Jiacheng Sun
23 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Dynamic Duo
(14)
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Deep Specialist
(11)
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The Questioner
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(16)
Models
(14)
Learning Types Β· Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI
(5)
Computer Vision
(4)
Learning Types Β· Deep Learning
(4)
Generation
(3)
Optimization & Theory Β· Deep Learning
(3)
Natural Language Processing
(2)
Architectures
(2)
Analysis
(1)
Keywords
generative model
(6)
image generation
(6)
diffusion model
(5)
knowledge distillation
(2)
large language model
(2)
conditional generation
(2)
adversarial training
(2)
out-of-distribution generalization
(2)
diffusion distillation
(2)
diffusion probabilistic model
(2)
classifier-free guidance
(2)
text-to-image generation
(2)
chain-of-thought reasoning
(1)
batch normalization
(1)
semi-supervised learning
(1)
text-to-image synthesis
(1)
semantic segmentation
(1)
learning theory
(1)
symbolic reasoning
(1)
domain generalization
(1)
Papers
Ted-Tok: Maintaining an Evolving Vocabulary for Lifelong Learning
ACL 2026
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
ICCV 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
ACL 2025
How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
ACL 2025
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
EMNLP 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
ICCV 2025
PolarNeXt: Rethink Instance Segmentation with Polar Representation
CVPR 2025
ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
ICML 2025
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
CVPR 2025
Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism
EMNLP 2025
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
ICLR 2025
Elucidating the design space of classifier-guided diffusion generation
ICLR 2024
Breaking Correlation Shift via Conditional Invariant Regularizer
ICLR 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
NeurIPS 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
NeurIPS 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
NeurIPS 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
NeurIPS 2023
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
ICML 2022
Nonlinear ICA Using Volume-Preserving Transformations
ICLR 2022
Rethinking Adversarial Transferability from a Data Distribution Perspective
ICLR 2022
Improved OOD Generalization via Adversarial Training and Pretraing
ICML 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
ICCV 2021
New Interpretations of Normalization Methods in Deep Learning
AAAI 2020