no code implementations • NLP4ConvAI (ACL) 2022 • Tong Zhang, Yong liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
Conversational Recommendation Systems recommend items through language based interactions with users. In order to generate naturalistic conversations and effectively utilize knowledge graphs (KGs) containing background information, we propose a novel Bag-of-Entities loss, which encourages the generated utterances to mention concepts related to the item being recommended, such as the genre or director of a movie.
no code implementations • 2 Apr 2024 • Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
However, in real-world scenarios, models are usually deployed on resource-limited devices, e. g., FPGAs, and are often quantized and hard-coded with non-modifiable parameters for acceleration.
no code implementations • 27 Feb 2024 • Weijing Tao, Biwen Lei, Kunhao Liu, Shijian Lu, Miaomiao Cui, Xuansong Xie, Chunyan Miao
We design DivAvatar, a novel framework that generates diverse avatars, empowering 3D creatives with a multitude of distinct and richly varied 3D avatars from a single text prompt.
1 code implementation • 25 Feb 2024 • Xin Zhou, Chunyan Miao
While the incorporation of multimodal information could enhance the interpretability of these systems, current multimodal models represent users and items utilizing entangled numerical vectors, rendering them arduous to interpret.
1 code implementation • 27 Jan 2024 • Haocong Rao, Chunyan Miao
Person re-identification via 3D skeletons is an important emerging research area that triggers great interest in the pattern recognition community.
no code implementations • 18 Jan 2024 • He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao
Heterogeneous Graph Neural Networks (HGNNs) are increasingly recognized for their performance in areas like the web and e-commerce, where resilience against adversarial attacks is crucial.
1 code implementation • 21 Dec 2023 • Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui
To address this challenge, we propose Anchoring Path Sentence Transformer (APST) by introducing Anchoring Paths (APs) to alleviate the reliance of CPs.
no code implementations • 19 Dec 2023 • Chenyu Sun, Hangwei Qian, Chunyan Miao
Offline reinforcement learning (RL) aims to learn an effective policy from a pre-collected dataset.
2 code implementations • 28 Nov 2023 • Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing
Large Vision-Language Models (LVLMs) have advanced considerably, intertwining visual recognition and language understanding to generate content that is not only coherent but also contextually attuned.
1 code implementation • 12 Oct 2023 • Haochen Li, Xin Zhou, Luu Anh Tuan, Chunyan Miao
In our proposed loss function, we apply three methods to estimate the weights of negative pairs and show that the vanilla InfoNCE loss is a special case of Soft-InfoNCE.
no code implementations • 21 Sep 2023 • Weining Weng, Yang Gu, Qihui Zhang, Yingying Huang, Chunyan Miao, Yiqiang Chen
Due to the abundant neurophysiological information in the electroencephalogram (EEG) signal, EEG signals integrated with deep learning methods have gained substantial traction across numerous real-world tasks.
1 code implementation • 9 Sep 2023 • Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao
Existing methods fail to exploit flexibility and address the concerns of non-robustness simultaneously.
1 code implementation • 24 Jul 2023 • Haocong Rao, Cyril Leung, Chunyan Miao
Then a hierarchical meta-prototype contrastive learning model is proposed to cluster and contrast the most typical skeleton features ("prototypes") from different-level skeletons.
1 code implementation • 23 May 2023 • Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
In cross-lingual named entity recognition (NER), self-training is commonly used to bridge the linguistic gap by training on pseudo-labeled target-language data.
no code implementations • 28 Mar 2023 • Yunfan Zhang, Hao Wang, Guosheng Lin, Vun Chan Hua Nicholas, Zhiqi Shen, Chunyan Miao
This paper investigates an open research task of reconstructing and generating 3D point clouds.
2 code implementations • CVPR 2023 • Haocong Rao, Chunyan Miao
Then, we propose the Graph Prototype Contrastive learning (GPC) to mine the most typical graph features (graph prototypes) of each identity, and contrast the inherent similarity between graph representations and different prototypes from both skeleton and sequence levels to learn discriminative graph representations.
1 code implementation • 1 Mar 2023 • Haocong Rao, Cyril Leung, Chunyan Miao
We further propose three evaluation metrics to measure the consistency, robustness, and fairness of assessment results from state-of-the-art LLMs including ChatGPT and GPT-4.
no code implementations • 2 Feb 2023 • Tong Zhang, Yong liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui
HAHT maintains a long-term memory of history conversations and utilizes history information to understand current conversation context and generate well-informed and context-relevant responses.
1 code implementation • 4 Jan 2023 • Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui
Recent studies on knowledge graphs (KGs) show that path-based methods empowered by pre-trained language models perform well in the provision of inductive and explainable relation predictions.
no code implementations • 4 Dec 2022 • Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, DaCheng Tao
This technical report briefly describes our JDExplore d-team's Vega v2 submission on the SuperGLUE leaderboard.
Ranked #1 on Common Sense Reasoning on ReCoRD
1 code implementation • 17 Nov 2022 • Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
We propose ConNER as a novel consistency training framework for cross-lingual NER, which comprises of: (1) translation-based consistency training on unlabeled target-language data, and (2) dropoutbased consistency training on labeled source-language data.
1 code implementation • 15 Nov 2022 • Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
The DeepSEI model incorporates two networks called deep network and recurrent network, which extract the features of the mobility records from three aspects, namely spatiality, temporality and activity, one at a coarse level and the other at a detailed level.
1 code implementation • 21 Oct 2022 • Haochen Li, Chunyan Miao, Cyril Leung, Yanxian Huang, Yuan Huang, Hongyu Zhang, Yanlin Wang
In this paper, we explore augmentation methods that augment data (both code and query) at representation level which does not require additional data processing and training, and based on this we propose a general format of representation-level augmentation that unifies existing methods.
1 code implementation • 25 Aug 2022 • Haocong Rao, Chunyan Miao
Lastly, we propose a skeleton prototype contrastive learning scheme that clusters feature-correlative instances of unlabeled graph representations and contrasts their inherent similarity with representative skeleton features ("skeleton prototypes") to learn discriminative skeleton representations for person re-ID.
no code implementations • 2 Aug 2022 • Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao, Dong In Kim
The proposed incentive mechanism helps to maximize the revenue of semantic model providers in the semantic model trading, and effectively incentivizes model providers to participate in the development of semantic communication systems.
no code implementations • 29 Jul 2022 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
To this end, we discover the semantic meanings of StyleGAN latent space, such that we are able to produce face images of various expressions, poses, and lighting by controlling the latent codes.
no code implementations • 29 Jul 2022 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
When we do online paired data augmentation, we first generate augmented text through random token replacement, then pass the augmented text into the latent space alignment module to output the latent codes, which are finally fed to StyleGAN2 to generate the augmented images.
1 code implementation • 22 Jul 2022 • Xin Zhou, Donghui Lin, Yong liu, Chunyan Miao
Specifically, these models usually aggregate all layer embeddings for node updating and achieve their best recommendation performance within a few layers because of over-smoothing.
2 code implementations • 13 Jul 2022 • Xin Zhou, HongYu Zhou, Yong liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang
Besides the user-item interaction graph, existing state-of-the-art methods usually use auxiliary graphs (e. g., user-user or item-item relation graph) to augment the learned representations of users and/or items.
1 code implementation • 6 Jul 2022 • Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jiahui Zhang, Shijian Lu, Miaomiao Cui, Xuansong Xie, Xian-Sheng Hua, Chunyan Miao
In addition, we design a simple yet effective scheme that explicitly maps CLIP embeddings (of target text) to the latent space and fuses them with latent codes for effective latent code optimization and accurate editing.
1 code implementation • ICLR 2022 • Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
Our method is three-fold: 1) We propose Class-Aware Propensity (CAP) that exploits the unlabeled data to train an improved classifier using the biased labeled data.
no code implementations • 29 Jun 2022 • Yinan Zhang, Boyang Li, Yong liu, You Yuan, Chunyan Miao
Multi-shot CRS is designed to make recommendations multiple times until the user either accepts the recommendation or leaves at the end of their patience.
no code implementations • 30 May 2022 • Yixin Zhang, Yong liu, Yonghui Xu, Hao Xiong, Chenyi Lei, wei he, Lizhen Cui, Chunyan Miao
Specifically, GCL4SR employs a Weighted Item Transition Graph (WITG), built based on interaction sequences of all users, to provide global context information for each interaction and weaken the noise information in the sequence data.
no code implementations • 16 May 2022 • Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
The probability prediction of multivariate time series is a notoriously challenging but practical task.
no code implementations • 13 May 2022 • Yongjie Wang, Hangwei Qian, Chunyan Miao
We then propose DualCF strategy to circumvent the above issues, which is achieved by taking not only CF but also counterfactual explanation of CF (CCF) as pairs of training samples for the substitute model.
1 code implementation • 2 May 2022 • Chenyu Sun, Hangwei Qian, Chunyan Miao
As a result, the agent can focus on more informative samples and learn representation invariances more efficiently, with significantly reduced augmented inputs.
1 code implementation • 21 Apr 2022 • Haocong Rao, Chunyan Miao
Specifically, to fully exploit skeleton features within each skeleton sequence, we first devise a masked prototype contrastive learning (MPC) scheme to cluster the most typical skeleton features (skeleton prototypes) from different subsequences randomly masked from raw sequences, and contrast the inherent similarity between skeleton features and different prototypes to learn discriminative skeleton representations without using any label.
1 code implementation • 22 Mar 2022 • Yongwei Wang, Yuheng Wang, Tim K. Lee, Chunyan Miao, Z. Jane Wang
In this case, knowledge distillation (KD) has been proven as an efficient tool to help improve the adaptability of lightweight models under limited resources, meanwhile keeping a high-level representation capability.
1 code implementation • 12 Feb 2022 • Hangwei Qian, Tian Tian, Chunyan Miao
Self-supervised learning establishes a new paradigm of learning representations with much fewer or even no label annotations.
no code implementations • 20 Jan 2022 • Chenyu Sun, Hangwei Qian, Chunyan Miao
Psychological curiosity plays a significant role in human intelligence to enhance learning through exploration and information acquisition.
no code implementations • 20 Oct 2021 • Yidan Hu, Yong liu, Chunyan Miao, Gongqi Lin, Yuan Miao
In this paper, we propose a novel explanation generation framework, named Hierarchical Aspect-guided explanation Generation (HAG), for explainable recommendation.
1 code implementation • ACL 2022 • Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq Joty, Luo Si, Chunyan Miao
Much recent progress in task-oriented dialogue (ToD) systems has been driven by available annotation data across multiple domains for training.
no code implementations • 4 Oct 2021 • Zi Qin Liew, Yanyu Cheng, Wei Yang Bryan Lim, Dusit Niyato, Chunyan Miao, Sumei Sun
The semantic communication system enables wireless devices to communicate effectively with the semantic meaning of the data.
no code implementations • 4 Oct 2021 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
Our approach brings together several novel ideas in a systematic framework: (1) exploiting an unsupervised learning approach to obtain the sentence-level tree structure labels before training; (2) generating trees of target recipes from images with the supervision of tree structure labels learned from (1); and (3) integrating the learned tree structures into the recipe generation and food cross-modal retrieval procedure.
no code implementations • 29 Sep 2021 • Ling Cheng, Wei Wei, Feida Zhu, Yong liu, Chunyan Miao
However, those fusion-based models, they are still criticized for the lack of geometry information for inter and intra attention refinement.
no code implementations • 22 Sep 2021 • Yuanguo Lin, Yong liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao
To understand the challenges and relevant solutions, there should be a reference for researchers and practitioners working on RL-based recommender systems.
1 code implementation • ACL 2022 • Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
Data augmentation is an effective solution to data scarcity in low-resource scenarios.
1 code implementation • 25 Aug 2021 • Xuan Wu, Jizong Han, Di Wang, Pengyue Gao, Quanlong Cui, Liang Chen, Yanchun Liang, Han Huang, Heow Pueh Lee, Chunyan Miao, You Zhou, Chunguo Wu
While many Particle Swarm Optimization (PSO) algorithms only use fitness to assess the performance of particles, in this work, we adopt Surprisingly Popular Algorithm (SPA) as a complementary metric in addition to fitness.
1 code implementation • 14 Aug 2021 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
Video captioning targets interpreting the complex visual contents as text descriptions, which requires the model to fully understand video scenes including objects and their interactions.
no code implementations • 12 Aug 2021 • Mengmeng Tian, Yuxin Chen, YuAn Liu, Zehui Xiong, Cyril Leung, Chunyan Miao
It is challenging to design proper incentives for the FL clients due to the fact that the task is privately trained by the clients.
no code implementations • 3 Aug 2021 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
In this paper, we propose a novel unified framework of Cycle-consistent Inverse GAN (CI-GAN) for both text-to-image generation and text-guided image manipulation tasks.
no code implementations • 3 Aug 2021 • Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
Noisy labels are commonly found in real-world data, which cause performance degradation of deep neural networks.
no code implementations • ACL 2021 • Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq Joty, Luo Si, Chunyan Miao
With the source-language data as well as the translated data, a generation-based multilingual data augmentation method is introduced to further increase diversity by generating synthetic labeled data in multiple languages.
1 code implementation • ICCV 2021 • Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, Chunyan Miao
This paper presents WaveFill, a wavelet-based inpainting network that decomposes images into multiple frequency bands and fills the missing regions in each frequency band separately and explicitly.
2 code implementations • 7 Jul 2021 • Xin Zhou, Aixin Sun, Yong liu, Jie Zhang, Chunyan Miao
Collaborative filtering (CF) is widely used to learn informative latent representations of users and items from observed interactions.
2 code implementations • 7 Jul 2021 • Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao
This paper presents a versatile image translation and manipulation framework that achieves accurate semantic and style guidance in image generation by explicitly building a correspondence.
no code implementations • CVPR 2021 • Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao
In addition, we design a semantic-activation normalization scheme that injects style features of exemplars into the image translation process successfully.
no code implementations • 9 Jun 2021 • Yinan Zhang, Boyang Li, Yong liu, Hao Wang, Chunyan Miao
In this work, we propose a new initialization scheme for user and item embeddings called Laplacian Eigenmaps with Popularity-based Regularization for Isolated Data (LEPORID).
no code implementations • 18 May 2021 • Tong Zhang, Yong liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
The chit-chat-based conversational recommendation systems (CRS) provide item recommendations to users through natural language interactions.
no code implementations • 26 Apr 2021 • Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao
With image-level attention, transformers enable to model long-range dependencies and generate diverse contents with autoregressive modeling of pixel-sequence distributions.
1 code implementation • NAACL 2021 • Xu Guo, Boyang Li, Han Yu, Chunyan Miao
The existence of multiple datasets for sarcasm detection prompts us to apply transfer learning to exploit their commonality.
no code implementations • 19 Apr 2021 • Chenyi Lei, Shixian Luo, Yong liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li
The pre-trained neural models have recently achieved impressive performances in understanding multimodal content.
1 code implementation • CVPR 2021 • Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
The existence of noisy labels in real-world data negatively impacts the performance of deep learning models.
1 code implementation • CVPR 2021 • Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
We propose a causal framework to explain the catastrophic forgetting in Class-Incremental Learning (CIL) and then derive a novel distillation method that is orthogonal to the existing anti-forgetting techniques, such as data replay and feature/label distillation.
1 code implementation • 4 Feb 2021 • YuanYuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
the weights of training data, HYDRA assesses the contribution of training data toward test data points throughout the training trajectory.
no code implementations • 25 Dec 2020 • Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao
However, when a query is complex, developers need to repeatedly refine the search keywords and open a large number of web pages to find and summarize answers.
no code implementations • 24 Dec 2020 • Qinxu Ding, Yong liu, Chunyan Miao, Fei Cheng, Haihong Tang
Previous interactive recommendation methods primarily focus on learning users' personalized preferences on the relevance properties of an item set.
no code implementations • 15 Dec 2020 • Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao
Experimental results on two large-scale datasets support our hypothesis and show that our model can produce more accurate and commonsense-aware emotional responses and achieve better human ratings than state-of-the-art models that only specialize in one aspect.
1 code implementation • 15 Dec 2020 • Peixiang Zhong, Yong liu, Hao Wang, Chunyan Miao
We study the problem of imposing conversational goals/keywords on open-domain conversational agents, where the agent is required to lead the conversation to a target keyword smoothly and fast.
no code implementations • 3 Dec 2020 • Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao
In this paper, we propose the FedHumor approach for the recognition of humorous content in a personalized manner through Federated Learning (FL).
no code implementations • EMNLP 2020 • Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq Joty, Luo Si, Chunyan Miao
Data augmentation techniques have been widely used to improve machine learning performance as they enhance the generalization capability of models.
no code implementations • 25 Oct 2020 • Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao
To investigate machine comprehension models' ability in handling the commonsense knowledge, we created a Question and Answer Dataset with common knowledge of Synonyms (QADS).
no code implementations • 23 Oct 2020 • Yong liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Aixin Sun, Chunyan Miao
Side information of items, e. g., images and text description, has shown to be effective in contributing to accurate recommendations.
1 code implementation • ECCV 2020 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
We investigate an open research task of generating cooking instructions based on only food images and ingredients, which is similar to the image captioning task.
no code implementations • 10 Aug 2020 • Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao
This framework can achieve scalable and flexible decentralized FEL by individually manage local model updates or model sharing records for performance isolation.
Cryptography and Security
no code implementations • 27 Jul 2020 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
Recipe generation from food images and ingredients is a challenging task, which requires the interpretation of the information from another modality.
no code implementations • 23 Jul 2020 • Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao
To this end, this paper proposes a new federated learning-based aerial-ground air quality sensing framework for fine-grained 3D air quality monitoring and forecasting.
no code implementations • 13 Jul 2020 • Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao
The simulation results show that the grand coalition, where all UAVs join a single coalition, is not always stable due to the profit-maximizing behavior of the UAVs.
Networking and Internet Architecture Signal Processing
no code implementations • 31 May 2020 • Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang
In 5G and Beyond networks, Artificial Intelligence applications are expected to be increasingly ubiquitous.
1 code implementation • EMNLP 2020 • Peixiang Zhong, Chen Zhang, Hao Wang, Yong liu, Chunyan Miao
To this end, we propose a new task towards persona-based empathetic conversations and present the first empirical study on the impact of persona on empathetic responding.
no code implementations • 24 Apr 2020 • Susen Yang, Yong liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
Graph neural networks (GNN) have recently been applied to exploit knowledge graph (KG) for recommendation.
no code implementations • 24 Apr 2020 • Yong liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang
Therefore, they may not be effective in capturing the global dependency between words, and tend to be easily biased by noise review information.
no code implementations • 8 Apr 2020 • Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong, Jiawen Kang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence (AI) based models to be built.
Signal Processing Networking and Internet Architecture
1 code implementation • CVPR 2020 • Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang
Real-world visual recognition requires handling the extreme sample imbalance in large-scale long-tailed data.
1 code implementation • IJCNLP 2019 • Peixiang Zhong, Di Wang, Chunyan Miao
Messages in human conversations inherently convey emotions.
Ranked #8 on Emotion Recognition in Conversation on EC
no code implementations • 8 Sep 2019 • Yidan Hu, Gongqi Lin, Yuan Miao, Chunyan Miao
In this research, we propose a system which aims to allow computers to read articles and answer related questions with commonsense knowledge like a human being for CAT level 2.
no code implementations • 5 Sep 2019 • Yuan Miao, Gongqi Lin, Yidan Hu, Chunyan Miao
In order to be able to compare the difference between people reading and machines reading, we proposed a test called (reading) Comprehension Ability Test (CAT). CAT is similar to Turing test, passing of which means we cannot differentiate people from algorithms in term of their comprehension ability.
no code implementations • 30 Aug 2019 • Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
Video contents have become a critical tool for promoting products in E-commerce.
1 code implementation • IJCAI 2019 • Qiong Wu, Yong liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan
This paper proposes Personalized Diversity-promoting GAN (PD-GAN), a novel recommendation model to generate diverse, yet relevant recommendations.
2 code implementations • 18 Jul 2019 • Peixiang Zhong, Di Wang, Chunyan Miao
Finally, investigations on the neuronal activities reveal important brain regions and inter-channel relations for EEG-based emotion recognition.
Ranked #1 on EEG Emotion Recognition on SEED-IV
no code implementations • 1 Jul 2019 • Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang
Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions.
no code implementations • 4 Jun 2019 • Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong liu, Huanhuan Chen, Chunyan Miao
In the process of translation, CAN obtain the attention matrices that align the two languages.
Low Resource Named Entity Recognition named-entity-recognition +4
no code implementations • 16 May 2019 • Qiong Wu, Yong liu, Chunyan Miao, Yin Zhao, Lu Guan, Haihong Tang
With the rapid development of recommender systems, accuracy is no longer the only golden criterion for evaluating whether the recommendation results are satisfying or not.
no code implementations • 19 Mar 2019 • Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan
Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years.
no code implementations • 26 Feb 2019 • Chaoyue He, Yong liu, Qingyu Guo, Chunyan Miao
To this end, architectural inductive biases such as Markov-Chains, Recurrent models, Convolutional networks and many others have demonstrated reasonable success on this task.
1 code implementation • SEMEVAL 2019 • Peixiang Zhong, Chunyan Miao
In this paper we present our model on the task of emotion detection in textual conversations in SemEval-2019.
no code implementations • 2 Jan 2019 • Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung
In order to enable workforce management systems to follow the IEEE Ethically Aligned Design guidelines to prioritize worker wellbeing, we propose a distributed Computational Productive Laziness (CPL) approach in this paper.
no code implementations • 7 Dec 2018 • Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
As artificial intelligence (AI) systems become increasingly ubiquitous, the topic of AI governance for ethical decision-making by AI has captured public imagination.
1 code implementation • 17 Nov 2018 • Peixiang Zhong, Di Wang, Chunyan Miao
Affect conveys important implicit information in human communication.
no code implementations • EMNLP 2017 • Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li
Recent years have witnessed the proliferation of Massive Open Online Courses (MOOCs).
no code implementations • 10 Jun 2016 • Shaohua Li, Jun Zhu, Chunyan Miao
PSDVec is a Python/Perl toolbox that learns word embeddings, i. e. the mapping of words in a natural language to continuous vectors which encode the semantic/syntactic regularities between the words.
1 code implementation • 9 Jun 2016 • Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao
Word embedding maps words into a low-dimensional continuous embedding space by exploiting the local word collocation patterns in a small context window.
1 code implementation • EMNLP 2015 • Shaohua Li, Jun Zhu, Chunyan Miao
Most existing word embedding methods can be categorized into Neural Embedding Models and Matrix Factorization (MF)-based methods.
no code implementations • 26 Jun 2015 • Shaohua Li, Ryohei Fujimaki, Chunyan Miao
Factorial hidden Markov models (FHMMs) are powerful tools of modeling sequential data.