← Authors

Teng Zhang

33 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (11) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion (7) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (156) πŸ’Ž Century Club (29) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (10) πŸ“ˆ 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

Hai Jin (6) Gilad Lerman (5) Ji Wu (3) Xuanhua Shi (3) Nan Cao (3) Kailai Zhang (2) XianPeng Lang (2) Qichao Zhang (2) Yupeng Zheng (2) Honghan Wu (2)

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