1 code implementation • 18 Apr 2024 • Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, Morteza Alavi, Chang Gao
Applied to a 160MHz-BW 1024-QAM OFDM signal from a digital RF PA, MP-DPD gives no performance loss against 32-bit floating-point precision DPDs, while achieving -43. 75 (L)/-45. 27 (R) dBc in Adjacent Channel Power Ratio (ACPR) and -38. 72 dB in Error Vector Magnitude (EVM).
no code implementations • 11 Apr 2024 • Ang Li, Anning Hu, Wei Xi, Wenxian Yu, Danping Zou
To address this issue, we propose a novel stereo-LiDAR depth estimation network with Semi-Dense hint Guidance, named SDG-Depth.
1 code implementation • 17 Mar 2024 • Fuqiang Niu, Min Yang, Ang Li, Baoquan Zhang, Xiaojiang Peng, BoWen Zhang
Previous stance detection studies typically concentrate on evaluating stances within individual instances, thereby exhibiting limitations in effectively modeling multi-party discussions concerning the same specific topic, as naturally transpire in authentic social media interactions.
no code implementations • 15 Mar 2024 • Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
Traditional analysis of highly distorted micro-X-ray diffraction ({\mu}-XRD) patterns from hydrothermal fluid environments is a time-consuming process, often requiring substantial data preprocessing and labeled experimental data.
no code implementations • 13 Mar 2024 • Ang Li, Qiugen Xiao, Peng Cao, Jian Tang, Yi Yuan, Zijie Zhao, Xiaoyuan Chen, Liang Zhang, Xiangyang Li, Kaitong Yang, Weidong Guo, Yukang Gan, Xu Yu, Daniell Wang, Ying Shan
Using ChatGPT as a labeler to provide feedback on open-domain prompts in RLAIF training, we observe an increase in human evaluators' preference win ratio for model responses, but a decrease in evaluators' satisfaction rate.
no code implementations • 8 Mar 2024 • Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou
While promising, this move presents significant challenges for personalized recommendations.
1 code implementation • 7 Mar 2024 • Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang
Court View Generation (CVG) is a challenging task in the field of Legal Artificial Intelligence (LegalAI), which aims to generate court views based on the plaintiff claims and the fact descriptions.
1 code implementation • 7 Mar 2024 • Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang
In this paper, we introduce a novel From Graph to Word Bag (FWGB) approach, which introduces domain knowledge regarding constituent elements to guide the model in making judgments on confusing charges, much like a judge's reasoning process.
1 code implementation • 23 Feb 2024 • Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han
These hard samples are then employed to promote the quality of the ensemble model by adjusting the ensembling weights for each client model.
no code implementations • 23 Feb 2024 • Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
In this study, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu.
no code implementations • 22 Feb 2024 • Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
Stance detection is a challenging task that aims to identify public opinion from social media platforms with respect to specific targets.
no code implementations • 22 Feb 2024 • Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Kam-Fai Wong, Ruifeng Xu
Large language models (LLMs) have achieved remarkable progress in many natural language processing tasks.
1 code implementation • 18 Dec 2023 • Yuansan Liu, Sudanthi Wijewickrema, Ang Li, Christofer Bester, Stephen O'Leary, James Bailey
Experimental results demonstrate that our model can outperform existing state-of-the-art models in 5 out of 6 datasets, specifically on those with data containing both global and local properties.
no code implementations • 8 Nov 2023 • Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin Barker, Ang Li
The relentless advancement of artificial intelligence (AI) and machine learning (ML) applications necessitates the development of specialized hardware accelerators capable of handling the increasing complexity and computational demands.
no code implementations • 2 Nov 2023 • Junfu Wang, Yawen Li, Zhe Xue, Ang Li
Academic networks in the real world can usually be described by heterogeneous information networks composed of multi-type nodes and relationships.
no code implementations • 1 Nov 2023 • Chengjie Ma, Yawen Li, Meiyu Liang, Ang Li
The first method involves slow pruning throughout the entire model training process, which has limited acceleration effect on the model training process, but can ensure that the pruned model achieves higher accuracy.
no code implementations • 29 Oct 2023 • Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai "Helen" Li, Yiran Chen
Specifically, SiDA attains a remarkable speedup in MoE inference with up to 3. 93X throughput increasing, up to 75% latency reduction, and up to 80% GPU memory saving with down to 1% performance drop.
1 code implementation • NeurIPS 2023 • Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
A well-known theory by \citet{ilyas2019adversarial} explains adversarial vulnerability from a data perspective by showing that one can extract non-robust features from adversarial examples and these features alone are useful for classification.
no code implementations • 8 Oct 2023 • Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Jason Hou, Jie Tan, Wenhao Yu, YuAn Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen
Our developed methods and platform based on the convergence framework have been applied to a large (more than 3000 buses) Texas power system, and tested with 56000 scenarios.
1 code implementation • 8 Oct 2023 • Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang
Despite significant results achieved by Contrastive Language-Image Pretraining (CLIP) in zero-shot image recognition, limited effort has been made exploring its potential for zero-shot video recognition.
no code implementations • 4 Oct 2023 • Ziyao Wang, Jianyu Wang, Ang Li
The theoretical landscape of federated learning (FL) undergoes rapid evolution, but its practical application encounters a series of intricate challenges, and hyperparameter optimization is one of these critical challenges.
no code implementations • 31 Aug 2023 • ZhaoXin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang
3) AntM$^{2}$C provides 1 billion CTR data with 200 features, including 200 million users and 6 million items.
1 code implementation • ICCV 2023 • Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highlighted clients' data privacy and security issues.
no code implementations • 27 Jul 2023 • Xiao Tong, Ang Li, Lei Lei, Fan Liu, Fuwang Dong
The problem is solved using the alternating optimization (AO) method, and the optimal solution structures for transmit precoding and receive combining matrices are derived by using Lagrangian and Karush-Kuhn-Tucker (KKT) conditions, based on which, the original problem is transformed into an equivalent quadratic programming problem, enabling more efficient solutions.
no code implementations • 19 Jul 2023 • Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
The results of the evaluation on the standard dataset for binary classification show that ST-VQC can achieve over 30% accuracy improvement compared with existing VQCs on actual quantum computers.
no code implementations • 26 Jun 2023 • Zihan Liao, Fan Liu, Ang Li, Christos Masouros
In this paper, we present an innovative symbol-level precoding (SLP) approach for a wideband multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system employing faster-than-Nyquist (FTN) signaling.
no code implementations • 4 May 2023 • Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
It fills the gap by proposing a series of abstractions and techniques to map binary GNNs and their computations best to fit the nature of bit manipulations on GPUs.
no code implementations • 20 Mar 2023 • Xiaodong Zhao, YiXuan Luo, Juejing Liu, Wenjun Liu, Kevin M. Rosso, Xiaofeng Guo, Tong Geng, Ang Li, Xin Zhang
This study highlighted the importance of labeled experimental patterns on the training of DNN models to solve u-XRD mapping data from in-situ experiments involving liquid phase.
1 code implementation • 16 Mar 2023 • Xuzhe Zhang, Yuhao Wu, Elsa Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang
In this study, we introduce Masked Autoencoding and Pseudo-Labeling Segmentation (MAPSeg), a $\textbf{unified}$ UDA framework with great versatility and superior performance for heterogeneous and volumetric medical image segmentation.
no code implementations • 8 Mar 2023 • Mu Liang, Ang Li
In order to reduce the pilot overheads, we propose a new channel estimation method specially for PR-MIMO systems, which divides the transmit antennas of PR-MIMO into groups and antennas in different groups employ different radiation modes.
no code implementations • 17 Feb 2023 • Tianyue Zheng, Ang Li, Zhe Chen, Hongbo Wang, Jun Luo
Object detection with on-board sensors (e. g., lidar, radar, and camera) play a crucial role in autonomous driving (AD), and these sensors complement each other in modalities.
1 code implementation • 1 Feb 2023 • Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
Our framework extends CLIP with minimal modifications to model spatial-temporal relationships in videos, making it a specialized video classifier, while striving for generalization.
no code implementations • 27 Jan 2023 • Ang Li, Scott Mueller, Judea Pearl
Identifying the effects of causes and causes of effects is vital in virtually every scientific field.
no code implementations • 5 Jan 2023 • Ang Li, Jiayi Han, Yongjian Zhao, Keyu Li, Li Liu
While the US is not a standard paradigm for spinal surgery, the scarcity of intra-operative clinical US data is an insurmountable bottleneck in training a neural network.
no code implementations • ICCV 2023 • Junfeng Guo, Ang Li, Lixu Wang, Cong Liu
To ensure the security of RL agents against malicious backdoors, in this work, we propose the problem of Backdoor Detection in multi-agent RL systems, with the objective of detecting Trojan agents as well as the corresponding potential trigger actions, and further trying to mitigate their bad impact.
no code implementations • 25 Nov 2022 • Hatem Helal, Jesun Firoz, Jenna Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris Xantheas, Sutanay Choudhury
Molecular property calculations are the bedrock of chemical physics.
no code implementations • 11 Nov 2022 • Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen
In this work, we propose a novel method, FedStyle, to learn a more generalized global model by infusing local style information with local content information for contrastive learning, and to learn more personalized local models by inducing local style information for downstream tasks.
no code implementations • 17 Oct 2022 • Ang Li, Judea Pearl
In this paper, we discuss the conditions that observational data are worth considering to improve the quality of the bounds.
no code implementations • 16 Oct 2022 • Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
This paper deals with the problem of learning the probabilities of causation of subpopulations given finite population data.
no code implementations • 15 Oct 2022 • Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
In this paper, we present a machine learning framework that uses the bounds of the benefit function that are estimable from the finite population data to learn the bounds of the benefit function for each cell of characteristics.
no code implementations • 11 Oct 2022 • Samuel A. Stein, Ying Mao, James Ang, Ang Li
Quantum Machine Learning continues to be a highly active area of interest within Quantum Computing.
no code implementations • 11 Oct 2022 • Xiangbin Liu, Junping Du, Meiyu Liang, Ang Li
The proposed method uses the framework of adversarial learning to construct a video multimodal feature fusion network and a feature mapping network as generator, a modality discrimination network as discriminator.
no code implementations • 10 Oct 2022 • Ang Li, Ruirui Mao, Judea Pearl
The assumption is that one is in possession of a large enough sample to permit an accurate estimation of the experimental and observational distributions.
no code implementations • 10 Oct 2022 • Ang Li, Judea Pearl
The unit selection problem defined by Li and Pearl identifies individuals who have desired counterfactual behavior patterns, for example, individuals who would respond positively if encouraged and would not otherwise.
no code implementations • 7 Oct 2022 • Yuyao Zeng, Junping Du, Zhe Xue, Ang Li
KGUPN contains three main layers, which are the propagation representation layer, the contextual information layer and collaborative relation layer.
no code implementations • 7 Oct 2022 • Jiashun Liu, Zhe Xue, Ang Li
Then the whole heterogeneous information network is transformed into a hypergraph composed of different hyperedges.
no code implementations • 7 Oct 2022 • Junfu Wang, Yawen Li, Meiyu Liang, Ang Li
To solve the above challenges, aiming at the data information of scientific research teams closely related to science and technology, we proposed an academic heterogeneous information network embedding representation learning method based on federated learning (FedAHE), which utilizes node attention and meta path attention mechanism to learn low-dimensional, dense and real-valued vector representations while preserving the rich topological information and meta-path-based semantic information of nodes in network.
no code implementations • 7 Oct 2022 • Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai "Helen" Li, Yiran Chen
We also show that layer normalization is a better choice in FL which can mitigate the external covariate shift and improve the performance of the global model.
no code implementations • 30 Sep 2022 • Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
Based on this measure, we also design a computation-efficient client sampling strategy, such that the actively selected clients will generate a more class-balanced grouped dataset with theoretical guarantees.
no code implementations • 20 Sep 2022 • Hongwu Peng, Shanglin Zhou, Yukui Luo, Shijin Duan, Nuo Xu, Ran Ran, Shaoyi Huang, Chenghong Wang, Tong Geng, Ang Li, Wujie Wen, Xiaolin Xu, Caiwen Ding
The rapid growth and deployment of deep learning (DL) has witnessed emerging privacy and security concerns.
1 code implementation • 14 Sep 2022 • yuke wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin Barker, Ang Li, Yufei Ding
For irregularly sparse and fine-grained GNN workloads, such solutions miss the opportunity to jointly schedule/optimize the computation and communication operations for high-performance delivery.
no code implementations • 20 Aug 2022 • Ang Li, Judea Pearl
We propose an algorithm to test the identifiability of the nonbinary benefit function and an algorithm to compute the bounds of the nonbinary benefit function using experimental and observational data.
no code implementations • 19 Aug 2022 • Ang Li, Judea Pearl
This paper deals with the problem of estimating the probabilities of causation when treatment and effect are not binary.
no code implementations • 7 Aug 2022 • Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
Particularly, we develop a hardware-friendly sparse attention operator and a length-aware hardware resource scheduling algorithm.
no code implementations • 19 Jul 2022 • Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
Federated Learning aims at training a global model from multiple decentralized devices (i. e. clients) without exchanging their private local data.
no code implementations • 12 Jul 2022 • Fei Hua, Yuwei Jin, Ang Li, Chenxu Liu, Meng Wang, Yanhao Chen, Chi Zhang, Ari Hayes, Samuel Stein, Minghao Guo, Yipeng Huang, Eddy Z. Zhang
Evaluations through simulation and on real IBM-Q devices show that our framework can significantly reduce the error rate by up to 6$\times$, with only $\sim$60\% circuit depth compared to state-of-the-art gate scheduling approaches.
no code implementations • 6 Jul 2022 • Tianyu Zhao, Junping Du, Zhe Xue, Ang Li, Zeli Guan
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained task in the field of sentiment analysis, which aims to predict the polarity of aspects.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +4
no code implementations • 30 Jun 2022 • Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan
We provide a simple and general solution for the discovery of scarce topics in unbalanced short-text datasets, namely, a word co-occurrence network-based model CWIBTD, which can simultaneously address the sparsity and unbalance of short-text topics and attenuate the effect of occasional pairwise occurrences of words, allowing the model to focus more on the discovery of scarce topics.
2 code implementations • 29 Jun 2022 • Yangxi Zhou, Junping Du, Zhe Xue, Ang Li, Zeli Guan
To address this limitation, we propose SememeWSD Synonym (SWSDS) model to assign a different vector to every sense of polysemous words with the help of word sense disambiguation (WSD) and synonym set in OpenHowNet.
no code implementations • 28 Jun 2022 • Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin Herbordt, Ang Li, Dingwen Tao
Graph Neural Networks (GNNs) have drawn tremendous attention due to their unique capability to extend Machine Learning (ML) approaches to applications broadly-defined as having unstructured data, especially graphs.
no code implementations • 6 Jun 2022 • Xingchen Liu, Yawen Li, Yingxia Shao, Ang Li, Jian Liang
Based on this, we propose a car review text sentiment analysis model based on adversarial training and whole word mask BERT(ATWWM-BERT).
no code implementations • 5 Jun 2022 • Yanfei Li, Ang Li, Huimin Yu
Being a promising model to be deployed in resource-limited devices, Binarized Neural Networks (BNNs) have drawn extensive attention from both academic and industry.
1 code implementation • 5 Jun 2022 • Yanfei Li, Tong Geng, Samuel Stein, Ang Li, Huimin Yu
To close the accuracy gap, in this paper we propose to add a complementary activation function (AF) ahead of the sign based binarization, and rely on the genetic algorithm (GA) to automatically search for the ideal AFs.
no code implementations • 5 Jun 2022 • Jia Wang, Junping Du, Yingxia Shao, Ang Li
In this paper, we study the text sentiment classification of online travel reviews based on social media online comments and propose the SCCL model based on capsule network and sentiment lexicon.
no code implementations • 2 Jun 2022 • Peiyu Liu, Junping Du, Zhe Xue, Ang Li
With the rapid development of information technology, "information overload" has become the main theme that plagues people's online life.
no code implementations • 23 May 2022 • Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
However, caused by severe domain gaps (e. g., the field of view (FOV), pixel size, and object size among datasets), Mono3D detectors have difficulty in generalization, leading to drastic performance degradation on unseen domains.
no code implementations • 8 May 2022 • Ang Li, Shanshan Zhao, Qingjie Zhang, Qiuhong Ke
The IGGNet contains two key ingredients, i. e., a Geometry-Aware Attention (GAA) module and an Iterative Cross Guidance (ICG) strategy.
no code implementations • 26 Apr 2022 • Benzhi Wang, Meiyu Liang, Ang Li
With the advent of the information age, the scale of data on the Internet is getting larger and larger, and it is full of text, images, videos, and other information.
1 code implementation • 25 Apr 2022 • Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
Based on this, we develop a teacher-student paradigm to generate adaptive pseudo labels on the target domain.
no code implementations • 25 Apr 2022 • Jie Song, Meiyu Liang, Zhe Xue, Feifei Kou, Ang Li
There is a complex correlation among the data of scientific papers.
no code implementations • 20 Apr 2022 • Bowen Yu, Yingxia Shao, Ang Li
In recent years, with the rapid growth of Internet data, the number and types of scientific and technological resources are also rapidly expanding.
no code implementations • 13 Apr 2022 • Suyu Ouyang, Yingxia Shao, Ang Li
The scientific and technological resources of experts and scholars are mainly composed of basic attributes and scientific research achievements.
no code implementations • 13 Apr 2022 • Yuhui Wang, Yingxia Shao, Ang Li
In the era of big data, intellectual property-oriented scientific and technological resources show the trend of large data scale, high information density and low value density, which brings severe challenges to the effective use of intellectual property resources, and the demand for mining hidden information in intellectual property is increasing.
no code implementations • 11 Apr 2022 • Yang Jiang, Zhe Xue, Ang Li
Since the era of big data, the Internet has been flooded with all kinds of information.
no code implementations • 11 Apr 2022 • Yue Wang, Zhe Xue, Ang Li
With the advent of the cloud computing era, the cost of creating, capturing and managing information has gradually decreased.
no code implementations • 11 Apr 2022 • Runyu Yu, Zhe Xue, Ang Li
In recent years, with the continuous progress of science and technology, the number of scientific research achievements is increasing day by day, as the exchange platform and medium of scientific research achievements, the scientific and technological academic conferences have become more and more abundant.
no code implementations • ICLR 2022 • Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias
A challenging problem in task-free continual learning is the online selection of a representative replay memory from data streams.
1 code implementation • 7 Apr 2022 • Malcolm C. A. White, Kushal Sharma, Ang Li, T. K. Satish Kumar, Nori Nakata
In this paper, we advance FastMapSVM -- an interpretable Machine Learning framework for classifying complex objects -- as an advantageous alternative to Neural Networks for general classification tasks.
no code implementations • 31 Mar 2022 • Suyu Ouyang, Yingxia Shao, Junping Du, Ang Li
The knowledge extraction task is to extract triple relations (head entity-relation-tail entity) from unstructured text data.
no code implementations • 30 Mar 2022 • Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
To further strengthen the results, we co-design a customized ML model FLNet and its personalization under the decentralized training scenario.
no code implementations • 21 Mar 2022 • Yang Jiang, Zhe Xue, Ang Li
In the era of big data, it is possible to carry out cooperative research on the research results of researchers through papers, patents and other data, so as to study the role of researchers, and produce results in the analysis of results.
no code implementations • 21 Mar 2022 • Yue Wang, Yawen Li, Ang Li
We propose an attention-based hierarchical multi-label classification algorithm of academic texts (AHMCA) by integrating features such as text, keywords, and hierarchical structure, the academic documents are classified into the most relevant categories.
Document Embedding Hierarchical Multi-label Classification +2
1 code implementation • 21 Mar 2022 • Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art method for graph-based learning tasks.
Ranked #1 on Node Classification on Reddit
no code implementations • 21 Mar 2022 • Runyu Yu, Yawen Li, Ang Li
Aiming at the problem that the current general-purpose semantic text similarity calculation methods are difficult to use the semantic information of scientific academic conference data, a semantic similarity calculation algorithm for scientific academic conferences by fusion with domain features is proposed.
no code implementations • 16 Mar 2022 • Ang Li, Junping Du, Feifei Kou, Zhe Xue, Xin Xu, Mingying Xu, Yang Jiang
In light of this, we propose a scientific and technological information oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval method (SMCR) to find an effective common subspace.
no code implementations • 14 Mar 2022 • Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
The proposed work is the first investigation in the emotion recognition oriented EEG topological feature analysis, which brought a novel insight into the brain neural system nonlinear dynamics analysis and feature extraction.
no code implementations • 7 Mar 2022 • Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
In this paper we propose a novel hardware accelerator for GCN inference, called I-GCN, that significantly improves data locality and reduces unnecessary computation.
no code implementations • 25 Feb 2022 • Kaining Mao, Wei zhang, Deborah Baofeng Wang, Ang Li, Rongqi Jiao, Yanhui Zhu, Bin Wu, Tiansheng Zheng, Lei Qian, Wei Lyu, Minjie Ye, Jie Chen
For the text modality, we use global vectors for word representation (GloVe) to perform word embeddings and the embeddings are fed into the Bi-LSTM network.
no code implementations • 8 Feb 2022 • Junfeng Guo, Ang Li, Cong Liu
To ensure the security of RL agents against malicious backdoors, in this work, we propose the problem of Backdoor Detection in a multi-agent competitive reinforcement learning system, with the objective of detecting Trojan agents as well as the corresponding potential trigger actions, and further trying to mitigate their Trojan behavior.
1 code implementation • 22 Dec 2021 • Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
This is because real-world graphs can be extremely large and sparse.
2 code implementations • 19 Dec 2021 • Jie Yin, Ang Li, Tao Li, Wenxian Yu, Danping Zou
We introduce M2DGR: a novel large-scale dataset collected by a ground robot with a full sensor-suite including six fish-eye and one sky-pointing RGB cameras, an infrared camera, an event camera, a Visual-Inertial Sensor (VI-sensor), an inertial measurement unit (IMU), a LiDAR, a consumer-grade Global Navigation Satellite System (GNSS) receiver and a GNSS-IMU navigation system with real-time kinematic (RTK) signals.
1 code implementation • 9 Dec 2021 • Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao
To bridge this gap, we aim to learn a spatial-aware visual representation that can describe the three-dimensional space and is more suitable and effective for these tasks.
1 code implementation • 22 Nov 2021 • Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
Surprisingly, we show Vision Transformers perform significantly worse than Convolutional Neural Networks when only a small set of labeled data is available.
no code implementations • NeurIPS Workshop ImageNet_PPF 2021 • Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Gorur
We present the One Pass ImageNet (OPIN) problem, which aims to study the effectiveness of deep learning in a streaming setting.
1 code implementation • ICLR 2022 • Junfeng Guo, Ang Li, Cong Liu
We approach this problem from the optimization perspective and show that the objective of backdoor detection is bounded by an adversarial objective.
1 code implementation • NeurIPS 2021 • Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
Furthermore, we derive a certified robustness guarantee against model poisoning attacks and a convergence guarantee to FedAvg after applying our FL-WBC.
no code implementations • 18 Sep 2021 • Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
While end-to-end jointly optimizing GNNs and their accelerators is promising in boosting GNNs' inference efficiency and expediting the design process, it is still underexplored due to the vast and distinct design spaces of GNNs and their accelerators.
no code implementations • 15 Sep 2021 • Ang Li, Judea Pearl
The unit selection problem aims to identify a set of individuals who are most likely to exhibit a desired mode of behavior, for example, selecting individuals who would respond one way if encouraged and a different way if not encouraged.
no code implementations • 25 Aug 2021 • Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Veličković
Travel-time prediction constitutes a task of high importance in transportation networks, with web mapping services like Google Maps regularly serving vast quantities of travel time queries from users and enterprises alike.
no code implementations • 10 Aug 2021 • Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Deep complex networks (DCN), in contrast, can learn from complex data, but have high computational costs; therefore, they cannot satisfy the instant decision-making requirements of many deployable systems dealing with short observations or short signal bursts.
no code implementations • 3 Jul 2021 • Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li
Existing representation learning methods on graphs have achieved state-of-the-art performance on various graph-related tasks such as node classification, link prediction, etc.
no code implementations • ICML Workshop INNF 2021 • Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
Learning new tasks continuously without forgetting on a constantly changing data distribution is essential for real-world problems but extremely challenging for modern deep learning.
no code implementations • 23 Jun 2021 • Ang Li, Judea Pearl
This paper addresses the problem of estimating causal effects when adjustment variables in the back-door or front-door criterion are partially observed.
1 code implementation • 23 Jun 2021 • Boyuan Feng, yuke wang, Tong Geng, Ang Li, Yufei Ding
Over the years, accelerating neural networks with quantization has been widely studied.
1 code implementation • CVPR 2021 • Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
The key idea of our defense is learning to perturb data representation such that the quality of the reconstructed data is severely degraded, while FL performance is maintained.
no code implementations • 3 Jun 2021 • Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
A promising countermeasure against such forgeries is deep inpainting detection, which aims to locate the inpainted regions in an image.
no code implementations • 17 May 2021 • Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide
While many solutions have been proposed for this task, they are usually very computationally expensive and thus are not applicable for on-device inference.
no code implementations • 28 Apr 2021 • Scott Mueller, Ang Li, Judea Pearl
The problem of individualization is recognized as crucial in almost every field.
no code implementations • CVPR 2022 • Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung
Based upon this observation, we propose a novel metric called Neural Mean Discrepancy (NMD), which compares neural means of the input examples and training data.
1 code implementation • 22 Apr 2021 • Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li
Crowd counting has drawn much attention due to its importance in safety-critical surveillance systems.
no code implementations • 28 Mar 2021 • Yanfei Li, Tong Geng, Ang Li, Huimin Yu
Motivated by the complex neural networks, in this paper we introduce complex representation into the BNNs and propose Binary complex neural network -- a novel network design that processes binary complex inputs and weights through complex convolution, but still can harvest the extraordinary computation efficiency of BNNs.
no code implementations • 10 Mar 2021 • Ang Li, Shengmin Shi, Dixia Fan
In order to reveal the detailed flow physics that result in significant fluid forces alternations, the detailed flow visualization is provided by the numerical simulation: the small gap between two cylinders in a side-by-side configuration will result in a strong gap jet that enhances the energy dissipation and increase the drag, while due to the flow blocking effect for two cylinders in a tandem configuration, the drag coefficient decreases.
Fluid Dynamics
no code implementations • 4 Feb 2021 • Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar, Ang Li, Cong Liu
PredCoin poisons the gradient estimation step, an essential component of most QBHL attacks.
no code implementations • 29 Jan 2021 • Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar
We employ the Cram\'er-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios.
no code implementations • 19 Jan 2021 • Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li
The framework shows that the subset selection process, a deciding factor for subset aggregation methods, can be viewed as a code design problem.
no code implementations • 13 Jan 2021 • Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du
In this paper, we mitigate these limitations by developing a novel deep meta reinforcement learning (DMRL) algorithm.
no code implementations • 1 Jan 2021 • Samuel A. Stein, Ray Marie Tischio, Betis Baheri, YiWen Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang
In this paper, we propose GenQu, a hybrid and general-purpose quantum framework for learning classical data through quantum states.
4 code implementations • 8 Dec 2020 • Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
In this work, we show our key observation that the data representation leakage from gradients is the essential cause of privacy leakage in FL.
no code implementations • 8 Dec 2020 • Binghui Wang, Ang Li, Hai Li, Yiran Chen
However, existing FL methods 1) perform poorly when data across clients are non-IID, 2) cannot handle data with new label domains, and 3) cannot leverage unlabeled data, while all these issues naturally happen in real-world graph-based problems.
no code implementations • 6 Oct 2020 • Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
However, a degraded performance is observed for ER with small memory.
no code implementations • ECCV 2020 • Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, DaCheng Tao, Ramamohanarao Kotagiri
Video inpainting aims to restore missing regions of a video and has many applications such as video editing and object removal.
no code implementations • 1 Sep 2020 • Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen
Link prediction in dynamic graphs (LPDG) is an important research problem that has diverse applications such as online recommendations, studies on disease contagion, organizational studies, etc.
1 code implementation • 1 Sep 2020 • Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Hai Li, Yiran Chen
Specifically, we first introduce two influence functions, i. e., feature-label influence and label influence, that are defined on GNNs and label propagation (LP), respectively.
1 code implementation • 7 Aug 2020 • Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
Rather than learning a shared global model in classic federated learning, each client learns a personalized model via LotteryFL; the communication cost can be significantly reduced due to the compact size of lottery networks.
1 code implementation • 30 Jun 2020 • Ang Li, Simon Su
Despite foreseeing tremendous speedups over conventional deep neural networks, the performance advantage of binarized neural networks (BNNs) has merely been showcased on general-purpose processors such as CPUs and GPUs.
no code implementations • 22 Jun 2020 • Renke Huang, Yujiao Chen, Tianzhixi Yin, Xinya Li, Ang Li, Jie Tan, Wenhao Yu, YuAn Liu, Qiuhua Huang
Load shedding has been one of the most widely used and effective emergency control approaches against voltage instability.
no code implementations • 19 Jun 2020 • Dong Yin, Mehrdad Farajtabar, Ang Li, Nir Levine, Alex Mott
This problem is often referred to as catastrophic forgetting, a key challenge in continual learning of neural networks.
2 code implementations • NeurIPS 2020 • Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha
The challenge of developing powerful and general Reinforcement Learning (RL) agents has received increasing attention in recent years.
4 code implementations • 26 May 2020 • Ang Li, Sriram Krishnamoorthy
For evaluation, we measure the execution fidelity of a subset of QASMBench applications on 12 IBM-Q machines through density matrix state tomography, which comprises 25K circuit evaluations.
Quantum Physics
no code implementations • 25 May 2020 • Huanhuan Fan, Yuhao Zhou, Ang Li, Shuang Gao, Jijunnan Li, Yandong Guo
In this paper, we propose a monocular visual localization pipeline leveraging semantic and depth cues.
no code implementations • 24 May 2020 • Ang Li, Wei Du, Qinghua Li
Through the cooperation between a photographer and a stranger, the stranger's face in a photo can be automatically blurred upon his request when the photo is taken.
no code implementations • 24 May 2020 • Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni
Instead of performing stylization frame by frame, only key frames in the original video are processed by a pre-trained deep neural network (DNN) on edge servers, while the rest of stylized intermediate frames are generated by our designed optical-flow-based frame interpolation algorithm on mobile phones.
no code implementations • 23 May 2020 • Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
The goal of this framework is to learn a feature extractor that can hide the privacy information from the intermediate representations; while maximally retaining the original information embedded in the raw data for the data collector to accomplish unknown learning tasks.
no code implementations • 6 May 2020 • Zhenyu Zhu, Ang Li, Luciano Rezzolla
Hence, the measurement of these corrections has the potential of providing important information on the equation of state of nuclear matter.
High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology
no code implementations • 5 May 2020 • Chandan Pradhan, Ang Li, Lingyang Song, Jun Li, Branka Vucetic, Yonghui Li
In this paper, we focus on the reconfigurable intelligent surface (RIS)-enhanced two-way device-to-device (D2D) multi-pair orthogonal-frequency-division-multiplexing (OFDM) communication systems.
no code implementations • 1 May 2020 • Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman
The dataset is collected by annotating videos from the Kinetics-700 dataset using the AVA annotation protocol, and extending the original AVA dataset with these new AVA annotated Kinetics clips.
1 code implementation • 20 Apr 2020 • Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
In this work, we propose SVD training, the first method to explicitly achieve low-rank DNNs during training without applying SVD on every step.
no code implementations • ECCV 2020 • Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo
We propose the OpenHybrid framework, which is composed of an encoder to encode the input data into a joint embedding space, a classifier to classify samples to inlier classes, and a flow-based density estimator to detect whether a sample belongs to the unknown category.
no code implementations • 12 Feb 2020 • Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed Chi
Deep Reinforcement Learning (RL) is proven powerful for decision making in simulated environments.
no code implementations • 15 Oct 2019 • Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
In this paper, we propose to address this issue from a parameter space perspective and study an approach to restrict the direction of the gradient updates to avoid forgetting previously-learned data.
no code implementations • 9 Sep 2019 • Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen
Our experiments on CelebA and LFW datasets show that the quality of the reconstructed images from the obfuscated features of the raw image is dramatically decreased from 0. 9458 to 0. 3175 in terms of multi-scale structural similarity.
1 code implementation • ICLR 2020 • Nir Levine, Yin-Lam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
A promising approach is to embed the high-dimensional observations into a lower-dimensional latent representation space, estimate the latent dynamics model, then utilize this model for control in the latent space.
1 code implementation • 23 Aug 2019 • Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steve Reinhardt, Martin Herbordt
Deep learning systems have been successfully applied to Euclidean data such as images, video, and audio.
no code implementations • 13 Aug 2019 • Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri
Forexample, given a male image with image region of one eye missing, current models may restore it with a female eye.
no code implementations • 1 Aug 2019 • Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
Image inpainting aims at restoring missing regions of corrupted images, which has many applications such as image restoration and object removal.
no code implementations • 27 Jul 2019 • Ang Li, Xue Yang, Chongyang Zhang
We extend the state-of-the-art Cascade R-CNN with a simple feature sharing mechanism.
no code implementations • CVPR 2020 • Zelun Kong, Junfeng Guo, Ang Li, Cong Liu
We compare PhysGAN with a set of state-of-the-art baseline methods including several of our self-designed ones, which further demonstrate the robustness and efficacy of our approach.
1 code implementation • ICCV 2019 • Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar
The ability to navigate from visual observations in unfamiliar environments is a core component of intelligent agents and an ongoing challenge for Deep Reinforcement Learning (RL).
1 code implementation • 11 Mar 2019 • Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan Tallent, Kevin Barker
High performance multi-GPU computing becomes an inevitable trend due to the ever-increasing demand on computation capability in emerging domains such as deep learning, big data and planet-scale simulations.
Hardware Architecture Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Performance
3 code implementations • 9 Feb 2019 • Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh
To alleviate this shortcoming, we introduce multi-step knowledge distillation, which employs an intermediate-sized network (teacher assistant) to bridge the gap between the student and the teacher.
no code implementations • 5 Feb 2019 • Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
Population Based Training (PBT) is a recent approach that jointly optimizes neural network weights and hyperparameters which periodically copies weights of the best performers and mutates hyperparameters during training.
no code implementations • 4 Jan 2019 • Tong Geng, Tianqi Wang, Ang Li, Xi Jin, Martin Herbordt
Among the issues with this approach is that to make the distributed cluster work with high utilization, the workload distributed to each node must be large, which implies nontrivial growth in the SGD mini-batch size.
no code implementations • 23 Oct 2018 • Yuanliu Liu, Ang Li, Zejian yuan, Badong Chen, Nanning Zheng
We propose a Consistency-aware Selective Fusion (CSF) to integrate the pairwise orders into a globally consistent order.
no code implementations • 3 Jul 2018 • Ang Li, Zejian yuan
Detecting the occlusion from stereo images or video frames is important to many computer vision applications.
no code implementations • ICCV 2019 • Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis
We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home surveillance.
no code implementations • 13 Jan 2018 • Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
Given the limited GPU DRAM, SuperNeurons not only provisions the necessary memory for the training, but also dynamically allocates the memory for convolution workspaces to achieve the high performance.
no code implementations • CVPR 2018 • Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis
In contrast, we argue that it is essential to prune neurons in the entire neuron network jointly based on a unified goal: minimizing the reconstruction error of important responses in the "final response layer" (FRL), which is the second-to-last layer before classification, for a pruned network to retrain its predictive power.
no code implementations • ECCV 2018 • Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
We introduce count-guided weakly supervised localization (C-WSL), an approach that uses per-class object count as a new form of supervision to improve weakly supervised localization (WSL).
no code implementations • CVPR 2018 • Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis
We introduce a generic framework that reduces the computational cost of object detection while retaining accuracy for scenarios where objects with varied sizes appear in high resolution images.
no code implementations • ICCV 2017 • Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis
Understanding visual relationships involves identifying the subject, the object, and a predicate relating them.
no code implementations • ICCV 2017 • Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten
Real-world image recognition systems need to recognize tens of thousands of classes that constitute a plethora of visual concepts.
Ranked #2 on Zero-Shot Transfer Image Classification on aYahoo
no code implementations • CVPR 2017 • Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
Since interactions between objects can be reduced to a limited set of atomic spatial relations in 3D, we study the possibility of inferring 3D structure from a text description rather than an image, applying physical relation models to synthesize holistic 3D abstract object layouts satisfying the spatial constraints present in a textual description.
no code implementations • 18 Nov 2016 • Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande
Deep learning modeling lifecycle generates a rich set of data artifacts, such as learned parameters and training logs, and comprises of several frequently conducted tasks, e. g., to understand the model behaviors and to try out new models.
no code implementations • CVPR 2016 • Ang Li, Dapeng Chen, Yuanliu liu, Zejian yuan
While great progress has been made in stereo computation over the last decades, large textureless regions remain challenging.
1 code implementation • ICCV 2015 • Ang Li, Vlad Morariu, Larry S. Davis
Most existing face verification systems rely on precise face detection and registration.
no code implementations • 30 Nov 2015 • Aiqi Zhang, Ang Li, Tingshao Zhu
We examined temporal patterns of the linguistic expression of individuals on Chinese social media (Weibo).
no code implementations • 28 Sep 2015 • Ang Li, Feng Tang, Yanwen Guo, Hai Tao
The proposed DNBS representation is applied to object tracking through SSD-based template matching.
no code implementations • 15 Mar 2014 • Bibo Hao, Lin Li, Rui Gao, Ang Li, Tingshao Zhu
Nowadays, people are motivated to share their experiences and feelings on social media, so we propose to sense SWB from the vast user generated data on social media.
no code implementations • ECCV 2014 • Ang Li, Vlad I. Morariu, Larry S. Davis
Image based geolocation aims to answer the question: where was this ground photograph taken?