Search Results for author: TingTing Li

Found 9 papers, 1 papers with code

Probing many-body Bell correlation depth with superconducting qubits

no code implementations25 Jun 2024 Ke Wang, Weikang Li, Shibo Xu, Mengyao Hu, Jiachen Chen, Yaozu Wu, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Aosai Zhang, Ning Wang, Yiren Zou, TingTing Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Xu Zhang, Pengfei Zhang, Wenjie Jiang, Zhide Lu, Zheng-Zhi Sun, Hekang Li, Qiujiang Guo, Zhen Wang, Patrick Emonts, Jordi Tura, Chao Song, H. Wang, Dong-Ling Deng

As an illustrating example, we variationally prepare the low-energy state of a two-dimensional honeycomb model with 73 qubits and certify its Bell correlations by measuring an energy that surpasses the corresponding classical bound with up to 48 standard deviations.

A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images

no code implementations30 Apr 2024 Wang Zhang, TingTing Li, Yuntian Zhang, Gensheng Pei, Xiruo Jiang, Yazhou Yao

Nevertheless, annotated data is frequently limited in the field of remote sensing image matching.

Conversational Financial Information Retrieval Model (ConFIRM)

1 code implementation6 Oct 2023 Stephen Choi, William Gazeley, Siu Ho Wong, TingTing Li

With the exponential growth in large language models (LLMs), leveraging their emergent properties for specialized domains like finance merits exploration.

Information Retrieval intent-classification +2

SDTracker: Synthetic Data Based Multi-Object Tracking

no code implementations26 Mar 2023 Yingda Guan, Zhengyang Feng, Huiying Chang, Kuo Du, TingTing Li, Min Wang

We present SDTracker, a method that harnesses the potential of synthetic data for multi-object tracking of real-world scenes in a domain generalization and semi-supervised fashion.

Domain Generalization Multi-Object Tracking +1

Effect of Strong Time-Varying Transmission Distance on LEO Satellite-Terrestrial Deliveries

no code implementations11 Jun 2022 Yuanyuan Ma, Tiejun Lv, TingTing Li, Gaofeng Pan, Yunfei Chen, Mohamed-Slim Alouini

In this paper, we investigate the effect of the strong time-varying transmission distance on the performance of the low-earth orbit (LEO) satellite-terrestrial transmission (STT) system.

MLPSVM:A new parallel support vector machine to multi-label learning

no code implementations13 Apr 2020 Yanghong Liu, Jia Lu, TingTing Li

The problem conversion method Binary Relevance converts a familiar single label into a multi-label algorithm.

Multi-Label Learning

A method on selecting reliable samples based on fuzziness in positive and unlabeled learning

no code implementations26 Mar 2019 TingTing Li, Weiya Fan, YunSong Luo

Traditional semi-supervised learning uses only labeled instances to train a classifier and then this classifier is utilized to classify unlabeled instances, while sometimes there are only positive instances which are elements of the target concept are available in the labeled set.

valid

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