Jun Zhu
Professor
Works on machine learning theory and algorithms, Bayesian methods, deep generative models, and probabilistic programming such as ZhuSuan.
Jun Zhu's lab at Tsinghua works on learning theory & optimization and probabilistic & causal inference. 56 papers since 2023, 18 at top venues, mostly NeurIPS and ICML. 21 PhD students and 8 master's students. 35 alumni, most often to Alibaba and Bosch. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 32%
- PhD students
- 21
- MS students
- 8
- alumni listed
- 35
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 25 papers2024 · T1 17
- 31 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML, Nature Machine Intelligence
Research focuspaper titles that use each topic's words
- Learning theory & optimization19 papers
- Probabilistic & causal inference4 papers
- bayesian methods0 papers
- probabilistic programming0 papers
- deep generative0 papers
Paper list
From the lab homepage.
202425 papers
- —A Comprehensive Survey of Continual Learning: Theory, Method and Application (opens in a new tab)
- ICML (T1)Accelerating Transformer Pre-training with 2:4 Sparsity (opens in a new tab)
- NeurIPS (T1)Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control (opens in a new tab)
- NeurIPS (T1)C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory (opens in a new tab)
- NeurIPS (T1)Consistency Diffusion Bridge Models (opens in a new tab)
- NeurIPS (T1)Diffusion Models are Certifiably Robust Classifiers (opens in a new tab)
- ICML (T1)DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training (opens in a new tab)
- International Conference on Learning Representations (ICLR), Vienna AustriaEfficient Backpropagation with Variance Controlled Adaptive Sampling (opens in a new tab)
- ICML (T1)Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior (opens in a new tab)
- International Conference on Learning Representations (ICLR), Vienna AustriaEmbodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches (opens in a new tab)
- ICML (T1)Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning (opens in a new tab)
- NeurIPS (T1)Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model (opens in a new tab)
202331 papers
- of Uncertainty in Artificial Intelligence (UAI), Pittsburg, PA, USAA Constrained Bayesian Approach to Out-of-Distribution Prediction (opens in a new tab)
- of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver CanadaAll are Worth Words: A ViT Backbone for Diffusion Models (opens in a new tab)
- of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver CanadaBenchmarking Robustness of 3D Object Detection to Common Corruptions (opens in a new tab)
- of International Conference on Learning Representations (ICLR), Kigali, RwandaBi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients (opens in a new tab)
- of AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USACertifiable Out-of-Distribution Generalization (opens in a new tab)
- Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USADiffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels (opens in a new tab)
- of International Conference on Learning Representations (ICLR), Kigali, RwandaDINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection (opens in a new tab)
- Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USADPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics (opens in a new tab)
- of AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USADQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding (opens in a new tab)
- of International Conference on Learning Representations (ICLR), Kigali, RwandaEquivariant Energy-Guided SDE for Inverse Molecular Design (opens in a new tab)
- of International Conference on Machine Learning (ICML), Hawaii, USAExact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (opens in a new tab)
- of International Conference on Machine Learning (ICML), Hawaii, USAGNOT: A General Neural Operator Transformer for Operator Learning (opens in a new tab)
Where alumni went35 listed, 56% to industry
Industry 10Academia 8
Most often to
- Alibaba
- Bosch
- ByteDance
Also to
- Tsinghua University
- Max Planck Institute
- ssistant Professor at Renmin 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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