Xin Ding
8 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
Top co-authors
Research topics
Deep Learning
(5)
Artificial Intelligence
(3)
Computer Vision
(3)
Machine Learning
(3)
Core AI
(3)
Models
(3)
Architectures
(2)
Core Methods
(2)
Generation
(2)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Keywords
generative adversarial network
(2)
large language model
(2)
image generation
(1)
interpretability
(1)
conditional generation
(1)
real-time processing
(1)
sampling efficiency
(1)
persistent homology
(1)
generative model
(1)
state space model
(1)
denoising diffusion
(1)
low-bit quantization
(1)
image fidelity
(1)
quantization error
(1)
generation quality
(1)
label consistency
(1)
reinforcement learning agent
(1)
streaming video
(1)
video dialogue
(1)
event-gated cognition
(1)
Papers
CBQ: Cross-Block Quantization for Large Language Models
ICLR 2025
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
CVPR 2025
StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition
ICCV 2025
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
ICML 2025
PQ-SAM: Post-training Quantization for Segment Anything Model
ECCV 2024
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
AAAI 2024
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
ICLR 2021
Learn to Recover Visible Color for Video Surveillance in a Day
ECCV 2020