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Dongxin Guo
Observed name:
Guo, Dongxin
Institution:
University of Hong Kong
Observed institution:
University of Hong Kong
OpenAlex ID:
A5133844069
SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
10
PDF
RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
3
PDF
Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
3
PDF
Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
2
PDF
Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
2026
·
Wu, Jikun
, Guo, Dongxin
, et al.
·
arXiv (Cornell University)
·
2
PDF
SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
2
PDF
When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
2026
·
Dongxin Guo
, Jikun Wu
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
1
PDF
Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
1
PDF
Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
·
1
PDF
Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection
2026
·
Dongxin Guo
, Jikun Wu
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
PDF
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension
2026
·
Dongxin Guo
, Jikun Wu
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
PDF
Brain-LLM Alignment Tracks Training Data, Not Typology
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
PDF
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
PDF
When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
PDF
The Interference Gap: Comparing Retrieval Bounds in Human Memory and RAG Systems
2026
·
Guo, Dongxin
, Wu, Jikun
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
25
H-index:
3
I10-index:
1
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