2 code implementations • 15 Mar 2024 • Zhiqi Li, Yiming Chen, Lingzhe Zhao, Peidong Liu
Building upon our MVControl architecture, we employ a unique hybrid diffusion guidance method to direct the optimization process.
1 code implementation • 24 Dec 2023 • Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li
Yet, existing works on utilizing LLMs for automatic dialogue evaluation are limited in their scope in terms of the number of meta-evaluation datasets, mode of evaluation, coverage of LLMs, etc.
1 code implementation • 20 Dec 2023 • Yiming Chen, Haiwei Wu, Jiantao Zhou
Extensive experiments on multiple benchmark datasets and DNN models, assessed against nine state-of-the-art backdoor attacks, demonstrate the superior performance of our PIPD method for backdoor defense.
no code implementations • 27 Nov 2023 • Yiming Chen, Zhiqi Li, Peidong Liu
The main insight is that we exploit the images generated by a large pre-trained text-to-image diffusion model, to supervise the training of a text conditioned 3D generative adversarial network.
1 code implementation • 24 Nov 2023 • Zhiqi Li, Yiming Chen, Lingzhe Zhao, Peidong Liu
Our approach enables the generation of controllable multi-view images and view-consistent 3D content.
1 code implementation • 18 Aug 2023 • Haiwei Wu, Yiming Chen, Jiantao Zhou
To resolve this dilemma, we propose the FOrensic ContrAstive cLustering (FOCAL) method, a novel, simple yet very effective paradigm based on contrastive learning and unsupervised clustering for the image forgery detection.
no code implementations • 6 Jul 2023 • Dengfeng Wang, Liukai Xu, Songyuan Liu, Zhi Li, Yiming Chen, Weifeng He, Xueqing Li, Yanan sun
Accommodating all the weights on-chip for large-scale NNs remains a great challenge for SRAM based computing-in-memory (SRAM-CIM) with limited on-chip capacity.
no code implementations • 24 May 2023 • Yiming Chen, Sihui Wang, Dong Xu
The knowledge of the unique characteristics of the population with atrial fibrillation detected after stroke (AFDAS) enables more ischemic stroke patients to benefit from more aggressive anticoagulation therapy and AF management.
no code implementations • 23 May 2023 • Danqing Luo, Chen Zhang, Jiahui Xu, Bin Wang, Yiming Chen, Yan Zhang, Haizhou Li
To achieve this, we treat the black-box model as a feature extractor and train a classifier with the augmented text data.
1 code implementation • 20 May 2023 • Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li
Despite much success in natural language processing (NLP), pre-trained language models typically lead to a high computational cost during inference.
no code implementations • 12 May 2023 • Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
In this paper, we investigate the performance limit of distributed stochastic optimization algorithms employing communication compression.
no code implementations • 23 Nov 2022 • Guodong Yin, Mufeng Zhou, Yiming Chen, Wenjun Tang, Zekun Yang, Mingyen Lee, Xirui Du, Jinshan Yue, Jiaxin Liu, Huazhong Yang, Yongpan Liu, Xueqing Li
Performing data-intensive tasks in the von Neumann architecture is challenging to achieve both high performance and power efficiency due to the memory wall bottleneck.
no code implementations • 31 Oct 2022 • Tongyue He, Yiming Chen, Junxin Chen, Wei Wang, Yicong Zhou
This paper presents a fused deep learning algorithm for ECG classification.
1 code implementation • 30 Oct 2022 • Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li
Most sentence embedding techniques heavily rely on expensive human-annotated sentence pairs as the supervised signals.
1 code implementation • 21 Oct 2022 • Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li
The factual correctness of summaries has the highest priority before practical applications.
no code implementations • 14 Oct 2022 • Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan
While (Lu and Sa, 2021) have recently provided an optimal rate for non-convex stochastic decentralized optimization with weight matrices defined over linear graphs, the optimal rate with general weight matrices remains unclear.
no code implementations • 8 Jun 2022 • Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
We establish a convergence lower bound for algorithms whether using unbiased or contractive compressors in unidirection or bidirection.
2 code implementations • 8 Nov 2021 • Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
On mainstream DNN training tasks, BlueFog reaches a much higher throughput and achieves an overall $1. 2\times \sim 1. 8\times$ speedup over Horovod, a state-of-the-art distributed deep learning package based on Ring-Allreduce.
2 code implementations • NeurIPS 2021 • Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
Experimental results on a variety of tasks and models demonstrate that decentralized (momentum) SGD over exponential graphs promises both fast and high-quality training.
no code implementations • 5 Oct 2021 • Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Thomas Friedrichs, Haizhou Li
Yet, the impact of different Pr-LMs on the performance of automatic metrics is not well-understood.
1 code implementation • EMNLP 2021 • Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li
In this work, we revisit the self-training technique for language model fine-tuning and present a state-of-the-art prompt-based few-shot learner, SFLM.
no code implementations • 29 Sep 2021 • Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Yingya Zhang, Pan Pan, Wotao Yin
Decentralized adaptive gradient methods, in which each node averages only with its neighbors, are critical to save communication and wall-clock training time in deep learning tasks.
2 code implementations • ICCV 2021 • Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis
In compact CNNs, due to the limited number of parameters, abundant features are unlikely to be obtained, and feature diversity becomes an essential characteristic.
Ranked #819 on Image Classification on ImageNet
1 code implementation • ACL 2021 • Chen Zhang, Yiming Chen, Luis Fernando D'Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li
Effective evaluation metrics should reflect the dynamics of such interaction.
no code implementations • 19 May 2021 • Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
Communication overhead hinders the scalability of large-scale distributed training.
1 code implementation • ICCV 2021 • Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
Experimental results on a variety of computer vision tasks and models demonstrate that DecentLaM promises both efficient and high-quality training.
no code implementations • 26 Mar 2021 • Ming Zhang, Mingming Zhang, Yiming Chen, Mingyang Li
In this work, we propose a novel method for performing inertial aided navigation, by using deep neural networks (DNNs).
no code implementations • 16 Mar 2021 • Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
In contrast, we advocate that the gradients across the nodes are correlated and propose methods to leverage this inter-node redundancy to improve compression efficiency.
no code implementations • 9 Feb 2021 • Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin
In the last decades, extreme classification has become an essential topic for deep learning.
no code implementations • 31 Jul 2020 • Yiming Chen, Victor Gorbenko, Juan Maldacena
The most promising one also leads to a divergent temperature but by making a projection onto low energy states we find that it has features that look similar to the previous Euclidean case.
High Energy Physics - Theory General Relativity and Quantum Cosmology
no code implementations • 13 Nov 2019 • Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong liu, Guoquan Huang, Mingyang Li
While visual localization or SLAM has witnessed great progress in past decades, when deploying it on a mobile robot in practice, few works have explicitly considered the kinematic (or dynamic) constraints of the real robotic system when designing state estimators.
no code implementations • 8 Sep 2019 • Mingming Zhang, Xingxing Zuo, Yiming Chen, Yong liu, Mingyang Li
In this paper, we focus on motion estimation dedicated for non-holonomic ground robots, by probabilistically fusing measurements from the wheel odometer and exteroceptive sensors.
no code implementations • 22 Apr 2019 • Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Xinghui Zhu, Weiyang Wang
Multi-face alignment aims to identify geometry structures of multiple faces in an image, and its performance is essential for the many practical tasks, such as face recognition, face tracking, and face animation.
no code implementations • 6 Nov 2017 • Chen Zheng, Kiran Mathew, Chi Chen, Yiming Chen, Hanmei Tang, Alan Dozier, Joshua J. Kas, Fernando D. Vila, John J. Rehr, Louis F. J. Piper, Kristin Persson, Shyue Ping Ong
We report the development of XASdb, a large database of computed reference X-ray absorption spectra (XAS), and a novel Ensemble-Learned Spectra IdEntification (ELSIE) algorithm for the matching of spectra.
Materials Science