no code implementations • COLING 2022 • Meiguo Wang, Benjamin Yao, Bin Guo, Xiaohu Liu, Yu Zhang, Tuan-Hung Pham, Chenlei Guo
To evaluate the performance of a multi-domain goal-oriented Dialogue System (DS), it is important to understand what the users’ goals are for the conversations and whether those goals are successfully achieved.
no code implementations • 11 Jun 2025 • Bin Guo, John H. L. Hansen
Conventional vision backbones, despite their success, often construct features through a largely uniform cascade of operations, offering limited explicit pathways for adaptive, iterative refinement.
no code implementations • 15 May 2025 • Tiancong Cheng, Ying Zhang, Yuxuan Liang, Roger Zimmermann, Zhiwen Yu, Bin Guo
While existing solutions transfer multiple teachers' knowledge in a static way, we propose a self-adaptive distillation method that can dynamically adjust the knowledge amount from each teacher according to the student's current learning ability.
1 code implementation • CVPR 2025 • Ke Ma, Jiaqi Tang, Bin Guo, Fan Dang, Sicong Liu, Zhui Zhu, Lei Wu, Cheng Fang, Ying-Cong Chen, Zhiwen Yu, Yunhao Liu
Despite the growing integration of deep models into mobile terminals, the accuracy of these models declines significantly due to various deployment interferences.
1 code implementation • 20 Feb 2025 • Tao Ji, Bin Guo, Yuanbin Wu, Qipeng Guo, Lixing Shen, Zhan Chen, Xipeng Qiu, Qi Zhang, Tao Gui
For example, the KV cache size of Llama2-7B is reduced by 92. 19%, with only a 0. 5% drop in LongBench performance.
no code implementations • 4 Dec 2024 • Xinru Yu, Bin Guo, Shiwei Luo, Jie Wang, Tao Ji, Yuanbin Wu
For the BabyLM Challenge 2024, we propose a novel language modeling paradigm named $\textbf{AntLM}$, which integrates both CLM and MLM to leverage the advantages of these two classic paradigms.
no code implementations • 1 Dec 2024 • Yuzhan Wang, Sicong Liu, Bin Guo, Boqi Zhang, Ke Ma, Yasan Ding, Hao Luo, Yao Li, Zhiwen Yu
However, the \textit{dynamic} and \textit{diverse} deployment contexts of mobile devices pose significant challenges.
no code implementations • 26 Nov 2024 • Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao
To achieve this, we introduce a hierarchical user preference modeling framework that organizes user representations by the neural network encoder's depth, allowing separate treatment of shallow and deeper subspaces.
no code implementations • 15 Nov 2024 • Xujun Wei, Feng Zhang, Renhe Zhang, Wenwen Li, Cuiping Liu, Bin Guo, Jingwei Li, Haoyang Fu, Xu Tang
Unlike existing data-driven weather forecasting models, DaYu is specifically designed for geostationary satellite observations, with a temporal resolution of 0. 5 hours and a spatial resolution of ${0. 05}^\circ$ $\times$ ${0. 05}^\circ$.
no code implementations • 31 Oct 2024 • Fenmin Wu, Sicong Liu, Kehao Zhu, Xiaochen Li, Bin Guo, Zhiwen Yu, Hongkai Wen, Xiangrui Xu, Lehao Wang, Xiangyu Liu
In response, we present a shift to \textit{opportunistic} inference for asynchronous distributed multi-modal data, enabling inference as soon as partial data arrives.
no code implementations • 25 Oct 2024 • Haoyu Bian, Bin Guo, Sicong Liu, Yasan Ding, Shanshan Gao, Zhiwen Yu
Ubiquitous on-device heart rate sensing is vital for high-stress individuals and chronic patients.
no code implementations • 10 Oct 2024 • Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu
AdaShadow addresses these challenges with a backpropagation-free assessor to rapidly identify critical layers, a unit-based runtime predictor to account for resource dynamics in latency estimation, and an online scheduler for prompt layer update planning.
1 code implementation • 13 Aug 2024 • Ruihuai Liang, Bo Yang, Zhiwen Yu, Bin Guo, Xuelin Cao, Mérouane Debbah, H. Vincent Poor, Chau Yuen
In summary, we demonstrate the potential of generative diffusion models in tackling complex network optimization problems and outline a promising path for their broader application in the communication community.
1 code implementation • 10 Jul 2024 • Pujiang He, Shan Zhou, Wenhuan Huang, Changqing Li, Duyi Wang, Bin Guo, Chen Meng, Sheng Gui, Weifei Yu, Yi Xie
Large language models (LLMs) have shown exceptional performance and vast potential across diverse tasks.
no code implementations • 9 Jul 2024 • Yan Liu, Bin Guo, Nuo Li, Yasan Ding, Zhouyangzi Zhang, Zhiwen Yu
Knowledge transfer is an effective method to enhance learning performance by avoiding the exorbitant costs associated with data recollection and model retraining.
1 code implementation • 27 May 2024 • Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen
Video Anomaly Detection (VAD) systems can autonomously monitor and identify disturbances, reducing the need for manual labor and associated costs.
no code implementations • 3 May 2024 • Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu
There is a growing demand to deploy computation-intensive deep learning (DL) models on resource-constrained mobile devices for real-time intelligent applications.
no code implementations • 6 Apr 2024 • Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Such a failure may overlook the conditionality between two domains and how it contributes to latent factor disentanglement, leading to negative transfer when domains are weakly correlated.
no code implementations • 7 Feb 2024 • Mengqi Chen, Bin Guo, Hao Wang, Haoyu Li, Qian Zhao, Jingqi Liu, Yasan Ding, Yan Pan, Zhiwen Yu
To depict the research trends of CogAgent, in this paper, we first present several fundamental cognitive psychology theories and give the formalized definition of three typical cognitive strategies, including the persuasion strategy, the topic path planning strategy, and the argument structure prediction strategy.
no code implementations • 7 Nov 2023 • Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan, Bin Guo, Chau Yuen
Nevertheless, existing MARL algorithms ignore effective information aggregation which is fundamental for improving the learning capacity of decentralized agents.
no code implementations • 11 Oct 2023 • Changan Yang, Yaxing Chen, Yao Zhang, Helei Cui, Zhiwen Yu, Bin Guo, Zheng Yan, Zijiang Yang
Although federated learning (FL) is a promising tool to solve the problem, adapting conventional FL frameworks to VCI is nontrivial.
no code implementations • 27 Sep 2023 • Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu
Accordingly, the accuracy and responsiveness of DL models are bounded by resource availability.
no code implementations • 4 Sep 2023 • Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Next, we aim to build distributional implicit matchings between the domain-level preferences of two domains.
no code implementations • 21 Aug 2023 • Lei Han, Chunyu Tu, Zhiwen Yu, Zhiyong Yu, Weihua Shan, Liang Wang, Bin Guo
In this paper, we explicitly address the route planning for a group of agents, including UAVs, workers, and cars, with the goal of maximizing the task completion rate.
no code implementations • 13 Jun 2023 • Xu Han, Bin Guo, Yoon Jung, Benjamin Yao, Yu Zhang, Xiaohu Liu, Chenlei Guo
Personalized dialogue agents (DAs) powered by large pre-trained language models (PLMs) often rely on explicit persona descriptions to maintain personality consistency.
no code implementations • 23 Mar 2023 • En Xu, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao
This work investigates such predictability by studying the degree of regularity from a specific set of user behavior data.
no code implementations • 29 Nov 2022 • Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu
We report extensive experiments on diverse datasets, scenarios, and platforms and demonstrate the superiority of AdaEnlight compared with state-of-the-art low-light image and video enhancement solutions.
no code implementations • 11 Nov 2022 • Yunpeng Zhao, Fugen Zhou, Bin Guo, Bo Liu
The proposed spatial temporal graph convolution block directly exploits BOLD time series as input features, which provides an interesting view for rsfMRI-based preclinical AD diagnosis.
no code implementations • 9 Aug 2022 • Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
In this study, we address these concerns by learning (1) multi-scale representations of short-term interests; and (2) dynamics-aware representations of long-term interests.
no code implementations • 2 Jul 2022 • Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in the era of artificial intelligence.
no code implementations • 11 Oct 2021 • Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu
On the one hand, we model the rich correlations between the users' diverse behaviors (e. g., answer, follow, vote) to obtain the individual-level behavior interaction.
1 code implementation • 11 Oct 2021 • Bin Guo, Lynn E. Eberly, Pierre-Gilles Henry, Christophe Lenglet, Eric F. Lock
We conducted extensive simulation studies, showing that our model is robust to the degree of sparsity and improves classification accuracy when the data have multiway structure.
no code implementations • 18 Aug 2021 • Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu
To address these issues, we propose DeepExpress - a deep-learning based express delivery sequence prediction model, which extends the classic seq2seq framework to learning complex coupling between sequence and features.
no code implementations • 16 Aug 2021 • Jiahui Cheng, Bin Guo, Jiaqi Liu, Sicong Liu, Guangzhi Wu, Yueqi Sun, Zhiwen Yu
To solve the imbalanced distribution problem, in this paper we propose TL-SDD: a novel Transfer Learning-based method for Surface Defect Detection.
no code implementations • 28 Jan 2021 • Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du
There are many deep learning (e. g., DNN) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of human lives.
no code implementations • 2 Mar 2020 • Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu
Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life.
no code implementations • 21 Jan 2020 • Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
In this study, we present a survey of the state-of-the-art deep learning methods for sensor-based human activity recognition.
no code implementations • 9 Sep 2019 • Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
We first give a brief review of the literature history of MID, based on which we present several new research challenges and techniques of it, including early detection, detection by multimodal data fusion, and explanatory detection.
no code implementations • 8 Sep 2019 • Bin Guo, Hao Wang, Yasan Ding, Wei Wu, Shaoyang Hao, Yueqi Sun, Zhiwen Yu
In recent years, with the development of deep learning, text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication.
no code implementations • 7 Aug 2019 • Bin Guo, Huihui Chen, Yan Liu, Chao Chen, Qi Han, Zhiwen Yu
A generic model for CrowdMining is further proposed based on a set of existing studies.
no code implementations • 24 May 2019 • Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu
In fact, user's behaviors from different domains regarding the same items are usually relevant.
no code implementations • 22 May 2019 • Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
And the multiple agents in the proposed model represent activities with collective motions across body parts by independently selecting modalities associated with single motions.
no code implementations • 1 May 2019 • Qiuyun Zhang, Bin Guo, Hao Wang, Yunji Liang, Shaoyang Hao, Zhiwen Yu
In the last two decades, the landscape of text generation has undergone tremendous changes and is being reshaped by the success of deep learning.
no code implementations • 5 Aug 2018 • Leye Wang, Bin Guo, Qiang Yang
To address this problem, transfer learning can be leveraged to accelerate the smart city development, which we term the urban transfer learning paradigm.
1 code implementation • https://dl.acm.org/doi/10.1145/3161411 2018 • Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu
To solve the cold-start problem, we propose CityTransfer, which transfers chain store knowledge from semantically-relevant domains (e. g., other cities with rich knowledge, similar chain enterprises in the target city) for chain store placement recommendation in a new city.
no code implementations • Proceedings of the Royal Society A 2017 • Shuyi Zhang, Bin Guo, Anlan Dong, Jing He, Ziping Xu, Song Xi Chen
While this statistic offered some relief for the inhabitants of the capital, we present several analyses based on Beijing's PM2. 5 data of the past 4 years at 36 monitoring sites along with meteorological data of the past 7 years.