Search Results for author: TianHao Li

Found 10 papers, 4 papers with code

CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models

no code implementations18 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.

Few-Shot Learning

Steady state behavior of the free recall dynamics of working memory

no code implementations22 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.

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search

1 code implementation12 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.

Intent Detection Question Answering +3

SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata

no code implementations27 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.

Contrastive Learning Data Augmentation

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

1 code implementation10 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.

Metric Learning Representation Learning +1

Self Supervision to Distillation for Long-Tailed Visual Recognition

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.

Long-tail Learning

A review on vision-based analysis for automatic dietary assessment

no code implementations6 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.

Food Recognition Nutrition

A parallel-network continuous quantitative trading model with GARCH and PPO

no code implementations8 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.

Decision Making reinforcement-learning +1

Mean Field MARL Based Bandwidth Negotiation Method for Massive Devices Spectrum Sharing

no code implementations30 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.

Decision Making Distributed Optimization +2

Learning Spatiotemporal Features via Video and Text Pair Discrimination

1 code implementation16 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.

Action Classification Action Recognition +1

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