Jiaming Xu
46 papers · 2014–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(16)
π€
Dynamic Duo
(16)
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club
(43)
π
Conference Pioneer
β‘
Prolific Year
(5)
π₯
Unstoppable
(8)
β
The Questioner
ποΈ
Keyword Collector
(203)
Conferences
COLT (10)
JMLR (6)
ICML (5)
INTERSPEECH (5)
AAAI (4)
NIPS (4)
IJCAI (3)
ACL (2)
AISTATS (2)
COLING (2)
EMNLP (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
community detection
(6)
stochastic block model
(5)
speech separation
(5)
maximum likelihood estimator
(4)
graph matching
(4)
submatrix localization
(4)
phase transition
(3)
recurrent neural network
(3)
representation learning
(3)
attention mechanism
(3)
sequence-to-sequence model
(3)
random graph
(2)
maximum likelihood estimation
(2)
minimax optimal
(2)
neural tangent kernel
(2)
query complexity
(2)
visual dialog
(2)
stochastic gradient descent
(2)
convergence analysis
(2)
federated learning
(2)
Papers
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
AAAI 2026
MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation
AAAI 2026
From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
AAAI 2026
A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models
COLT 2025
The Planted Spanning Tree Problems: Exact Overlap Characterization via Local Weak Convergence Extended Abstract
COLT 2025
βAll-Something-Nothingβ Phase Transitions in Planted $k$-Factor Recovery (Extended Abstract)
COLT 2025
Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent
JMLR 2024
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
ICML 2023
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points
JMLR 2023
Random Graph Matching in Geometric Models: the Case of Complete Graphs
COLT 2022
Global Convergence of Federated Learning for Mixed Regression
NIPS 2022
Graph Matching with Partially-Correct Seeds
JMLR 2021
Optimal query complexity for private sequential learning against eavesdropping
AISTATS 2021
One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
AISTATS 2021
MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation
INTERSPEECH 2021
Learner-Private Convex Optimization
ICML 2021
Consistent recovery threshold of hidden nearest neighbor graphs
COLT 2020
A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments
INTERSPEECH 2020
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
IJCAI 2020
Speaker-Conditional Chain Model for Speech Separation and Extraction
INTERSPEECH 2020
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
NIPS 2020
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
ICML 2020
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog
AAAI 2020
The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding
NAACL 2019
A Working Memory Model for Task-oriented Dialog Response Generation
ACL 2019
The All-or-Nothing Phenomenon in Sparse Linear Regression
COLT 2019
Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation
INTERSPEECH 2019
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation
IJCAI 2018
Cascaded Mutual Modulation for Visual Reasoning
EMNLP 2018
Rates of Convergence of Spectral Methods for Graphon Estimation
ICML 2018
Submatrix localization via message passing
JMLR 2018
Learning from Comparisons and Choices
JMLR 2018
THU-EE System Description for NIST LRE 2015
INTERSPEECH 2016
Density Evolution in the Degree-correlated Stochastic Block Model
COLT 2016
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
JMLR 2016
Semidefinite Programs for Exact Recovery of a Hidden Community
COLT 2016
Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling
COLING 2016
Hierarchical Memory Networks for Answer Selection on Unknown Words
COLING 2016
Collaboratively Learning Preferences from Ordinal Data
NIPS 2015
Convolutional Neural Networks for Text Hashing
IJCAI 2015
Semantic Clustering and Convolutional Neural Network for Short Text Categorization
IJCNLP 2015
Semantic Clustering and Convolutional Neural Network for Short Text Categorization
ACL 2015
Computational Lower Bounds for Community Detection on Random Graphs
COLT 2015
Minimax-optimal Inference from Partial Rankings
NIPS 2014
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting
ICML 2014
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results
COLT 2014