Publications (28)
PAC: Pronunciation-Aware Contextualized Large Language Model-based Automatic Speech Recognition
Li Fu, Yu Xin, Sunlu Zeng +3
This paper presents a Pronunciation-Aware Contextualized (PAC) framework to address two key challenges in Large Language Model (LLM)-based Automatic Speech Recognition (ASR) system…
Incremental Learning for End-to-End Automatic Speech Recognition
Li Fu, Xiaoxiao Li, Libo Zi +4
In this paper, we propose an incremental learning method for end-to-end Automatic Speech Recognition (ASR) which enables an ASR system to perform well on new tasks while maintainin…
Electrochemistry-Enhanced Dynamic Paths Sampling Unveiling Nuclear Quantum Effects in Electrocatalysis
Li Fu, Yifan Li, Menglin Sun +3
Proton-coupled electron transfers (PCET) are elementary steps in electrocatalysis. However, accurate calculations of PCET rates remain challenging, especially considering nuclear q…
Measuring surface charge: why experimental characterization and molecular modeling should be coupled
Remco Hartkamp, Anne-Laure Biance, Li Fu +3
Surface charge controls many static and dynamic properties of soft matter and micro/nanofluidic systems, but its unambiguous measurement forms a challenge. Standard characterizatio…
Space very long baseline interferometry in China
Tao An, Xiaoyu Hong, Weimin Zheng +19
Space very long baseline interferometry (VLBI) has unique applications in high-resolution imaging of fine structure of astronomical objects and high-precision astrometry due to the…
Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information
Fan Zhang, Li Fu, Weiwei Gao +2
Vacancy-ordered double perovskites (VODPs) are promising alternatives to three-dimensional lead halide perovskites for optoelectronic and photovoltaic applications. Mixing these ma…
Giant thermoelectric response of nanofluidic systems driven by water excess enthalpy
Li Fu, Laurent Joly, Samy Merabia
Nanofluidic systems could in principle be used to produce electricity from waste heat, but current theoretical descriptions predict a rather poor performance as compared to thermoe…
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
Li Fu, Longfei Lv, Fan Zhang +3
Singlet fission (SF) provides a promising strategy for surpassing the Shockley-Queisser limit in photovoltaics. However, the identification of efficient SF materials is hindered by…
Defining implication relation for classical logic
Li Fu
In classical logic, "P implies Q" is equivalent to "not-P or Q". It is well known that the equivalence is problematic. Actually, from "P implies Q", "not-P or Q" can be inferred ("…
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition
Li Fu, Siqi Li, Qingtao Li +6
Self-Supervised Learning (SSL) Automatic Speech Recognition (ASR) models have shown great promise over Supervised Learning (SL) ones in low-resource settings. However, the advantag…
Liquid-solid slip on charged walls: dramatic impact of charge distribution
Yanbo Xie, Li Fu, Thomas Niehaus +1
Nanofluidic systems show great promises for applications in energy conversion, where their performance can be enhanced by nanoscale liquid-solid slip. However, efficiency is also c…
All-Silicon Topological Semimetals with Closed Nodal Line
Zhifeng Liu, Hongli Xin, Li Fu +5
Owing to the natural compatibility with current semiconductor industry, silicon allotropes with diverse structural and electronic properties provide promising platforms for the nex…
First Detection of Radio Recombination Lines of Ions Heavier than Helium
Xunchuan Liu, Tie Liu, Zhiqiang Shen +31
We report the first detection of radio recombination lines (RRLs) of ions heavier than helium. In a highly sensitive multi-band (12--50 GHz) line survey toward Orion KL with the Ti…
Ionic blockade in a charged single-file water channel
Shusong Zhang, Li Fu, Yanbo Xie
The classical continuum theories fail to describe the ionic transport in Angstrom channels, where conduction deviates from Ohm's law, as attributed to dehydration/self-energy barri…
Automated Discovery of Metainterfaces with Tailored Friction Laws
Li Fu, Djibril Gabriel Kashala, D. Dalmas +1
Providing dry solid contacts with on-demand macroscale frictional behaviour remains a formidable challenge in tribology, haptics or robotics. Metainterfaces created from surfaces w…
UME: Upcycling Mixture-of-Experts for Scalable and Efficient Automatic Speech Recognition
Li Fu, Shanyong Yu, Siqi Li +3
Recent advancements in scaling up models have significantly improved performance in Automatic Speech Recognition (ASR) tasks. However, training large ASR models from scratch remain…
An efficient quantum circuits optimizing scheme compared with QISKit
Xin Zhang, Hong Xiang, Tao Xiang +2
Recently, the development of quantum chips has made great progress-- the number of qubits is increasing and the fidelity is getting higher. However, qubits of these chips are not a…
fix pimd/langevin: An Efficient Implementation of Path Integral Molecular Dynamics in LAMMPS
Yifan Li, Axel Gomez, Kehan Cai +10
Path integral molecular dynamics (PIMD), which maps a quantum particle onto a fictitious classical system of ring polymers and propagates the "beads" of this extended classical sys…
Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction
Jiawei Li, Chunxu Guo, Li Fu +3
Reconstructing natural speech from neural activity is vital for enabling direct communication via brain-computer interfaces. Previous efforts have explored the conversion of neural…
The first Ka-band (26.1-35 GHz) blind line survey towards Orion KL
Xunchuan Liu, Tie Liu, Zhiqiang Shen +30
We conducted a Ka-band (26.1--35 GHz) line survey towards Orion KL using the TianMa 65-m Radio Telescope (TMRT). It is the first blind line survey in the Ka band, and achieves a se…
UFO2: A unified pre-training framework for online and offline speech recognition
Li Fu, Siqi Li, Qingtao Li +5
In this paper, we propose a Unified pre-training Framework for Online and Offline (UFO2) Automatic Speech Recognition (ASR), which 1) simplifies the two separate training workflows…
Learning Enhanced Resolution-wise features for Human Pose Estimation
Kun Zhang, Peng He, Ping Yao +6
Recently, multi-resolution networks (such as Hourglass, CPN, HRNet, etc.) have achieved significant performance on pose estimation by combining feature maps of various resolutions.…
What controls thermo-osmosis? Molecular simulations show the critical role of interfacial hydrodynamics
Li Fu, Samy Merabia, Laurent Joly
Thermo-osmotic and related thermo-phoretic phenomena can be found in many situations from biology to colloid science, but the underlying molecular mechanisms remain largely unexplo…
Self-repairing high entropy oxides
Zongwen Liu, Pengru Huang, Lixian Sun +20
All biological organisms, from plants to living creatures, can heal minor wounds and damage. The realization of a similar self-healing capacity in inorganic materials has been a de…
SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition
Li Fu, Xiaoxiao Li, Runyu Wang +5
End-to-end Automatic Speech Recognition (ASR) models are usually trained to optimize the loss of the whole token sequence, while neglecting explicit phonemic-granularity supervisio…
A Q-band line survey towards Orion KL using the Tianma radio telescope
Xunchuan Liu, Tie Liu, Zhiqiang Shen +28
We have conducted a line survey towards Orion KL using the Q-band receiver of Tianma 65 m radio telescope (TMRT), covering 34.8--50 GHz with a velocity resolution between 0.79 km s…
Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition
Li Fu, Xiaoxiao Li, Libo Zi
Modeling unit and model architecture are two key factors of Recurrent Neural Network Transducer (RNN-T) in end-to-end speech recognition. To improve the performance of RNN-T for Ma…
Do self-supervised speech and language models extract similar representations as human brain?
Peili Chen, Linyang He, Li Fu +3
Speech and language models trained through self-supervised learning (SSL) demonstrate strong alignment with brain activity during speech and language perception. However, given the…