News
March 2019
Invited Talk: Guest lecturer for Security and Fairness of Deep Learning at CMU.
Feb 2019
Jan 2019
Invited Talk: Interpretation of Neural Network is Fragile at c3.ai.
Dec 2019
In the media: Data Shapley was mentioned in an article published by Bloomberg.
Oct 2019
In the media: Will Rinehart from American Action Forum referred to our Data Shapley in the Senate hearing on data ownership.
In the media: "Towards automatic concept-based explanations" was discussed in an article in VentureBeat.
In the media: ChainNews published an article talking about "Towards automatic concept-based explanations".
Sep 2019
Research: Our paper on learning human meaningful concepts will be presented at NeurIPS2019.
Personal: Had a wonderful time at Google and now I'm back at Stanford.
Aug 2019
In the Media: "AI needs your data- and you should get paid for it" by wired magazine mentions the main idea of our Data Valuation paper as a path towards fair compensation of individuals for their data.
Jul 2019
In the Media: "How much is your data worth" by Quartz magazine talks about our recent ICML paper.
In the Media:The legendary Adrian Colyer discussed our work in the morning paper.
In the Media: Linear Digressions devoted a podcast talking about our Data Shapley paper.
Jun 2019
Oral Presentation: Data Shapley: Equitable Valuation of Data for Machine Learning (ICML 2019, Long Beach, CA) [Video]
Personal: Started my work as a research intern at Google Health Dermatology team.
Apr 2019
Invited Talk: What is your data worth? Quantifying the value of data in machine learning (Stanford Workshop in Biostatistics, Stanford, CA)
Research: Our paper on fair data valuation will be presented at ICML2019.
Jan 2019
Oral Presentation: Interpretation of Neural Network is Fragile (AAAI2019, Honolulu, HI)
Dec 2018
Research: Our paper on cheap knock-offs will be presented at AIES2019.
Research: Our paper on fairness through post-processing will be presented at AIES2019.
Personal: Had an amazing time at Google Brain and heading back to Stanford.
Oct 2018
Research: Our paper on robustness of deep neural network's interpretability method will be presented at AAAI2019.
Oral Presentation: Embedding for Informative Missingness: Deep Learning With Incomplete Data (Allerton Park and Retreat Center, Monticello, IL)
Aug 2018
Research: Our paper on leveraging informative missing data will be presented at Allerton2018.
Jun 2018
Personal: Started my work as a summer intern at Google Brain Big Picture team.
Feb 2018
Invited talk: Importance of model interpretability and explainability in Artificial Intelligence (Robert Bosch LLC, Sunnyvale, CA)
Dec 2017
Invited Talk: Adversarial attacks against neural network interpretation methods (NeurIPS 2017 Machine Deception Workshop, Long Beach, CA)
Feb 2017
Personal: Passed the EE Dept's PhD qualifying exam (and ranked 3rd).