Publications (534)
A quantum hydrodynamical description for scrambling and many-body chaos
Mike Blake, Hyunseok Lee, Hong Liu
Recent studies of out-of-time ordered thermal correlation functions (OTOC) in holographic systems and in solvable models such as the Sachdev-Ye-Kitaev (SYK) model have yielded new…
Semi-local quantum liquids
Nabil Iqbal, Hong Liu, Mark Mezei
Gauge/gravity duality applied to strongly interacting systems at finite density predicts a universal intermediate energy phase to which we refer as a semi-local quantum liquid. Suc…
Universal Perturbation Attack Against Image Retrieval
Jie Li, Rongrong Ji, Hong Liu +3
Universal adversarial perturbations (UAPs), a.k.a. input-agnostic perturbations, has been proved to exist and be able to fool cutting-edge deep learning models on most of the data…
From Fake Supergravity to Superstars
Henriette Elvang, Daniel Z. Freedman, Hong Liu
The fake supergravity method is applied to 5-dimensional asymptotically AdS spacetimes containing gravity coupled to a real scalar and an abelian gauge field. The motivation is to…
Coulomb drag in topological insulator films
Hong Liu, Weizhe Edward Liu, Dimitrie Culcer
We study Coulomb drag between the top and bottom surfaces of topological insulator films. We derive a kinetic equation for the thin-film spin density matrix containing the full spi…
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms
Xuxin Chen, Ke Zhang, Neman Abdoli +5
Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operation, CNNs generally ca…
Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models
Hualei Wang, Yiming Li, Shuo Ma +2
Recent Large Audio-Language Models (LALMs) exhibit impressive capabilities in understanding audio content for conversational QA tasks. However, these models struggle to accurately…
Phase diagram of the interacting persistent spin-helix state
Hong Liu, Weizhe Edward Liu, Stefano Chesi +2
We study the phase diagram of the interacting two-dimensional electron gas (2DEG) with equal Rashba and Dresselhaus spin-orbit coupling, which for weak coupling gives rise to the w…
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection
Haichao Cao, Hong Liu, Enmin Song +5
Early detection of lung cancer is an effective way to improve the survival rate of patients. It is a critical step to have accurate detection of lung nodules in computed tomography…
Family Replication in the Dual Standard Model
Hong Liu, Glenn D. Starkman, Tanmay Vachaspati
The family replication problem is addressed in the context of the dual standard model. The breaking of a simple grand unified group to $[G_{low} \times H_1 \times H_2 \times H_3]/Z…
Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor Search
Hong Liu
Unsupervised hashing has received extensive research focus on the past decade, which typically aims at preserving a predefined metric (i.e. Euclidean metric) in the Hamming space.…
Angular Momentum Generation by Parity Violation
Hong Liu, Hirosi Ooguri, Bogdan Stoica
We generalize our holographic derivation of spontaneous angular momentum generation in 2 + 1 dimensions in several directions. We consider cases when a parity violating perturbatio…
Meta-learning Transferable Representations with a Single Target Domain
Hong Liu, Jeff Z. HaoChen, Colin Wei +1
Recent works found that fine-tuning and joint training---two popular approaches for transfer learning---do not always improve accuracy on downstream tasks. First, we aim to underst…
HOT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers
Wenhao Li, Mengyuan Liu, Hong Liu +3
Transformers have been successfully applied in the field of video-based 3D human pose estimation. However, the high computational costs of these video pose transformers (VPTs) make…
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
Hong Liu, Saisai Gong, Yixin Ji +3
With the rapid advancement of pre-trained large language models (LLMs), recent endeavors have leveraged the capabilities of LLMs in relevance modeling, resulting in enhanced perfor…
Scaling behavior of density gradient accelerated mixing rate in shock bubble interaction
Bin Yu, Haoyang Liu, Hong Liu
Variable-density mixing in shock bubble interaction, a canonical flow of Richtermyer-Meshkov instability, is studied by the high-resolution simulation. While the dissipation mainly…
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking
Songhao Wu, Quan Tu, Mingjie Zhong +4
In the realm of information retrieval, users often engage in multi-turn interactions with search engines to acquire information, leading to the formation of sequences of user feedb…
TF1 Snowmass Report: Quantum gravity, string theory, and black holes
Daniel Harlow, Shamit Kachru, Juan Maldacena +35
We give an overview of the field of quantum gravity, string theory and black holes summarizing various white papers in this subject that were submitted as part of the Snowmass proc…
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning
Zelong Zeng, Fan Yang, Hong Liu +1
Recent deep metric learning (DML) methods typically leverage solely class labels to keep positive samples far away from negative ones. However, this type of method normally ignores…
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
Yingxuan You, Hong Liu, Ti Wang +3
Despite significant progress in single image-based 3D human mesh recovery, accurately and smoothly recovering 3D human motion from a video remains challenging. Existing video-based…
Phase-change perovskite tunable microlaser
Jingyi Tian, Giorgio Adamo, Hailong Liu +8
Since the invention of the laser, adoption of new gain media and device architectures has provided solutions to a variety of applications requiring specific power, size, spectral,…
Clarification on Generalized Lau condition for X-ray interferometers based on dual phase gratings
Aimin Yan, Xizeng Wu, Hong Liu
To implement dual phase grating x-ray interferometry with x-ray tubes, one needs to incorporate an absorbing source grating. In order to attain good fringe visibility, the period o…
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
Jinghan Sun, Dong Wei, Zhe Xu +4
Chest X-ray (CXR) anatomical abnormality detection aims at localizing and characterising cardiopulmonary radiological findings in the radiographs, which can expedite clinical workf…
Real-time response in AdS/CFT with application to spinors
Nabil Iqbal, Hong Liu
We discuss a simple derivation of the real-time AdS/CFT prescription as an analytic continuation of the corresponding problem in Euclidean signature. We then extend the formalism t…
The exact minimum number of triangles in graphs of given order and size
Hong Liu, Oleg Pikhurko, Katherine Staden
What is the minimum number of triangles in a graph of given order and size? Motivated by earlier results of Mantel and Turán, Rademacher solved the first non-trivial case of this…
Quantum phase transitions in holographic models of magnetism and superconductors
Nabil Iqbal, Hong Liu, Márk Mezei +1
We study a holographic model realizing an "antiferromagnetic" phase in which a global SU(2) symmetry representing spin is broken down to a U(1) by the presence of a finite electric…
Impact of heterogenous prior beliefs and disclosed insider trades
Fuzhou Gong, Hong Liu
In this paper, we present a multi-period trading model by assuming that traders face not only asymmetric information but also heterogenous prior beliefs, under the requirement that…
Recognizing Actions from Robotic View for Natural Human-Robot Interaction
Ziyi Wang, Peiming Li, Hong Liu +5
Natural Human-Robot Interaction (N-HRI) requires robots to recognize human actions at varying distances and states, regardless of whether the robot itself is in motion or stationar…
Strings in a Time-Dependent Orbifold
Hong Liu, Gregory Moore, Nathan Seiberg
We consider string theory in a time dependent orbifold with a null singularity. The singularity separates a contracting universe from an expanding universe, thus constituting a big…
Eigenstate Thermalization Hypothesis in Conformal Field Theory
Nima Lashkari, Anatoly Dymarsky, Hong Liu
We investigate the eigenstate thermalization hypothesis (ETH) in d+1 dimensional conformal field theories by studying reduced density matrices in energy eigenstates. We show that i…
Supervised Matrix Factorization for Cross-Modality Hashing
Hong Liu, Rongrong Ji, Yongjian Wu +1
Matrix factorization has been recently utilized for the task of multi-modal hashing for cross-modality visual search, where basis functions are learned to map data from different m…
Supervised Online Hashing via Hadamard Codebook Learning
Mingbao Lin, Rongrong Ji, Hong Liu +1
In recent years, binary code learning, a.k.a hashing, has received extensive attention in large-scale multimedia retrieval. It aims to encode high-dimensional data points to binary…
Ramond-Ramond Couplings of Noncommutative D-branes
Hong Liu, Jeremy Michelson
We propose the leading couplings, in an alpha' expansion, of noncommutative D-branes to RR potentials in a constant NSNS B-field for an arbitrary choice of noncommutative parameter…
Screening, Friedel oscillations and low-temperature conductivity in topological insulator thin films
Weizhe Edward Liu, Hong Liu, Dimitrie Culcer
In thin topological insulator films, the top and bottom surfaces are coupled by tunneling, which restores backscattering and strongly affects screening. We calculate the dielectric…
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
Jiajie Liu, Mengyuan Liu, Hong Liu +1
Recent multi-frame lifting methods have dominated the 3D human pose estimation. However, previous methods ignore the intricate dependence within the 2D pose sequence and learn sing…
Sample phase gradient and fringe phase shift in dual phase grating X-ray interferometry
Aimin Yan, Xizeng Wu, Hong Liu
One of the key tasks in grating based x-ray phase contrast imaging is to accurately retrieve local phase gradients of a sample from measured intensity fringe shifts. To fulfill thi…
Crux and long cycles in graphs
John Haslegrave, Jie Hu, Jaehoon Kim +3
We introduce a notion of the \emph{crux} of a graph , measuring the order of a smallest dense subgraph in . This simple-looking notion leads to some generalisations of known…
TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM
Peifeng Jiang, Hong Liu, Xia Li +3
The limited robustness of 3D Gaussian Splatting (3DGS) to motion blur and camera noise, along with its poor real-time performance, restricts its application in robotic SLAM tasks.…
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Zhan Chen, Sicheng Li, Bing Yang +2
Graph convolutional networks have been widely used for skeleton-based action recognition due to their excellent modeling ability of non-Euclidean data. As the graph convolution is…
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
Mengyuan Liu, Hong Liu, Chen Chen
3D action recognition has broad applications in human-computer interaction and intelligent surveillance. However, recognizing similar actions remains challenging since previous lit…
3D Skeleton-Based Action Recognition: A Review
Mengyuan Liu, Hong Liu, Qianshuo Hu +4
With the inherent advantages of skeleton representation, 3D skeleton-based action recognition has become a prominent topic in the field of computer vision. However, previous review…
SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization
Bing Yang, Hong Liu, Xiaofei Li
Multiple moving sound source localization in real-world scenarios remains a challenging issue due to interaction between sources, time-varying trajectories, distorted spatial cues,…
Stability and exact Turan numbers for matroids
Hong Liu, Sammy Luo, Peter Nelson +1
We consider the Turán-type problem of bounding the size of a set that does not contain a linear copy of a given fixed set …
Synthetic bootstrapped pretraining
Zitong Yang, Aonan Zhang, Hong Liu +4
We introduce Synthetic Bootstrapped Pretraining (SBP), a language model (LM) pretraining procedure that first learns a model of relations between documents from the pretraining dat…
Topological Catenation-induced Pore Size in 2D Olympic Network
Wenbo Zhao, Guojie Zhang, Hong Liu
Assemblies of ring DNA and proteins, such as kinetoplast DNA (kDNA) and the chainmail-like network of the HK97 bacteriophage capsid, form "Olympic" topologies that govern the dynam…
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification
Hanrong Ye, Hong Liu, Fanyang Meng +1
RGB-Infrared person re-identification (RGB-IR Re- ID) is a cross-modality matching problem, where the modality discrepancy is a big challenge. Most existing works use Euclidean met…
Effective field theories of dissipative fluids with one-form symmetries
Shreya Vardhan, Sašo Grozdanov, Samuel Leutheusser +1
A system with a one-form global symmetry at finite temperature can be viewed as a dissipative fluid of string-like objects. In this work, we classify and construct the most general…
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking
Yidi Li, Hong Liu, Hao Tang
Multi-modal fusion is proven to be an effective method to improve the accuracy and robustness of speaker tracking, especially in complex scenarios. However, how to combine the hete…
Stirring Strongly Coupled Plasma
Kazem Bitaghsir Fadafan, Hong Liu, Krishna Rajagopal +1
We determine the energy it takes to move a test quark along a circle of radius L with angular frequency w through the strongly coupled plasma of N=4 supersymmetric Yang-Mills (SYM)…
Entanglement growth during thermalization in holographic systems
Hong Liu, S. Josephine Suh
We derive in detail several universal features in the time evolution of entanglement entropy and other nonlocal observables in quenched holographic systems. The quenches are such t…
Global-Local Distillation Network-Based Audio-Visual Speaker Tracking with Incomplete Modalities
Yidi Li, Yihan Li, Yixin Guo +5
In speaker tracking research, integrating and complementing multi-modal data is a crucial strategy for improving the accuracy and robustness of tracking systems. However, tracking…
Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systems
Hong Liu, Yucheng Cai, Zhenru Lin +3
Recently, two approaches, fine-tuning large pre-trained language models and variational training, have attracted significant interests, separately, for semi-supervised end-to-end t…
Applying a random projection algorithm to optimize machine learning model for breast lesion classification
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei +4
Machine learning is widely used in developing computer-aided diagnosis (CAD) schemes of medical images. However, CAD usually computes large number of image features from the target…
A Dual-Stage Time-Context Network for Speech-Based Alzheimer's Disease Detection
Yifan Gao, Long Guo, Hong Liu
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that leads to irreversible cognitive decline in memory and communication. Early detection of AD through speech…
Spread of entanglement and causality
Horacio Casini, Hong Liu, Márk Mezei
We investigate causality constraints on the time evolution of entanglement entropy after a global quench in relativistic theories. We first provide a general proof that the so-call…
Latent Feature Relation Consistency for Adversarial Robustness
Xingbin Liu, Huafeng Kuang, Hong Liu +3
Deep neural networks have been applied in many computer vision tasks and achieved state-of-the-art performance. However, misclassification will occur when DNN predicts adversarial…
Chromatic thresholds for linear equations and recurrence
Hong Liu, Zhuo Wu, Ningyuan Yang +1
Motivated by classical problems in extremal graph theory, we study a chromatic analogue of Roth-type questions for linear equations over . Given a homogeneous equation…
Proof of Komlós's conjecture on Hamiltonian subsets
Jaehoon Kim, Hong Liu, Maryam Sharifzadeh +1
Komlós conjectured in 1981 that among all graphs with minimum degree at least , the complete graph minimises the number of Hamiltonian subsets, where a subset of vert…
Supergravity Couplings of Noncommutative D-branes
Hong Liu, Jeremy Michelson
We discuss the supergravity couplings of noncommutative D-branes by considering the disk amplitudes with one closed string insertion. The result confirms a recent proposal for the…
Fine structure of Hagedorn transitions
Hong Liu
We study non-perturbative aspects of the Hagedorn transition for IIB string theory in an anti-de Sitter spacetime in the limit that the string length goes to infinity. The theory h…
Spontaneous Generation of Angular Momentum in Holographic Theories
Hong Liu, Hirosi Ooguri, Bogdan Stoica +1
The Schwarzschild black two-brane in four-dimensional anti-de Sitter space is dual to a finite temperature state in three-dimensional conformal field theory. We show that the solut…
Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
Zhihong Sun, Jia Li, Yao Wan +7
Code vulnerability detection is crucial for ensuring the security and reliability of modern software systems. Recently, Large Language Models (LLMs) have shown promising capabiliti…
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
Jiahao Zhang, Bowen Wang, Hong Liu +3
Large-scale models trained on extensive datasets have become the standard due to their strong generalizability across diverse tasks. In-context learning (ICL), widely used in natur…
Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification
Can Zhang, Hong Liu, Wei Guo +1
RGB-Infrared person re-identification (RGB-IR Re-ID) aims to match persons from heterogeneous images captured by visible and thermal cameras, which is of great significance in the…
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
Xuxin Chen, Ximin Wang, Ke Zhang +7
This study aims to develop a novel computer-aided diagnosis (CAD) scheme for mammographic breast mass classification using semi-supervised learning. Although supervised deep learni…
Anomalous drag in electron-hole condensates with granulated order
Hong Liu, Allan H. MacDonald, Dmitry K. Efimkin
We explain the strong interlayer drag resistance observed at low temperatures in bilayer electron-hole systems in terms of an interplay between local electron-hole-pair condensatio…
How connectivity affects the extremal number of trees
Suyun Jiang, Hong Liu, Nika Salia
The ErdÅs-Sós conjecture states that the maximum number of edges in an -vertex graph without a given -vertex tree is at most . Despite significant intere…
SimLabel: Similarity-Weighted Iterative Framework for Multi-annotator Learning with Missing Annotations
Liyun Zhang, Zheng Lian, Hong Liu +2
Multi-annotator learning (MAL) aims to model annotator-specific labeling patterns. However, existing methods face a critical challenge: they simply skip updating annotator-specific…
Strong counterexamples to Mubayi's supersaturation conjecture in every uniformity
Heng Li, Hong Liu, Xizhi Liu +1
The supersaturation problem asks, for a fixed -graph , for the minimum number of copies of in an -vertex -graph with $\ex(n,\mathcal F)+q$ edges.…
An effective field theory for non-maximal quantum chaos
Ping Gao, Hong Liu
In non-maximally quantum chaotic systems, the exponential behavior of out-of-time-ordered correlators (OTOCs) results from summing over exchanges of an infinite tower of higher "sp…
Holographic Vortex Liquids and Superfluid Turbulence
Allan Adams, Paul M. Chesler, Hong Liu
Superfluid turbulence, often referred to as quantum turbulence, is a fascinating phenomenon for which a satisfactory theoretical framework is lacking. Holographic duality provides…
Piercing independent sets in graphs without large induced matching
Jiangdong Ai, Hong Liu, Zixiang Xu +1
Given a graph , denote by the smallest size of a subset of which intersects every maximum independent set of . We prove that any graph without induced match…
Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
Xia Li, Hanghang Zheng, Xiwei Zhuang +5
The advent of artificial intelligence has significantly enhanced credit scoring technologies. Despite the remarkable efficacy of advanced deep learning models, mainstream adoption…
Audio-free Prompt Tuning for Language-Audio Models
Yiming Li, Xiangdong Wang, Hong Liu
Contrastive Language-Audio Pretraining (CLAP) is pre-trained to associate audio features with human language, making it a natural zero-shot classifier to recognize unseen sound cat…
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
Hong Liu, Yucheng Cai, Zhijian Ou +2
Building user simulators (USs) for reinforcement learning (RL) of task-oriented dialog systems (DSs) has gained more and more attention, which, however, still faces several fundame…
Perturbed Electroweak Strings and Fermion Zero Modes
Hong Liu, Tanmay Vachaspati
The effect of perturbations of electroweak strings on quark zero modes is studied in 2+1 and 3+1 dimensions. As first discovered by Naculich, it is found that the bosonic perturbat…
Leveraging Language Model Capabilities for Sound Event Detection
Hualei Wang, Jianguo Mao, Zhifang Guo +3
Large language models reveal deep comprehension and fluent generation in the field of multi-modality. Although significant advancements have been achieved in audio multi-modality,…
Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels
Nobukatsu Kajiura, Hong Liu, Shin'ichi Satoh
This paper focuses on camouflaged object detection (COD), which is a task to detect objects hidden in the background. Most of the current COD models aim to highlight the target obj…
Rainbow spanning trees in properly coloured complete graphs
József Balogh, Hong Liu, Richard Montgomery
In this short note, we study pairwise edge-disjoint rainbow spanning trees in properly edge-coloured complete graphs, where a graph is rainbow if its edges have distinct colours. B…
STNet: Deep Audio-Visual Fusion Network for Robust Speaker Tracking
Yidi Li, Hong Liu, Bing Yang
Audio-visual speaker tracking aims to determine the location of human targets in a scene using signals captured by a multi-sensor platform, whose accuracy and robustness can be imp…
On -graphs with vanishing codegree Turán density
Laihao Ding, Ander Lamaison, Hong Liu +2
For a -uniform hypergraph (or simply -graph) , the codegree Turán density is the supremum over all such that there exist arbitrarily large -…
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
Zekang Yang, Hong Liu, Xiangdong Wang
Cancer survival prediction is a challenging task that involves analyzing of the tumor microenvironment within Whole Slide Image (WSI). Previous methods cannot effectively capture t…
On mixing enhancement by secondary baroclinic vorticity in shock-bubble interaction
Hong Liu, Bin Yu, Bin Zhang +1
To investigate the intrinsic mechanism for mixing enhancement by variable density behaviour, a canonical variable density (VD) mixing extracted from a supersonic streamwise vortex…
Dual-branch residual network for lung nodule segmentation
Haichao Cao, Hong Liu, Enmin Song +5
An accurate segmentation of lung nodules in computed tomography (CT) images is critical to lung cancer analysis and diagnosis. However, due to the variety of lung nodules and the s…
D-cut: Adaptive Verification Depth Pruning for Batched Speculative Decoding
Tianyu Liu, Yuhao Shen, Rui Cen +7
The paper introduces D-Cut, an adaptive method that prunes draft tokens across a batch to focus verification on the most promising tokens, improving the speed of speculative decodi…
Continuously Shaping Orbital Angular Momentum with an Analog Optical Vortex Transmitter
Kun Huang, Hong Liu, M. Q. Mehmood +4
Dynamic generation of obitial angular momentum (OAM) of light has enabled complex manipulation of micro-particles, high-dimension quantum entanglement and optical communication. We…
On the number of -saturating edges
József Balogh, Hong Liu
Let be a -free graph, an edge in its complement is a -\emph{saturating} edge if the addition of this edge to creates a copy of . ErdÅs and Tuza conjectured…
Modular Flow of Excited States
Nima Lashkari, Hong Liu, Srivatsan Rajagopal
We develop new techniques for studying the modular and the relative modular flows of general excited states. We show that the class of states obtained by acting on the vacuum (or a…
Groups with few maximal sum-free sets
Hong Liu, Maryam Sharifzadeh
We show that, in contrast to the integers setting, almost all even order abelian groups have exponentially fewer maximal sum-free sets than , where denotes…
*-Trek III: The Search for Ramond-Ramond Couplings
Hong Liu, Jeremy Michelson
We give a detailed discussion of the disk amplitudes with one closed string insertion, which we used to construct the supergravity couplings of noncommutative D-branes to the RR po…
Condensed matter physics of a strongly coupled gauge theory with quarks: some novel features of the phase diagram
Thomas Faulkner, Hong Liu
We revisit the phase diagram of the N=4 SU(N_c) super-Yang-Mills theory coupled to N_f fundamental "quarks" at strong coupling using the gauge-gravity correspondence. We show that…
New lower bound on ball packing density in high-dimensional hyperbolic spaces
Irene Gil Fernández, Jaehoon Kim, Hong Liu +1
We present a new lower bound on the Bowen-Radin maximal density of radius-R ball packings in the m-dimensional hyperbolic space, improving on the basic covering bound by factor Ω(…
Smart wing rotation and ingenious leading edge vortex control modulate the unconventional forces during insects flights
Yang Xiang, Haotian Hang, Hong Liu
Compared with fixed-wing flight, flapping flight can generate a higher lift and is also more maneuverable, largely resulting from the benefits of wing rotation. By analyzing the re…
Strong lensing as a probe of braneworld
Yi Zhang, Hong Liu, Dan Wen +1
For the first time, we use the Event Horizon Telescope (EHT) data to constrain the parameters of braneworld black holes which constrain $ε=0.0285^{+0.0888+0.1456}_{-0.0895-0.1475}…
Heavy ion collisions and AdS/CFT
Hong Liu
We review some recent applications of the AdS/CFT correspondence to heavy ion collisions including a calculation of the jet quenching parameter in N=4 super-Yang-Mills theory and q…
Topological nature of the proper spin current and the spin-Hall torque
Hong Liu, James H. Cullen, Dimitrie Culcer
Spin currents are key to spin torque devices, but determining the proper spin current is non-trivial. Here we derive a general quantum-mechanical formula for the intrinsic proper s…
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection
Liwei Lin, Xiangdong Wang, Hong Liu +1
In this paper, a special decision surface for the weakly-supervised sound event detection (SED) and a disentangled feature (DF) for the multi-label problem in polyphonic SED are pr…
Triangle packings in randomly perturbed graphs
Xinbu Cheng, Hong Liu, Lanchao Wang +1
The longstanding Nash-Williams conjecture asserts that every -divisible graph with admits a triangle decomposition. In the random setting, Frankl and Rödl…
Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation
Hong Liu, Dong Wei, Qian Dai +3
Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications.…
Semi-supervised Sound Event Detection with Local and Global Consistency Regularization
Yiming Li, Xiangdong Wang, Hong Liu +3
Learning meaningful frame-wise features on a partially labeled dataset is crucial to semi-supervised sound event detection. Prior works either maintain consistency on frame-level p…