activity
20232026
collaborators

10 papers

eess.SP2026

Radio-Frequency Inverse Rendering for Wireless Environment Modeling

Fuhai Wang, Zihan Jin, Lehang Wang +4

Neural rendering paradigms have recently emerged as powerful tools for radio frequency (RF). However, by entangling RF sources with scene geometry and material properties, existing…

cs.LG2026

Consistency Deep Equilibrium Models

Junchao Lin, Zenan Ling, Jingwen Xu +1

Deep Equilibrium Models (DEQs) have emerged as a powerful paradigm in deep learning, offering the ability to model infinite-depth networks with constant memory usage. However, DEQs…

cs.LG2026

Diving into Kronecker Adapters: Component Design Matters

Jiayu Bai, Danchen Yu, Zhenyu Liao +4

Kronecker adapters have emerged as a promising approach for fine-tuning large-scale models, enabling high-rank updates through tunable component structures. However, existing work…

cs.LG2025

Adaptive Discretization for Consistency Models

Jiayu Bai, Zhanbo Feng, Zhijie Deng +3

Consistency Models (CMs) have shown promise for efficient one-step generation. However, most existing CMs rely on manually designed discretization schemes, which can cause repeated…

eess.SP2025

A Large-Dimensional Analysis of ESPRIT DoA Estimation: Inconsistency and a Correction via RMT

Zhengyu Wang, Wei Yang, Xiaoyi Mai +3

In this paper, we perform asymptotic analyses of the widely used ESPRIT direction-of-arrival (DoA) estimator for large arrays, where the array size and the number of snapshots…

cs.LG2024

Series-to-Series Diffusion Bridge Model

Hao Yang, Zhanbo Feng, Feng Zhou +2

Diffusion models have risen to prominence in time series forecasting, showcasing their robust capability to model complex data distributions. However, their effectiveness in determ…

cs.LG2024

IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks

Junchao Lin, Zenan Ling, Zhanbo Feng +6

Implicit graph neural networks (IGNNs), which exhibit strong expressive power with a single layer, have recently demonstrated remarkable performance in capturing long-range depende…

cs.IT2024

R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments

Huiying Yang, Zihan Jin, Chenhao Wu +3

Recently, ray tracing has gained renewed interest with the advent of Reflective Intelligent Surfaces (RIS) technology, a key enabler of 6G wireless communications due to its capabi…

cs.LG2024

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures

Zenan Ling, Longbo Li, Zhanbo Feng +4

Deep equilibrium models (DEQs), as a typical implicit neural network, have demonstrated remarkable success on various tasks. There is, however, a lack of theoretical understanding…

cs.CV2023

Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment

Zhanbo Feng, Zenan Ling, Xinyu Lu +6

The use of denoising diffusion models is becoming increasingly popular in the field of image editing. However, current approaches often rely on either image-guided methods, which p…