Search Results for author: Wen Hu

Found 18 papers, 3 papers with code

LatentSpeech: Latent Diffusion for Text-To-Speech Generation

no code implementations11 Dec 2024 Haowei Lou, Helen Paik, Pari Delir Haghighi, Wen Hu, Lina Yao

By using latent embeddings as the intermediate representation, LatentSpeech reduces the target dimension to 5% of what is required for MelSpecs, simplifying the processing for the TTS encoder and vocoder and enabling efficient high-quality speech generation.

Text to Speech

Aligner-Guided Training Paradigm: Advancing Text-to-Speech Models with Aligner Guided Duration

no code implementations11 Dec 2024 Haowei Lou, Helen Paik, Wen Hu, Lina Yao

Recent advancements in text-to-speech (TTS) systems, such as FastSpeech and StyleSpeech, have significantly improved speech generation quality.

Text to Speech

LightLLM: A Versatile Large Language Model for Predictive Light Sensing

no code implementations20 Nov 2024 Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu

We propose LightLLM, a model that fine tunes pre-trained large language models (LLMs) for light-based sensing tasks.

Language Modeling Language Modelling +1

Dual Conditional Diffusion Models for Sequential Recommendation

no code implementations29 Oct 2024 Hongtao Huang, Chengkai Huang, Xiaojun Chang, Wen Hu, Lina Yao

First, they implicitly model the diffusion process for target item embeddings rather than the discrete target item itself, leading to inconsistency in the recommendation process.

Sequential Recommendation

MotionLeaf: Fine-grained Multi-Leaf Damped Vibration Monitoring for Plant Water Stress using Low-Cost mmWave Sensors

no code implementations20 Sep 2024 Mark Cardamis, Chun Tung Chou, Wen Hu

In this paper, we introduce MotionLeaf , a novel mmWave base multi-point vibration frequency measurement system that can estimate plant stress by analyzing the surface vibrations of multiple leaves.

blind source separation

Leafeon: Towards Accurate, Robust and Low-cost Leaf Water Content Sensing Using mmWave Radar

no code implementations20 Sep 2024 Mark Cardamis, Hong Jia, Hao Qian, Wenyao Chen, Yihe Yan, Oula Ghannoum, Aaron Quigley, Chung Tung Chou, Wen Hu

While recent studies have shown the potential of using millimeter-wave (mmWave) radar for plant sensing, many overlook crucial factors such as leaf structure and surface roughness, which can impact the accuracy of the measurements.

StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech

1 code implementation27 Aug 2024 Haowei Lou, Helen Paik, Wen Hu, Lina Yao

This paper introduces StyleSpeech, a novel Text-to-Speech~(TTS) system that enhances the naturalness and accuracy of synthesized speech.

parameter-efficient fine-tuning Text to Speech

VDTuner: Automated Performance Tuning for Vector Data Management Systems

1 code implementation16 Apr 2024 Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu

However, due to the inherent characteristics of VDMS, automatic performance tuning for VDMS faces several critical challenges, which cannot be well addressed by the existing auto-tuning methods.

Bayesian Optimization Information Retrieval +1

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation

no code implementations22 Mar 2024 Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu

Recent methods utilize graph contrastive Learning within graph-structured user-item interaction data for collaborative filtering and have demonstrated their efficacy in recommendation tasks.

Collaborative Filtering Contrastive Learning +1

Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans

no code implementations23 Jul 2023 Rumeng Li, Xun Wang, Dan Berlowitz, Brian Silver, Wen Hu, Heather Keating, Raelene Goodwin, Weisong Liu, Honghuang Lin, Hong Yu

We used a panel of AD-related keywords and their occurrences over time in a patient's longitudinal EHRs as predictors for AD prediction with four machine learning models.

Seirios: Leveraging Multiple Channels for LoRaWAN Indoor and Outdoor Localization

no code implementations16 Aug 2021 Jun Liu, Jiayao Gao, Sanjay Jha, Wen Hu

By exploiting both the original and the conjugate of the physical layer, Seirios can resolve the direct path from multiple reflectors in both indoor and outdoor environments.

Outdoor Localization Super-Resolution

Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions

no code implementations23 Oct 2020 Isura Nirmal, Abdelwahed Khamis, Mahbub Hassan, Wen Hu, Xiaoqing Zhu

While decade-long research has clearly demonstrated the vast potential of radio frequency (RF) for many human sensing tasks, scaling this technology to large scenarios remained problematic with conventional approaches.

Deep Learning

Simultaneous Energy Harvesting and Gait Recognition using Piezoelectric Energy Harvester

no code implementations6 Sep 2020 Dong Ma, Guohao Lan, Weitao Xu, Mahbub Hassan, Wen Hu

We prototype the proposed gait recognition architecture in the form factor of an insole and evaluate its gait recognition as well as energy harvesting performance with 20 subjects.

Gait Recognition

SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells

1 code implementation5 Dec 2018 Dong Ma, Guohao Lan, Mahbub Hassan, Wen Hu, Mushfika B. Upama, Ashraf Uddin, Moustafa Youssef

We design a system, SolarGest, which can recognize hand gestures near a solar-powered device by analyzing the patterns of the photocurrent.

Human-Computer Interaction

Compressive hyperspectral imaging via adaptive sampling and dictionary learning

no code implementations2 Dec 2015 Mingrui Yang, Frank de Hoog, Yuqi Fan, Wen Hu

In this paper, we propose a new sampling strategy for hyperspectral signals that is based on dictionary learning and singular value decomposition (SVD).

Compressive Sensing Dictionary Learning

Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control

no code implementations5 Sep 2014 Rajib Rana, Brano Kusy, Josh Wall, Wen Hu

Much of the energy consumption in buildings is due to HVAC systems, which has motivated several recent studies on making these systems more energy- efficient.

General Classification Sensor Fusion

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