Teng Zhang
33 papers · 2014–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (12)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Academic Marathon
(11)
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Keyword Trendsetter Combo
(4)
π
Keyword Champion
(7)
π¬
Deep Specialist
(13)
π§¬
Topic Evolution
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Conference Pioneer
ποΈ
Keyword Collector
(156)
π
Century Club
(29)
β‘
Prolific Year
(5)
π₯
Unstoppable
(10)
π
Trend Setter
Conferences
IJCAI (9)
AAAI (7)
JMLR (5)
INTERSPEECH (3)
ICML (2)
AISTATS (1)
CVPR (1)
ICCV (1)
ICLR (1)
NAACL (1)
NSDI (1)
WACV (1)
Top co-authors
Keywords
margin distribution
(7)
support vector machine
(6)
optimal margin
(3)
kernel methods
(3)
linear convergence
(3)
subspace recovery
(3)
acoustic scene classification
(2)
generalization performance
(2)
latent world model
(2)
robust pca
(2)
long short-term memory
(2)
spectral clustering
(2)
robust principal component analysis
(2)
error detection
(2)
prompt engineering
(2)
online learning
(2)
autonomous driving
(2)
tensor decomposition
(2)
multimodal learning
(2)
outlier detection
(2)
Papers
MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping
AAAI 2026
WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving
AAAI 2026
RPM-MCTS: Knowledge-Retrieval as Process Reward Model with Monte Carlo Tree Search for Code Generation
AAAI 2026
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
AAAI 2026
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
ICLR 2025
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
AAAI 2025
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
ICCV 2025
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
CVPR 2024
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction
NAACL 2024
Incremental and Decremental Optimal Margin Distribution Learning
IJCAI 2023
Scalable Optimal Margin Distribution Machine
IJCAI 2023
On the Optimization of Margin Distribution
IJCAI 2022
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network
JMLR 2022
Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing
NSDI 2022
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution
IJCAI 2022
Partial Multi-Label Optimal Margin Distribution Machine
IJCAI 2021
Faces a la Carte: Text-to-Face Generation via Attribute Disentanglement
WACV 2021
Optimal Margin Distribution Machine for Multi-Instance Learning
IJCAI 2020
Optimal Margin Distribution Learning in Dynamic Environments
AAAI 2020
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
AAAI 2019
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
JMLR 2019
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
ICML 2018
Temporal Transformer Networks for Acoustic Scene Classification
INTERSPEECH 2018
Robust PCA by Manifold Optimization
JMLR 2018
Semi-Supervised Optimal Margin Distribution Machines
IJCAI 2018
Multi-modal Attention Mechanisms in LSTM and Its Application to Acoustic Scene Classification
INTERSPEECH 2018
Efficient Label Contamination Attacks Against Black-Box Learning Models
IJCAI 2017
Spectral Clustering Based on Local PCA
JMLR 2017
Locally Linear Factorization Machines
IJCAI 2017
Multi-Class Optimal Margin Distribution Machine
ICML 2017
Objective Evaluation Methods for Chinese Text-To-Speech Systems
INTERSPEECH 2016
Robust Stochastic Principal Component Analysis
AISTATS 2014
A Novel M-Estimator for Robust PCA
JMLR 2014