Publications (177)
ANNS-AMP: Accelerating Approximate Nearest Neighbor Search via Adaptive Mixed-Precision Computing
Mingkai Chen, Cheng Liu, Shengwen Liang +3
Approximate nearest neighbor search(ANNS) is a critical kernel in modern applications such as LLM and recommendation systems.However,its efficiency is fundamentally limited by the…
Kerr-enhanced optomechanical entanglement generation via reservoir design
Yan Li, Cheng Liu, Yu-Hong Liu +2
Quantum entanglement is a crucial resource in quantum technologies, enabling advancements in quantum computing, quantum communication, and quantum precision measurement. Here, we p…
Prospects for detection rate of very-high-energy γ-ray emissions from short γ-ray bursts with the HADAR experiment
Qi-Ling Chen, Pei-Jin Hu, Jing-Jing Su +22
The observation of short gamma ray bursts (SGRBs) in the TeV energy range plays an important role in understanding the radiation mechanism and probing new areas of physics such as…
SR: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Ruotian Ma, Peisong Wang, Cheng Liu +6
Recent studies have demonstrated the effectiveness of LLM test-time scaling. However, existing approaches to incentivize LLMs' deep thinking abilities generally require large-scale…
The R2Pub Telescopes for Surveying: An Overview and Performance Evaluation of the System
Xuan Song, Xiaofeng Wang, Jin Zhu +29
The R2Pub telescope, built by the Beijing Planetarium, is a 60 cm equatorial binocular telescope located at the Daocheng site of Yunnan Observatories in China, at an altitude of ab…
Understanding and Mitigating Errors of LLM-Generated RTL Code
Jiazheng Zhang, Cheng Liu, Long Cheng +2
Despite limited success in large language model (LLM)-based register-transfer-level (RTL) code generation, the root causes of errors remain poorly understood. To address this, we c…
Minute-cadence Observations of the LAMOST Fields with the TMTS: VI. Absolute Physical Parameters of Contact Binaries
Qiqi Xia, Xiaofeng Wang, Kai Li +16
With the development of wide-field surveys, a large amount of data on short-period W UMa contact binaries have been obtained. Continuous and uninterrupted light curves as well as h…
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido C. H. E. de Croon
Enabling the capability of assessing risk and making risk-aware decisions is essential to applying reinforcement learning to safety-critical robots like drones. In this paper, we i…
Low-dimensional metal-organic magnets as a route towards the S=2 Haldane phase
Jem Pitcairn, Andrea Iliceto, Laura Cañadillas-Delgado +7
Metal-organic magnets (MOMs), modular magnetic materials where metal atoms are connected by organic linkers, are promising candidates for next-generation quantum technologies. MOMs…
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
Yan Chen, Cheng Liu
Remaining useful life (RUL) prediction is crucial for maintaining modern industrial systems, where equipment reliability and operational safety are paramount. Traditional methods,…
Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang +4
Quantum optimization is the most mature quantum computing technology to date, providing a promising approach towards efficiently solving complex combinatorial problems. Methods suc…
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang, Ying Wang, Cheng Liu +3
Graph neural networks (GNNs) emerge as a powerful approach to process non-euclidean data structures and have been proved powerful in various application domains such as social netw…
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System
Hao Lv, Bing Li, Lei Zhang +2
The RRAM-based neuromorphic computing system has amassed explosive interests for its superior data processing capability and energy efficiency than traditional architectures, and t…
Anisotropy as a Probe of the Galactic Cosmic Ray Propagation and the Galactic Halo Magnetic Field
Xiao-bo Qu, Yi Zhang, Liang Xue +2
The anisotropy of cosmic rays (CRs) in the solar vicinity is generally at- tributed to the CR streaming due to the discrete distribution of CR sources or local magnetic field modul…
IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA
Zesong Jiang, Qing Zhang, Cheng Liu +3
Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community. However, the growing complexity of these tools, ch…
A spectroscopic study of blue supergiant stars in Local Group spiral galaxies: Andromeda and Triangulum
Cheng Liu, Rolf-Peter Kudritzki, Gang Zhao +4
Low-resolution LAMOST and Keck spectra of blue supergiant stars distributed over the disks of the Local Group spiral galaxies M 31 and M 33 are analyzed to determine stellar effect…
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs
Erjing Luo, Haitong Huang, Cheng Liu +5
Mixed-precision neural networks (MPNNs) that enable the use of just enough data width for a deep learning task promise significant advantages of both inference accuracy and computi…
Hoi2Threat: An Interpretable Threat Detection Method for Human Violence Scenarios Guided by Human-Object Interaction
Yuhan Wang, Cheng Liu, Daou Zhang +6
In light of the mounting imperative for public security, the necessity for automated threat detection in high-risk scenarios is becoming increasingly pressing. However, existing me…
Motion-Coupled Mapping Algorithm for Hybrid Rice Canopy
Huaiqu Feng, Guoyang Zhao, Cheng Liu +2
This paper presents a motion-coupled mapping algorithm for contour mapping of hybrid rice canopies, specifically designed for Agricultural Unmanned Ground Vehicles (Agri-UGV) navig…
Controlling the superradiant phase transition in the quantum Rabi model
Xuan Xie, Cheng Liu, Lin-Lin Jiang +1
In the ultrastrong-coupling regime, the quantum Rabi model can exhibit quantum phase transition (QPT) when the ratio of the qubit transition frequency to the frequency of the cavit…
High-resolution power equipment recognition based on improved self-attention
Siyi Zhang, Cheng Liu, Xiang Li +4
The current trend of automating inspections at substations has sparked a surge in interest in the field of transformer image recognition. However, due to restrictions in the number…
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering
Liang Peng, Yixuan Ye, Cheng Liu +4
Recently, neighbor-based contrastive learning has been introduced to effectively exploit neighborhood information for clustering. However, these methods rely on the homophily assum…
MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing
Haitong Huang, Cheng Liu, Bo Liu +3
To ensure resilient neural network processing on even unreliable hardware, comprehensive reliability analysis against various hardware faults is generally required before the deep…
Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes
GRAND Collaboration, Jaime Ãlvarez-Muniz, Rafael Alves Batista +118
The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of Ultra-High-Energy (UHE) particles of cosmic origin. Its main goal is to find the l…
Low-temperature magnetic behaviour on the triangular lattice in hexagonal BaTb(BO)
Nicola Kelly, Manh Duc Le, Denis Sheptyakov +5
The hexagonal polymorph of BaTb(BO) contains Tb ions on a quasi-2D triangular lattice, resulting in geometric magnetic frustration. Powder samples of BaTb(BO…
Comparative structural evolution under pressure of powder and single crystals of the layered antiferromagnet FePS
David M. Jarvis, Matthew J. Coak, Hayrullo Hamidov +9
The layered antiferromagnet FePS has been shown to undergo a structural transition under pressure linked to an insulator-metal transition, with two incompatible models previous…
Fault-Tolerant Deep Learning: A Hierarchical Perspective
Cheng Liu, Zhen Gao, Siting Liu +3
With the rapid advancements of deep learning in the past decade, it can be foreseen that deep learning will be continuously deployed in more and more safety-critical applications s…
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
Xingyu Li, Xiaolei Liu, Cheng Liu +4
As large language models (LLMs) scale, their inference incurs substantial computational resources, exposing them to energy-latency attacks, where crafted prompts induce high energy…
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
Cheng Liu, Yifei Lu, Fanghua Ye +5
Role-Playing Language Agents (RPLAs) have emerged as a significant application direction for Large Language Models (LLMs). Existing approaches typically rely on prompt engineering…
Simultaneous ground-state cooling of two levitated nanoparticles by coherent scattering
Yi Xu, Yu-Hong Liu, Cheng Liu +1
Simultaneous ground-state cooling of two levitated nanoparticles is a crucial prerequisite for investigation of macroscopic quantum effects such as quantum entanglement and quantum…
VeriPilot: An LLM-Powered Verilog Debugging Framework
Yihan Wang, Cheng Liu, Jiazheng Zhang +4
Verilog debugging remains one of the most time-consuming stages in digital circuit design. Recent advances in Large Language Models (LLMs) have enabled automated debugging; however…
AudioEval: Automatic Dual-Perspective and Multi-Dimensional Evaluation of Text-to-Audio-Generation
Hui Wang, Jinghua Zhao, Junyang Cheng +5
Text-to-audio (TTA) generation is advancing rapidly, but evaluation remains challenging because human listening studies are expensive and existing automatic metrics capture only li…
SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
Xiaomin Lin, Cheng Liu, Allen Pattillo +2
Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile applicability. With UAVs' growth in availability and applications, they are now of vital importance in servin…
Enhanced Blandford Znajek Jet in Loop Quantum Black Hole
Hong-Xuan Jiang, Indu K. Dihingia, Cheng Liu +2
The Blandford-Znajek (BZ) process powers energetic jets by extracting the rotating energy of a Kerr black hole. It is important to understand this process in non-Kerr black hole sp…
Relativistic Thermal Emission from Accretion Disks in Kerr-MOG Spacetimes
Cheng Liu, Xu-fan Hu, Yosuke Mizuno +1
In Scalar-Tensor-Vector Gravity (STVG, also known as MOG), a massive vector field generates a repulsive fifth force that endows rotating black holes with a gravitational ch…
Structure and magnetism of a new hexagonal polymorph of BaTb(BO) with a quasi-2D triangular lattice
Nicola Kelly, Cheng Liu, Siân Dutton
This article reports the structural and magnetic characterisation of a new hexagonal () low-temperature phase of BaTb(BO), isostructural with the heavier lantha…
SquidLab -- a user-friendly program for background subtraction and fitting of magnetization data
Matthew J. Coak, Cheng Liu, David M. Jarvis +3
We present an open-source program free to download for academic use with full user-friendly graphical interface for performing flexible and robust background subtraction and dipole…
Emergent Polar Metal Phase in a Van der Waals Mott Magnet
Shiyu Deng, Matthew J. Coak, Charles R. S. Haines +16
We report the emergence of a two-dimensional (2D) polar metal phase in van der Waals compound FePSe under moderate pressures. This layered material is a Mott insulator with ant…
The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC 2025)
Jaime Ãlvarez-Muñiz, Rafael Alves Batista, Aurélien Benoit-Lévy +133
The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses la…
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction
Yan Chen, Cheng Liu
Accurate prediction of Remaining Useful Life (RUL) for complex industrial machinery is critical for the reliability and maintenance of mechatronic systems, but it is challenged by…
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance
Xinghua Xue, Cheng Liu, Bo Liu +6
Winograd is generally utilized to optimize convolution performance and computational efficiency because of the reduced multiplication operations, but the reliability issues brought…
Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small
Zhehui Wang, Tao Luo, Cheng Liu +3
Large language models (LLMs) have garnered substantial attention due to their promising applications in diverse domains. Nevertheless, the increasing size of LLMs comes with a sign…
A Giant Peanut-shaped Ultra-High-Energy Gamma-Ray Emitter Off the Galactic Plane
Zhen Cao, Felix Aharonian, Yunxiang Bai +312
Ultra-high-energy (UHE), exceeding 100 TeV (10^12 electronvolts), γ-rays manifests extreme particle acceleration in astrophysical sources. Recent observations by γ-ray telescopes…
HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning
Cheng Liu, Cheng Chu, Dawen Xu +5
Hardware faults on the regular 2-D computing array of a typical deep learning accelerator (DLA) can lead to dramatic prediction accuracy loss. Prior redundancy design approaches ty…
Taming Process Variations in CNFET for Efficient Last Level Cache Design
Dawen Xu, Zhuangyu Feng, Cheng Liu +5
Carbon nanotube field-effect transistors (CNFET) emerge as a promising alternative to CMOS transistors for the much higher speed and energy efficiency, which makes the technology p…
ApproxPilot: A GNN-based Accelerator Approximation Framework
Qing Zhang, Cheng Liu, Siting Liu +3
A typical optimization of customized accelerators for error-tolerant applications such as multimedia, recognition, and classification is to replace traditional arithmetic units lik…
SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering
Liang Peng, Yixuan Ye, Cheng Liu +5
Multi-view clustering has been empirically shown to improve learning performance by leveraging the inherent complementary information across multiple views of data. However, in rea…
MusicEval: A Generative Music Dataset with Expert Ratings for Automatic Text-to-Music Evaluation
Cheng Liu, Hui Wang, Jinghua Zhao +6
The technology for generating music from textual descriptions has seen rapid advancements. However, evaluating text-to-music (TTM) systems remains a significant challenge, primaril…
Effects of point defects on oxidation of 3C-SiC
Jianqi Xi, Cheng Liu, Izabela Szlufarska
The influence of implantation-induced point defects (PDs) on SiC oxidation is investigated via molecular dynamics simulations. PDs generally increase the oxidation rate of crystall…
Probing the Fermi surface with Quantum Oscillation Measurements in the Dirac semimetal TaNiTe
Maximilian Daschner, Bruno Gudac, Mario Novak +3
We report a detailed investigation of the Fermi surface in the layered Dirac semimetal TaNiTe. We probed the magnetization, magnetic torque and magnetoresistance in high-qualit…
ASC-SW: A Lightweight Atrous Strip Convolution Network for DLOs Segmentation on Edge mobile Robots
Cheng Liu, Fan Zhu, Yifeng Xu +2
Detecting deformable linear objects (DLOs), such as floor cables, is essential for safe mobile robot navigation but remains challenging due to oblique viewpoints, thin structures,…
GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)
GRAND Collaboration, Rafael Alves Batista, Aurélien Benoit-Lévy +112
The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses signif…
Dark-Mode Theorems for Quantum Networks
Jian Huang, Cheng Liu, Xun-Wei Xu +1
We propose and prove two theorems for determining the number of dark modes in linear two-component quantum networks composed of two types of bosonic modes. This is achieved by diag…
Thin Accretion Disk onto slowly rotating black holes in Einstein-Ãther theory
Cheng Liu, Sen Yang, Qiang Wu +1
The accretion disk is formed by particles moving in closed orbits around a compact object, whose physical properties and the electromagnetic radiation characteristics are determine…
Displacement calibration of optical tweezers with absolute gravitational acceleration
Jianyu Yang, Nan Li, Xunmin Zhu +5
In recent years, levitated particles of optical traps in vacuum have shown enormous potential in precision sensor development and searching for new physics. The accuracy of the cal…
Ordering-Based Causal Discovery for Linear and Nonlinear Relations
Zhuopeng Xu, Yujie Li, Cheng Liu +1
Identifying causal relations from purely observational data typically requires additional assumptions on relations and/or noise. Most current methods restrict their analysis to dat…
Optically Levitated Nanoparticles as Receiving Antennas for Low Frequency Wireless Communication
Zhenhai Fu, Jinsheng Xu, Shaochong Zhu +13
Low-frequency (LF) wireless communications play a crucial role in ensuring anti-interference, long-range, and efficient communication across various environments. However, in conve…
Receiver-device-independent quantum secure direct communication
Cheng Liu, Cheng Zhang, Shi-Pu Gu +3
Quantum secure direct communication (QSDC) enables the message sender to directly send secure messages to the receiver through the quantum channel without keys. Device-independent…
Statistical Modeling of Soft Error Influence on Neural Networks
Haitong Huang, Xinghua Xue, Cheng Liu +5
Soft errors in large VLSI circuits pose dramatic influence on computing- and memory-intensive neural network (NN) processing. Understanding the influence of soft errors on NNs is c…
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
Shuyin Xia, Xinjun Ma, Zhiyuan Liu +3
Graph Neural Networks (GNNs) have demonstrated significant achievements in processing graph data, yet scalability remains a substantial challenge. To address this, numerous graph c…
On the Galactic Center Being the Main Source of Galactic Cosmic Rays as Evidenced by Recent Cosmic Ray and Gamma Ray Observations
Yiqing Guo, Zhaoyang Feng, Qiang Yuan +2
We revisit the idea that the Galactic center (GC) is the dominant source of Galactic cosmic rays (GCRs), based on a series of new observational evidence. A unified model is propose…
Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification
Liang Peng, Haopeng Liu, Yixuan Ye +4
Unsupervised cell type identification is crucial for uncovering and characterizing heterogeneous populations in single cell omics studies. Although a range of clustering methods ha…
Visualizing Nanodomain Superlattices in Halide Perovskites Giving Picosecond Quantum Transients
Dengyang Guo, Thomas A. Selby, Simon Kahmann +21
The high optoelectronic quality of halide perovskites lends them to be utilized in optoelectronic devices and recently in emerging quantum emission applications. Advancements in pe…
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion
Yuanjie Gu, Zhibo Xiao, Yinghan Guan +4
Convolutional neural networks have turned into an illustrious tool for image fusion and super-resolution. However, their excellent performance cannot work without large fixed-paire…
Decision Support under Prediction-Induced Censoring
Yan Chen, Ruyi Huang, Cheng Liu
In many data-driven online decision systems, actions determine not only operational costs but also the data availability for future learning -- a phenomenon termed Prediction-Induc…
Quantum phase transition of the Jaynes-Cummings model
Cheng Liu, Jin-Feng Huang
Herein, we propose an experimentally feasible scheme to show the quantum phase transition of the Jaynes-Cummings (JC) model by modulating the transition frequency of a two-level sy…
Quantum excitation transfer in bosonic networks: a bipartite-graph framework
Cheng Liu, Yu-Hong Liu, Le-Man Kuang +2
Highly efficient transfer of quantum resources including quantum excitations, states, and information on quantum networks is an important task in quantum information science. Here,…
The first low-mass eclipsing binary within the fully convective zone from TMTS
Cheng Liu, Xiaofeng Wang, Xiaobing Zhang +17
We present a comprehensive photometric and spectroscopic analysis of the short-period (5.32 hours) and low-mass eclipsing binary TMTSJ0803 discovered by Tsinghua-Ma Huateng T…
TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models
Hui Wang, Cheng Liu, Junyang Chen +7
Text-to-Audio (TTA) generation has made rapid progress, but current evaluation methods remain narrow, focusing mainly on perceptual quality while overlooking robustness, generaliza…
Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance
Yan Chen, Cheng Liu
Existing predictive maintenance (PdM) methods typically focus solely on whether to replace system components without considering the costs incurred by inspection. However, a well-c…
Comparative study of magnetocaloric properties for Gd compounds with different frustrated lattice geometries
EliseAnne C. Koskelo, Paromita Mukherjee, Cheng Liu +5
As materials with suppressed ordering temperatures and enhanced ground state entropies, frustrated magnetic oxides are ideal candidates for cryogenic magnetocaloric refrigeration.…
On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone
Jin-Yuan Wang, Yu Qiu, Sheng-Hong Lin +3
This paper investigates the physical-layer security for a random indoor visible light communication (VLC) network with imperfect channel state information (CSI) and a protected zon…
Accelerating Generative Neural Networks on Unmodified Deep Learning Processors -- A Software Approach
Dawen Xu, Ying Wang, Kaijie Tu +3
Generative neural network is a new category of neural networks and it has been widely utilized in applications such as content generation, unsupervised learning, segmentation and p…
Harvesting AI Computation at the Edge via Generic Approximation
Yihan Wang, Huiru Yan, Luxin Zhang +6
With the widespread adoption of AI in various IoT scenarios such as smart sensing and processing, AI chips have become a common component at the edge. These chips are typically spe…
Dynamics and Radiative Signatures of Accretion Flows onto a Kerr-like Wormhole
Jing-ze Xia, Hong-xuan Jiang, Cheng Liu +1
Wormholes are a hypothetical object that connects disparate points in spacetime. It is a theoretically well-motivated black hole alternative and offers a potential observationally…
Attenuation study for Tibet Water Cherenkov Muon Detector Array-A
Quanbu Gou, Yiqing Guo, Cheng Liu +2
This work aims at online calibrating the signal attenuation of the long cable used in Tibet Water Cherenkov Muon detector array-A (Tibet MD-A) under the 37 000 m2 Tibet air shower…
Adaptive Soft Error Protection for Neural Network Processing
Xinghua Xue, Cheng Liu, Feng Min +1
Previous research on selective protection for neural network components typically exploits only static vulnerability differences. Although these methods improve upon classical modu…
Structure evolution path of ferroelectric hafnium zirconium oxide nanocrystals under in-situ biasing
Yunzhe Zheng, Heng Yu, Tianjiao Xin +8
Fluorite-type -based ferroelectric (FE) oxides have rekindled interest in FE memories due to their compatibility with silicon processing and potential for high-dens…
The Large High Altitude Air Shower Observatory (LHAASO) Science Book (2021 Edition)
Zhen Cao, D. della Volpe, Siming Liu +87
Since the science white paper of the Large High Altitude Air Shower Observatory (LHAASO) published on arXiv in 2019 [e-Print: 1905.02773 (astro-ph.HE)], LHAASO has completed the tr…
High performance solar cells based on graphene-GaAs heterostructures
Xiaoqiang Li, Shengjiao Zhang, Peng Wang +5
The honeycomb connection of carbon atoms by covalent bonds in a macroscopic two-dimensional scale leads to fascinating graphene and solar cell based on graphene/silicon Schottky di…
Constraints on the rotating self-dual black hole with quasi-periodic oscillations
Cheng Liu, Haiguang Xu, Hoongwah Siew +3
An impressive feature of loop quantum gravity (LQG) is that it can elegantly resolve both the big bang and black hole singularities. By using the Newman-Janis algorithm, a regular…
On the Vulnerability of FHE Computation to Silent Data Corruption
Jianan Mu, Ge Yu, Zhaoxuan Kan +6
Fully Homomorphic Encryption (FHE) is rapidly emerging as a promising foundation for privacy-preserving cloud services, enabling computation directly on encrypted data. As FHE impl…
ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing
Xinghua Xue, Cheng Liu, Feng Min +2
With the increasing deployment of deep neural networks (DNNs) in terrestrial and aerospace safety-critical applications, system reliability has emerged as a co-equal design metric…
Magnetoelastic coupling in the stretched diamond lattice of TbTaO
Xiaotian Zhang, Nicola Kelly, Denis Sheptyakov +4
The magnetic structure of diamond-like lattice has been studied extensively in terms of the magnetic frustration. Here we report the distortion of stretched diamond lattice of Tb$^…
Winograd Convolution: A Perspective from Fault Tolerance
Xinghua Xue, Haitong Huang, Cheng Liu +3
Winograd convolution is originally proposed to reduce the computing overhead by converting multiplication in neural network (NN) with addition via linear transformation. Other than…
Site-selective / substitution in a spin ladder BaCuTeWO ()
Charlotte E. Pughe, Otto H. J. Mustonen, Alexandra S. Gibbs +9
Remarkably, doping isovalent and cations onto the '' site in '''O double perovskites has the power to direct the magnetic interactions between magnet…
ChatSim: Underwater Simulation with Natural Language Prompting
Aadi Palnitkar, Rashmi Kapu, Xiaomin Lin +3
Robots are becoming an essential part of many operations including marine exploration or environmental monitoring. However, the underwater environment presents many challenges, inc…
Deciphering water-solid reactions during hydrothermal corrosion of SiC
Jianqi Xi, Cheng Liu, Dane Morgan +1
Water solid interfacial reactions are critical to understanding corrosion. More specifically, it is notoriously difficult to determine how water and solid interact beyond the initi…
Data Synchronization at High Frequencies
Xinbing Kong, Cheng Liu, Bin Wu
Asynchronous trading in high-frequency financial markets introduces significant biases into econometric analysis, distorting risk estimates and leading to suboptimal portfolio deci…
MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs
Junfeng Gong, Cheng Liu, Long Cheng +2
Mixed-precision neural network (MPNN) that utilizes just enough data width for the neural network processing is an effective approach to meet the stringent resources constraints in…
Physical-layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis
Jin-Yuan Wang, Cheng Liu, Jun-Bo Wang +3
This paper investigates the physical-layer security for an indoor visible light communication (VLC) network consisting of a transmitter, a legitimate receiver and an eavesdropper.…
A Highly Magnetic Ultra Massive White Dwarf with a 23-minute Rotation Period
Jincheng Guo, Xiaofeng Wang, Qichun Liu +17
We present a physical characterization of TMTS J00063798+3104160 (J0006), a rapidly rotating,ultra-massive white dwarf (WD) identified in high-cadence light curves from the Tsinghu…
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving
Haitong Huang, Cheng Liu
The reliability of deep learning accelerators (DLAs) used in autonomous driving systems has significant impact on the system safety. However, the DLA reliability is usually evaluat…
Multimode optomechanical cooling via general dark-mode control
Jian Huang, Deng-Gao Lai, Cheng Liu +3
The dark-mode effect is a stubborn obstacle for ground-state cooling of multiple degenerate mechanical modes optomechanically coupled to a common cavity-field mode. Here we propose…
Uncertainty Mitigation and Intent Inference: A Dual-Mode Human-Machine Joint Planning System
Zeyu Fang, Yuxin Lin, Cheng Liu +6
Effective human-robot collaboration in open-world environments requires joint planning under uncertain conditions. However, existing approaches often treat humans as passive superv…
Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition
Cheng Liu, Xuyang Yan, Zekun Zhang +5
Action recognition has witnessed the development of a growing number of novel algorithms and datasets in the past decade. However, the majority of public benchmarks were constructe…
Properties and Asteroseismological analysis of a new ZZ ceti discovered by TMTS
Jincheng Guo, Yanhui Chen, Xiaofeng Wang +24
Tsinghua university-Ma Huateng Telescope for Survey (TMTS) aims to discover rapidly evolving transients by monitoring the northern sky. The TMTS catalog is cross-matched with the w…
Cross-Layer Optimization for Fault-Tolerant Deep Learning
Qing Zhang, Cheng Liu, Bo Liu +4
Fault-tolerant deep learning accelerator is the basis for highly reliable deep learning processing and critical to deploy deep learning in safety-critical applications such as avio…
A catalogue of 323 cataclysmic variables from LAMOST DR6
Yongkang Sun, Zhenghao Cheng, Shuo Ye +17
In this work, we present a catalog of cataclysmic variables (CVs) identified from the Sixth Data Release (DR6) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAM…
Newly discovered Luminous blue variable candidates in M31 & M33
Sai Li, Cheng Liu, Jincheng Guo
This study presents an investigation of nearly two dozen candidate Luminous Blue Variables (cLBVs) in the galaxies M31 and M33. Eight stars have been studied in detail, while an ad…