Tieliang Gong
27 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Machine Learning
(21)
Optimization & Theory
(16)
Deep Learning
(10)
Learning Types Β· Machine Learning
(9)
Core Methods
(7)
Artificial Intelligence
(5)
Learning Types Β· Deep Learning
(5)
Computer Vision
(4)
Mathematics & Optimization
(4)
Core AI
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Models
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Natural Language Processing
(3)
Learning Paradigms
(3)
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(3)
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(2)
Keywords
generalization bound
(7)
diffusion model
(3)
contrastive learning
(3)
stochastic gradient descent
(3)
metric learning
(3)
robust estimation
(3)
text-to-image diffusion
(2)
vision-language model
(2)
subject consistency
(2)
statistical learning
(2)
rademacher complexity
(2)
adversarial robustness
(2)
learning theory
(2)
image generation
(2)
variable selection
(2)
named entity recognition
(2)
markov chain
(2)
mutual information
(2)
additive model
(2)
statistical consistency
(1)
Papers
Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning
AAAI 2026
DynamicEarth: How Far Are We from Open-Vocabulary Change Detection?
AAAI 2026
Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis
AAAI 2026
Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
ICML 2025
InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective
ICML 2025
Rectified Diffusion Guidance for Conditional Generation
CVPR 2025
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
AAAI 2025
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
ICLR 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with Ο-mixing Samples
IJCAI 2025
Accelerating Non-Maximum Suppression: A Graph Theory Perspective
NeurIPS 2024
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
IJCAI 2024
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
NeurIPS 2024
PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification
MICCAI 2024
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
ICLR 2024
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
ICML 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning
IJCAI 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
CVPR 2024
On the Stability and Generalization of Triplet Learning
AAAI 2023
PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition
ACL 2023
Robust and Fast Measure of Information via Low-Rank Representation
AAAI 2023
Tilted Sparse Additive Models
ICML 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized RΓ©nyi's Entropy Perspective
IJCAI 2023
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition
COLING 2022
Error-Based Knockoffs Inference for Controlled Feature Selection
AAAI 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment
AAAI 2022
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
NeurIPS 2020
Robust Gradient-Based Markov Subsampling
AAAI 2020