858 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Artificial Intelligence LaboratoryCN102 papers
- University of Chinese Academy of SciencesCN77 papers
- Chinese Academy of SciencesCN73 papers
- Peking UniversityCN67 papers
- Tsinghua UniversityCN65 papers
- Institute of AutomationCN58 papers
- Shandong Institute of AutomationCN35 papers
- Shanghai Jiao Tong UniversityCN34 papers
- Beihang UniversityCN25 papers
- Fudan UniversityCN25 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN20 papers
- Chinese University of Hong KongHK19 papers
70 papers · 1 filter
Simulating Parametric Thin Shells by Bicubic Hermite Elements
Xingyu Ni, Xuwen Chen, Cheng Yu +2
In this study, we present the bicubic Hermite element method (BHEM), a new computational framework devised for the elastodynamic simulation of parametric thin-shell structures. The…
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
Shihao Feng, Pengpeng Liang, Jin Gao +1
Point cloud-based 3D object tracking is an important task in autonomous driving. Though great advances regarding Siamese-based 3D tracking have been made recently, it remains chall…
TMP: Temporal Motion Propagation for Online Video Super-Resolution
Zhengqiang Zhang, Ruihuang Li, Shi Guo +2
Online video super-resolution (online-VSR) highly relies on an effective alignment module to aggregate temporal information, while the strict latency requirement makes accurate and…
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
Junbo Shen, Qinze Yu, Shenyang Chen +3
Signal peptide (SP) is a short peptide located in the N-terminus of proteins. It is essential to target and transfer transmembrane and secreted proteins to correct positions. Compa…
Experimental demonstration of mice tumor control with a laser-accelerated high-energy electron radiotherapy prototype
Zhiyuan Guo, Shuang Liu, Bing Zhou +9
Radiotherapy using very-high-energy electron (VHEE) beams (50-300 MeV) has attracted considerable attention due to its advantageous dose deposition characteristics, enabling deep p…
Quantum simulation for time-dependent Hamiltonians -- with applications to non-autonomous ordinary and partial differential equations
Yu Cao, Shi Jin, Nana Liu
Non-autonomous dynamical systems appear in a very wide range of interesting applications, both in classical and quantum dynamics, where in the latter case it corresponds to having…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…
Enhanced Latent Multi-view Subspace Clustering
Long Shi, Lei Cao, Jun Wang +1
Latent multi-view subspace clustering has been demonstrated to have desirable clustering performance. However, the original latent representation method vertically concatenates the…
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Erfei Cui, Wenhai Wang, Zhiqi Li +7
Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into th…
Behavioral Authentication for Security and Safety
Cheng Wang, Hao Tang, Hangyu Zhu +2
The issues of both system security and safety can be dissected integrally from the perspective of behavioral \emph{appropriateness}. That is, a system is secure or safe can be judg…
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
Yizhou Wang, Yixuan Wu, Weizhen He +8
Human-centric perception tasks, e.g., pedestrian detection, skeleton-based action recognition, and pose estimation, have wide industrial applications, such as metaverse and sports…
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
Huan Chen, Wangcai Zhao, Tingfa Xu +3
Coded Aperture Snapshot Spectral Imaging (CASSI) reconstruction aims to recover the 3D spatial-spectral signal from 2D measurement. Existing methods for reconstructing Hyperspectra…
Self-interacting approximation to McKean-Vlasov long-time limit: a Markov chain Monte Carlo method
Kai Du, Zhenjie Ren, Florin Suciu +1
For a certain class of McKean-Vlasov processes, we introduce proxy processes that substitute the mean-field interaction with self-interaction, employing a weighted occupation measu…
AI-accelerated Discovery of Altermagnetic Materials
Ze-Feng Gao, Shuai Qu, Bocheng Zeng +5
Altermagnetism, a new magnetic phase, has been theoretically proposed and experimentally verified to be distinct from ferromagnetism and antiferromagnetism. Although altermagnets h…
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
Zihao Zhao, Zhenpeng Shi, Yang Liu +1
Federated Learning (FL) is often impeded by communication overhead issues. Prompt tuning, as a potential solution, has been introduced to only adjust a few trainable parameters rat…
Grasp Multiple Objects with One Hand
Yuyang Li, Bo Liu, Yiran Geng +5
The intricate kinematics of the human hand enable simultaneous grasping and manipulation of multiple objects, essential for tasks such as object transfer and in-hand manipulation.…
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
Qiong Chen, Tianlin Huang, Geren Zhu +1
Real-world data often exhibits a long-tailed distribution, in which head classes occupy most of the data, while tail classes only have very few samples. Models trained on long-tail…
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Ziyan Huang, Zhongying Deng, Jin Ye +11
Although deep learning have revolutionized abdominal multi-organ segmentation, models often struggle with generalization due to training on small, specific datasets. With the recen…
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
Jiankai Li, Yunhong Wang, Weixin Li
Scene Graph Generation (SGG) plays a pivotal role in downstream vision-language tasks. Existing SGG methods typically suffer from poor compositional generalizations on unseen tripl…
Geometry-enhanced Pre-training on Interatomic Potentials
Taoyong Cui, Chenyu Tang, Mao Su +6
Machine learning interatomic potentials (MLIPs) enables molecular dynamics (MD) simulations with ab initio accuracy and has been applied to various fields of physical science. Howe…
Classification of lung cancer subtypes on CT images with synthetic pathological priors
Wentao Zhu, Yuan Jin, Gege Ma +4
The accurate diagnosis on pathological subtypes for lung cancer is of significant importance for the follow-up treatments and prognosis managements. In this paper, we propose self-…
Digital twin brain: a bridge between biological intelligence and artificial intelligence
Hui Xiong, Congying Chu, Lingzhong Fan +7
In recent years, advances in neuroscience and artificial intelligence have paved the way for unprecedented opportunities for understanding the complexity of the brain and its emula…
REB: Reducing Biases in Representation for Industrial Anomaly Detection
Shuai Lyu, Dongmei Mo, Waikeung Wong
Existing representation-based methods usually conduct industrial anomaly detection in two stages: obtain feature representations with a pre-trained model and perform distance measu…
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
Zhuolun He, Haoyuan Wu, Xinyun Zhang +4
The integration of a complex set of Electronic Design Automation (EDA) tools to enhance interoperability is a critical concern for circuit designers. Recent advancements in large l…