no code implementations • 12 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.
no code implementations • 10 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.
no code implementations • 9 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.
no code implementations • 9 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.
no code implementations • 15 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).
no code implementations • 11 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.
no code implementations • 5 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.
no code implementations • 27 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.
no code implementations • 7 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.
no code implementations • 23 Jan 2025 • Zhenghao Lin, Zihao Tang, Xiao Liu, Yeyun Gong, Yi Cheng, Qi Chen, Hang Li, Ying Xin, Ziyue Yang, Kailai Yang, Yu Yan, Xiao Liang, Shuai Lu, Yiming Huang, Zheheng Luo, Lei Qu, Xuan Feng, Yaoxiang Wang, Yuqing Xia, Feiyang Chen, Yuting Jiang, Yasen Hu, Hao Ni, Binyang Li, Guoshuai Zhao, Jui-Hao Chiang, Zhongxin Guo, Chen Lin, Kun Kuang, Wenjie Li, Yelong Shen, Jian Jiao, Peng Cheng, Mao Yang
We introduce Sigma, an efficient large language model specialized for the system domain, empowered by a novel architecture including DiffQKV attention, and pre-trained on our meticulously collected system domain data.
no code implementations • 28 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.
1 code implementation • 21 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.
no code implementations • 21 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.
no code implementations • 12 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.
1 code implementation • 20 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.
1 code implementation • 19 Sep 2024 • Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Jianan Yao, Weidong Cui, Yeyun Gong, Chris Hawblitzel, Shuvendu Lahiri, Jacob R. Lorch, Shuai Lu, Fan Yang, Ziqiao Zhou, Shan Lu
AutoVerus uses LLM to automatically generate correctness proof for Rust code.
no code implementations • 2 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.
no code implementations • 1 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.
2 code implementations • CVPR 2025 • Jia Guo, Shuai Lu, Weihang Zhang, Fang Chen, Hongen Liao, Huiqi Li
Recent studies highlighted a practical setting of unsupervised anomaly detection (UAD) that builds a unified model for multi-class images.
Ranked #1 on
Multi-class Anomaly Detection
on MVTec AD
no code implementations • 31 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
no code implementations • 22 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.
no code implementations • 16 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.
no code implementations • 5 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.
no code implementations • 4 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.
no code implementations • 12 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.
1 code implementation • 29 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.
1 code implementation • 21 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.
1 code implementation • 27 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.
1 code implementation • 25 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.
1 code implementation • 25 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.
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.
1 code implementation • 8 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.
3 code implementations • 13 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.
no code implementations • 29 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.
no code implementations • 19 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.
2 code implementations • 17 Mar 2022 • Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan
In this research, we focus on utilizing pre-training techniques for the tasks in the code review scenario.
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.
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.
no code implementations • 14 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.
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.
1 code implementation • Findings (EMNLP) 2021 • JunJie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan
In this work, we conduct a thorough examination of pretrained model based unsupervised sentence embeddings.
7 code implementations • 9 Feb 2021 • Shuai Lu, Daya Guo, Shuo Ren, JunJie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
Benchmark datasets have a significant impact on accelerating research in programming language tasks.
Ranked #1 on
Cloze Test
on CodeXGLUE - CT-maxmin
3 code implementations • 22 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.
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.
Ranked #3 on
Type prediction
on ManyTypes4TypeScript
no code implementations • 8 Oct 2019 • José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, Karel van Keer, Deepti. R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton Van Den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yongli Xu, Pengshuai Yin, Fei Li, Yanwu Xu, Xiulan Zhang, Hrvoje Bogunović
As part of REFUGE, we have publicly released a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
no code implementations • 3 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.
no code implementations • 6 Dec 2017 • Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
This paper addresses the question: Why do neural dialog systems generate short and meaningless replies?