Publications (30)
Bridging the classical and quantum regimes in a dissipative Ising chain
Zhenming Zhang, Haowei Li, Wei Yi
We study the long-time dynamics of a dissipative Ising chain with varying quantum correlation. Invoking an ensemble-average formalism, and assuming spatial translation symmetry, we…
Reducing Spurious Correlation for Federated Domain Generalization
Shuran Ma, Weiying Xie, Daixun Li +2
The rapid development of multimedia has provided a large amount of data with different distributions for visual tasks, forming different domains. Federated Learning (FL) can effici…
Dissipative two-dimensional Raman lattice
Haowei Li, Wei Yi
We show that a dissipative two-dimensional Raman lattice can be engineered in a two-component ultracold atomic gas, where the interplay of the two-dimensional spin-orbit coupling a…
SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence
Yuyan Bu, Haowei Li, Qirui Zheng +7
As LLM-based agents expand their operational scope, reliability becomes a prerequisite for real-world deployment. However, in practical applications, human users cannot monitor eve…
Quantum Criticality of Liquid-Gas Transition in a Binary Bose Mixture
Li He, Haowei Li, Wei Yi +1
Quantum liquid, in the form of a self-bound droplet, is stabilized by a subtle balance between the mean-field contribution and quantum fluctuations. While a liquid-gas transition i…
Non-Hermitian skin effect in a spin-orbit-coupled Bose-Einstein condensate
Haowei Li, Xiaoling Cui, Wei Yi
We study a Bose-Einstein condensate of ultracold atoms subject to a non-Hermitian spin-orbit coupling, where the system acquires non-Hermitian skin effect under the interplay of sp…
Engineering Non-Hermitian Skin Effect with Band Topology in Ultracold Gases
Lihong Zhou, Haowei Li, Wei Yi +1
Non-Hermitian skin effect(NHSE) describes a unique non-Hermitian phenomenon that all eigen-modes are localized near the boundary, and has profound impact on a wide range of bulk pr…
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
Zhijie Qiao, Haowei Li, Zhong Cao +1
Vision-Language Models (VLMs) have demonstrated significant potential for end-to-end autonomous driving. However, the field still lacks a practical platform that enables dynamic mo…
LoPRo: Enhancing Low-Rank Quantization via Permuted Block-Wise Rotation
Hongyaoxing Gu, Lijuan Hu, Liye Yu +2
Post-training quantization (PTQ) enables effective model compression while preserving relatively high accuracy. Current weight-only PTQ methods primarily focus on the challenging s…
Navigate Biopsy with Ultrasound under Augmented Reality Device: Towards Higher System Performance
Haowei Li, Wenqing Yan, Jiasheng Zhao +5
Purpose: Biopsies play a crucial role in determining the classification and staging of tumors. Ultrasound is frequently used in this procedure to provide real-time anatomical infor…
Quantum Annealing Algorithms for Estimating Ising Partition Functions
Haowei Li, Zhiyuan Yao, Xingze Qiu
Estimating partition functions of Ising spin glasses is a cornerstone of statistical physics and computational science, yet it remains classically challenging due to its P-hard…
STTAR: Surgical Tool Tracking using off-the-shelf Augmented Reality Head-Mounted Displays
Alejandro Martin-Gomez, Haowei Li, Tianyu Song +6
The use of Augmented Reality (AR) for navigation purposes has shown beneficial in assisting physicians during the performance of surgical procedures. These applications commonly re…
Humanoid-inspired Causal Representation Learning for Domain Generalization
Ze Tao, Jian Zhang, Haowei Li +7
This paper proposes the Humanoid-inspired Structural Causal Model (HSCM), a novel causal framework inspired by human intelligence, designed to overcome the limitations of conventio…
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…
End2Race: Efficient End-to-End Imitation Learning for Real-Time F1Tenth Racing
Zhijie Qiao, Haowei Li, Zhong Cao +1
F1Tenth is a widely adopted reduced-scale platform for developing and testing autonomous racing algorithms, hosting annual competitions worldwide. With high operating speeds, dynam…
Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer
Tong Liu, Zhaowei Chen, Yi Yang +2
Nowadays, deep learning techniques are widely used for lane detection, but application in low-light conditions remains a challenge until this day. Although multi-task learning and…
Symmetry-induced fragmentation and dissipative time crystal
Haowei Li, Wei Yi
Time crystals are a peculiar state of matter. Their emergence hinges on ergodicity breaking, which typically originates from many-body localization or Floquet prethermalization. He…
One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models
Xiaohao Xu, Feng Xue, Xiang Li +5
A faithful 3D world representation should account for layered geometry, where a single camera ray may contain multiple visible and geometrically valid surfaces. Monocular depth est…
Observation of Non-Hermitian Skin Effect and Topology in Ultracold Atoms
Qian Liang, Dizhou Xie, Zhaoli Dong +5
The non-Hermitian skin effect (NHSE), the accumulation of eigen wavefunctions at boundaries of open systems, underlies a variety of exotic properties that defy conventional wisdom.…
Many-body non-Hermitian skin effect under dynamic gauge coupling
Haowei Li, Haojie Wu, Wei Zheng +1
We study an atom-cavity hybrid system where fermionic atoms in a one-dimensional lattice are subject to a cavity-induced dynamic gauge potential. The gauge coupling leads to highly…
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity
Xiaohao Xu, Feng Xue, Xiang Li +5
Depth ambiguity is a fundamental challenge in spatial scene understanding, especially in transparent scenes where single-depth estimates fail to capture full 3D structure. Existing…
CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement
Boni Hu, Lin Chen, Runjian Chen +3
Visual geolocalization is a cost-effective and scalable task that involves matching one or more query images, taken at some unknown location, to a set of geo-tagged reference image…
Segment Any Medical Model Extended
Yihao Liu, Jiaming Zhang, Andres Diaz-Pinto +4
The Segment Anything Model (SAM) has drawn significant attention from researchers who work on medical image segmentation because of its generalizability. However, researchers have…
Topology and its detection in a dissipative Aharonov-Bohm chain
Haowei Li, Wei Yi
In a recent experiment, a dissipative Aharaonov-Bohm (AB) chain was implemented in the momentum space of a Bose-Einstein condensate. Formed by a series of dissipative AB rings thre…
Interaction-Enhanced Superradiance of a Ryderg-Atom Array
Yiwen Han, Haowei Li, Wei Yi
We study the superradiant phase transition of an array of Rydberg atoms in a dissipative microwave cavity. Under the interplay of the cavity field and the long-range Rydberg intera…
FedFQ: Federated Learning with Fine-Grained Quantization
Haowei Li, Weiying Xie, Hangyu Ye +3
Federated learning (FL) is a decentralized approach, enabling multiple participants to collaboratively train a model while ensuring the protection of data privacy. The transmission…
Collective quantum stochastic resonance in Rydberg atoms
Haowei Li, Konghao Sun, Wei Yi
We study the collective response of a group of dissipative Rydberg atoms to a periodic modulation of the Rydberg excitation laser. Focusing on the emergent collective-jump dynamics…
EVD Surgical Guidance with Retro-Reflective Tool Tracking and Spatial Reconstruction using Head-Mounted Augmented Reality Device
Haowei Li, Wenqing Yan, Du Liu +6
Augmented Reality (AR) has been used to facilitate surgical guidance during External Ventricular Drain (EVD) surgery, reducing the risks of misplacement in manual operations. Durin…
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
Boheng Li, Yishuo Cai, Haowei Li +3
Model quantization is widely used to compress and accelerate deep neural networks. However, recent studies have revealed the feasibility of weaponizing model quantization via impla…
Cavity-Mediated Gas-Liquid Transition
Fan Zhang, Haowei Li, Wei Yi
We study the gas-liquid transition in a binary Bose-Einstein condensate, where the two Zeeman-shifted hyperfine spin components are coupled by cavity-assisted Raman processes. Belo…