Shuiguang Deng
15 papers · 2024–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11) π Renaissance Researcher (7)
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(31)
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Conference Polyglot
(7)
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Century Club
(13)
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Keyword Collector
(68)
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Prolific Year
(5)
Conferences
IJCAI (5)
AAAI (3)
ACL (3)
CVPR (1)
EMNLP (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
spiking neural network
(4)
federated learning
(4)
large language model
(3)
edge computing
(3)
adversarial learning
(2)
energy consumption
(2)
code generation
(2)
locality-sensitive hashing
(1)
knowledge distillation
(1)
benchmark evaluation
(1)
computational efficiency
(1)
instruction tuning
(1)
model aggregation
(1)
backdoor attack
(1)
adversarial defense
(1)
privacy preservation
(1)
gradient compression
(1)
incremental learning
(1)
online algorithm
(1)
knowledge graph
(1)
Papers
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
AAAI 2026
DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
AAAI 2026
Horae: A Domain-Agnostic Language for Automated Service Regulation
IJCAI 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
CVPR 2025
CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field
EMNLP 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
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
IJCAI 2025
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
IJCAI 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
ICML 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
AAAI 2024
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
ACL 2024
Learning-Augmented Algorithms for the Bahncard Problem
NIPS 2024
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices
IJCAI 2024