no code implementations • NAACL 2022 • Jiahao Cao, Rui Liu, Huailiang Peng, Lei Jiang, Xu Bai
Then we propose a differential sentiment loss instead of the cross-entropy loss to better classify the sentiments by distinguishing the different distances between sentiments.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
no code implementations • COLING 2022 • Shaokang Zhang, Lei Jiang, Jianlong Tan
In this paper, we propose the dynamic nonlinear mixup with distance-based sample selection, which not only generates multiple sample pairs based on the distance between each sample but also enlarges the space of synthetic samples.
1 code implementation • 22 Mar 2024 • Lei Jiang, Weixin Yang, Xin Zhang, Hao Ni
Skeleton-based action recognition (SAR) in videos is an important but challenging task in computer vision.
no code implementations • 16 Mar 2024 • Ahmad Faiz, Shahzeen Attari, Gayle Buck, Fan Chen, Lei Jiang
To improve privacy and ensure quality-of-service (QoS), deep learning (DL) models are increasingly deployed on Internet of Things (IoT) devices for data processing, significantly increasing the carbon footprint associated with DL on IoT, covering both operational and embodied aspects.
1 code implementation • 18 Dec 2023 • Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
Aspect Sentiment Triplet Extraction (ASTE) is an emerging task to extract a given sentence's triplets, which consist of aspects, opinions, and sentiments.
no code implementations • 16 Dec 2023 • Mengxin Zheng, Jiaqi Xue, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang
TrojFair is a stealthy Fairness attack that is resilient to existing model fairness audition detectors since the model for clean inputs is fair.
no code implementations • 16 Dec 2023 • Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
However, the security issues, e. g., Trojan attacks, of prompt tuning on a few data samples are not well-studied.
1 code implementation • 20 Nov 2023 • Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao
Segment Anything Model (SAM) has achieved impressive results for natural image segmentation with input prompts such as points and bounding boxes.
1 code implementation • 30 Oct 2023 • Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
While in our observation, compared to the rarity of classes, the calibrated uncertainty estimated from well-trained evidential deep learning networks better reflects model performance.
1 code implementation • 25 Sep 2023 • Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, Fan Chen, Lei Jiang
The carbon footprint associated with large language models (LLMs) is a significant concern, encompassing emissions from their training, inference, experimentation, and storage processes, including operational and embodied carbon emissions.
3 code implementations • 30 Aug 2023 • Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao
To bridge this gap, we introduce SAM-Med2D, the most comprehensive studies on applying SAM to medical 2D images.
no code implementations • 16 Mar 2023 • Mengxin Zheng, Jiaqi Xue, ZiHao Wang, Xun Chen, Qian Lou, Lei Jiang, XiaoFeng Wang
We evaluated SSL-Cleanse on various datasets using 1200 encoders, achieving an average detection success rate of 82. 2% on ImageNet-100.
no code implementations • 5 Mar 2023 • Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu
Prediction beyond partial observations is crucial for robots to navigate in unknown environments because it can provide extra information regarding the surroundings beyond the current sensing range or resolution.
1 code implementation • 27 Feb 2023 • Xiaoshu Chen, Xiangsheng Li, Kunliang Wei, Bin Hu, Lei Jiang, Zeqian Huang, Zhanhui Kang
Eliminating examination bias accurately is pivotal to apply click-through data to train an unbiased ranking model.
1 code implementation • 27 Feb 2023 • Xiangsheng Li, Xiaoshu Chen, Kunliang Wei, Bin Hu, Lei Jiang, Zeqian Huang, Zhanhui Kang
Pre-trained language models have achieved great success in various large-scale information retrieval tasks.
no code implementations • 16 Feb 2023 • Cheng Chu, Lei Jiang, Martin Swany, Fan Chen
We propose a circuit-level backdoor attack, \textit{QTrojan}, against Quantum Neural Networks (QNNs) in this paper.
1 code implementation • 4 Sep 2022 • Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
Integrating multiple online social networks (OSNs) has important implications for many downstream social mining tasks, such as user preference modelling, recommendation, and link prediction.
1 code implementation • CVPR 2023 • Mengxin Zheng, Qian Lou, Lei Jiang
The success of ViTs motivates adversaries to perform backdoor attacks on ViTs.
no code implementations • Knowledge-Based Systems 2022 • Changan Yi, Haotian Chen, Yonghui Xu, Yong liu, Lei Jiang, Haishu Tan
Accordingly, ATPL will use the pseudo-labeled information to improve the adversarial training process, which can guarantee the feature transferability by generating adversarial data to fill in the domain gap.
no code implementations • 14 Aug 2022 • Lei Jiang, Yongqing Liu, Shihai Xiao, Yansong Chua
Furthermore, we demonstrate analytically how lateral inhibition in artificial neural networks improves the quality of propagated gradients.
1 code implementation • 14 Jun 2022 • Arash Asadian, Evan Weidner, Lei Jiang
When facing the lack of public datasets, we show the features generated by SSP on only one single image enable a private classifier to obtain much better utility than the non-learned handcrafted features under the same privacy budget.
no code implementations • 24 May 2022 • Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu
To incorporate temporal information into the message passing scheme, we introduce a novel temporal-aware aggregator which assigns weights to neighbours according to an adaptive time exponential decay formula.
no code implementations • 3 May 2022 • Yunzheng Su, Lei Jiang, Jie Cao
In recent years, with the development of computing resources and LiDAR, point cloud semantic segmentation has attracted many researchers.
1 code implementation • 6 Aug 2021 • Jiaqian Ren, Hao Peng, Lei Jiang, Jia Wu, Yongxin Tong, Lihong Wang, Xu Bai, Bo wang, Qiang Yang
Experiments on both synthetic and real-world datasets show the framework to be highly effective at detection in both multilingual data and in languages where training samples are scarce.
no code implementations • 31 May 2021 • Qian Lou, Lei Jiang
Recently Homomorphic Encryption (HE) is used to implement Privacy-Preserving Neural Networks (PPNNs) that perform inferences directly on encrypted data without decryption.
no code implementations • ICLR 2021 • Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
A cryptographic neural network inference service is an efficient way to allow two parties to execute neural network inference without revealing either party’s data or model.
no code implementations • NeurIPS 2020 • Qian Lou, Wen-jie Lu, Cheng Hong, Lei Jiang
We observed that HENNs have to pay significant computing overhead on rotations, and each of rotations is $\sim 10\times$ more expensive than homomorphic multiplications between ciphertext and plaintext.
no code implementations • EMNLP 2021 • Bo Feng, Qian Lou, Lei Jiang, Geoffrey C. Fox
Although prior secure networks combine homomorphic encryption (HE) and garbled circuit (GC) to preserve users' privacy, naively adopting the HE and GC hybrid technique to implement RNNs suffers from long inference latency due to slow activation functions.
no code implementations • 4 Aug 2020 • Qian Lou, Sarath Janga, Lei Jiang
From architecture perspective, we propose a low-power SOT-MRAM-based ADC array to process analog-to-digital conversion operations and improve power efficiency of prior DNN PIMs.
1 code implementation • 1 Jul 2020 • Lei Jiang, Haijian Zhang, Lei Yu, Guang Hua
To break the current limitation, we propose a data-driven kernel learning model directly based on Wigner-Ville distribution (WVD).
no code implementations • NeurIPS 2020 • Qian Lou, Song Bian, Lei Jiang
Prior HPPNNs over-pessimistically select huge HE parameters to maintain large noise budgets, since they use the same set of HE parameters for an entire network and ignore the error tolerance capability of a network.
no code implementations • 30 Apr 2020 • Lei Jiang, Haijian Zhang, Lei Yu
Time-frequency distributions (TFDs) play a vital role in providing descriptive analysis of non-stationary signals involved in realistic scenarios.
1 code implementation • 20 Feb 2020 • Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao
Experimental results on glomeruli segmentation from renal biopsy images indicate that our network is able to improve segmentation performance on target type of stained images and use unlabeled data to achieve similar accuracy to labeled data.
no code implementations • NeurIPS 2020 • Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang
Big data is one of the cornerstones to enabling and training deep neural networks (DNNs).
no code implementations • CONLL 2019 • Chaodong Tong, Huailiang Peng, Qiong Dai, Lei Jiang, Jianghua Huang
We propose a method called reverse mapping bytepair encoding, which maps named-entity information and other word-level linguistic features back to subwords during the encoding procedure of bytepair encoding (BPE).
1 code implementation • NeurIPS 2019 • Qian Lou, Lei Jiang
Since the LTFHE ReLU activations, max poolings, shifts and accumulations have small multiplicative depth overhead, SHE can implement much deeper network architectures with more convolutional and activation layers.
no code implementations • ICLR 2020 • Qian Lou, Feng Guo, Lantao Liu, Minje Kim, Lei Jiang
Recent network quantization techniques quantize each weight kernel in a convolutional layer independently for higher inference accuracy, since the weight kernels in a layer exhibit different variances and hence have different amounts of redundancy.
no code implementations • 13 Nov 2018 • Lei Jiang, Xiao-Jun Wu, Josef Kittler
Our method solves the problem of face reconstruction of a single image of a traditional method in a large pose, works on arbitrary Pose and Expressions, greatly improves the accuracy of reconstruction.
no code implementations • 14 Mar 2018 • Tao Liu, Lei Jiang, Yier Jin, Gang Quan, Wujie Wen
One of the most exciting advancements in AI over the last decade is the wide adoption of ANNs, such as DNN and CNN, in many real-world applications.
no code implementations • 14 Mar 2018 • Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan
To reduce the data storage and transfer overhead in smart resource-limited Internet-of-Thing (IoT) systems, effective data compression is a "must-have" feature before transferring real-time produced dataset for training or classification.