J. Zhu and E. P. Xing, Sparse Topical Coding, Proceedings of the 27th International Conference on Conference on Uncertainty in Artificial Intelli-
gence (UAI 2011).
-
A. Ahmed, Q. Ho, J. Eisenstein, E. P. Xing, A. Smola and C. H. Teo, Unified
Analysis of Streaming News, Proceedings of the
International World Wide Web Conference (WWW 2011).
- J. A. Howrylak, T. Dolinay, L. Lucht, Z. Wang, D. C. Christiani, J. M. Sethi1, E. P. Xing, M. P. Donahoe and A. M. K. Choi, Discovery of the gene signature for acute lung injury in patients with sepsis, Physiol. Genomics 37: 133-139, 2009.
- A.
F.T. Martins, D. Das, N. A. Smith, and E. P. Xing, Stacking
Dependency Parser,
Proceedings of Conference on Empirical Methods in Natural Language
Processing, (EMNLP 2008).
- A.
Martins, M. Figueiredo, P. Aguiar, N. A. Smith and E. P. Xing,
Nonextensive Entropic Kernels,
Proceedings of the 25th International Conference on Machine Learning (ICML
2008). (A longer version
is available soon in CMU-MLD Technical
Report 08-106 with
the same title.)
- W.
Wu and E. P. Xing, A Survey of cDNA
Microarray Normalization and a Comparison by k-NN Classification,
in Methods in
Microarray Normalization (Ed. S. Phillip), CRC Press. p81-120, 2008.
2006
- F.
Guo, W. Fu, Y. Shi and E. P. Xing,
Reverse engineering temporally
rewiring gene networks,
The NIPS workshop on New Problems and Methods in Computational Biology
(NIPS2006).
- E.M. Airoldi, D.M.
Blei, S.E.
Fienberg, E.P. Xing, Latent mixed-membership
allocation models of relational and multivariate attribute data, Valencia
& ISBA Joint World Meeting on Bayesian
Statistics (2006).
- E.P. Xing, R. Sharan
and M.I
Jordan, Bayesian
Haplotype Inference via the Dirichlet Process. Proceedings
of
the 21st International Conference on Machine
Learning (ICML2004), (eds. Greiner and Schuurmans),
ACM Press, 879-886, [ps].
An earlier version of
this paper also appeared as a book chapter in Lecture Notes in
Bioinformatics, Special
issue
for 2nd RECOMB Satellite Workshop on Computational Methods for
SNPs and Haplotypes, 2004. (ps).
- E.P. Xing, A.Y. Ng,
M.I. Jordan and S. Russell, Distance
Metric Learning, with application to Clustering with side-information,
Advances
in Neural Information Processing
Systems 16 (NIPS2002),
(eds. Becker
et
al.) MIT Press, 521-528, 2002. (ps,
data,
code.)
- E.P. Xing, D. Wolf, I.
Dubchak, S. Spengler, M. Zorn, C.
Kulikowski,
I. Muchnik, Automatic discovery
of sub-molecular
sequence domains in multi-aligned sequences: a dynamic programming
algorithm
for multiple alignment segmentation, Journal of Theoretical
Biology,
21;212(2):129-39, 2001.
pre2000
- E.P. Xing, C.
Kulikowski, I. Muchnik, I. Dubchak, D. Wolf, S. Spengler and M. Zorn, Analysis of
ribosomal RNA sequences by combinatorial clustering, Proceedings, The
Seventh
International Conference on Intelligence Systems for Molecular Biology (ISMB99),
(Eds. T. Lengauer et al.) AAAI/MIT
Press, Menlo
Park, CA. P. 287-296, 1999.
- E.P. Xing, Y. Nie, Y-L
Song, G-Y. Yang, C. C. Cai, L-D.
Wang, C. S. Chung, Mechanisms of
inactivation of p14ARF, p15INK4b and p16INK4a
genes in human esophageal squamous cell carcinoma: p14ARF
is potentially another inactivation hotspot within the 9p21 gene
cluster,
Clinical Cancer Research, 1999 Oct; 5(10): 2704-13.
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