1 code implementation • 16 Jan 2020 • Tianhao Li, Li-Min Wang
In addition, our CPD model yields a new state of the art for zero-shot action recognition on UCF101 by directly utilizing the learnt visual-textual embeddings.
no code implementations • 30 Apr 2021 • TianHao Li, Yu Tian, Shuai Yuan, Naijin Liu
In this paper, a novel bandwidth negotiation mechanism is proposed for massive devices wireless spectrum sharing, in which individual device locally negotiates bandwidth usage with neighbor devices and globally optimal spectrum utilization is achieved through distributed decision-making.
no code implementations • 8 May 2021 • Zhishun Wang, Wei Lu, Kaixin Zhang, TianHao Li, Zixi Zhao
It is a difficult task for both professional investors and individual traders continuously making profit in stock market.
no code implementations • 6 Aug 2021 • Wei Wang, Weiqing Min, TianHao Li, Xiaoxiao Dong, Haisheng Li, Shuqiang Jiang
We also provide the latest ideas for future development of VBDA, e. g., fine-grained food analysis and accurate volume estimation.
1 code implementation • ICCV 2021 • TianHao Li, LiMin Wang, Gangshan Wu
In this paper, we show that soft label can serve as a powerful solution to incorporate label correlation into a multi-stage training scheme for long-tailed recognition.
Ranked #43 on Long-tail Learning on CIFAR-100-LT (ρ=100)
2 code implementations • 10 Sep 2021 • Zhenzhi Wang, LiMin Wang, Tao Wu, TianHao Li, Gangshan Wu
Instead, from a perspective on temporal grounding as a metric-learning problem, we present a Mutual Matching Network (MMN), to directly model the similarity between language queries and video moments in a joint embedding space.
Ranked #3 on Temporal Sentence Grounding on Charades-STA
no code implementations • 27 Oct 2021 • Ajay Jaiswal, TianHao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
In this paper, we proposed a novel and simple data augmentation method based on patient metadata and supervised knowledge to create clinically accurate positive and negative augmentations for chest X-rays.
1 code implementation • 12 Aug 2022 • Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, TianHao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang
BERT-style models pre-trained on the general corpus (e. g., Wikipedia) and fine-tuned on specific task corpus, have recently emerged as breakthrough techniques in many NLP tasks: question answering, text classification, sequence labeling and so on.
no code implementations • 22 Sep 2022 • TianHao Li, Zhixin Liu, Lizheng Liu, Xiaoming Hu
Finally, we give a sufficient condition under which this model has a globally asymptotically stable equilibrium with synchronized minicolumn states in each hypercolumn, which implies that in this case recalling is impossible.
no code implementations • 18 Apr 2023 • TianHao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim
Large pre-trained language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data.
1 code implementation • 12 Jul 2023 • Xiangpeng Wei, Haoran Wei, Huan Lin, TianHao Li, Pei Zhang, Xingzhang Ren, Mei Li, Yu Wan, Zhiwei Cao, Binbin Xie, Tianxiang Hu, Shangjie Li, Binyuan Hui, Bowen Yu, Dayiheng Liu, Baosong Yang, Fei Huang, Jun Xie
Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and generate following nature language instructions.
1 code implementation • journal 2023 • Wenjing Shao, Weiqing Min, Sujuan Hou, Mengjiang Luo, TianHao Li, Yuanjie Zheng, Shuqiang Jiang
In this paper, we designed one RGB-D fusion network, which integrated multimodal feature fusion (MMFF) and multi-scale fusion for visioin-based nutrition assessment.
no code implementations • 26 Oct 2023 • TianHao Li, Ruichang Zhang, Zhixin Liu, Zhuo Zou, Xiaoming Hu
Under mild conditions on the parameters of the linearized Turing's model, we prove the equivalence between controllability of the linearized Turing's model and controllability of a Laplace dynamic system with agents of first order dynamics.
no code implementations • 25 Jan 2024 • Mingquan Lin, TianHao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng
Our proposed AI model utilizes supervised contrastive learning to minimize bias in CXR diagnosis.