Ning Ding
Assistant Professor
Works on general AI with strong reasoning, including reinforcement learning for language models, and applications to scientific discovery.
Ning Ding's lab at Tsinghua works on large language models, reasoning & agents and reinforcement learning. 4 papers since 2023, 4 at top venues, mostly EMNLP and ICML. 22 PhD students and 4 master's students. 4 alumni, most often to Shanghai AI Lab. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 100%
- PhD students
- 22
- MS students
- 4
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 0 papers2024 · T1 0
- 2 papers2023 · T1 2
T1 venuesOtherVenues: EMNLP, ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models2 papers
- Reinforcement learning1 paper
- Reasoning & agents0 papers
- general0 papers
- scientific discovery0 papers
Paper list
From the lab homepage.
20252 papers
- ICML (T1)Free Process Rewards without Process Labels
- NeurIPS (T1)TTRL: Test-time Reinforcement Learning
20232 papers
- EMNLP (T1)Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
- EMNLP (T1)Sparse Low-rank Adaptation of Pre-trained Language Models
Where alumni went4 listed, 50% to industry
Industry 2Academia 2
Most often to
- Shanghai AI Lab
Also to
- Tsinghua University
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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- This site is shared with other labs, so counts may overlap.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
This lab shares a website with other labs. Member and alumni counts may include them.
Tiers are venue classifications, not lab rankings.
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