Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Zijian Wang
Observed name:
Wang, Zijian
Institutions:
Chongqing University,
The University of Queensland,
Renmin University of China,
Nanjing University
Observed institutions:
Chongqing University,
The University of Queensland,
Renmin University of China,
Nanjing University
OpenAlex ID:
A5140184588
Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
2026
·
Gui, Xinyuan
, Wang, Shaowen
, et al.
·
arXiv (Cornell University)
PDF
StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models
2026
·
Xu, Siyu
, Wang, Yunke
, et al.
·
arXiv (Cornell University)
PDF
LAVE: Latent Visual Evidence-Enhanced Planning for Video Tool-use Agents
2026
·
Wang, Zijian
, Zhu, Junnan
, et al.
·
arXiv (Cornell University)
PDF
FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture
2026
·
Wang, Zijian
, Li, Pengfei
, et al.
·
arXiv (Cornell University)
PDF
PosterHarness: Turning Scientific Poster Generation into an Auditable Instruction-Following Benchmark
2026
·
Yang, Tianyi
, Fu, Dawei
, et al.
·
arXiv (Cornell University)
PDF
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
2026
·
Wang, Shijie
, Luo, Yadan
, et al.
·
arXiv (Cornell University)
PDF
Hift-Former: Unifying Hilbert Serialization and Frequency Priors for Robust Blind Face Restoration
2026
·
Wang, Zijian
, Zou, Wenbin
, et al.
·
Eurographics
KFS-RAG: Mitigating Database Leakage in RAG Systems with Keyword-Grounded Fact Substitution
2026
·
ZiLiang Zhang
, Yubo Zhu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
When Does Visual Generation Help Visual Understanding in Unified Multimodal Models?
2026
·
Yubo Zhu
, Zhehan Kan
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Show more works
View as search
Works count:
9
Citation count:
H-index:
I10-index:
Year
Topic
Type