no code implementations • ECNLP (ACL) 2022 • Lei Chen, Hou Wei Chou
Moreover, the proposed method is able to keep using existing text-only IC inference implementation and shows a resource advantage than the deployment of a dual-input MIC system.
1 code implementation • COLING 2022 • Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang
Existing works on rumor resolution have shown great potential in recognizing word appearance and user participation.
no code implementations • SemEval (NAACL) 2022 • Lei Chen, Hou Wei Chou
Detecting MEME images to be misogynous or not is an application useful on curbing online hateful information against women.
no code implementations • NAACL (BEA) 2022 • Lei Chen, Chenglin Jiang, Yiwei Gu, Yang Liu, Jiahong Yuan
Reduced form pronunciations are widely used by native English speakers, especially in casual conversations.
no code implementations • ACL (ECNLP) 2021 • Lei Chen, Houwei Chou, Yandi Xia, Hirokazu Miyake
The Transformer has proven to be a powerful feature extraction method and has gained widespread adoption in natural language processing (NLP).
no code implementations • 15 Dec 2022 • Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen
Disentangled representation learning remains challenging as ground truth factors of variation do not naturally exist.
no code implementations • 1 Nov 2022 • Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
In this survey, we analyze three major challenges in distributed GNN training that are massive feature communication, the loss of model accuracy and workload imbalance.
1 code implementation • 13 Oct 2022 • Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, XiaoHu Qie
Existing benchmark datasets for recommender systems (RS) either are created at a small scale or involve very limited forms of user feedback.
1 code implementation • 3 Oct 2022 • Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter Pietzuch, Lei Chen
Yet, current distributed RL systems tie the definition of RL algorithms to their distributed execution: they hard-code particular distribution strategies and only accelerate specific parts of the computation (e. g. policy network updates) on GPU workers.
no code implementations • 21 Sep 2022 • Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
As one of the most successful AI-powered applications, recommender systems aim to help people make appropriate decisions in an effective and efficient way, by providing personalized suggestions in many aspects of our lives, especially for various human-oriented online services such as e-commerce platforms and social media sites.
no code implementations • 5 Sep 2022 • Lei Chen, Haibo Qin, Shi-Xue Zhang, Chun Yang, XuCheng Yin
In this paper, we propose an efficient attention-free Single-Point Decoding Network (dubbed SPDN) for scene text recognition, which can replace the traditional attention-based decoding network.
1 code implementation • 26 Aug 2022 • Shi-Xue Zhang, Xiaobin Zhu, Lei Chen, Jie-Bo Hou, Xu-Cheng Yin
To be concrete, we adopt a Sigmoid Alpha Function (SAF) to transfer the distances between boundaries and their inside pixels to a probability map.
2 code implementations • International Conference on Data Engineering 2022 • Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen
Recently, neural networks based models have been widely used for recommender systems (RS).
no code implementations • 26 Jul 2022 • Yue Zhang, Yajie Zou, Yuanchang Xie, Lei Chen
A quantitative understanding of dynamic lane-changing (LC) interaction patterns is indispensable for improving the decision-making of autonomous vehicles, especially in mixed traffic with human-driven vehicles.
1 code implementation • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence 2022 • Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs)method emerges to be a promising method for solving both forward and inverse PDE problems.
no code implementations • 1 Jul 2022 • Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
Meanwhile, we treat each edge sequence as a whole and embed its ToV of the first vertex to further encode the time-sensitive information.
no code implementations • 30 Jun 2022 • Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen
Since GAD emphasizes the application and the rarity of anomalous samples, enriching the varieties of its datasets is a fundamental work.
3 code implementations • 24 Jun 2022 • Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, YuAn Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao
We provide in addition the benchmark training procedure for SOTA protein structure prediction model on this dataset.
no code implementations • 8 Jun 2022 • Lei Chen, Joan Bruna
Gradient Descent (GD) is a powerful workhorse of modern machine learning thanks to its scalability and efficiency in high-dimensional spaces.
no code implementations • 26 May 2022 • Yuan Hu, Lei Chen, Zhibin Wang, Hao Li
We also compare four categories of perturbation methods for ensemble forecasting, i. e. fixed distribution perturbation, learned distribution perturbation, MC dropout, and multi model ensemble.
no code implementations • 17 May 2022 • Thomas Delteil, Edouard Belval, Lei Chen, Luis Goncalves, Vijay Mahadevan
In these, text semantics and visual information supplement each other to provide a global understanding of the document.
no code implementations • 29 Apr 2022 • Chang Shu, Ziming Chen, Lei Chen, Kuan Ma, Minghui Wang, Haibing Ren
To the best of our knowledge, this is the first work to show that transformer-based networks can attain state-of-the-art performance in real-time in the single image depth estimation field.
1 code implementation • 26 Apr 2022 • Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
While conventional CF models are known for facing the challenges of the popularity bias that favors popular items, one may wonder "Whether the existing graph-based CF models alleviate or exacerbate popularity bias of recommender systems?"
1 code implementation • CVPR 2022 • Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie zhou, Jiwen Lu
The generated text prompts are paired with corresponding video clips, and together co-train the text encoder and the video encoder via a contrastive approach.
Ranked #2 on
Action Segmentation
on GTEA
1 code implementation • ACL 2022 • Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen
To alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR).
no code implementations • 28 Feb 2022 • Daniel Gao, Yantao Jia, Lei LI, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao
However, to figure out whether PLMs can be reliable knowledge sources and used as alternative knowledge bases (KBs), we need to further explore some critical features of PLMs.
no code implementations • 25 Feb 2022 • Jiahui Duan, Xialiang Tong, Fei Ni, Zhenan He, Lei Chen, Mingxuan Yuan
The bin packing problem exists widely in real logistic scenarios (e. g., packing pipeline, express delivery), with its goal to improve the packing efficiency and reduce the transportation cost.
no code implementations • 10 Jan 2022 • Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang
In this paper, we study a region partitioning problem, namely optimal grid size selection problem (OGSS), which aims to minimize the real error of spatiotemporal prediction models by selecting the optimal grid size.
no code implementations • 14 Dec 2021 • Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
Thus, graph pre-training has the great potential to alleviate data sparsity in GNN-based recommendations.
1 code implementation • NeurIPS 2021 • Zhili Wang, Shimin Di, Lei Chen
However, existing AutoGNN works mainly adopt an implicit way to model and leverage the link information in the graphs, which is not well regularized to the link prediction task on graphs, and limits the performance of AutoGNN for other graph tasks.
no code implementations • 15 Nov 2021 • Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong
Many important problems in science and engineering require solving the so-called parametric partial differential equations (PDEs), i. e., PDEs with different physical parameters, boundary conditions, shapes of computation domains, etc.
1 code implementation • 10 Nov 2021 • Xiangru Lian, Binhang Yuan, XueFeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen yang, Ce Zhang, Ji Liu
Specifically, in order to ensure both the training efficiency and the training accuracy, we design a novel hybrid training algorithm, where the embedding layer and the dense neural network are handled by different synchronization mechanisms; then we build a system called Persia (short for parallel recommendation training system with hybrid acceleration) to support this hybrid training algorithm.
no code implementations • 2 Nov 2021 • Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs) emerges to be a promising method for solving both forward and inverse PDE problems.
no code implementations • NeurIPS 2021 • Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
Time series forecasting is widely used in business intelligence, e. g., forecast stock market price, sales, and help the analysis of data trend.
no code implementations • 14 Oct 2021 • Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao
To increase the number of activated experts without an increase in computational cost, we propose SAM (Switch and Mixture) routing, an efficient hierarchical routing mechanism that activates multiple experts in a same device (GPU).
no code implementations • 12 Oct 2021 • Zhuang Shao, Xiaoliang Chen, Li Du, Lei Chen, Yuan Du, Wei Zhuang, Huadong Wei, Chenjia Xie, Zhongfeng Wang
To maintain real-time processing in embedded systems, large on-chip memory is required to buffer the interlayer feature maps.
no code implementations • 29 Sep 2021 • Shimin Di, Lei Chen
In this paper, we first unify a search space of message functions that enables both structures and operators to be searchable.
no code implementations • 24 Aug 2021 • Yige Zhang, Weixiong Rao, Kun Zhang, Lei Chen
The HMM approaches typically assume stable mobility patterns of the underlying mobile devices.
no code implementations • 19 Aug 2021 • Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wan, Xuanjing Huang
Existing system dealing with online complaint provides a final decision without explanations.
no code implementations • Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021 • Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen
It has been long debated that eXplainable AI (XAI) is an important technology for model and data exploration, validation, and debugging.
no code implementations • ACL 2021 • Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang
In addition, we propose a novel task, namely hashtag usage prediction to model the ideology of legislators on Twitter.
no code implementations • 27 Jul 2021 • Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hsiao, Lei Chen
Besides, our solution also resolves a fundamental problem with the faithfulness indicator, a commonly used evaluation metric of XAI algorithms that appears to be sensitive to the OoD issue.
no code implementations • 19 Jul 2021 • Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng
In this paper, we consider an important dynamic car-hailing problem, namely \textit{maximum revenue vehicle dispatching} (MRVD), in which rider requests dynamically arrive and drivers need to serve as many riders as possible such that the entire revenue of the platform is maximized.
no code implementations • 15 Jul 2021 • Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li
To realize such a goal, we propose AdaRec, a knowledge distillation (KD) framework which compresses knowledge of a teacher model into a student model adaptively according to its recommendation scene by using differentiable Neural Architecture Search (NAS).
1 code implementation • Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 • Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen
Currently, the most popular method for open-domain Question Answering (QA) adopts "Retriever and Reader" pipeline, where the retriever extracts a list of candidate documents from a large set of documents followed by a ranker to rank the most relevant documents and the reader extracts answer from the candidates.
no code implementations • CVPR 2021 • Mengyao Zhai, Lei Chen, Greg Mori
Deep neural networks are susceptible to catastrophic forgetting: when encountering a new task, they can only remember the new task and fail to preserve its ability to accomplish previously learned tasks.
no code implementations • 15 Jun 2021 • Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
Fine-tuning works as an effective transfer learning technique for this objective, which adapts the parameters of a pre-trained model from the source domain to the target domain.
no code implementations • 14 Jun 2021 • Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
Computer systems such as storage systems normally require transparent white-box algorithms that are interpretable for human experts.
no code implementations • NAACL 2021 • Lei Chen, Hirokazu Miyake
Item categorization is an important application of text classification in e-commerce due to its impact on the online shopping experience of users.
no code implementations • AAAI Technical Track on Machine Learning 2021 • Mengyun Chen, Kaixin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, ZhengHai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu
It is well-known that second-order optimizer can accelerate the training of deep neural networks, however, the huge computation cost of second-order optimization makes it impractical to apply in real practice.
1 code implementation • 16 May 2021 • Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
Despite the performance gain of these implicit feedback based models, the recommendation results are still far from satisfactory due to the sparsity of the observed item set for each user.
1 code implementation • ICCV 2021 • Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, LiMin Wang
Spatio-temporal action detection is an important and challenging problem in video understanding.
no code implementations • ECCV 2020 • Mengyao Zhai, Lei Chen, JiaWei He, Megha Nawhal, Frederick Tung, Greg Mori
In contrast, we propose a parameter efficient framework, Piggyback GAN, which learns the current task by building a set of convolutional and deconvolutional filters that are factorized into filters of the models trained on previous tasks.
1 code implementation • 24 Apr 2021 • Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Hence, we develop an approach based on intermediate representations of poses and appearance: our pose-guided appearance rendering network firstly encodes the targets' poses using an encoder-decoder neural network.
3 code implementations • 22 Apr 2021 • Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
The scoring function, which measures the plausibility of triplets in knowledge graphs (KGs), is the key to ensure the excellent performance of KG embedding, and its design is also an important problem in the literature.
1 code implementation • 21 Apr 2021 • Shimin Di, Quanming Yao, Lei Chen
Recently, tensor decomposition methods have been introduced into N-ary relational data and become state-of-the-art on embedding learning.
no code implementations • 8 Mar 2021 • Lei Chen, Shao-En Weng, Chu-Jun Peng, Hong-Han Shuai, Wen-Huang Cheng
Network security has been an active research topic for long.
1 code implementation • 18 Feb 2021 • Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
For each user, this transformation is achieved under the adversarial learning of a user-centric graph, in order to obfuscate each sensitive feature between both the filtered user embedding and the sub graph structures of this user.
no code implementations • 21 Jan 2021 • Zhenyi Zheng, Yue Zhang, Victor Lopez-Dominguez, Luis Sánchez-Tejerina, Jiacheng Shi, Xueqiang Feng, Lei Chen, Zilu Wang, Zhizhong Zhang, Kun Zhang, Bin Hong, Yong Xu, Youguang Zhang, Mario Carpentieri, Albert Fert, Giovanni Finocchio, Weisheng Zhao, Pedram Khalili Amiri
Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications.
Mesoscale and Nanoscale Physics
no code implementations • 14 Jan 2021 • ZhiHao Zhou, Wei Liu, Jiajing He, Lei Chen, Xin Luo, Dongyi Shen, Jianjun Cao, Yaping Dan, Xianfeng Chen, Wenjie Wan
Abbe's resolution limit, one of the best-known physical limitations, poses a great challenge for any wave systems in imaging, wave transport, and dynamics.
Super-Resolution
Optics
no code implementations • 1 Jan 2021 • Likang Wang, Lei Chen
Existing one-shot neural architecture search (NAS) methods generally contain a giant supernet, which leads to heavy computational costs.
1 code implementation • ICCV 2021 • Xinjun Ma, Yue Gong, Qirui Wang, Jingwei Huang, Lei Chen, Fan Yu
As a result, we achieve promising results on all datasets and the highest F-Score on the online TNT intermediate benchmark.
Ranked #2 on
Point Clouds
on Tanks and Temples
no code implementations • 31 Dec 2020 • Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen
It has been long debated that eXplainable AI (XAI) is an important topic, but it lacks rigorous definition and fair metrics.
no code implementations • COLING 2020 • Lei Chen, Zhongyu Wei, Jing Li, Baohua Zhou, Qi Zhang, Xuanjing Huang
Previous work for rumor resolution concentrates on exploiting time-series characteristics or modeling topology structure separately.
1 code implementation • COLING 2020 • Huajie Wang, Mei Li, Lei Chen
We pay close attention to the cross-domain context-dependent text-to-SQL generation task, which requires a model to depend on the interaction history and current utterance to generate SQL query.
no code implementations • 29 Oct 2020 • Jun Li, Lei Chen, Jiajia Chen
Two-step aggregation is introduced to facilitate scalable federated learning (SFL) over passive optical networks (PONs).
Networking and Internet Architecture
1 code implementation • ICLR 2021 • Lei Chen, Zhengdao Chen, Joan Bruna
From the perspective of expressive power, this work compares multi-layer Graph Neural Networks (GNNs) with a simplified alternative that we call Graph-Augmented Multi-Layer Perceptrons (GA-MLPs), which first augments node features with certain multi-hop operators on the graph and then applies an MLP in a node-wise fashion.
1 code implementation • 24 Oct 2020 • Yongqi Zhang, Quanming Yao, Lei Chen
In this paper, motivated by the observation that negative triplets with large gradients are important but rare, we propose to directly keep track of them with the cache.
1 code implementation • 10 Oct 2020 • Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen
Finally, with the new edge sampler and random walk model abstraction, we carefully implement a scalable NRL framework called UniNet.
no code implementations • 7 Oct 2020 • Joseph Marino, Lei Chen, JiaWei He, Stephan Mandt
We propose an approach for improving sequence modeling based on autoregressive normalizing flows.
no code implementations • 10 Sep 2020 • Lei Chen, Qi Qian, Hao Li
The anchor-free strategy benefits the classification task but can lead to sup-optimum for the regression task due to the lack of prior bounding boxes.
no code implementations • ECCV 2020 • Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, QinGhua Hu
Although significant progress achieved, multi-label classification is still challenging due to the complexity of correlations among different labels.
no code implementations • 24 May 2020 • Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
The transfer network is designed to approximate the learned item embeddings from graph neural networks by taking each item's visual content as input, in order to tackle the new segment problem in the test phase.
no code implementations • 18 May 2020 • Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao
Recent end-to-end deep neural networks for disparity regression have achieved the state-of-the-art performance.
1 code implementation • 1 May 2020 • Brighter Agyemang, Wei-Ping Wu, Michael Yelpengne Kpiebaareh, Zhihua Lei, Ebenezer Nanor, Lei Chen
In this study, we propose a self-attention-based multi-view representation learning approach for modeling drug-target interactions.
no code implementations • 13 Apr 2020 • Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma
We thus propose an end-to-end deep-learning BCoP model named Spatio-Temporal feature Auto-Selective (STAS) model to select optimal ST regularity from EC via the ST Feature-selective Mechanisms (SFM/TFM).
no code implementations • 7 Apr 2020 • Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen
The complementary graph regularizer investigates the specific information of multiple views.
no code implementations • 7 Apr 2020 • Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, XiaoHong Wang, JingChao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony Samir
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net).
1 code implementation • 25 Feb 2020 • Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng
This work proposes a novel approach for multiple time series forecasting.
1 code implementation • NeurIPS 2020 • Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
We also prove positive results for k-WL and k-IGNs as well as negative results for k-WL with a finite number of iterations.
2 code implementations • 28 Jan 2020 • Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
Second, we propose a residual network structure that is specifically designed for CF with user-item interaction modeling, which alleviates the over smoothing problem in graph convolution aggregation operation with sparse user-item interaction data.
1 code implementation • 17 Jan 2020 • Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
Then, we develop an efficient weight-transfer method to explain decisions for any image without back-propagation.
4 code implementations • NeurIPS 2020 • Yongqi Zhang, Quanming Yao, Lei Chen
In this work, based on the relational paths, which are composed of a sequence of triplets, we define the Interstellar as a recurrent neural architecture search problem for the short-term and long-term information along the paths.
1 code implementation • 13 Nov 2019 • Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
Intrinsic graph convolution operators with differentiable kernel functions play a crucial role in analyzing 3D shape meshes.
1 code implementation • IJCNLP 2019 • Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang
Aspect-based sentiment analysis (ABSA) has attracted increasing attention recently due to its broad applications.
Ranked #3 on
Aspect-Based Sentiment Analysis
on MAMS
no code implementations • 24 Oct 2019 • Jun Li, Xiaoman Shen, Lei Chen, Jiajia Chen
Bandwidth slicing is introduced to support federated learning in edge computing to assure low communication delay for training traffic.
no code implementations • 15 Oct 2019 • Xiaoyang Xu, Yiqun Liu, Hanqing Chao, Youcheng Luo, Hai Chu, Lei Chen, Junping Zhang, Leiming Ma
To the best of our knowledge, it is the first expert-free models for bias correction.
1 code implementation • CVPR 2020 • Qi Qian, Lei Chen, Hao Li, Rong Jin
This architecture is efficient but can suffer from the imbalance issue with respect to two aspects: the inter-class imbalance between the number of candidates from foreground and background classes and the intra-class imbalance in the hardness of background candidates, where only a few candidates are hard to be identified.
no code implementations • ICCV 2019 • Mengyao Zhai, Lei Chen, Fred Tung, JiaWei He, Megha Nawhal, Greg Mori
This makes it possible to perform image-conditioned generation tasks in a lifelong learning setting.
no code implementations • 18 Jul 2019 • Yuan Cao, Qiuying Li, Hongming Shan, Zhizhong Huang, Lei Chen, Leiming Ma, Junping Zhang
Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a local region, is gaining increasing attention in the artificial intelligence community.
no code implementations • 1 Jun 2019 • Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
We argue that the key challenge of this problem lies in discovering users' visual profiles for key frame recommendation, as most recommendation models would fail without any users' fine-grained image behavior.
1 code implementation • NeurIPS 2019 • Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
Graph neural networks (GNNs) have achieved lots of success on graph-structured data.
Ranked #21 on
Graph Regression
on ZINC-500k
3 code implementations • 26 Apr 2019 • Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen
The algorithm is further sped up by a filter and a predictor, which can avoid repeatedly training SFs with same expressive ability and help removing bad candidates during the search before model training.
Ranked #1 on
Link Prediction
on FB15k
2 code implementations • 28 Mar 2019 • Junxin Chen, Lei Chen, Yicong Zhou
During the past decades, there is a great popularity employing nonlinear dynamics and permutation-substitution architecture for image encryption.
Multimedia
no code implementations • 15 Mar 2019 • Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang
To tackle the above two challenges, in this paper, we propose a unified quality-aware GAN-based framework for unpaired image-to-image translation, where a quality-aware loss is explicitly incorporated by comparing each source image and the reconstructed image at the domain level.
5 code implementations • 16 Dec 2018 • Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen
Negative sampling, which samples negative triplets from non-observed ones in the training data, is an important step in KG embedding.
Ranked #5 on
Link Prediction
on FB15k
no code implementations • 7 Dec 2018 • Chengsheng Mao, Bin Hu, Lei Chen, Philip Moore, Xiaowei Zhang
Additionally, based on the local distribution, we generate a generalized local classification form that can be effectively applied to various datasets through tuning the parameters.
no code implementations • 30 Oct 2018 • Mei Lin, Vanya Jaitly, Iris Wang, Zhihong Hu, Lei Chen, Md. Amer Wahed, Zeyad Kanaan, Adan Rios, Andy N. D. Nguyen
We explore how Deep Learning (DL) can be utilized to predict prognosis of acute myeloid leukemia (AML).
no code implementations • ECCV 2018 • Lei Chen, Jiwen Lu, Zhanjie Song, Jie zhou
In this paper, we propose a part-activated deep reinforcement learning (PA-DRL) for action prediction.
1 code implementation • 3 Jun 2018 • Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
After that, we design a hierarchical attention network that naturally mirrors the hierarchical relationship (elements in each aspects level, and the aspect level) of users' latent interests with the identified key aspects.
no code implementations • 29 Dec 2017 • Christine A. Liang, Lei Chen, Amer Wahed, Andy N. D. Nguyen
The results of this study allow a novel approach to determine critical protein pathways in the FLT3-ITD mutation, and provide proof-of-concept for an accurate approach to model big data in cancer proteomics and genomics.
no code implementations • 5 Dec 2017 • Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori
An architecture combining a hierarchical temporal model for predicting human poses and encoder-decoder convolutional neural networks for rendering target appearances is proposed.
no code implementations • 25 Sep 2017 • Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang
Then, it proposes the weighted LRS decomposition, where each block element is assigned with one estimated weight to denote its reliability.
no code implementations • WS 2017 • Lei Chen, Chong MIn Lee
Public speakings play important roles in schools and work places and properly using humor contributes to effective presentations.
no code implementations • 16 May 2017 • Rui Meng, Hao Xin, Lei Chen, Yangqiu Song
In our work, we propose a system, called crowdsourced subjective knowledge acquisition (CoSKA), for subjective knowledge acquisition powered by crowdsourcing and existing KBs.
no code implementations • 8 Feb 2017 • Lei Chen, Chong MIn Lee
For the purpose of automatically evaluating speakers' humor usage, we build a presentation corpus containing humorous utterances based on TED talks.
no code implementations • WS 2016 • Chong Min Lee, Su-Youn Yoon, Lei Chen
Considering the importance of public speech skills, a system which makes a prediction on where audiences laugh in a talk can be helpful to a person who prepares for a talk.
no code implementations • 30 Jun 2016 • Zhong Ji, Yuzhong Xie, Yanwei Pang, Lei Chen, Zhongfei Zhang
Zero-shot learning (ZSL) extends the conventional image classification technique to a more challenging situation where the test image categories are not seen in the training samples.
no code implementations • LREC 2016 • Takakazu Imada, Yusuke Inoue, Lei Chen, Syunya Doi, Tian Nie, Chen Zhao, Takehito Utsuro, Yasuhide Kawada
We finally propose how to predict the market share of a specific product genre based on the rates of concerns of those who search for Web pages.
no code implementations • 12 Jun 2015 • Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori
This paper presents a deep neural-network-based hierarchical graphical model for individual and group activity recognition in surveillance scenes.
no code implementations • 4 Mar 2014 • Derrick Higgins, Chris Brew, Michael Heilman, Ramon Ziai, Lei Chen, Aoife Cahill, Michael Flor, Nitin Madnani, Joel Tetreault, Daniel Blanchard, Diane Napolitano, Chong MIn Lee, John Blackmore
Developments in the educational landscape have spurred greater interest in the problem of automatically scoring short answer questions.