Junliang Xing
Professor
Works on intelligent perception and decision-making, including visual object detection and tracking and game-theoretic interactive learning for complex decisions.
Junliang Xing's lab at Tsinghua works on recognition, detection & segmentation, reinforcement learning and robot perception & SLAM. 7 papers since 2023, 2 at top venues, mostly Artificial Intelligence and TNNLS. 1 PhD student and 2 master's students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 29%
- PhD students
- 1
- MS students
- 2
- alumni listed
- 0
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 2 papers2024 · T1 2
- 3 papers2023 · T1 0
T1 venuesOtherVenues: Artificial Intelligence, TNNLS
Research focuspaper titles that use each topic's words
- Reinforcement learning2 papers
- Recognition, detection & segmentation1 paper
- interactive learning1 paper
- Robot perception & SLAM0 papers
- object detection0 papers
Paper list
From the lab homepage.
20252 papers
- ICLR'BodyGen: Advancing Towards Efficient Embodiment Co-Design
- ICCV'GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
20242 papers
- Artificial Intelligence (T1)Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games
- TNNLS (T1)OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
20233 papers
- AIRGame Interactive Learning: A New Paradigm towards Intelligent Decision-Making
- IMWUT '23MMTSA: Multi-Modal Temporal Segment Attention Network for Efficient Human Activity Recognition
- In ACM Multimedia Conference (ACM MM), : 9282-9290.（创新论文奖）Semantics2Hands: Transferring Hand Motion Semantics between Avatars
Where alumni went
Alumni are not listed on the lab homepage.
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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Your notes
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Data
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- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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Tiers are venue classifications, not lab rankings.
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