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Jinqiao Wang
Observed names:
Fang, Junfeng,
Wang, Jinqiao
Institutions:
National University of Singapore,
Chinese Academy of Sciences,
Institute of Automation,
University of Chinese Academy of Sciences
Observed institutions:
National University of Singapore,
Chinese Academy of Sciences,
Institute of Automation,
University of Chinese Academy of Sciences
OpenAlex ID:
A5151699674
G-ray: Ray-Level Relative Geometric Position Encoding in Multi-View Vision Transformers under Camera Heterogeneity
2026
·
Zhang, Shuo
, Su, Xin
, et al.
·
arXiv (Cornell University)
PDF
Data-Free On-Policy Distillation: How Far Can We Go Without External Data?
2026
·
Li, Gengsheng
, Zheng, Mao
, et al.
·
arXiv (Cornell University)
PDF
Continual Learning in Transition
2026
·
Hou, Zhiyan
, Zhang, Dan
, et al.
·
arXiv (Cornell University)
PDF
DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models
2026
·
Hou, ZhiYan
, Tang, Xinyu
, et al.
·
arXiv (Cornell University)
PDF
Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL
2026
·
Liang, Ruiming
, Zhong, Yi
, et al.
·
arXiv (Cornell University)
PDF
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models
2026
·
Ma, Kexin
, Xiao, Jing
, et al.
·
arXiv (Cornell University)
PDF
PLUME: Latent Reasoning Based Universal Multimodal Embedding
2026
·
He, Chenwei
, Hao, Xiangzhao
, et al.
·
arXiv (Cornell University)
PDF
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
2026
·
Li, Gengsheng
, Yang, Tianyu
, et al.
·
arXiv (Cornell University)
PDF
R-Diverse: Mitigating Diversity Illusion in Self-Play LLM Training
2026
·
Li, Gengsheng
, He, Jinghan
, et al.
·
arXiv (Cornell University)
PDF
ResMerge: Residual-based Spectral Merging of Large Language Models
2026
·
Yandu Sun
, ZhiYan Hou
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents
2026
·
Gengsheng Li
, Mao Zheng
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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11
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