1 code implementation • 23 Dec 2024 • Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin D. Haeffele
Specifically, we derive a novel variational form of the MCR$^2$ objective and show that the architecture that results from unrolled gradient descent of this variational objective leads to a new attention module called Token Statistics Self-Attention (TSSA).
no code implementations • 9 Nov 2024 • Lei Yu, Shiqi Chen, Hang Yuan, Peng Wang, Zhirong Huang, Jingyuan Zhang, Chenjie Shen, Fengjun Zhang, Li Yang, Jiajia Ma
Existing smart contract vulnerability detection methods face three main issues: (1) Insufficient quality of datasets, lacking detailed explanations and precise vulnerability locations.
no code implementations • 10 Oct 2024 • Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
The primary challenge in FDA is data heterogeneity, which causes significant divergences in gradient updates when using conventional averaging-based aggregation methods, reducing the efficacy of the global model.
no code implementations • 9 Oct 2024 • Xinyi Zeng, Yuying Shang, Jiawei Chen, Jingyuan Zhang, Yu Tian
Large language models (LLMs) have demonstrated immense utility across various industries.
no code implementations • 9 Oct 2024 • Yuying Shang, Xinyi Zeng, Yutao Zhu, Xiao Yang, Zhengwei Fang, Jingyuan Zhang, Jiawei Chen, Zinan Liu, Yu Tian
Hallucinations in large vision-language models (LVLMs) are a significant challenge, i. e., generating objects that are not presented in the visual input, which impairs their reliability.
no code implementations • 29 May 2024 • Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
Federated Learning (FL) is a promising privacy-preserving machine learning paradigm that allows data owners to collaboratively train models while keeping their data localized.
no code implementations • 24 May 2024 • Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong
The core of our approach is the observation that a pre-trained language model can confidently predict multiple contiguous tokens, forming the basis for a \textit{lexical unit}, in which these contiguous tokens could be decoded in parallel.
1 code implementation • 7 May 2024 • Ziqi Zhou, Jingyue Zhang, Jingyuan Zhang, Yangfan He, Boyue Wang, Tianyu Shi, Alaa Khamis
One of the key challenges in current Reinforcement Learning (RL)-based Automated Driving (AD) agents is achieving flexible, precise, and human-like behavior cost-effectively.
no code implementations • 16 Mar 2024 • Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma
This consequently limits the performance of downstream tasks, such as image-to-multiview generation and 3D reconstruction.
no code implementations • 10 Mar 2024 • Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Qifan Wang, Xun Zhou, Zenglin Xu
Federated instruction tuning (FedIT) has emerged as a promising solution, by consolidating collaborative training across multiple data owners, thereby resulting in a privacy-preserving learning model.
no code implementations • 15 Jan 2024 • Xinyu Li, Jian Wei You, Ze Gu, Qian Ma, Jingyuan Zhang, Long Chen, Tie Jun Cui
Passive human sensing using wireless signals has attracted increasing attention due to its superiorities of non-contact and robustness in various lighting conditions.
no code implementations • 28 Nov 2023 • Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Zipei Fan, Xuan Song
In addition, prior works overlook the rich structural information inherent in KG, which consists of higher-order relations and can further alleviate the impact of data sparsity. To this end, we propose a Hyper-Relational Knowledge Graph Neural Network (HKGNN) model.
1 code implementation • 20 Nov 2023 • Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, Hang Su
Rapid advancements in large language models (LLMs) have revitalized in LLM-based agents, exhibiting impressive human-like behaviors and cooperative capabilities in various scenarios.
no code implementations • 14 Nov 2023 • Xinyu Li, Jian Wei You, Ze Gu, Qian Ma, Long Chen, Jingyuan Zhang, Shi Jin, Tie Jun Cui
Reconfigurable intelligent surfaces (RISs) have flexible and exceptional performance in manipulating electromagnetic waves and customizing wireless channels.
no code implementations • 20 Jul 2023 • Kaiwen Wei, Jie Yao, Jingyuan Zhang, Yangyang Kang, Fubang Zhao, Yating Zhang, Changlong Sun, Xin Jin, Xin Zhang
Firstly, the layout of existing datasets is relatively fixed and limited in the number of semantic entity categories, creating a significant gap between these datasets and the complex real-world scenarios.
no code implementations • 28 Apr 2023 • Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu
In addition, we propose RexUIE, which is a Recursive Method with Explicit Schema Instructor for UIE.
no code implementations • 18 Feb 2023 • Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
Our method is arguably the first to demonstrate that a concatenation of multiple convolution sparse coding/decoding layers leads to an interpretable and effective autoencoder for modeling the distribution of large-scale natural image datasets.
no code implementations • ACL 2021 • Kaiwen Wei, Xian Sun, Zequn Zhang, Jingyuan Zhang, Guo Zhi, Li Jin
Implicit Event Argument Extraction seeks to identify arguments that play direct or implicit roles in a given event.
4 code implementations • 14 Oct 2020 • Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
Serverless computing is increasingly being used for parallel computing, which have traditionally been implemented as stateful applications.
Distributed, Parallel, and Cluster Computing
no code implementations • ACL 2020 • Jingyuan Zhang, Mingming Sun, Yue Feng, Ping Li
Compared to the state-of-the-art methods, the learned network structures help improving the identification of concepts for entities based on the relations of entities on both datasets.
2 code implementations • 14 Oct 2019 • Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng
The auto-scaling property of serverless computing platforms accommodates short tasks and bursty workloads, while the pay-per-use billing model of serverless computing providers keeps the cost of short tasks low.
Distributed, Parallel, and Cluster Computing
no code implementations • 18 Jul 2019 • Jingyuan Zhang, Timothy Baldwin
Recent work has demonstrated that vector offsets obtained by subtracting pretrained word embedding vectors can be used to predict lexical relations with surprising accuracy.
no code implementations • NAACL 2019 • Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li
Leveraging domain knowledge is an effective strategy for enhancing the quality of inferred low-dimensional representations of documents by topic models.
no code implementations • 16 Apr 2017 • He Jiang, Jingyuan Zhang, Jifeng Xuan, Zhilei Ren, Yan Hu
In this paper, we propose a Hybrid Ant Colony Optimization algorithm (HACO) for Next Release Problem (NRP).
no code implementations • 14 Dec 2016 • Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu
In this paper, we address the problem of extracting compatible and incompatible products from yes/no questions in PCQA.
no code implementations • 19 Aug 2015 • Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
In this paper, we study the problem of discriminative subgraph selection using multiple side views and propose a novel solution to find an optimal set of subgraph features for graph classification by exploring a plurality of side views.