activity
20232026
collaborators

14 papers

cs.CL2026

Time Delay System for Sequence Modeling

Youshan Zhang, Jialu Li

Existing sequence models share a critical limitation: they lack an explicit, interpretable mechanism for content-aware temporal recall. LSTMs compress everything into a single hidd…

cs.CV2026

UMamba: A Two-level Nested U-structure Mamba for Salient Object Detection

Junhui Li, Jialu Li, Youshan Zhang

Mamba-based models have emerged as a promising alternative for salient object detection (SOD), offering significant advantages in modeling long sequences. However, existing models…

cs.CV2026

FruitEnsemble: MLLM-Guided Arbitration for Heterogeneous ensemble in Fine-Grained Fruit Recognition

Enhui Yu, Junhui Li, Ruitong Lu +2

Fine-grained fruit classification is a critical yet challenging task in agricultural computer vision, primarily hindered by a severe shortage of high-quality datasets and the high…

cs.SD2026

MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control

Sahil Kumar, Namrataben Patel, Honggang Wang +1

MambaVoiceCloning (MVC) asks whether the conditioning path of diffusion-based TTS can be made fully SSM-only at inference, removing all attention and explicit RNN-style recurrence…

cs.CV2025

Automatic Teaching Platform on Vision Language Retrieval Augmented Generation

Ruslan Gokhman, Jialu Li, Youshan Zhang

Automating teaching presents unique challenges, as replicating human interaction and adaptability is complex. Automated systems cannot often provide nuanced, real-time feedback tha…

cs.CV2025

SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video Editing

Varun Biyyala, Bharat Chanderprakash Kathuria, Jialu Li +1

Video editing models have advanced significantly, but evaluating their performance remains challenging. Traditional metrics, such as CLIP text and image scores, often fall short: t…

cs.CV2024

SparrowVQE: Visual Question Explanation for Course Content Understanding

Jialu Li, Manish Kumar Thota, Ruslan Gokhman +2

Visual Question Answering (VQA) research seeks to create AI systems to answer natural language questions in images, yet VQA methods often yield overly simplistic and short answers.…

cs.CL2024

KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication

Sahil Kumar, Deepa Paikar, Kiran Sai Vutukuri +4

Effective communication within universities is crucial for addressing the diverse information needs of students, alumni, and external stakeholders. However, existing chatbot system…

cs.SD2024

Vision Transformer Segmentation for Visual Bird Sound Denoising

Sahil Kumar, Jialu Li, Youshan Zhang

Audio denoising, especially in the context of bird sounds, remains a challenging task due to persistent residual noise. Traditional and deep learning methods often struggle with ar…

cs.SD2024

Complex Image-Generative Diffusion Transformer for Audio Denoising

Junhui Li, Pu Wang, Jialu Li +1

The audio denoising technique has captured widespread attention in the deep neural network field. Recently, the audio denoising problem has been converted into an image generation…

cs.SD2024

Diffusion Gaussian Mixture Audio Denoise

Pu Wang, Junhui Li, Jialu Li +2

Recent diffusion models have achieved promising performances in audio-denoising tasks. The unique property of the reverse process could recover clean signals. However, the distribu…

cs.SD2023

DCHT: Deep Complex Hybrid Transformer for Speech Enhancement

Jialu Li, Junhui Li, Pu Wang +1

Most of the current deep learning-based approaches for speech enhancement only operate in the spectrogram or waveform domain. Although a cross-domain transformer combining waveform…

cs.SD2023

DPATD: Dual-Phase Audio Transformer for Denoising

Junhui Li, Pu Wang, Jialu Li +2

Recent high-performance transformer-based speech enhancement models demonstrate that time domain methods could achieve similar performance as time-frequency domain methods. However…

cs.CV2023

LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator

Lakshmikar R. Polamreddy, Youshan Zhang

The majority of road accidents occur because of human errors, including distraction, recklessness, and drunken driving. One of the effective ways to overcome this dangerous situati…