Sai Qian Zhang
14 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(9)
Core AI
(8)
Deep Learning
(6)
Machine Learning
(5)
Optimization & Theory
(5)
Application Areas
(4)
Reinforcement Learning
(3)
Methods
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Learning Paradigms
(2)
Learning Types
(2)
Analysis
(1)
Architectures
(1)
Domain-Specific
(1)
Keywords
multi-agent reinforcement learning
(3)
efficient inference
(3)
model compression
(3)
communication efficiency
(2)
large language model
(2)
federated learning
(2)
speculative decoding
(2)
efficient computing
(2)
multimodal learning
(1)
speech recognition
(1)
3d reconstruction
(1)
text generation
(1)
knowledge distillation
(1)
distributed learning
(1)
object detection
(1)
post-training quantization
(1)
model aggregation
(1)
semantic segmentation
(1)
instance segmentation
(1)
neural architecture search
(1)
Papers
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
ACL 2026
LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events
EACL 2026
Stealing Split Learning Bottom Models by Recovering Embedding Geometry
CVPR 2026
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
Foveated Instance Segmentation
CVPR 2025
Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models
EMNLP 2025
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
ACL 2025
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
EMNLP 2024
T3M: Text Guided 3D Human Motion Synthesis from Speech
NAACL 2024
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
AAAI 2022
SphereFed: Hyperspherical Federated Learning
ECCV 2022
RTN: Reparameterized Ternary Network
AAAI 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control
NeurIPS 2020
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
NeurIPS 2019