Shuiguang Deng
18 papers · 2024–2026 · 7 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
Jump to papers ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36) 🗃️ Keyword Collector (86)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(11)
Machine Learning
(10)
Deep Learning
(8)
Learning Paradigms · Artificial Intelligence
(6)
Natural Language Processing
(5)
Application Areas
(5)
Architectures
(5)
Learning Types · Machine Learning
(4)
Resources & Methods
(4)
Learning Paradigms · Machine Learning
(3)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Keywords
federated learning
(5)
spiking neural network
(4)
large language model
(3)
edge computing
(3)
adversarial learning
(2)
code generation
(2)
energy consumption
(2)
multi-agent system
(2)
feature learning
(1)
confidence calibration
(1)
causal inference
(1)
incremental learning
(1)
privacy preservation
(1)
model aggregation
(1)
knowledge distillation
(1)
benchmark evaluation
(1)
fault recovery
(1)
locality sensitive hashing
(1)
backdoor attack
(1)
semi-supervised regression
(1)
Papers
DRAMA: Next-Gen Dynamic Orchestration for Resilient Multi-Agent Ecosystems in Flux
CVPR 2026
DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
AAAI 2026
GaussianMatch: Semi-Supervised Regression with Pseudo-Label Filtering via Multi-View Gaussian Consistency
CVPR 2026
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
AAAI 2026
SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models
CVPR 2026
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
CVPR 2025
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
IJCAI 2025
CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field
EMNLP 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
IJCAI 2025
ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration
ACL 2025
Federated Data-Efficient Instruction Tuning for Large Language Models
ACL 2025
Horae: A Domain-Agnostic Language for Automated Service Regulation
IJCAI 2025
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
ACL 2024
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices
IJCAI 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
ICML 2024
Learning-Augmented Algorithms for the Bahncard Problem
NeurIPS 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
AAAI 2024