99 citations · 157 across the 11 of their papers we have counts for
8 papers · 1 filter
Understanding recent deep-learning techniques for identifying collective variables of molecular dynamics
Wei Zhang, Christof Schütte
High-dimensional metastable molecular system can often be characterised by a few features of the system, i.e. collective variables (CVs). Thanks to the rapid advance in the area of…
Interactive Conversational Head Generation
Mohan Zhou, Yalong Bai, Wei Zhang +2
We introduce a new conversation head generation benchmark for synthesizing behaviors of a single interlocutor in a face-to-face conversation. The capability to automatically synthe…
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Ziqiang Li, Hong Sun, Pengfei Xia +6
Poisoning efficiency is crucial in poisoning-based backdoor attacks, as attackers aim to minimize the number of poisoning samples while maximizing attack efficacy. Recent studies h…
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Qingyue Yang, Hongjing Niu, Pengfei Xia +2
Domain generalization (DG), aiming at models able to work on multiple unseen domains, is a must-have characteristic of general artificial intelligence. DG based on single source do…
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking
Fangwei Zhong, Xiao Bi, Yudi Zhang +2
Active Object Tracking (AOT) aims to maintain a specific relation between the tracker and object(s) by autonomously controlling the motion system of a tracker given observations. A…
Simulation-to-reality UAV Fault Diagnosis with Deep Learning
Wei Zhang, Junjie Tong, Fang Liao +1
Accurate diagnosis of propeller faults is crucial for ensuring the safe and efficient operation of quadrotors. Training a fault classifier using simulated data and deploying it on…
Multiscale simulations of growth-dominated SbTe phase-change material for non-volatile photonic applications
Xu-Dong Wang, Wen Zhou, Hangming Zhang +5
Chalcogenide phase-change materials (PCMs) are widely applied in electronic and photonic applications, such as non-volatile memory and neuro-inspired computing. Doped SbTe allo…
EPR-Net: Constructing non-equilibrium potential landscape via a variational force projection formulation
Yue Zhao, Wei Zhang, Tiejun Li
We present EPR-Net, a novel and effective deep learning approach that tackles a crucial challenge in biophysics: constructing potential landscapes for high-dimensional non-equilibr…