no code implementations • 13 Mar 2024 • Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, Hangyu Mao
Then, in the first stage, question-SQL pairs are retrieved as few-shot demonstrations, prompting the LLM to generate a preliminary SQL (PreSQL).
Ranked #1 on Text-To-SQL on spider
no code implementations • 5 Mar 2024 • Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao
Then we formulate five evaluation tasks to comprehensively assess the performance of diverse methods across various LLMs throughout the Text-to-SQL process. Our study highlights the performance disparities among LLMs and proposes optimal in-context learning solutions tailored to each task.
no code implementations • 16 Jan 2024 • Bin Zhang, Xiangyu Zhu, XiaoYu Zhang, Zhen Lei
Face anti-spoofing is crucial for ensuring the security and reliability of face recognition systems.
2 code implementations • 26 Dec 2023 • Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
Designing better deep networks and better reinforcement learning (RL) algorithms are both important for deep RL.
no code implementations • 17 Dec 2023 • En Yu, Jie Lu, Bin Zhang, Guangquan Zhang
Specifically, OBAL operates in a dual-phase mechanism, in the first of which we design an Adaptive COvariate Shift Adaptation (AdaCOSA) algorithm to construct an initialized ensemble model using archived data from various source streams, thus mitigating the covariate shift while learning the dynamic correlations via an adaptive re-weighting strategy.
no code implementations • 14 Dec 2023 • Dapeng Li, Na Lou, Bin Zhang, Zhiwei Xu, Guoliang Fan
Parameter sharing, as an important technique in multi-agent systems, can effectively solve the scalability issue in large-scale agent problems.
no code implementations • 23 Nov 2023 • Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan
The remarkable progress in Large Language Models (LLMs) opens up new avenues for addressing planning and decision-making problems in Multi-Agent Systems (MAS).
no code implementations • 19 Nov 2023 • Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao
Large Language Models (LLMs) have demonstrated proficiency in addressing tasks that necessitate a combination of task planning and the usage of external tools that require a blend of task planning and the utilization of external tools, such as APIs.
no code implementations • 6 Oct 2023 • Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi Hanson, Thomas E Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin Aji, Angela Dalton, Michael Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences.
no code implementations • 4 Oct 2023 • Ziqian Ning, Yuepeng Jiang, Zhichao Wang, Bin Zhang, Lei Xie
This paper introduces the T23 team's system submitted to the Singing Voice Conversion Challenge 2023.
1 code implementation • 6 Sep 2023 • Juexiao Zhou, Bin Zhang, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Xin Gao
With the fast-growing and evolving omics data, the demand for streamlined and adaptable tools to handle the analysis continues to grow.
no code implementations • 7 Aug 2023 • Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao
With recent advancements in natural language processing, Large Language Models (LLMs) have emerged as powerful tools for various real-world applications.
no code implementations • 13 May 2023 • Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan
Our research contributes to the development of an effective and adaptable asynchronous action coordination method that can be widely applied to various task types and environmental configurations in MAS.
no code implementations • 28 Apr 2023 • Dapeng Li, Zhiwei Xu, Bin Zhang, Guoliang Fan
Centralized training with decentralized execution (CTDE) is a widely-used learning paradigm that has achieved significant success in complex tasks.
no code implementations • 25 Apr 2023 • Dapeng Li, Zhiwei Xu, Bin Zhang, Guoliang Fan
In addition, our structure can be applied to various existing mainstream reinforcement learning algorithms with minor modifications and can deal with the problem with a variable number of agents.
1 code implementation • 21 Apr 2023 • Juexiao Zhou, Xiaonan He, Liyuan Sun, Jiannan Xu, Xiuying Chen, Yuetan Chu, Longxi Zhou, Xingyu Liao, Bin Zhang, Xin Gao
Skin and subcutaneous diseases rank high among the leading contributors to the global burden of nonfatal diseases, impacting a considerable portion of the population.
no code implementations • 20 Apr 2023 • Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan
In multi-agent reinforcement learning (MARL), self-interested agents attempt to establish equilibrium and achieve coordination depending on game structure.
no code implementations • 28 Mar 2023 • Yameng Wang, Yi Wan, Yongjun Zhang, Bin Zhang, Zhi Gao
The present multi-modal methods usually map high-dimensional features to low-dimensional spaces as a preprocess before feature extraction to address the nonnegligible domain gap, which inevitably leads to information loss.
no code implementations • 23 Mar 2023 • Su Chen, Xianwei Liu, Lei Fu, Suyang Wang, Bin Zhang, Xiaojun Li
Ground-motion model (GMM) is the basis of many earthquake engineering studies.
1 code implementation • 19 Mar 2023 • Srikar Yellapragada, Zhenghong Li, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan, Jie Wei, Erik Blasch, Bin Zhang, Haibin Ling
In this paper, we present a meticulously crafted and annotated benchmark, called \textbf{CCTV-Gun}, which addresses the challenges of detecting handguns in real-world CCTV images.
1 code implementation • 21 Feb 2023 • Xun Zhu, Yutong Xiong, Ming Wu, Gaozhen Nie, Bin Zhang, Ziheng Yang
To the best of our knowledge, our Weather2K is the first attempt to tackle weather forecasting task by taking full advantage of the strengths of observation data from ground weather stations.
1 code implementation • 20 Feb 2023 • Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao
Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries.
no code implementations • 4 Feb 2023 • Zhiwei Xu, Bin Zhang, Dapeng Li, Guangchong Zhou, Zeren Zhang, Guoliang Fan
Value decomposition methods have gained popularity in the field of cooperative multi-agent reinforcement learning.
no code implementations • 30 Oct 2022 • Fuyang Li, Jiying Zhang, Xi Xiao, Bin Zhang, Dijun Luo
This paper proposes a two-phase paradigm to aggregate comprehensive information on discrete structures leading to a Discount Markov Diffusion Learnable Kernel (DMDLK).
no code implementations • 17 Oct 2022 • Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang
Centralized Training with Decentralized Execution (CTDE) has been a very popular paradigm for multi-agent reinforcement learning.
no code implementations • 31 Aug 2022 • Yunhao Wang, Huixin Sun, Xiaodi Wang, Bin Zhang, Chao Li, Ying Xin, Baochang Zhang, Errui Ding, Shumin Han
We develop a simple but effective module to explore the full potential of transformers for visual representation by learning fine-grained and coarse-grained features at a token level and dynamically fusing them.
no code implementations • 6 Jun 2022 • Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan
Almost all multi-agent reinforcement learning algorithms without communication follow the principle of centralized training with decentralized execution.
no code implementations • 22 May 2022 • Xinqiang Ding, Bin Zhang
Coarse-grained models have proven helpful for simulating complex systems over long timescales to provide molecular insights into various processes.
no code implementations • 20 Apr 2022 • Zhiwei Xu, Dapeng Li, Bin Zhang, Yuan Zhan, Yunpeng Bai, Guoliang Fan
Recently, model-based agents have achieved better performance than model-free ones using the same computational budget and training time in single-agent environments.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 7 Mar 2022 • Bin Zhang, Yunpeng Bai, Zhiwei Xu, Dapeng Li, Guoliang Fan
The application of deep reinforcement learning in multi-agent systems introduces extra challenges.
no code implementations • 26 Jan 2022 • Jian Li, Bin Zhang, Yabiao Wang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Jilin Li, Xiaoming Huang, Yili Xia
Along with current multi-scale based detectors, Feature Aggregation and Enhancement (FAE) modules have shown superior performance gains for cutting-edge object detection.
Ranked #1 on Face Detection on WIDER Face (Medium)
no code implementations • 24 Jan 2022 • Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu
In this paper, we propose to extend Neural Architecture Search (NAS) technique for designing an optimal model for multiple facial attributes-based depression recognition, which can be efficiently and robustly implemented in a small dataset.
no code implementations • CVPR 2022 • Dong Wei, Yi Wan, Yongjun Zhang, Xinyi Liu, Bin Zhang, Xiqi Wang
In this paper, we propose an efficient line segment reconstruction method called ELSR.
no code implementations • 20 Dec 2021 • Bin Zhang, Yang Wu, Xiaojing Zhang, Ming Ma
In the current salient object detection network, the most popular method is using U-shape structure.
1 code implementation • 9 Dec 2021 • Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Liu
HGCN-MIX models agents as well as their relationships as a hypergraph, where agents are nodes and hyperedges among nodes indicate that the corresponding agents can coordinate to achieve larger rewards.
no code implementations • 14 Oct 2021 • Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, Guoliang Fan
Recently, some challenging tasks in multi-agent systems have been solved by some hierarchical reinforcement learning methods.
Hierarchical Reinforcement Learning Multi-agent Reinforcement Learning +4
1 code implementation • 13 Oct 2021 • Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu
Zero/few-shot transfer to unseen services is a critical challenge in task-oriented dialogue research.
no code implementations • 26 Sep 2021 • Yu Zhang, Xiaoguang Di, Shiyu Yan, Bin Zhang, Baoling Qi, Chunhui Wang
This paper proposes a simple self-calibration method for the internal time synchronization of MEMS(Micro-electromechanical systems) LiDAR during research and development.
no code implementations • 11 Aug 2021 • Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-19.
no code implementations • 23 Jul 2021 • Marcel Balle, Chengkai Zhu, Bin Zhang, Jie Wang, Lixin Ran
A compact, continuous-wave, mmWave radar sensor is developed for non-contact detection of micron-scale motions.
no code implementations • 13 May 2021 • Zhiwei Xu, Yunpeng Bai, Dapeng Li, Bin Zhang, Guoliang Fan
As one of the solutions to the decentralized partially observable Markov decision process (Dec-POMDP) problems, the value decomposition method has achieved significant results recently.
Multi-agent Reinforcement Learning reinforcement-learning +3
1 code implementation • CVPR 2021 • Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
Superpixel is generated by automatically clustering pixels in an image into hundreds of compact partitions, which is widely used to perceive the object contours for its excellent contour adherence.
1 code implementation • 1 Mar 2021 • Yu Zhang, Xiaoguang Di, Bin Zhang, Qingyan Li, Shiyu Yan, Chunhui Wang
Both of the networks can be trained with low light images only, which is achieved by a Maximum Entropy based Retinex (ME-Retinex) model and an assumption that noises are independently distributed.
no code implementations • 12 Jan 2021 • Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro Szekely
Recently, the focus has been on large text-based sources, which facilitate easier integration with neural (language) models and application to textual tasks, typically at the expense of the semantics of the sources and their harmonization.
no code implementations • 22 Dec 2020 • Li Guo, Houyi Yu, Bin Zhang
As a natural basis of the Hopf algebra of quasisymmetric functions, monomial quasisymmetric functions are formal power series defined from compositions.
Combinatorics Mathematical Physics Mathematical Physics Number Theory Quantum Algebra 05E05, 81%15, 16T05, 17B38, 11M32, 16W99, 11B73
1 code implementation • 21 Dec 2020 • Filip Ilievski, Pedro Szekely, Bin Zhang
Sources of commonsense knowledge support applications in natural language understanding, computer vision, and knowledge graphs.
no code implementations • 29 Oct 2020 • Avraham Gover, Bin Zhang, Du Ran, Reuven Ianconescu, Aharon Friedman, Jacob Scheuer, Amnon Yariv
Free-Electron Bound-Electron Resonant Interaction (FEBERI) is the resonant inelastic interaction of periodically density-bunched free electrons with a quantum two level system.
Quantum Physics
no code implementations • 13 Oct 2020 • Qi Shen, Shengjie Zhao, Rongqing Zhang, Bin Zhang
The drowsiness detection system is trained and evaluated on the famous Nation Tsing Hua University Driver Drowsiness Detection (NTHU-DDD) dataset and we obtain an accuracy of 94. 46%, which outperforms most existing fatigue detection models.
no code implementations • 30 Sep 2020 • Bin Zhang, Shengjie Zhao, Rongqing Zhang
As one of the fundamental tasks in computer vision, semantic segmentation plays an important role in real world applications.
no code implementations • 24 Sep 2020 • Bin Zhang, Cen Chen, Li Wang
The success of machine learning algorithms often relies on a large amount of high-quality data to train well-performed models.
1 code implementation • 16 Sep 2020 • Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.
1 code implementation • 26 Aug 2020 • Yu Zhang, Xiaoguang Di, Bin Zhang, Ruihang Ji, Chunhui Wang
The network takes low light images as input and the enhanced V channel as condition, then it can re-enhance the contrast and brightness of the low light image and at the same time reduce noise and color distortion.
no code implementations • 11 Jul 2020 • Bin Yu, Miaosheng He, Bin Zhang, Hong Liu
Based on the objective coordinate system in frame of oblique shock structure, it is found that the nature of three-dimensional lift-off structure of a shockinduced streamwise vortex is inherently and precisely controlled by a two-stage growth mode of structure kinetics of a shock bubble interaction (SBI for short).
Fluid Dynamics
2 code implementations • 2 Jul 2020 • Bin Zhang, Jian Li, Yabiao Wang, Zhipeng Cui, Yili Xia, Chengjie Wang, Jilin Li, Feiyue Huang
Cartoon face detection is a more challenging task than human face detection due to many difficult scenarios is involved.
no code implementations • 1 May 2020 • Xinqiang Ding, Bin Zhang
In this letter, we introduce a general framework for calculating the absolute free energy of a state.
no code implementations • 25 Mar 2020 • Bin Zhang, Jian Li, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yili Xia, Wenjiang Pei, Rongrong Ji
In this paper, we propose a novel Automatic and Scalable Face Detector (ASFD), which is based on a combination of neural architecture search techniques as well as a new loss design.
1 code implementation • 26 Feb 2020 • Yu Zhang, Xiaoguang Di, Bin Zhang, Chunhui Wang
We introduce a constraint that the maximum channel of the reflectance conforms to the maximum channel of the low light image and its entropy should be largest in our model to achieve self-supervised learning.
1 code implementation • CVPR 2020 • Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia
In this paper, we demonstrate it can indeed help the model to output more discriminative results within old classes.
Ranked #2 on Incremental Learning on ImageNet100 - 10 steps (# M Params metric)
3 code implementations • 18 Oct 2019 • Bin Zhang, Shenyao Jin, Yili Xia, Yongming Huang, Zixiang Xiong
Deep learning based image denoising methods have been extensively investigated.
no code implementations • 13 Apr 2019 • Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Shu-Tao Xia
There is a probabilistic version of PCA, known as Probabilistic PCA (PPCA).
no code implementations • 13 Nov 2018 • Haotian Hang, Bin Yu, Yang Xiang, Bin Zhang, Hong Liu
High-accuracy and high-efficiency finite-time Lyapunov exponent (FTLE) calculation method has long been a research hot point, and adaptive refinement method is a kind of method in this field.
Fluid Dynamics
no code implementations • 6 Jul 2018 • Xiao Liu, Bin Zhang, Anjana Susarla, Rema Padman
YouTube presents an unprecedented opportunity to explore how machine learning methods can improve healthcare information dissemination.
no code implementations • 29 Oct 2014 • Xudong Liu, Bin Zhang, Ting Zhang, Chang Liu
Rating Prediction is a basic problem in Recommender System, and one of the most widely used method is Factorization Machines(FM).