Scholar
Xiting Wang
Google Scholar ID: urC8meQAAAAJ
Associate Professor, Renmin University of China
Explainable AI
AI Alignment
Visual Analytics
Trustworthy AI
Reasoning
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Homepage
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Citations & Impact
All-time
Citations
4,423
H-index
33
i10-index
53
Publications
20
Co-authors
1
list available
Contact
GitHub
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Publications
20 items
Target Concept Tuning Improves Extreme Weather Forecasting
2026
Cited
0
Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions
2026
Cited
0
Efficient and Stable Reinforcement Learning for Diffusion Language Models
2026
Cited
0
NCP: Neighborhood-Preserving Non-Uniform Circle Packing for Visualization
2026
Cited
0
Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text
2026
Cited
3
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
2026
Cited
0
Learning to Detect Unknown Jailbreak Attacks in Large Vision-Language Models
2025
Cited
0
Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published around 50 papers on top conferences or journals, with two selected as spotlight articles by IEEE TVCG (one spotlight each issue).
- Technologies developed by Xiting have been applied in multiple products like Microsoft Bing and Microsoft News.
- Area chair of IJCAI and AAAI.
- Archive chair of IEEE VIS, joined the editorial board of Visual Informatics.
- Awarded Best SPC by AAAI 2021.
- Invited to give a keynote speech in the SIGIR Workshop on explainable recommendation (2022 and 2020).
- IEEE senior member.
Research Experience
- 2024-Present Renmin University of China, Associate Professor.
- 2023-2024 Renmin University of China, Assistant Professor.
- 2022-2023 Microsoft Research Asia, Principal Researcher.
- 2018-2022 Microsoft Research Asia, Senior Researcher.
- 2017-2018 Microsoft Research Asia, Researcher.
Education
- 2011-2017 Tsinghua University, PhD in Computer Science.
- 2007-2011 Tsinghua University, B.E. in Electronic Engineering.
Background
Research interest: Explainable and trustworthy AI. Professional field: Computer Science.
Co-authors
1 total
Shixia Liu
Professor, Tsinghua University, IEEE Fellow
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