Shali Jiang
Office: Jolley Hall 515 E-mail: jiang.s at wustl dot edu
About
I'm currently a Research Scientist at Facebook. I obtained my Ph.D. in Computer Science and Engineering from Washington University in St. Louis in May 2020, advised by Prof. Roman Garnett. My research interests are machine learning, active learning, Bayesian optimization, deep learning.
Before coming to US, I worked at Baidu for five months at the Fengchao department. Before that I got my Master's degree in Computer Science from Tianjin University, working on computer-aided tongue diagnosis. I also worked closely with Yong Liu on model selection for kernel methods, under the supervision of Prof. Shizhong Liao. I got my Bacholor's degree in Computer Science also from Tianjin University.
News
2020/6/22: started full-time at Facebook!
2020/6/1: BINOCULARS accepted to ICML 2020!
2020/5/18: successfully defended my Ph.D. dissertation!
2019/12/8: presenting my papers at NeurIPS 2019 in Vancouver!
2019/12/5: giving a talk at MRS 2019 in Boston (https://tinyurl.com/yfwgk5ps)
2019/11/5: Proposal defense, 9-11am, Jolley Hall 431.
2019/9/3: Two papers accepted by NeurIPS 2019!
2019/6/3: Excited to join Ads ML Modeling team at Facebook for a summer internship!
2018/12/3: Attending NeurIPS 2018, presenting our paper on Thursday.
2018/9/4: NeurIPS paper accepted for spotlight presentation.
2018/6/4: Started internship at Google, Mountain View, CA.
2017/12/3: Presenting a paper at NeurIPS BayesOpt Workshop, Long Beach, CA.
2017/8/5: Presenting a paper at ICML at Sydney, Australia.
2017/5/13: ICML paper accepted.
Publications
Shali Jiang*, Daniel R. Jiang*, Maximilian Balandat*, Brian Karrer, Jacob R. Gardner, Roman Garnett. Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. Accepted to NeurIPS 2020. https://arxiv.org/pdf/2006.15779.pdf (* indicates equal contribution)
Shali Jiang*, Henry Chai*, Javier Gonzalez, Roman Garnett. BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design. ICML 2020 (https://arxiv.org/pdf/1909.04568.pdf) (* indicates equal contribution)
Shali Jiang, Benjamin Moseley, Roman Garnett. Cost Effective Active Search. NeurIPS 2019 (pdf, supplementary slides, code).
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen, D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS 2019. (pdf, slides, code)
Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, Weiping Wang. Fast Cross-Validation for Kernel-based Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (pdf)
Shali Jiang, Gustavo Malkomes, Benjamin Moseley, Roman Garnett. Efficient Nonmyopic Active Search with Applications in Drug and Materials Discovery. NeurIPS 2018 Workshop on Machine Learning for Molecules and Materials (pdf, poster)
Shali Jiang, Gustavo Malkomes, Matthew Abbott, Benjamin Moseley, Roman Garnett. Efficient Nonmyopic Batch Active Search. Accepted for spotlight (top 4% of 4856 submissions) presentation in the 32nd Conference on Neural Information Processing Systems (NeurIPS) 2018 (pdf, supplementary, spotlight slides, spotlight talk, poster, video, blog by SigOpt, code)
Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen. Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. In Proc. Association for the Advancement of Artificial Intelligence (AAAI), 2018 (pdf)
Shali Jiang, Gustavo Malkomes, Geoff Converse, Alyssa Shofner, Benjamin Moseley, Roman Garnett. Efficient Nonmyopic Active Search. In Proceedings of the 34th International Conference on Machine Learning (ICML), PMLR 70:1714-1723, 2017 (also presented (20 min) at NeurIPS BayesOpt Workshop 2016) (pdf, supplementary, talk, code)
Shali Jiang. Tongue Diagnosis Approach to Health Identification in Traditional Chinese Medicine. Master Thesis of Tianjin University (in Chinese), 2014 (pdf)
Yong Liu, Shali Jiang, Shizhong Liao. Efficient Approximation of Cross-validation for Kernel Methods Using Bouligand Influence Function. In Proceedings of the 31st International Conference on Machine Learning (ICML), PMLR 32(1):324-332, 2014 (pdf)
Yong Liu, Shali Jiang, Shizhong Liao. Approximate Gaussian Kernel for Large-Scale SVM. Journal of Computer Research and Development (in Chinese), 2014, 51(10): 2171-2177 (pdf)
Yong Liu, Shali Jiang, Shizhong Liao. Eigenvalues Perturbation of Integral Operator for Kernel Selection. In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM), 2013: 2189-2198 (pdf)
Chang Feng, Shali Jiang, Hongwu Wang, Shizhong Liao. Health Identification of Traditional Chinese Medicine with Tongue Images. In Proceedings of the 5th International Conference on Machine Learning and Cybernetics (ICMLC), 2013:398-403 (pdf)