Jingzhao Zhang
Assistant Professor
Works on optimization and learning theory for machine learning.
Jingzhao Zhang's lab at Tsinghua works on learning theory & optimization. 28 papers since 2023, 26 at top venues, mostly ICLR and NeurIPS. 8 PhD students. 5 alumni, most often to Tencent. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 93%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 5
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 4 · collecting
- 12 papers2025 · T1 12
- 7 papers2024 · T1 6
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, NeurIPS, ICML, COLT, AISTATS
Research focuspaper titles that use each topic's words
- Learning theory & optimization9 papers
- interdisciplinary information0 papers
- iiis0 papers
- interdisciplinary0 papers
- information sciences0 papers
Paper list
From DBLP.
20264 papers
- ICLR (T1)Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization (opens in a new tab)
- COLT (T1)Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity (opens in a new tab)
- ICLR (T1)QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation (opens in a new tab)
- ICLR (T1)Scaling Knowledge Editing in LLMs to 100, 000 Facts with Neural KV Database (opens in a new tab)
202512 papers
- NeurIPS (T1)Data Mixing Can Induce Phase Transitions in Knowledge Acquisition (opens in a new tab)
- COLT (T1)Fast and Multiphase Rates for Nearest Neighbor Classifiers (opens in a new tab)
- NeurIPS (T1)Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control (opens in a new tab)
- ICLR (T1)From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency (opens in a new tab)
- AISTATS (T1)Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization (opens in a new tab)
- JMLR (T1)Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles (opens in a new tab)
- ICML (T1)Scalable Model Merging with Progressive Layer-wise Distillation (opens in a new tab)
- ICLR (T1)Second-Order Min-Max Optimization with Lazy Hessians (opens in a new tab)
- COLT (T1)Solving Convex-Concave Problems with 풪(ε-4/7) Second-Order Oracle Complexity (opens in a new tab)
- ICML (T1)Task Generalization with Autoregressive Compositional Structure: Can Learning from D Tasks Generalize to DT Tasks? (opens in a new tab)
- ICML (T1)Towards Black-Box Membership Inference Attack for Diffusion Models (opens in a new tab)
- ICML (T1)Understanding Nonlinear Implicit Bias via Region Counts in Input Space (opens in a new tab)
20247 papers
- ICLR (T1)A Quadratic Synchronization Rule for Distributed Deep Learning (opens in a new tab)
- NeurIPS (T1)Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem (opens in a new tab)
- COLT (T1)On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis (opens in a new tab)
- NeurIPS (T1)Online Control with Adversarial Disturbance for Continuous-time Linear Systems (opens in a new tab)
- UAI (T1)Online Policy Optimization for Robust Markov Decision Process (opens in a new tab)
- ICML (T1)Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning (opens in a new tab)
- SensorsTime Series Prediction of Gas Emission in Coal Mining Face Based on Optimized Variational Mode Decomposition and SSA-LSTM (opens in a new tab)
20235 papers
- ICLR (T1)Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models (opens in a new tab)
- NeurIPS (T1)Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions (opens in a new tab)
- NeurIPS (T1)Iteratively Learn Diverse Strategies with State Distance Information (opens in a new tab)
- NeurIPS (T1)On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective (opens in a new tab)
- SIAM J. Optim.Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm (opens in a new tab)
Where alumni went5 listed, 20% to industry
Industry 1Academia 4
Most often to
- Tencent
Also to
- Stanford University
- Tsinghua University
- UT Austin
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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