Scholar
Kexin Zhang
Google Scholar ID: RipBP8wAAAAJ
Tsinghua University
Data Mining
Machine Learning
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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
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Publications
46 items
From the Task Boundaries of Narrative Text to Structural Anchoring, Uncertainty Triggers, and Cross-Calibration
2026
Cited
0
Solution for UCF UrbanTwin V2X-Real Track: Sim-to-Real Urban LiDAR 3D Object Detection
2026
Cited
0
Solution for UCF UrbanTwin LUMPI Track: Sim-to-Real Urban LiDAR 3D Object Detection
2026
Cited
0
ProtLingo: Efficient Protein Language Modeling via Conditional Memory and Expert Routing
2026
Cited
0
CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting
2026
Cited
0
Beyond Harassment: Exploring the Harm Experienced by People with Disabilities in Social Virtual Reality
2026
Cited
0
Safety vs. Social Image: Co-Designing Protection Mechanisms Against Ableist Harassment with People with Disabilities in Social Virtual Reality
2026
Cited
0
NavSight in the Wild: Understanding Real-World Use of a Mobile Augmented Reality Application for People with Low Vision in Outdoor Navigation
2026
Cited
0
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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