Shao-Lun Huang
Associate Professor
Works on big-data analytics and machine learning, information theory, and communication and social network theory.
Shao-Lun Huang's lab at Tsinghua works on learning theory & optimization, signal processing & information theory and graph mining & networks. 65 papers since 2023, 16 at top venues, mostly ISIT and ICME. Applications close .
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 25%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 11 papers2026 · T1 3 · collecting
- 17 papers2025 · T1 5
- 24 papers2024 · T1 4
- 13 papers2023 · T1 4
T1 venuesOtherVenues: ISIT, ICME, NeurIPS, AAAI, Allerton
Research focuspaper titles that use each topic's words
- Learning theory & optimization18 papers
- Signal processing & information theory5 papers
- Graph mining & networks1 paper
- social network0 papers
- theory0 papers
Paper list
From the lab homepage and DBLP.
202611 papers
- IVMSPA Unified Framework of Strong and Weak Constraints for Robust Multimodal Learning (opens in a new tab)
- CVPR (T1)Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training (opens in a new tab)
- Biomed. Signal Process. Control.Classification and recognition of brain tumors from MRI images based on improved YOLOv6 (opens in a new tab)
- IVMSPDeep Dual-Path UNet with Cross-Attention for Medical Image Segmentation (opens in a new tab)
- KDD (T1)FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery (opens in a new tab)
- AAAI (T1)FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion (opens in a new tab)
- ISITOn the Equivalence Relationships among Fisher Information, Shannon Measures and Variance (opens in a new tab)
- ICICOSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition (opens in a new tab)
- ICPRPSformer: Parameter-Efficient Transformer with Segment Shared Attention for Time Series Forecasting (opens in a new tab)
- Trans. Mach. Learn. Res.VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion (opens in a new tab)
- IVMSPWTranL: Multi-Resolution Wavelet-Transformer with Staged Cross-Attention for Multimodal Conversational Emotion Recognition (opens in a new tab)
202517 papers
- NeurIPS (T1)A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning (opens in a new tab)
- —Asymptotic Analysis for Optimal Source Weights in Multi-Source Transfer Learning
- ICCV (T1)CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation (opens in a new tab)
- ICMEContent-Style Disentangled Audio Style Transfer via Diffusion Model (opens in a new tab)
- ICASSP (T1)Efficient Global Attention and Correlation-Aware Fusion for Hyperspectral Image Classification (opens in a new tab)
- DAC (T1)Efficient Rectification Signal Validation for Optimal Functional ECO Patch Generation (opens in a new tab)
- —FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models
- Math. Comput. Simul.Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems (opens in a new tab)
- ISITInformation-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing (opens in a new tab)
- NeurIPS (T1)Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration (opens in a new tab)
- —Multi-letter Analysis of Marginal Rate-Fisher Information Tradeoff: Unbounded Gain
- ISITOn the Optimal Second-Order Convergence Rate of Minimax Estimation Under Weighted MSE (opens in a new tab)
202424 papers
- ITWA Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning (opens in a new tab)
- ICMEAdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector (opens in a new tab)
- 1-13Cooperative Multi-Model Training for Personalized Federated Learning over Heterogeneous Devices
- —Cooperative Multiple Model Training for Personalized Federated Learning over Heterogeneous Devices
- AAAI (T1)CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding (opens in a new tab)
- GLOBECOM WorkshopEnhancing VLC Vehicle Networks in Channel Estimation, Coding, and Multiple Access (opens in a new tab)
- ICMEExploring Iterative Refinement with Diffusion Models for Video Grounding (opens in a new tab)
- IEEE J. Sel. Top. Signal Process.Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge (opens in a new tab)
- 10 , 1708, MayHGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data
- IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification (opens in a new tab)
- ICASSP (T1)NAC: Mitigating Noisy Correspondence in Cross-Modal Matching via Neighbor Auxiliary Corrector (opens in a new tab)
- ITWOn the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain (opens in a new tab)
202313 papers
- CIKM (T1)A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning (opens in a new tab)
- ISITAn Information Theoretic Approach for Collaborative Distributed Parameter Estimation (opens in a new tab)
- ACM MMLUNA: Language as Continuing Anchors for Referring Expression Comprehension
- ICMLAMitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data (opens in a new tab)
- ACL (T1)MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations (opens in a new tab)
- EntropyOn the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing (opens in a new tab)
- AllertonOptimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels (opens in a new tab)
- ICLR (T1)Personalized Federated Learning with Feature Alignment and Classifier Collaboration (opens in a new tab)
- IEEE Trans. GamesPredicting Events in MOBA Games: Prediction, Attribution, and Evaluation (opens in a new tab)
- ICCV (T1)RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning (opens in a new tab)
- GLOBECOMRobust Deep Joint Source Channel Coding with Time-varying Noise (opens in a new tab)
- AllertonRobust Transfer Learning Based on Minimax Principle (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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