Jiamang Wang
7 papers · 2024–2026 · 4 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Computer Science
(3)
Systems
(3)
Machine Learning
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Architectures
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
large language model
(3)
domain adaptation
(2)
reinforcement learning
(2)
transfer learning
(1)
knowledge distillation
(1)
multimodal learning
(1)
resource allocation
(1)
distributed training
(1)
straggler mitigation
(1)
scaling law
(1)
mixture of expert
(1)
game ai
(1)
pipeline parallelism
(1)
continual pre-training
(1)
downstream performance
(1)
mixture ratio
(1)
cross-domain generalization
(1)
head-of-line blocking
(1)
gpu utilization
(1)
cluster scheduling
(1)
Papers
Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training
NSDI 2026
RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
OSDI 2026
RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching
NSDI 2026
Weave: Efficient Co-Scheduling for Disaggregated RL Post-Training
OSDI 2026
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
ICCV 2025
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NeurIPS 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NeurIPS 2024