Sai Qian Zhang
13 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (6) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (28)
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Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π§¬
Topic Evolution
ποΈ
Keyword Collector
(55)
π
Century Club
(11)
Conferences
AAAI (2)
ACL (2)
EMNLP (2)
NIPS (2)
CVPR (1)
EACL (1)
ECCV (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(3)
model compression
(3)
efficient inference
(3)
speculative decoding
(2)
efficient computing
(2)
federated learning
(2)
communication efficiency
(2)
large language model
(2)
distributed learning
(1)
text generation
(1)
3d reconstruction
(1)
multimodal learning
(1)
speech recognition
(1)
neural architecture search
(1)
knowledge distillation
(1)
post-training quantization
(1)
model aggregation
(1)
object detection
(1)
distributed computing
(1)
instance segmentation
(1)
Papers
LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events
EACL 2026
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
ACL 2026
Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models
EMNLP 2025
Foveated Instance Segmentation
CVPR 2025
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
ACL 2025
T3M: Text Guided 3D Human Motion Synthesis from Speech
NAACL 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
EMNLP 2024
SphereFed: Hyperspherical Federated Learning
ECCV 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
AAAI 2022
RTN: Reparameterized Ternary Network
AAAI 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control
NIPS 2020
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
NIPS 2019