Scholar
Kexin Zhang
Google Scholar ID: RipBP8wAAAAJ
Tsinghua University
Data Mining
Machine Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
37
H-index
4
i10-index
0
Publications
7
Co-authors
2
list available
Contact
Email
kevin.kxzhang@gmail.com
GitHub
Open ↗
LinkedIn
Open ↗
Publications
32 items
Towards Training-Free Scene Text Editing
2026
Cited
0
OARS: Process-Aware Online Alignment for Generative Real-World Image Super-Resolution
2026
Cited
0
Breaking Smooth-Motion Assumptions: A UAV Benchmark for Multi-Object Tracking in Complex and Adverse Conditions
2026
Cited
0
How Well Can 3D Accessibility Guidelines Support XR Development? An Interview Study with XR Practitioners in Industry
2026
Cited
0
From Observations to States: Latent Time Series Forecasting
2026
Cited
1
The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss
2025
Cited
0
UARE: A Unified Vision-Language Model for Image Quality Assessment, Restoration, and Enhancement
2025
Cited
0
UMind-VL: A Generalist Ultrasound Vision-Language Model for Unified Grounded Perception and Comprehensive Interpretation
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
- Paper accepted by NeurIPS, 2025
- Paper accepted by ECML-PKDD, 2025
- Paper accepted by KDD, 2025
- Paper accepted by WSDM, 2025
- Paper accepted by WSDM, 2024
- Paper accepted by CIKM, 2023
- Honored as an Outstanding Reviewer for KDD 2025 (February cycle), awarded to the top 10% of reviewers
- Two survey papers on Large Language Models for Molecular Discovery and Deep Graph Learning under Distribution Shifts
Research Experience
- Research Intern at Northwestern University (Advisor: Prof. Kaize Ding)
Education
- B.E. Degree: Xidian University
- M.E. Degree: Tsinghua University
- Advisor: Prof. Kaize Ding
Background
- Research Interests: Data mining and machine learning, with a focus on reliable, efficient, and automated AI systems
- Passionate about developing data-centric algorithms for applications in social media, urban science, and environmental science
Miscellany
- Enthusiastic about the prospect of collaboration. Please feel free to reach out via email.
Co-authors
2 total
Kaize Ding
Assistant Professor of Stats & Data Science, Northwestern University
Xiu LI
Tsinghua University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up