Search Results for author: Yuhan Zhang

Found 17 papers, 7 papers with code

Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics

1 code implementation2 Nov 2023 Yuhan Zhang, Edward Gibson, Forrest Davis

We found that probabilities represented by LMs were more likely to align with human judgments of being "tricked" by the NPI illusion which examines a structural dependency, compared to the comparative and the depth-charge illusions which require sophisticated semantic understanding.

Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration

no code implementations12 Aug 2023 Yuhan Zhang, Kun Huang, Mingchao Li, Songtao Yuan, Qiang Chen

We propose a single-horizon disease evolution network (SHENet) to predictively generate post-therapeutic SD-OCT images by inputting pre-therapeutic SD-OCT images with neovascular age-related macular degeneration (nAMD).

Disease Prediction

ReactGenie: An Object-Oriented State Abstraction for Complex Multimodal Interactions Using Large Language Models

no code implementations16 Jun 2023 Jackie, Yang, Karina Li, Daniel Wan Rosli, Shuning Zhang, Yuhan Zhang, Monica S. Lam, James A. Landay

We evaluated the accuracy of the language parser using elicited commands from crowd workers and evaluated the usability of the generated multimodal app with 16 participants.

Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration

no code implementations9 Jun 2023 Yanxiong Li, Mingle Liu, Wucheng Wang, Yuhan Zhang, Qianhua He

In this study, we propose a method for acoustic scene clustering that jointly optimizes the procedures of feature learning and clustering iteration.

Acoustic Scene Classification Audio Signal Processing +2

Adaptive Data Augmentation for Contrastive Learning

no code implementations5 Apr 2023 Yuhan Zhang, He Zhu, Shan Yu

In computer vision, contrastive learning is the most advanced unsupervised learning framework.

Contrastive Learning Data Augmentation

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out

no code implementations17 Mar 2023 Zidi Xiu, Kai-Chen Cheng, David Q. Sun, Jiannan Lu, Hadas Kotek, Yuhan Zhang, Paul McCarthy, Christopher Klein, Stephen Pulman, Jason D. Williams

Next, we expand the time horizon to examine behavior changes and show that as users discover the limitations of the IA's understanding and functional capabilities, they learn to adjust the scope and wording of their requests to increase the likelihood of receiving a helpful response from the IA.

Representing Affect Information in Word Embeddings

no code implementations21 Sep 2022 Yuhan Zhang, Wenqi Chen, Ruihan Zhang, Xiajie Zhang

A growing body of research in natural language processing (NLP) and natural language understanding (NLU) is investigating human-like knowledge learned or encoded in the word embeddings from large language models.

Natural Language Understanding Word Embeddings

Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

1 code implementation CVPR 2021 Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei

%We argue that such flexibility is also important for deep metric learning, because different visual concepts indeed correspond to different semantic scales.

Metric Learning

OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study

1 code implementation14 Dec 2020 Mingchao Li, Kun Huang, Qiuzhuo Xu, Jiadong Yang, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu, Qiang Chen

Optical coherence tomography angiography (OCTA) is a novel imaging modality that has been widely utilized in ophthalmology and neuroscience studies to observe retinal vessels and microvascular systems.

Image Segmentation Segmentation +1

Meta-Learning for Neural Relation Classification with Distant Supervision

no code implementations26 Oct 2020 Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li

Distant supervision provides a means to create a large number of weakly labeled data at low cost for relation classification.

Classification General Classification +2

Modeling the US-China trade conflict: a utility theory approach

no code implementations23 Oct 2020 Yuhan Zhang, Cheng Chang

This paper models the US-China trade conflict and attempts to analyze the (optimal) strategic choices.

A Real-time Contribution Measurement Method for Participants in Federated Learning

no code implementations28 Sep 2020 Bingjie Yan, Yize Zhou, Boyi Liu, Jun Wang, Yuhan Zhang, Li Liu, Xiaolan Nie, Zhiwei Fan, Zhixuan Liang

However, there is a lack of a sufficiently reasonable contribution measurement mechanism to distribute the reward for each agent.

Federated Learning

Circle Loss: A Unified Perspective of Pair Similarity Optimization

10 code implementations CVPR 2020 Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei

This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Recognition Face Verification +4

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