6 citations
- Tsinghua UniversityCN4 papers
- Shanghai Artificial Intelligence LaboratoryCN3 papers
- University of Science and Technology of ChinaCN3 papers
- Fudan UniversityCN2 papers
- Beijing Academy of Artificial IntelligenceCN1 paper
- Chinese University of Hong KongHK1 paper
- Hefei UniversityCN1 paper
- Northwestern Polytechnical UniversityCN1 paper
- Northwestern Polytechnic UniversityUS1 paper
- Shanghai Architectural Design & Research InstituteCN1 paper
- Shanghai Polytechnic UniversityCN1 paper
- ShanghaiTech UniversityCN1 paper
8 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…
obliv-clang: Real-World Oblivious Programming in C++
Yunqian Luo, Mingyu Gao
Side-channel vulnerabilities, particularly timing and access-pattern-based attacks, have become critical issues for confidential data processing in trusted environments. Oblivious…
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…
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…
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
Xianqiang Gao, Pingrui Zhang, Delin Qu +4
3D Object Affordance Grounding aims to predict the functional regions on a 3D object and has laid the foundation for a wide range of applications in robotics. Recent advances tackl…