Tieliang Gong
27 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (9)
π
Academic Marathon
(5)
πΊοΈ
Taxonomy Completionist
(11)
π
Grand Slam
π€
Dynamic Duo
(13)
π
Triple Crown
ποΈ
Keyword Collector
(118)
β‘
Prolific Year
(8)
π
Conference Pioneer
π
Century Club
(24)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
AAAI (9)
ICML (4)
IJCAI (4)
NIPS (3)
CVPR (2)
ICLR (2)
ACL (1)
COLING (1)
MICCAI (1)
Top co-authors
Keywords
generalization bound
(4)
metric learning
(3)
diffusion model
(3)
stochastic gradient descent
(3)
robust estimation
(3)
image generation
(2)
markov chain
(2)
additive model
(2)
text-to-image diffusion
(2)
vision-language model
(2)
contrastive learning
(2)
variable selection
(2)
named entity recognition
(2)
subject consistency
(2)
statistical consistency
(1)
zero-shot learning
(1)
few-shot learning
(1)
adversarial robustness
(1)
learning theory
(1)
robust regression
(1)
Papers
Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis
AAAI 2026
Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning
AAAI 2026
DynamicEarth: How Far Are We from Open-Vocabulary Change Detection?
AAAI 2026
Trajectory-Dependent Generalization Bounds for Pairwise Learning with Ο-mixing Samples
IJCAI 2025
InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective
ICML 2025
Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
ICML 2025
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
AAAI 2025
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
ICLR 2025
Rectified Diffusion Guidance for Conditional Generation
CVPR 2025
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
ICLR 2024
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
NIPS 2024
Accelerating Non-Maximum Suppression: A Graph Theory Perspective
NIPS 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
CVPR 2024
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
ICML 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning
IJCAI 2024
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
IJCAI 2024
PAMIL: Prototype Attention-based Multiple Instance Learning for Whole Slide Image Classification
MICCAI 2024
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
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized RΓ©nyi's Entropy Perspective
IJCAI 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
Tilted Sparse Additive Models
ICML 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
Robust Gradient-Based Markov Subsampling
AAAI 2020
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
NIPS 2020