activity
20192022
most citedSelf-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

15 citations · 53 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CL20223 cited

FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis

Yifan Hu, Rui Liu, Guanglai Gao +1

Conversational Text-to-Speech (TTS) aims to synthesis an utterance with the right linguistic and affective prosody in a conversational context. The correlation between the current…

cs.SD20222 cited

MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline

Yifan Hu, Pengkai Yin, Rui Liu +2

This paper introduces a high-quality open-source text-to-speech (TTS) synthesis dataset for Mongolian, a low-resource language spoken by over 10 million people worldwide. The datas…

cs.LG2022

SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning

Keqian Li, Yifan Hu

We study the problem of user segmentation: given a set of users and one or more predefined groups or segments, assign users to their corresponding segments. As an example, for a se…

cs.LG20221 cited

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

Thai Le, Jooyoung Lee, Kevin Yen +2

We proposes a novel algorithm, ANTHRO, that inductively extracts over 600K human-written text perturbations in the wild and leverages them for realistic adversarial attack. Unlike…

cs.AI2022

MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning

Keqian Li, Yifan Hu, Logan Palanisamy +6

Accurate understanding of users in terms of predicative segments play an essential role in the day to day operation of modern internet enterprises. Nevertheless, there are signific…

cs.NE2022

Rethinking Pretraining as a Bridge from ANNs to SNNs

Yihan Lin, Yifan Hu, Shijie Ma +2

Spiking neural networks (SNNs) are known as a typical kind of brain-inspired models with their unique features of rich neuronal dynamics, diverse coding schemes and low power consu…