Search Results for author: Shuai Lu

Found 47 papers, 19 papers with code

UrbanSense:AFramework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models

no code implementations12 Jun 2025 Jun Yin, Jing Zhong, Peilin Li, Pengyu Zeng, Miao Zhang, Ran Luo, Shuai Lu

To address this, we propose a multimodal research framework based on vision-language models, enabling automated and scalable analysis of urban streetscape style differences.

FloorplanMAE:A self-supervised framework for complete floorplan generation from partial inputs

no code implementations10 Jun 2025 Jun Yin, Jing Zhong, Pengyu Zeng, Peilin Li, Miao Zhang, Ran Luo, Shuai Lu

Experimental results show that the FloorplanMAE model can generate high-quality complete floor plans from incomplete partial plans.

Self-Supervised Learning

ArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models

no code implementations9 Jun 2025 Jing Zhong, Jun Yin, Peilin Li, Pengyu Zeng, Miao Zang, Ran Luo, Shuai Lu

Architectural cultures across regions are characterized by stylistic diversity, shaped by historical, social, and technological contexts in addition to geograph-ical conditions.

Descriptive

Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach

no code implementations9 May 2025 Shuai Lu, Zeyin Hou, Wei Gu, Yijun Xu

Specifically, we first develop an optimal dispatch model for the distribution system integrating buildings, which can be extended to other storage-like flexibility resources.

Computational Efficiency

Fast Critical Clearing Time Calculation for Power Systems with Synchronous and Asynchronous Generation

no code implementations15 Mar 2025 Xuezao Wang, Yijun Xu, Wei Gu, Kai Liu, Shuai Lu, Mert Korkali, Lamine Mili

The increasing penetration of renewables is replacing traditional synchronous generation in modern power systems with low-inertia asynchronous converter-interfaced generators (CIGs).

A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models

no code implementations11 Mar 2025 Miao Zhang, Zhenlong Fang, Tianyi Wang, Qian Zhang, Shuai Lu, Junfeng Jiao, Tianyu Shi

Traditional Reinforcement Learning (RL) suffers from replicating human-like behaviors, generalizing effectively in multi-agent scenarios, and overcoming inherent interpretability issues. These tasks are compounded when deep environment understanding, agent coordination and dynamic optimization are required.

Decision Making global-optimization +6

On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm

no code implementations5 Mar 2025 Mingji Chen, Shuai Lu, Wei Gu, ZhaoYang Dong, Yijun Xu, Jiayi Ding

The flexible loads in power systems, such as interruptible and transferable loads, are critical flexibility resources for mitigating power imbalances.

Bayesian Optimization parameter estimation

Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach

no code implementations27 Feb 2025 Zhikai Huang, Shuai Lu, Wei Gu, Ruizhi Yu, Suhan Zhang, Yijun Xu, Yuan Li

Ensuring the safe and reliable operation of integrated electricity and gas systems (IEGS) requires dynamic energy flow (DEF) simulation tools that achieve high accuracy and computational efficiency.

Computational Efficiency

MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data

no code implementations7 Feb 2025 Yuqin Dai, Zhouheng Yao, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang, Jiamin Wu

Brain decoding aims to reconstruct visual perception of human subject from fMRI signals, which is crucial for understanding brain's perception mechanisms.

Brain Decoding

Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios

no code implementations28 Nov 2024 Muhammad Saeed, Arash Khalatbarisoltani, Zhongwei Deng, Wenxue Liu, Faisal Altaf, Shuai Lu, Xiaosong Hu

To pave their way, this study performs a comprehensive and systematic evaluation of four main categories of control observer-based methods in different practical scenarios considering estimation accuracy, computational time convergence speed, stability, and robustness against measurement uncertainties.

State Estimation

Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation

1 code implementation21 Oct 2024 Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei

Experimental results demonstrate the effectiveness of our approach, achieving a 5% absolute performance improvement on Leandojo benchmark.

Automated Theorem Proving Continual Pretraining

Automated Proof Generation for Rust Code via Self-Evolution

no code implementations21 Oct 2024 Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K Lahiri, Tao Xie, Lidong Zhou

SAFE also re-purposes the large number of synthesized incorrect proofs to train the self-debugging capability of the fine-tuned models, empowering them to fix incorrect proofs based on the verifier's feedback.

Code Generation

Quantify Gas-to-Power Fault Propagation Speed:A Semi-Implicit Simulation Approach

no code implementations12 Oct 2024 Ruizhi Yu, Suhan Zhang, Wei Gu, Shuai Lu

Thirdly, to accurately locate the simulation events, which can not be predicted a priori, we propose a critical-time-location strategy based on the continuous Runge-Kutta approach.

Contextualized Data-Wrangling Code Generation in Computational Notebooks

1 code implementation20 Sep 2024 JunJie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu

With CoCoMine, we construct CoCoNote, a dataset containing 58, 221 examples for Contextualized Data-wrangling Code generation in Notebooks.

Code Generation

Nonlinear PDE Constrained Optimal Dispatch of Gas and Power: A Global Linearization Approach

no code implementations2 Sep 2024 Yuan Li, Shuai Lu, Wei Gu, Yijun Xu, Ruizhi Yu, Suhan Zhang, Zhikai Huang

To address it, we propose a globally linearized gas network model based on the Koopman operator theory, avoiding the commonly used local linearization and spatial discretization.

High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures

no code implementations1 Aug 2024 Xiang Fu, Xinpeng Zhang, Jixiang Ma, Peng Zhao, Shuai Lu, Xu T. Liu

We compare the optimized im2win convolution with the direct convolution and PyTorch's im2col-based convolution across the aforementioned layouts on SIMD machines.

Computational Efficiency

Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment

no code implementations31 Mar 2024 Jia Guo, Haonan Han, Shuai Lu, Weihang Zhang, Huiqi Li

We propose Class-Agnostic Distribution Alignment (CADA) to align the mismatched score distribution of each implicit class without knowing class information, which enables unified anomaly detection for all classes and samples.

Multi-class Anomaly Detection Unsupervised Anomaly Detection

On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)

no code implementations22 Mar 2024 Shuai Lu, Jiayi Ding, Mingji Chen, Wei Gu, Junpeng Zhu, Yijun Xu, ZhaoYang Dong, Zezheng Sun

To address this, we analyze the structural and practical identifiability of the PFL model, deriving the dataset condition that guarantees the solution uniqueness.

GAgent: An Adaptive Rigid-Soft Gripping Agent with Vision Language Models for Complex Lighting Environments

no code implementations16 Mar 2024 Zhuowei Li, Miao Zhang, Xiaotian Lin, Meng Yin, Shuai Lu, Xueqian Wang

This paper introduces GAgent: an Gripping Agent designed for open-world environments that provides advanced cognitive abilities via VLM agents and flexible grasping abilities with variable stiffness soft grippers.

Language Modeling Language Modelling

Semi-implicit Continuous Newton Method for Power Flow Analysis

no code implementations5 Dec 2023 Ruizhi Yu, Wei Gu, Yijun Xu, Shuai Lu, Suhan Zhang

Explicit CNMs are prone to non-convergence issues due to their limited stable region, while implicit CNMs introduce additional iteration-loops of nonlinear equations.

Benchmarking Numerical Integration

Competition-Level Problems are Effective LLM Evaluators

no code implementations4 Dec 2023 Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen

Large language models (LLMs) have demonstrated impressive reasoning capabilities, yet there is ongoing debate about these abilities and the potential data contamination problem recently.

Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings

no code implementations12 Oct 2023 Zeyin Hou, Shuai Lu, Yijun Xu, Haifeng Qiu, Wei Gu, ZhaoYang Dong, Shixing Ding

The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource.

model parameter estimation

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency

1 code implementation29 Sep 2023 Baizhou Huang, Shuai Lu, Weizhu Chen, Xiaojun Wan, Nan Duan

We propose the Multi-Perspective Self-Consistency (MPSC) framework incorporating both inter- and intra-consistency across outputs from multiple perspectives.

Code Generation HumanEval +1

Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach

1 code implementation21 Aug 2023 Shuai Lu, Zihang Gao, Yong Sun, Suhan Zhang, Baoju Li, Chengliang Hao, Yijun Xu, Wei Gu

Second, we propose a physics-informed estimator for the AGM that is robust to low-quality measurements, in which the physical constraints associated with the parameter normalization and sparsity are embedded to improve the accuracy and robustness.

Constructing Multilingual Code Search Dataset Using Neural Machine Translation

1 code implementation27 Jun 2023 Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka

Code search is a task to find programming codes that semantically match the given natural language queries.

Code Search Machine Translation +2

Im2win: An Efficient Convolution Paradigm on GPU

1 code implementation25 Jun 2023 Shuai Lu, Jun Chu, Luanzheng Guo, Xu T. Liu

Convolution is the most time-consuming operation in deep neural network operations, so its performance is critical to the overall performance of the neural network.

Im2win: Memory Efficient Convolution On SIMD Architectures

1 code implementation25 Jun 2023 Shuai Lu, Jun Chu, Xu T. Liu

However, the im2col data transformation can lead to at least 2$\times$ memory footprint compared to not using data transformation at all, thus limiting the size of neural network models running on memory-limited systems.

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

2 code implementations NeurIPS 2023 Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li

Most advanced unsupervised anomaly detection (UAD) methods rely on modeling feature representations of frozen encoder networks pre-trained on large-scale datasets, e. g. ImageNet.

Contrastive Learning Decoder +2

Code Execution with Pre-trained Language Models

1 code implementation8 May 2023 Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan

Code execution is a fundamental aspect of programming language semantics that reflects the exact behavior of the code.

Code Generation Code Search +2

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

3 code implementations13 Apr 2023 Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan

Impressively, GPT-4 surpasses average human performance on SAT, LSAT, and math competitions, attaining a 95% accuracy rate on the SAT Math test and a 92. 5% accuracy on the English test of the Chinese national college entrance exam.

Decision Making Math

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

no code implementations29 Mar 2023 Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan

On the other hand, there are also many existing models and systems (symbolic-based or neural-based) that can do some domain-specific tasks very well.

Code Generation Common Sense Reasoning +1

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation

no code implementations19 Oct 2022 Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao

Our CGTP framework is an end to end and interpretable model, including three main stages: context encoding, goal interactive prediction and trajectory interactive prediction.

Motion Forecasting Prediction +1

ReACC: A Retrieval-Augmented Code Completion Framework

1 code implementation ACL 2022 Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy

Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development.

Code Completion Language Modeling +2

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

2 code implementations ACL 2022 Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin

Furthermore, we propose to utilize multi-modal contents to learn representation of code fragment with contrastive learning, and then align representations among programming languages using a cross-modal generation task.

Code Completion Code Search +2

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

no code implementations14 Feb 2022 Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu

However, although numerous algorithms are proposed based on fundus images or OCT volumes in computer-aided diagnosis, there are still few methods leveraging both of the modalities for the glaucoma assessment.

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

no code implementations EMNLP 2021 Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy

While there are many efforts to extend the context window, we introduce an architecture-independent approach for leveraging the syntactic hierarchies of source code for incorporating entire file-level context into a fixed-length window.

Code Completion Code Generation +4

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

3 code implementations22 Sep 2020 Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma

Evaluation metrics play a vital role in the growth of an area as it defines the standard of distinguishing between good and bad models.

Code Translation Translation

GraphCodeBERT: Pre-training Code Representations with Data Flow

1 code implementation ICLR 2021 Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou

Instead of taking syntactic-level structure of code like abstract syntax tree (AST), we use data flow in the pre-training stage, which is a semantic-level structure of code that encodes the relation of "where-the-value-comes-from" between variables.

Clone Detection Code Completion +8

Analysis of regularized Nyström subsampling for regression functions of low smoothness

no code implementations3 Jun 2018 Shuai Lu, Peter Mathé, Sergiy Pereverzyev Jr

This paper studies a Nystr\"om type subsampling approach to large kernel learning methods in the misspecified case, where the target function is not assumed to belong to the reproducing kernel Hilbert space generated by the underlying kernel.

regression

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