no code implementations • ACL 2022 • Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang
In this study, based on the knowledge distillation framework and multi-task learning, we introduce the similarity metric model as an auxiliary task to improve the cross-lingual NER performance on the target domain.
1 code implementation • 23 Feb 2024 • Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li
Robots need to explore their surroundings to adapt to and tackle tasks in unknown environments.
no code implementations • 28 Sep 2023 • YiXuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li
These fields capture the dynamics of the underlying 3D environment and encode both semantic features and instance masks.
no code implementations • 4 Jul 2023 • Zhuoran Li, Ling Pan, Longbo Huang
We present a novel Diffusion Offline Multi-agent Model (DOM2) for offline Multi-Agent Reinforcement Learning (MARL).
no code implementations • 12 May 2023 • Zhuoran Li, Zhen Gao, Tuan Li
Specifically, we first propose a joint channel and location sensing scheme, which consists of a location-assisted generalized multiple measurement vector orthogonal matching pursuit (LA-GMMV-OMP) algorithm for channel estimation (CE) and a complete dictionary based localization (CDL) scheme, where a frequency selective polar-domain redundant dictionary is proposed to overcome the hybrid field beam squint effect.
no code implementations • 10 Dec 2022 • Weilin Fu, Zhuoran Li, Yupeng Zhang, Xingyou Zhou
Every financial crisis has caused a dual shock to the global economy.
no code implementations • 19 Apr 2022 • Zhuoran Li, Xing Wang, Ling Pan, Lin Zhu, Zhendong Wang, Junlan Feng, Chao Deng, Longbo Huang
A2C-GS consists of three novel components, including a verifier to validate the correctness of a generated network topology, a graph neural network (GNN) to efficiently approximate topology rating, and a DRL actor layer to conduct a topology search.