Tenure-track Assistant Professor, Shanghai Jiao Tong University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
JacobiForcing
June 25, 2025 – Present
[ICML 2026] Jacobi Forcing: Fast and Accurate Diffusion-style Decoding
View ProjectConsistency_LLM
November 28, 2023 – November 16, 2024
[ICML 2024] CLLMs: Consistency Large Language Models
View ProjectCalibrated-DPMs
February 21, 2023 – February 22, 2023
Official code for "On Calibrating Diffusion Probabilistic Models"
View ProjectELLA
March 30, 2022 – October 12, 2022
Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
View ProjectNeuralEigenFunction
September 1, 2021 – June 10, 2022
NeuralEigenFunction — GitHub repository
View ProjectScalableBDL
October 5, 2020 – July 25, 2024
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
View ProjectCAT
July 29, 2019 – November 21, 2019
Code for "Cluster Alignment with a Teacher for Unsupervised Domain Adaptation"
View ProjectBVAT
July 29, 2019 – July 29, 2019
Code for "Batch Virtual Adversarial Training for Graph Convolutional Networks"
View ProjectStructuredGAN
October 3, 2017 – November 2, 2017
SGAN: Structured Generative Adversarial Networks
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic/research-oriented machine learning, primarily using Python. While this demonstrates deep technical capability in a specific area, it suggests a potential mismatch for a general 'Backend Engineer' role which typically requires broader system design, database, API development, and distributed systems experience. The lack of diverse project types (e.g., web services, data pipelines, infrastructure) limits the assessment of cultural fit for a standard backend team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.