no code implementations • 25 Mar 2024 • Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu Ming Zhang, Xiaowei Ma, Xiangguo Lyu, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
Applying such paradigm, we construct an evaluation benchmark in the field of urology, including a LCP, a SPs dataset, and an automated RAE.
no code implementations • 16 Feb 2024 • Xinyu Wang, Kang Chen, Lei Liu, Tao Han, Bin Li, Lei Bai
Accurate forecasting of Tropical cyclone (TC) intensity is crucial for formulating disaster risk reduction strategies.
no code implementations • 31 Jan 2024 • Lei Liu, Li Liu, Haizhou Li
Cued Speech (CS) is a pure visual coding method used by hearing-impaired people that combines lip reading with several specific hand shapes to make the spoken language visible.
no code implementations • 25 Jan 2024 • Lei Liu, Shuo Yu, Runze Wang, Zhenxun Ma, Yanming Shen
We tackle the data mismatch by proposing: 1) STG-Tokenizer: This spatial-temporal graph tokenizer transforms intricate graph data into concise tokens capturing both spatial and temporal relationships; 2) STG-Adapter: This minimalistic adapter, consisting of linear encoding and decoding layers, bridges the gap between tokenized data and LLM comprehension.
no code implementations • 7 Jan 2024 • Zirui Chen, Zhaoyang Zhang, Zhaohui Yang, Lei Liu
For such a channel mapping task, inspired by the intrinsic coupling across the space and frequency domains, this letter proposes to use interleaved learning with partial antenna and subcarrier characteristics to represent the whole MIMO-OFDM channel.
1 code implementation • 22 Dec 2023 • Lei Liu, Mengya Zhang, Cheng Li, Chenglong Li, Jin Tang
Visual tracking often faces challenges such as invalid targets and decreased performance in low-light conditions when relying solely on RGB image sequences.
1 code implementation • 22 Dec 2023 • Lei Liu, Chenglong Li, Futian Wang, Longfeng Shen, Jin Tang
In particular, we design a multi-modal prototype to represent target information by multi-kind samples, including a fixed sample from the first frame and two representative samples from different modalities.
no code implementations • 19 Dec 2023 • Xiyuan Jin, Jing Wang, Lei Liu, Youfang Lin
As an exemplary self-supervised approach for representation learning, time-series contrastive learning has exhibited remarkable advancements in contemporary research.
1 code implementation • 15 Dec 2023 • Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang
We introduce RJUA-QA, a novel medical dataset for question answering (QA) and reasoning with clinical evidence, contributing to bridge the gap between general large language models (LLMs) and medical-specific LLM applications.
1 code implementation • 12 Dec 2023 • Jian Zhu, Yu Cui, Zhangmin Huang, Xingyu Li, Lei Liu, Lingfang Zeng, Li-Rong Dai
Furthermore, an adaptive confidence multi-view network is employed to measure the confidence of each view and then fuse multi-view features through a weighted summation.
no code implementations • 2 Dec 2023 • Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang Ant Group
(3) Specifically for multi-choice questions in the medical domain, we propose a novel Verification-of-Choice approach for prompting engineering, which significantly enhances the reasoning ability of LLMs.
no code implementations • 23 Nov 2023 • Yueqi Zeng, Ziqiang Li, Pengfei Xia, Lei Liu, Bin Li
With the boom in the natural language processing (NLP) field these years, backdoor attacks pose immense threats against deep neural network models.
1 code implementation • 17 Nov 2023 • Xiaoqiong Xia, Chaoyu Zhu, Yuqi Shan, Fan Zhong, Lei Liu
Although many models have been developed to utilize the representations of drugs and cancer cell lines for predicting cancer drug responses (CDR), their performances can be improved by addressing issues such as insufficient data modality, suboptimal fusion algorithms, and poor generalizability for novel drugs or cell lines.
no code implementations • 15 Nov 2023 • Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
Memory-augmented Large Language Models (LLMs) have demonstrated remarkable performance in long-term human-machine interactions, which basically relies on iterative recalling and reasoning of history to generate high-quality responses.
no code implementations • 24 Aug 2023 • Bin Li, Rongrong Yang, Lei Liu, Junyi Wang, Ning Zhang, Mianxiong Dong
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks.
1 code implementation • 5 Jul 2023 • Zheheng Luo, Lei Liu, Qianqian Xie, Sophia Ananiadou
Based on it, we propose the graph contrastive topic model (GCTM), which conducts graph contrastive learning (GCL) using informative positive and negative samples that are generated by the graph-based sampling strategy leveraging in-depth correlation and irrelevance among documents and words.
1 code implementation • 28 May 2023 • Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
To address the challenge posed by BadLabel, we further propose a robust LNL method that perturbs the labels in an adversarial manner at each epoch to make the loss values of clean and noisy labels again distinguishable.
1 code implementation • 12 May 2023 • Lei Liu, Jimmy Xiangji Huang
Dialogue systems for non-English languages have long been under-explored.
no code implementations • 15 Mar 2023 • Yao Ge, Lei Liu, Shunqi Huang, David González G., Yong Liang Guan, Zhi Ding
Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems.
no code implementations • 3 Mar 2023 • Wentao Lei, Lei Liu, Li Liu
Experiments on two medical image datasets (i. e., ISIC 2018 challenge and ChestX-ray14) show that our method outperforms state-of-the-art SSL methods.
no code implementations • 15 Feb 2023 • Binghe An, Bo wang, Huijin Fan, Lei Liu, Yongji Wang
The time-varying output formation tracking for the heterogeneous multi-agent systems (MAS) is investigated in this paper.
no code implementations • 27 Jan 2023 • Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai
However, the ideal type of data to contextualize pre-trained language model and improve the performance in automatically scoring student written responses remains unclear.
1 code implementation • ICCV 2023 • Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu
In particular, a proxy is derived from the accumulated gradients uploaded by the clients after local training, and is shared by all clients as the class prior for re-balance training.
no code implementations • 20 Dec 2022 • Shunqi Huang, Lei Liu, Brian M. Kurkoski
Damping is commonly employed to ensure the convergence of iterative algorithms.
no code implementations • 9 Dec 2022 • Lei Liu, Javier E. Santos, Maša Prodanović, Michael J. Pyrcz
However, there is a paucity of demonstrated best practice and general guidance on mitigation of spatial nonstationarity with deep learning in the geospatial context.
no code implementations • 2 Dec 2022 • Lei Liu, Li Liu
To our knowledge, this is the first work on ACSR for Mandarin Chinese.
no code implementations • 17 Nov 2022 • Yiyue Hu, Lei Zhang, Nan Mu, Lei Liu
To this end, we propose a parameter-efficient transformer to explore intrinsic inductive bias via position information for medical image segmentation.
no code implementations • 12 Sep 2022 • Zhiyuan Yan, Peng Sun, Yubo Lang, Shuo Du, Shanzhuo Zhang, Wei Wang, Lei Liu
We evaluate the effectiveness of our method through extensive experiments on widely-used benchmarks and demonstrate that our method outperforms the state-of-the-art detectors in terms of generalization ability and robustness against unknown disturbances.
no code implementations • 6 Sep 2022 • Guangrong Zhao, Yiran Shen, Ning Chen, Pengfei Hu, Lei Liu, Hongkai Wen
By designing a series of signal processing algorithms bespoke for dynamic vision sensing on mobile devices, EV-Tach is able to extract the rotational speed accurately from the event stream produced by dynamic vision sensing on rotary targets.
1 code implementation • 3 Sep 2022 • Yuxue Cao, Shengjie Wang, Xiang Zheng, Wenke Ma, Xinru Xie, Lei Liu
However, due to the increase in planning dimension and the intensification of system dynamics coupling, the motion planning of dual-arm free-floating space robots remains an open challenge.
no code implementations • 23 Jun 2022 • Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems.
no code implementations • 23 Jun 2022 • Lei Liu, Shansuo Liang, Li Ping
Under the assumptions that the state evolution for joint OAMP and FEC decoding is correct and the replica method is reliable, we analyze the achievable rate of OAMP.
1 code implementation • AutoML'2022 2022 • Mehdi Bahrami, Wei-Peng Chen, Lei Liu, Mukul Prasad
One of the common data pre-processing operations implemented in AutoML systems is to encode categorical features as numerical features.
Ranked #1 on AutoML on OrdinalDataset
1 code implementation • 17 Mar 2022 • Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Lei Liu, Xiaoyan Zhu, Minlie Huang
Large-scale pre-training has shown remarkable performance in building open-domain dialogue systems.
no code implementations • 3 Feb 2022 • Peiying Zhang, Chao Wang, Neeraj Kumar, Lei Liu
Based on virtual network architecture and deep reinforcement learning (DRL), we model SAGIN's heterogeneous resource orchestration as a multi-domain virtual network embedding (VNE) problem, and propose a SAGIN cross-domain VNE algorithm.
no code implementations • 3 Feb 2022 • Peiying Zhang, Chao Wang, Neeraj Kumar, Weishan Zhang, Lei Liu
Simulation experiments verified that the dynamic VNE algorithm based on RL and GCNN has good basic VNE characteristics.
2 code implementations • AAAI2022 2022 • Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang
RGBT tracking usually suffers from various challenging factors of fast motion, scale variation, illumination variation, thermal crossover and occlusion, to name a few.
Ranked #5 on Rgb-T Tracking on GTOT
1 code implementation • CVPR 2022 • Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng
The industry practice for night video surveillance is to use auxiliary near-infrared (NIR) LED diodes, usually centered at 850nm or 940nm, for scene illumination.
no code implementations • 31 Dec 2021 • Lei Liu, Shunqi Huang, Yuzhi Yang, Zhaoyang Zhang, Brian M. Kurkoski
Given an arbitrary MAMP, we can construct an SS-MAMP by damping, which not only ensures the convergence of the state evolution, but also preserves the orthogonality, i. e., its dynamics can be correctly described by state evolution.
no code implementations • 8 Nov 2021 • Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai
To promote the research and development of cross-modal object tracking, we propose a new algorithm, which learns the modality-aware target representation to mitigate the appearance gap between RGB and NIR modalities in the tracking process.
no code implementations • 7 Nov 2021 • Yuanlin Yang, Guoxian Yu, Jun Wang, Lei Liu, Carlotta Domeniconi, Maozu Guo
Multi-Instance Multi-Label learning (MIML) models complex objects (bags), each of which is associated with a set of interrelated labels and composed with a set of instances.
no code implementations • 7 Nov 2021 • Runmin Wang, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
Cross-modal hashing (CMH) is one of the most promising methods in cross-modal approximate nearest neighbor search.
no code implementations • 7 Nov 2021 • Guangyang Han, Guoxian Yu, Lei Liu, Lizhen Cui, Carlotta Domeniconi, Xiangliang Zhang
First, OSCrowd integrates crowd theme related datasets into a large source domain to facilitate partial transfer learning to approximate the label space inference of these tasks.
1 code implementation • 16 Oct 2021 • Mehdi Bahrami, N. C. Shrikanth, Yuji Mizobuchi, Lei Liu, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata
Code retrieval is allowing software engineers to search codes through a natural language query, which relies on both natural language processing and software engineering techniques.
no code implementations • Findings (ACL) 2021 • Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant.
1 code implementation • 8 Jul 2021 • Lei Liu, Li Liu
Specifically, we demonstrate that long-tailed recognition suffers from both sample number and category similarity.
no code implementations • 4 Jun 2021 • Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions.
1 code implementation • ACL 2021 • Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su
Knowledge bases (KBs) and text often contain complementary knowledge: KBs store structured knowledge that can support long range reasoning, while text stores more comprehensive and timely knowledge in an unstructured way.
no code implementations • 2 Jun 2021 • Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
Partial-label learning (PLL) generally focuses on inducing a noise-tolerant multi-class classifier by training on overly-annotated samples, each of which is annotated with a set of labels, but only one is the valid label.
no code implementations • 27 Apr 2021 • Md Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu
Moreover, we evaluate our proposed model on the live streaming data and find that our proposed system can be used for real-time anomaly detection in the industrial setup.
no code implementations • 1 Apr 2021 • Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng
The training of deep neural networks (DNNs) is usually memory-hungry due to the limited device memory capacity of DNN accelerators.
no code implementations • 23 Mar 2021 • Zhiqun Zhai, Hexun Jiang, Mengfan Fu, Lei Liu, Lilin Yi, Weisheng Hu, Qunbi Zhuge
In this paper, we propose a scheme that utilizes the optimization ability of artificial intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical filtering impairments caused by wavelength selective switches (WSS).
no code implementations • 9 Feb 2021 • Yanjie Hu, Jiaqi Feng, Xiangping Zhang, Hongshuai Gao, Saimeng Jin, Lei Liu, Weifeng Shen
This work provides a new strategy to design novel ILs for high efficiency electrochemical reduction of CO2 to CO.
Materials Science
no code implementations • 21 Jan 2021 • Xiaoqing Liu, XiaoJing Wang, Tianhao Yu, Weizhen Zhao, Lei Liu
Spatial distribution function (SDF) results show that toluene formed a continuum solvation shell, which hinders the interactions of (tBu)3P and B(C6F5)3 , while [Cnmim][NTf2] leave a relatively large empty space, which is accessible by (tBu3)P molecules, resulting in a higher probability of Lewis acids and bases interactions.
Chemical Physics
no code implementations • 25 Dec 2020 • Wenchao Zhai, Huimei Han, Lei Liu, Jun Zhao
In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where massive MTC (mMTC) devices and ultra-reliable low latency communications (URLLC) devices coexist.
no code implementations • 22 Dec 2020 • Yu Zheng, Duyu Chen, Lei Liu, Houlong Zhuang, Yang Jiao
We discover two distinct topological pathways through which the pentagonal Cairo tiling (P5), a structural model for single-layer $AB_2$ pyrite materials, respectively transforms into a crystalline rhombus-hexagon (C46) tiling and random rhombus-pentagon-hexagon (R456) tilings, by continuously introducing the Stone-Wales (SW) topological defects.
Soft Condensed Matter Disordered Systems and Neural Networks Materials Science
2 code implementations • 20 Dec 2020 • Lei Liu, Shunqi Huang, Brian M. Kurkoski
To asymptotically characterize the performance of BO-MAMP, a state evolution is derived.
no code implementations • 22 Nov 2020 • Bokai Zhang, Jian Li, Juan-mei Hu, Lei Liu
The dynamics of polymer-nanoparticle (NP) mixtures, which involves multiple scales and system-specific variables, has posed a long-standing challenge on its theoretical description.
Soft Condensed Matter
no code implementations • 30 Oct 2020 • Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng
The increasing computational cost of deep neural network models limits the applicability of intelligent applications on resource-constrained edge devices.
no code implementations • 9 Sep 2020 • Lei Liu, Wentao Lei, Yongfang Luo, Cheng Feng, Xiang Wan, Li Liu
Ultrasound (US) is a non-invasive yet effective medical diagnostic imaging technique for the COVID-19 global pandemic.
no code implementations • ECCV 2020 • Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang
RGB and thermal source data suffer from both shared and specific challenges, and how to explore and exploit them plays a critical role to represent the target appearance in RGBT tracking.
Ranked #8 on Rgb-T Tracking on GTOT
no code implementations • 11 Jun 2020 • Hongwei Zhao, Chengtao Peng, Lei Liu, Bin Li
To further prove the generalization property of the proposed method, we applied the trained model on the DRIONS-DB dataset for OD segmentation and on the MESSIDOR dataset for exudate segmentation.
no code implementations • 10 Apr 2020 • Xin Xu, Lei Liu, Weifeng Liu, Meng Wang, Ruimin Hu
To alleviate such a problem, we present an active hard sample mining framework via training an effective re-ID model with the least labeling efforts.
no code implementations • 9 Apr 2020 • Zhe Shen, Peng Sun, Yubo Lang, Lei Liu, Silong Peng
Therefore we present a novel optic-physical method to discriminate splicing edges from natural edges in a tampered image.
no code implementations • 19 Mar 2020 • Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
Accelerating deep convolutional neural networks has become an active topic and sparked an interest in academia and industry.
no code implementations • 16 Jan 2020 • Saeed Amirgholipour, Xiangjian He, Wenjing Jia, Dadong Wang, Lei Liu
For this purpose, a classifier evaluates the density level of the input features and then passes them to the corresponding high and low crowded DAD modules.
no code implementations • 26 Nov 2019 • Lei Liu
More importantly, we observe that there are "resource cliffs" in the scheduling exploration space.
no code implementations • 21 Oct 2019 • Jingwen Yan, Zixin Xie, Jingyao Chen, Yinan Liu, Lei Liu
Sparse model is widely used in hyperspectral image classification. However, different of sparsity and regularization parameters has great influence on the classification results. In this paper, a novel adaptive sparse deep network based on deep architecture is proposed, which can construct the optimal sparse representation and regularization parameters by deep network. Firstly, a data flow graph is designed to represent each update iteration based on Alternating Direction Method of Multipliers (ADMM) algorithm. Forward network and Back-Propagation network are deduced. All parameters are updated by gradient descent in Back-Propagation. Then we proposed an Adaptive Sparse Deep Network. Comparing with several traditional classifiers or other algorithm for sparse model, experiment results indicate that our method achieves great improvement in HSI classification.
no code implementations • 17 Apr 2019 • Lei Liu, Jie Jiang, Wenjing Jia, Saeed Amirgholipour, Michelle Zeibots, Xiangjian He
Counting people or objects with significantly varying scales and densities has attracted much interest from the research community and yet it remains an open problem.
no code implementations • 17 Jan 2019 • Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng
Background subtraction is a significant component of computer vision systems.
no code implementations • 16 Dec 2018 • Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
By analyzing the characteristics of layers in DNNs, an auto-tuning neural network quantization framework for collaborative inference is proposed.
1 code implementation • 21 Oct 2018 • Lei Liu, Wu Jiang, Weimin Zheng, Zhen Yan, Juan Zhang, Maoli Ma, Wentao Luo
The combination of cross spectrum based detection and the localization proposed in this work then provide a thorough solution for searching single pulse in VLBI observation.
Instrumentation and Methods for Astrophysics
no code implementations • 22 Aug 2018 • Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang
To address these issues, we study the problem of syntax-aware sequence generation with GANs, in which a collection of real sequences and a set of pre-defined grammatical rules are given to both discriminator and generator.
4 code implementations • 26 Nov 2017 • Lei Liu, Zongxu Pan, Bin Lei
The existing methods are not robust to angle varies of the objects because of the use of traditional bounding box, which is a rotation variant structure for locating rotated objects.
no code implementations • 14 Sep 2017 • Xiaogang Su, Annette T. Peña, Lei Liu, Richard A. Levine
Assessing heterogeneous treatment effects has become a growing interest in advancing precision medicine.
no code implementations • 13 Jun 2017 • Cong Chen, Shan-Shan Wang, Lei Liu, Zhi-Ming Yu, Xian-Lei Sheng, Ziyu Chen, Shengyuan A. Yang
Based on their formation mechanisms, Dirac points in three-dimensional systems can be classified as accidental or essential.
Materials Science