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Tailong Luo
Observed name:
Luo, Tailong
Institutions:
New York Institute of Technology,
Peking University,
New York Institute of Technology
Observed institutions:
New York Institute of Technology,
Peking University,
New York Institute of Technology
OpenAlex ID:
A5124069974
RECAP: Looking Once Is Not Enough for Vision-Language Reasoning
2026
·
Kang, Zhaolu
, Luo, Tailong
, et al.
·
arXiv (Cornell University)
PDF
DRILL: Training World Models to Improve Policies, Not Predict Pixels
2026
·
Kang, Zhaolu
, Luo, Tailong
, et al.
·
arXiv (Cornell University)
PDF
Behavior Pack Optimization for Video MLLM Post-Training
2026
·
Kang, Zhaolu
, Liu, Shiyu
, et al.
·
arXiv (Cornell University)
PDF
MultiPress: A Multi-Agent Framework for Interpretable Multimodal News Classification
2026
·
Tailong Luo
, Hao Li
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
PDF
Beyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removal
2026
·
Tailong Luo
, Yihang Dong
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
2026
·
Fu, Rong
, Ma, Xiaowen
, et al.
·
arXiv (Cornell University)
PDF
Beyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removal
2026
·
Luo, Tailong
, Bai, Jiesong
, et al.
·
arXiv (Cornell University)
PDF
JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction
2026
·
Zhaolu Kang
, Yantao Liu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Smart Car Rental Parking Monitoring: Pickup or Return Using AI and IoT
2025
·
Tailong Luo
, Yuankai Luo
, et al.
·
Conference proceedings - Canadian Conference on Electrical and Computer Engineering
Research on Financial Credit Fraud Detection Methods Based on Temporal Behavioral Features and Transaction Network Topology
2024
·
Tailong Luo
, Dingyuan Zhang
·
Artificial Intelligence and Machine Learning Review
PDF
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Works count:
10
Citation count:
H-index:
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