216 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northwestern Polytechnical UniversityCN4 papers
- University of Chinese Academy of SciencesCN3 papers
- Chinese Academy of SciencesCN2 papers
- Chinese University of Hong KongHK2 papers
- Institute of AutomationCN2 papers
- Institute of Information EngineeringCN2 papers
- ShanghaiTech UniversityCN2 papers
- Beijing Friendship HospitalCN1 paper
- Beijing University of TechnologyCN1 paper
- Capital Medical UniversityCN1 paper
- Carnegie Mellon UniversityUS1 paper
- Fudan UniversityCN1 paper
28 papers
MiCU: End-to-End Smart Home Command Understanding with Large Language Model
Haowei Han, Kexin Hu, Weiwei Cai +6
Command understanding systems in smart home ecosystems can automate device control and substantially improve user experience. However, while they perform well on precise utterances…
SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?
Muxin Tian, Zhe Wang, Blair Yang +7
Can large language model agents develop industry-level mobile applications? We introduce \textbf{SWE-Bench Mobile}, a benchmark for evaluating coding agents on realistic software e…
LST-1 follow-up of the exceptionally bright gamma-ray burst GRB 221009A
Arnau Aguasca-Cabot, Alessandro Carosi, Alice Donini +6
On 9 October 2022, the brightest gamma-ray burst (GRB) ever recorded (GRB 221009A) was detected. Its remarkably bright emission, partially due to its close distance to Earth ($z\si…
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
Qiang Xiang, Shuang Sun, Binglei Li +6
Diffusion models have demonstrated remarkable capabilities in generating high-quality images. Recent advancements in Layout-to-Image (L2I) generation have leveraged positional cond…
LST-1 observations of GRB 221009A: Insights into its late-time VHE afterglow
Arnau Aguasca-Cabot, Susumu Inoue, Monica Seglar-Arroyo +3
Gamma-ray bursts (GRBs) originate from explosions at cosmological distances, generating collimated jets. GRB 221009A, exploded on 9 October 2022, has been established as the bright…
First IACT Waveform Analysis Based on Deep Convolutional Neural Networks Using CTLearn
T. Miener, L. Burmistrov, B. Lacave +1
Imaging atmospheric Cherenkov telescopes (IACTs) detect extended air showers (EASs) generated when very-high-energy (VHE) gamma rays or cosmic rays interact with the Earth's atmosp…
Deep Learning-Based Stereoscopic Event Reconstruction for CTAO using CTLearn
T. Miener, I. Viale, B. Lacave +1
The Cherenkov Telescope Array Observatory (CTAO), a next-generation ground-based gamma-ray observatory, will be composed of two arrays of multiple imaging atmospheric Cherenkov tel…
The AdvCam: Designing the future cameras for the Large-Sized Telescope of the Cherenkov Telescope Array Observatory
Matthieu Heller
An international collaboration composed of Italian, Japanese, Spanish and Swiss institutes, is developing the advanced camera (AdvCam), the next-generation camera for Imaging Atmos…
Competition between Increasing and Decreasing Effects of the Afterpulsing Rate of PMTs during Night-Sky Observations
Takuto Kiyomoto, Tsutomu Nagayoshi, Shunsuke Sakurai +13
Photomultiplier tubes (PMTs) have been widely used in imaging atmospheric Cherenkov telescopes (IACTs). The Large-Sized Telescopes (LSTs) of the Cherenkov Telescope Array Observato…
Efficient Extraction of Noise-Robust Discrete Units from Self-Supervised Speech Models
Jakob Poncelet, Yujun Wang, Hugo Van hamme
Continuous speech can be converted into a discrete sequence by deriving discrete units from the hidden features of self-supervised learned (SSL) speech models. Although SSL models…
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
Heqing Zou, Tianze Luo, Guiyang Xie +8
The integration of Large Language Models (LLMs) with visual encoders has recently shown promising performance in visual understanding tasks, leveraging their inherent capability to…
SliceMamba with Neural Architecture Search for Medical Image Segmentation
Chao Fan, Hongyuan Yu, Yan Huang +3
Despite the progress made in Mamba-based medical image segmentation models, existing methods utilizing unidirectional or multi-directional feature scanning mechanisms struggle to e…
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer
Jinpeng Yu, Binbin Huang, Yuxuan Zhang +3
Point cloud completion aims to recover accurate global geometry and preserve fine-grained local details from partial point clouds. Conventional methods typically predict unseen poi…
HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation
Hongyuan Yu, Cheng Wan, Xiyang Dai +6
Real-time image segmentation demands architectures that preserve fine spatial detail while capturing global context under tight latency and memory budgets. Image segmentation is on…
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen, Bingyu Liao, Jing Luo +2
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model. Conversation reasoning, as a critical component…
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Guoguo Chen, Shuzhou Chai, Guanbo Wang +18
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and…
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao, Xixun Lin, Shu Guo +3
Bipartite graph embedding has recently attracted much attention due to the fact that bipartite graphs are widely used in various application domains. Most previous methods, which a…
Multistream CNN for Robust Acoustic Modeling
Kyu J. Han, Jing Pan, Venkata Krishna Naveen Tadala +2
This paper proposes multistream CNN, a novel neural network architecture for robust acoustic modeling in speech recognition tasks. The proposed architecture processes input speech…
Graph Structured Network for Image-Text Matching
Chunxiao Liu, Zhendong Mao, Tianzhu Zhang +3
Image-text matching has received growing interest since it bridges vision and language. The key challenge lies in how to learn correspondence between image and text. Existing works…
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao +1
Recent work has shown that a variety of semantics emerge in the latent space of Generative Adversarial Networks (GANs) when being trained to synthesize images. However, it is diffi…
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Xiangxiang Chu, Tianbao Zhou, Bo Zhang +1
Differentiable Architecture Search (DARTS) is now a widely disseminated weight-sharing neural architecture search method. However, it suffers from well-known performance collapse d…
MoGA: Searching Beyond MobileNetV3
Xiangxiang Chu, Bo Zhang, Ruijun Xu
The evolution of MobileNets has laid a solid foundation for neural network applications on mobile end. With the latest MobileNetV3, neural architecture search again claimed its sup…
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Hailong Ma +2
Deep convolutional neural networks demonstrate impressive results in the super-resolution domain. A series of studies concentrate on improving peak signal noise ratio (PSNR) by usi…
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Xiangxiang Chu
As the most successful variant and improvement for Trust Region Policy Optimization (TRPO), proximal policy optimization (PPO) has been widely applied across various domains with s…