190 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fudan UniversityCN92 papers
- Tsinghua UniversityCN58 papers
- State Key Laboratory of Surface Physics54 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN23 papers
- Hefei UniversityCN20 papers
- Shanghai Artificial Intelligence LaboratoryCN14 papers
- University of Shanghai for Science and TechnologyCN14 papers
- Shanghai Jiao Tong UniversityCN10 papers
- Shanghai Research Center for Quantum SciencesCN10 papers
- Shanghai Fudan Microelectronics (China)CN9 papers
- University of Science and Technology of ChinaCN9 papers
- Beijing Academy of Artificial IntelligenceCN8 papers
152 papers
OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance
Mengzhang Li, Yuan Yao
We present OpenGlass, an open-source, privacy-oriented, local-first system for low-latency multimodal visual assistance, with a primary focus on blind and low-vision users. Cloud M…
Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds
Zherui Yang, Tao Du, Ligang Liu
The eigendecomposition of the Laplace--Beltrami Operator (LBO) is fundamental to geometric analysis, yet computing its low-frequency eigenmodes remains a significant bottleneck due…
MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing
Youqing Fang, Yinhao Tang, Yanan Sun +8
Recent writing assistants are increasingly shifting from passive, prompt-driven interaction to proactive, suggestion-based completion, which integrates localized continuations into…
Kitaev interaction and possible spin liquid state in CoI2 and Co2/3Mg1/3I2
Yaozhenghang Ma, Ke Yang, Yuxuan Zhou +1
Kitaev materials are of great interest due to their potential in realizing quantum spin liquid (QSL) states and applications in topological quantum computing. In the pursuit of rea…
Microwave electrometry with quantum-limited resolutions in a Rydberg atom array
Yao-Wen Zhang, De-Sheng Xiang, Ren Liao +6
Microwave (MW) field sensing is foundational to modern technology, yet its evolution, reliant on classical antennas, is constrained by fundamental physical limits on field, tempora…
AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field
Chen Liang, Zhaoqi Huang, Haofen Wang +8
Large language models (LLMs), as a novel information technology, are seeing increasing adoption in the Architecture, Engineering, and Construction (AEC) field. They have shown thei…
ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
Hengrui Zhang, Yulong Hui, Yihao Liu +1
Predicates are foundational components in data analysis systems. However, modern workloads increasingly involve unstructured documents, which demands semantic understanding, beyond…
PUSHtap: PIM-based In-Memory HTAP with Unified Data Storage Format
Yilong Zhao, Mingyu Gao, Huanchen Zhang +5
Hybrid transaction/analytical processing (HTAP) is an emerging database paradigm that supports both online transaction processing (OLTP) and online analytical processing (OLAP) wor…
High-Accuracy Temporal Prediction via Experimental Quantum Reservoir Computing in Correlated Spins
Yanjun Hou, Juncheng Hua, Ze Wu +6
Physical reservoir computing provides a powerful machine learning paradigm that exploits nonlinear physical dynamics for efficient information processing. By incorporating quantum…
Demonstration of low-overhead quantum error correction codes
Ke Wang, Zhide Lu, Chuanyu Zhang +39
Quantum computers hold the potential to surpass classical computers in solving complex computational problems. However, the fragility of quantum information and the error-prone nat…
Contrasting magnetism in VPS3 and CrI3 monolayers with the common honeycomb S = 3/2 spin lattice
Ke Yang, Yueyue Ning, Yaozhenghang Ma +2
Two-dimensional (2D) magnetic materials are promising candidates for spintronics and quantum technologies. One extensively studied example is the ferromagnetic (FM) CrI monolay…
CritiQ: Mining Data Quality Criteria from Human Preferences
Honglin Guo, Kai Lv, Qipeng Guo +8
Language model heavily depends on high-quality data for optimal performance. Existing approaches rely on manually designed heuristics, the perplexity of existing models, training c…
Dictionary-Learning-Based Data Pruning for System Identification
Tingna Wang, Sikai Zhang, Mingming Song +1
System identification is normally involved in augmenting time series data by time shifting and nonlinearisation (e.g., polynomial basis), both of which introduce redundancy in feat…
VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion
Shaoting Zhu, Linzhan Mou, Derun Li +3
Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges whe…
SoMa: Identifying, Exploring, and Understanding the DRAM Communication Scheduling Space for DNN Accelerators
Jingwei Cai, Xuan Wang, Mingyu Gao +5
Modern Deep Neural Network (DNN) accelerators are equipped with increasingly larger on-chip buffers to provide more opportunities to alleviate the increasingly severe DRAM bandwidt…
Scheme to Detect the Strong-to-weak Symmetry Breaking via Randomized Measurements
Ning Sun, Pengfei Zhang, Lei Feng
Symmetry breaking plays a central role in classifying the phases of quantum many-body systems. Recent developments have highlighted a novel symmetry-breaking pattern, in which the…
Observation of topological prethermal strong zero modes
Feitong Jin, Si Jiang, Xuhao Zhu +42
Symmetry-protected topological phases cannot be described by any local order parameter and are beyond the conventional symmetry-breaking paradigm for understanding quantum matter.…
Diagnosing Quantum Many-body Chaos in Non-Hermitian Quantum Spin Chain via Krylov Complexity
Yijia Zhou, Wei Xia, Lin Li +1
We investigate the phase transitions from chaotic to nonchaotic dynamics in a quantum spin chain with a local non-Hermitian disorder, which can be realized with a Rydberg atom arra…
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving
Lingdong Kong, Xiang Xu, Youquan Liu +6
Recent advancements in vision foundation models (VFMs) have revolutionized visual perception in 2D, yet their potential for 3D scene understanding, particularly in autonomous drivi…
Anatomy of information scrambling and decoherence in the integrable Sachdev-Ye-Kitaev model
Antonio M. García-García, Chang Liu, Lucas Sá +2
The growth of information scrambling, captured by out-of-time-order correlation functions (OTOCs), is a central indicator of the nature of many-body quantum dynamics. Here, we comp…
Strong-to-weak Symmetry Breaking and Entanglement Transitions
Langxuan Chen, Ning Sun, Pengfei Zhang
When interacting with an environment, the entanglement within quantum many-body systems is rapidly transferred to the entanglement between the system and the bath. For systems with…
Bright dipolar excitons in twisted black phosphorus homostructures
Shenyang Huang, Boyang Yu, Yixuan Ma +12
Bright dipolar excitons, which contain electrical dipoles and have high oscillator strength, are an ideal platform for studying correlated quantum phenomena. They usually rely on c…
Entanglement-induced provable and robust quantum learning advantages
Haimeng Zhao, Dong-Ling Deng
Quantum computing holds unparalleled potentials to enhance machine learning. However, a demonstration of quantum learning advantage has not been achieved so far. We make a step for…
Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits
Menghan Song, Zhaoyi Zeng, Ting-Tung Wang +3
We investigate operator dynamics and entanglement growth in dual-unitary circuits, a class of locally scrambled quantum systems that enables efficient simulation beyond the exponen…