Yuantao Gu
Professor
Works on machine learning and signal processing theory, including sparse signal recovery and intelligent sensing.
Yuantao Gu's lab at Tsinghua works on learning theory & optimization, signal processing & information theory and speech enhancement & signal processing. 36 papers since 2023, 13 at top venues, mostly AISTATS and ICASSP. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 36%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 3 · collecting
- 11 papers2025 · T1 3
- 11 papers2024 · T1 3
- 8 papers2023 · T1 4
T1 venuesOtherVenues: AISTATS, ICASSP, NeurIPS, AAAI, ACM MM
Research focuspaper titles that use each topic's words
- Learning theory & optimization5 papers
- Signal processing & information theory3 papers
- Speech enhancement & signal processing3 papers
- signal3 papers
- recovery0 papers
Paper list
From DBLP.
20266 papers
- Ecol. InformaticsA spatiotemporal method for NDVI reconstruction based on differential smoothness (opens in a new tab)
- AAAI (T1)A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler (opens in a new tab)
- IEEE Wirel. Commun. Lett.Boundary-Aware Margin Shaping for Joint Open-Set Modulation Recognition and Adversarial Robustness (opens in a new tab)
- WWW (T1)FishFlow: A LLM-Empowered Dynamic Pricing Framework for Online Fleamarket Platform (opens in a new tab)
- IEEE Trans. Cogn. Commun. Netw.S3AT: Self-Paced, Self-Distilled, and Self-Finetuned Adversarial Training for Robust Automatic Modulation Recognition (opens in a new tab)
- ICLR (T1)Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models (opens in a new tab)
202511 papers
- IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.A Novel Multibranch Self-Distillation Framework for Optimizing Remote Sensing Change Detection (opens in a new tab)
- IEEE Trans. Signal Process.Adaptive Polyak Step-Size for Momentum Accelerated Stochastic Gradient Descent With General Convergence Guarantee (opens in a new tab)
- ICML (T1)Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation (opens in a new tab)
- IEEE Trans. Signal Process.Decentralized Rank-Adaptive Matrix Factorization - Part I: Algorithm Development (opens in a new tab)
- IEEE Trans. Signal Process.Decentralized Rank-Adaptive Matrix Factorization - Part II: Convergence Analysis (opens in a new tab)
- IEEE Trans. Wirel. Commun.Deep Learning-Based Channel Extrapolation for 5G Advanced Massive MIMO: Hardware Prototype and Experimental Evaluation (opens in a new tab)
- IEEE Trans. Veh. Technol.Efficient Change-Point Detection Over Fully Decentralized Wireless Networks With Low Communication Rate (opens in a new tab)
- NeurIPS (T1)Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation (opens in a new tab)
- IEEE Geosci. Remote. Sens. Lett.M2CD: A Unified MultiModal Framework for Optical-SAR Change Detection With Mixture of Experts and Self-Distillation (opens in a new tab)
- ACM MMOpen-CD: A Comprehensive Toolbox for Change Detection (opens in a new tab)
- ICASSP (T1)Path Signatures are Unsupervised Time Series Anomaly Extractors (opens in a new tab)
202411 papers
- IEEE Commun. Lett.Adversarial Samples Detection Based on Feature Attribution and Contrast in Modulation Recognition (opens in a new tab)
- IEEE Trans. Cogn. Commun. Netw.An Extreme Value Theory-Based Approach for Reliable Drone RF Signal Identification (opens in a new tab)
- IEEE Commun. Lett.Boosting Open-Set RF Signal Recognition Under Low SNR Condition in Feature Space (opens in a new tab)
- IEEE Wirel. Commun. Lett.Counterfactual Threshold Learning for Drone RF Signal Classification Under Interference Conditions (opens in a new tab)
- IEEE Trans. Geosci. Remote. Sens.DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation (opens in a new tab)
- ICASSP (T1)EPA: Neural Collapse Inspired Robust Out-of-distribution Detector (opens in a new tab)
- IEEE Internet Things J.SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting (opens in a new tab)
- IEEE Geosci. Remote. Sens. Lett.SAR Image Compression With Inherent Denoising Capability Through Knowledge Distillation (opens in a new tab)
- WCNCSub-6GHz Aided Hybrid Beamforming for mmWave System (opens in a new tab)
- NeurIPS (T1)Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems (opens in a new tab)
- ICASSP (T1)Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection (opens in a new tab)
20238 papers
- AISTATS (T1)Benign overfitting of non-smooth neural networks beyond lazy training (opens in a new tab)
- AISTATS (T1)Incremental Aggregated Riemannian Gradient Method for Distributed PCA (opens in a new tab)
- CDCLinear Speedup of Incremental Aggregated Gradient Methods on Streaming Data (opens in a new tab)
- ICONIPMelMAE-VC: Extending Masked Autoencoders to Voice Conversion (opens in a new tab)
- IEEE Trans. Netw. Sci. Eng.MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network (opens in a new tab)
- L4DCMulti-Agent Reinforcement Learning with Reward Delays (opens in a new tab)
- AISTATS (T1)Oblivious near-optimal sampling for multidimensional signals with Fourier constraints (opens in a new tab)
- CIKM (T1)Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting (opens in a new tab)
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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Data
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