News

01/2024 Two of our papers Manifold Preserving Guided Diffusion and Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion are accepted by ICLR 2024.
08/2023 I am invited to give several talks at University of Tokyo and RIKEN about diffusion models and their controllable generation.
06/2023 Our paper Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions is accepted by ISPRS Journal of Photogrammetry and Remote Sensing.
06/2023 I start my internship as a student research scientist at Sony.
04/2023 Our paper CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations is accepted by ICML 2023.
04/2023 I am invited to give a guest lecture talks at CMU 10707 about diffusion models and their applications.
11/2022 I am invited to give a guest lecture talks at CMU 10417 about diffusion models and their applications.
09/2022 Our paper SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery is accepted by NeurIPS 2022.
08/2022 Our paper Understanding Economic Development in Rural Africa using Satellite Imagery, Building footprints and Deep Models is accepted by ACM SIGSPATIAL 2022.
08/2022 I start my PhD in the Machine Learning Department, School of Computer Science at Carnegie Mellon University.
07/2022 Our paper Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent is accepted by SIGDial 2022.
04/2022 Our paper Comparing Distributions by Measuring Differences that Affect Decision Making is awarded as an Outstanding Paper at ICLR 2022 (Top 7/4492).
03/2022 I graduate from Stanford University with a Master of Science in Computer Science with distinction in reasearch.
01/2022 Two of our papers Comparing Distributions by Measuring Differences that Affect Decision Making (oral presentation, top 1.6%) and SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations are accepted by ICLR 2022.
01/2022 I am TAing CS 228 in Winter 2022. If you are in the class, please feel free to come to my office hours!
10/2021 Our paper Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution is accepted by NeurIPS 2021 ML4D workshop.
09/2021 Our paper Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis is accepted by NeurIPS 2021.
09/2021 I am TAing CS 236 in Fall 2021. If you are in the class, please feel free to come to my office hours!
08/2021 Our team Chirpy Cardinal stands 2nd place in Alexa Prize 2021.
06/2021 I am an AI4ALL computer vision mentor in summer 2021 at Stanford.
01/2021 I am TAing CS 228 in Winter 2021. If you are in the class, please feel free to come to my office hours!
09/2020 I am awarded as a Siebel Scholar for Class of 2021.
06/2020 I start my internship as a machine learning engineer at Adobe Inc. . I am featured in one of the Adobe Intern Insider videos, check it out here.
04/2020 Our project Motion-Based Handwriting Recognition and Word Reconstruction is awarded as a Outstanding Project in Stanford CS 230 Winter 2020.
03/2020 Our project Generative Pre-Training Language Models with Auxiliary Conditional Summaries is awarded as a Best Custom Project Report in Stanford CS 224N Winter 2020.
02/2020 Our paper Fine-grained Image-to-Image Transformation towards Visual Recognition is accepted by CVPR 2020.
12/2019 Our project Motion-Based Handwriting Recognition is awarded as a Best Poster Award Project in Stanford CS 229 Autumn 2019.
09/2019 I start my Master of Science program in computer science at Stanford University.
05/2019 I graduate from University of Rochester as a magna cum laude with double Bachelor of Science degrees in Data Science and Mathematics.