Richong Zhang

According to our database, Richong Zhang authored at least 150 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification.

Junfan Chen, Richong Zhang, Xiaohan Jiang, Chunming Hu

ACM Trans. Inf. Syst., September, 2024

Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching.

Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang

CoRR, 2024

Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives.

Zhangchi Feng, Richong Zhang, Zhijie Nie

CoRR, 2024

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Yongqiang Ma

CoRR, 2024

Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient.

Mingxin Li, Richong Zhang, Zhijie Nie

CoRR, 2024

Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding.

Dezhi Liu, Richong Zhang, Junfan Chen, Xinyue Chen

Proceedings of the ACM on Web Conference 2024, 2024

Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners.

Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao

Proceedings of the ACM on Web Conference 2024, 2024

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.

Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao

Proceedings of the ACM on Web Conference 2024, 2024

Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification.

Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao

Proceedings of the ACM on Web Conference 2024, 2024

Few-Shot KBQA Method Based on Multi-Task Learning.

Yuan Ren, Xutong Li, Xudong Liu, Richong Zhang

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

Code-Style In-Context Learning for Knowledge-Based Question Answering.

Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model.

Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning.

Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Information Bottleneck and Aggregated Learning.

Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification.

Junfan Chen, Richong Zhang, Jie Xu, Chunming Hu, Yongyi Mao

IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation.

Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

IEEE Trans. Knowl. Data Eng., October, 2023

Classification-oriented dawid skene model for transferring intelligence from crowds to machines.

Jiaran Li, Richong Zhang, Samuel Mensah, Wenyi Qin, Chunming Hu

Frontiers Comput. Sci., October, 2023

Knowledge Base Embedding for Sampling-Based Prediction.

Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao

ACM Trans. Inf. Syst., April, 2023

Learning Implicit and Explicit Multi-task Interactions for Information Extraction.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

ACM Trans. Inf. Syst., April, 2023

Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, Rui Zhao

CoRR, 2023

AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime.

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

CoRR, 2023

Word Sense Disambiguation by Refining Target Word Embedding.

Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao

Proceedings of the ACM Web Conference 2023, 2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.

Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu

Proceedings of the ACM Web Conference 2023, 2023

Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion.

Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Open-Set Semi-Supervised Text Classification with Latent Outlier Softening.

Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations.

Zhijie Nie, Richong Zhang, Yongyi Mao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Anaphor Assisted Document-Level Relation Extraction.

Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification.

Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-Mask Label Mapping for Prompt-Based Learning.

Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime.

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network.

Richong Zhang, Qianben Chen, Yaowei Zheng, Samuel Mensah, Yongyi Mao

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing.

Junshuang Wu, Richong Zhang, Yongyi Mao, Jinpeng Huai

IEEE ACM Trans. Audio Speech Lang. Process., 2022

The capacity of the dense associative memory networks.

Han Bao, Richong Zhang, Yongyi Mao

Neurocomputing, 2022

Cross Domain Few-Shot Learning via Meta Adversarial Training.

Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao

CoRR, 2022

Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation.

Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao

CoRR, 2022

Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding.

Xiyang Liu, Tong Zhu, Huobin Tan, Richong Zhang

Proceedings of the Semantic Web - ISWC 2022, 2022

On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training.

Chune Li, Yongyi Mao, Richong Zhang

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Text Style Transferring via Adversarial Masking and Styled Filling.

Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning.

Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DropMix: A Textual Data Augmentation Combining Dropout with Mixup.

Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Explicit Role Interaction Network for Event Argument Extraction.

Nan Ding, Chunming Hu, Kai Sun, Samuel Mensah, Richong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding.

Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models.

Ling Ge, Chunming Hu, Guanghui Ma, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Robust False Information Detection on Social Networks with Contrastive Learning.

Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Regularizing Deep Text Models by Encouraging Competition.

Jiaran Li, Richong Zhang, Yuan Tian

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition.

Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives.

Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Semantic Association Learning with Latent Label Inference.

Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao

Proceedings of the WWW '21: The Web Conference 2021, 2021

Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing.

Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Regularization with Adversarial Labelling of Perturbed Samples.

Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Regularizing Neural Networks via Adversarial Model Perturbation.

Yaowei Zheng, Richong Zhang, Yongyi Mao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Keyphrase Extraction with Incomplete Annotated Training Data.

Yanfei Lei, Chunming Hu, Guanghui Ma, Richong Zhang

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Hypernym Discovery via a Recurrent Mapping Model.

Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Scalar Embedding of Relative Positions in Attention Models.

Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities.

Richong Zhang, Samuel Mensah, Fanshuang Kong, Zhiyuan Hu, Yongyi Mao, Xudong Liu

ACM Trans. Inf. Syst., 2020

Knowledge graphs completion via probabilistic reasoning.

Richong Zhang, Yongyi Mao, Weihua Zhao

Inf. Sci., 2020

A revisit to MacKay algorithm and its application to deep network compression.

Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai

Frontiers Comput. Sci., 2020

On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions.

Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang

CoRR, 2020

A Probabilistic Model for User Interest Propagation in Recommender Systems.

Samuel Mensah, Chunming Hu, Xue Li, Xudong Liu, Richong Zhang

IEEE Access, 2020

Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification.

Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dynamic Graph Convolutional Networks for Entity Linking.

Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning VAE-LDA Models with Rounded Reparameterization Trick.

Runzhi Tian, Yongyi Mao, Richong Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Parallel Interactive Networks for Multi-Domain Dialogue State Generation.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Dialogue State Tracking with Temporally Expressive Networks.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification.

Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph.

Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers.

Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training.

Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai

ACM Trans. Inf. Syst., 2019

Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams.

Weiren Yu, Jianxin Li, Md. Zakirul Alam Bhuiyan, Richong Zhang, Jinpeng Huai

IEEE Trans. Big Data, 2019

MixUp as Directional Adversarial Training.

Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang

CoRR, 2019

Augmenting Data with Mixup for Sentence Classification: An Empirical Study.

Hongyu Guo, Yongyi Mao, Richong Zhang

CoRR, 2019

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks.

Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao

CoRR, 2019

Movie Recommendation via Markovian Factorization of Matrix Processes.

Richong Zhang, Yongyi Mao

IEEE Access, 2019

Recurrent Neural Networks With Finite Memory Length.

Dingkun Long, Richong Zhang, Yongyi Mao

IEEE Access, 2019

A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity.

Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao

Proceedings of the World Wide Web Conference, 2019

Writing to the Hopfield Memory via Training a Recurrent Network.

Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach.

Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree.

Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.

Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Named Entity Recognition for Open Domain Data Based on Distant Supervision.

Junshuang Wu, Richong Zhang, Ting Deng, Jinpeng Huai

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

A Conditional VAE-Based Conversation Model.

Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

Generating Chinese Ci with Designated Metrical Structure.

Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion.

Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

MixUp as Locally Linear Out-of-Manifold Regularization.

Hongyu Guo, Yongyi Mao, Richong Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On the integration of crowd knowledge in pattern recognition.

Richong Zhang, Yongyi Mao

Pattern Recognit. Lett., 2018

HotML: A DSM-based machine learning system for social networks.

Yangyang Zhang, Jianxin Li, Chenggen Sun, Md. Zakirul Alam Bhuiyan, Weiren Yu, Richong Zhang

J. Comput. Sci., 2018

Context-aware result inference in crowdsourcing.

Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jin-Peng Huai

Inf. Sci., 2018

Prototypical recurrent unit.

Dingkun Long, Richong Zhang, Yongyi Mao

Neurocomputing, 2018

Human mobility semantics analysis: a probabilistic and scalable approach.

Xiaohui Guo, Richong Zhang, Xudong Liu, Jinpeng Huai

GeoInformatica, 2018

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process.

Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang

CoRR, 2018

Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks.

Hongyu Guo, Yongyi Mao, Richong Zhang

CoRR, 2018

Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding.

Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols.

Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Syntax Encoding with Application in Authorship Attribution.

Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The APVA-TURBO Approach To Question Answering in Knowledge Base.

Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao

Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Novel Approach on Entity Linking for Encyclopedia Infoboxes.

Xufeng Li, Jianlei Yang, Richong Zhang, Hongyuan Ma

Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018

Embedding of Hierarchically Typed Knowledge Bases.

Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A probabilistic framework of preference discovery from folksonomy corpus.

Xiaohui Guo, Chunming Hu, Richong Zhang, Jinpeng Huai

Frontiers Comput. Sci., 2017

RPS-TSM: A Robot Perception System Based on Temporal Semantic Map.

Haoyue Wang, Yangyang Zhang, Jianxin Li, Richong Zhang, Md. Zakirul Alam Bhuiyan

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

DPS: A DSM-based Parameter Server for Machine Learning.

Chenggen Sun, Yangyang Zhang, Weiren Yu, Richong Zhang, Md. Zakirul Alam Bhuiyan, Jianxin Li

Proceedings of the 14th International Symposium on Pervasive Systems, 2017

User Interest Propagation and Its Application in Recommender System.

Xue Li, Richong Zhang, Jianxin Li

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

Recommender systems based on ranking performance optimization.

Richong Zhang, Han Bao, Hailong Sun, Yanghao Wang, Xudong Liu

Frontiers Comput. Sci., 2016

iGraph: an incremental data processing system for dynamic graph.

Wuyang Ju, Jianxin Li, Weiren Yu, Richong Zhang

Frontiers Comput. Sci., 2016

Bursty event detection from microblog: a distributed and incremental approach.

Jianxin Li, Jianfeng Wen, Zhenying Tai, Richong Zhang, Weiren Yu

Concurr. Comput. Pract. Exp., 2016

On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm.

Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

On the Representation and Embedding of Knowledge Bases beyond Binary Relations.

Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Discovering Web Services with Reliable Quality: System Architecture and Algorithms.

Richong Zhang, Xudong Liu, Deliang Yi

Proceedings of the IEEE International Conference on Web Services, 2016

Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing.

Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai

Proceedings of the Database Systems for Advanced Applications, 2016

GRU-RNN Based Question Answering Over Knowledge Base.

Shini Chen, Jianfeng Wen, Richong Zhang

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

Predicting the Quality of Web Services Based on User Stability.

Fitriyah Hasny, Samuel Mensah, Deliang Yi, Chune Li, Richong Zhang

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

Discovering Event Evolution Chain in Microblog.

Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

LiveIndex: A Distributed Online Index System for Temporal Microblog Data.

Haifei Huang, Jianxin Li, Richong Zhang, Weiren Yu, Wuyang Ju

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2014

Trust Prediction via Belief Propagation.

Richong Zhang, Yongyi Mao

ACM Trans. Inf. Syst., 2014

A Cooperation Framework Towards the Internet of Applications.

Peilong Xu, Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu

Int. J. Softw. Informatics, 2014

Discovering Semantic Mobility Pattern from Check-in Data.

Ji Yuan, Xudong Liu, Richong Zhang, Hailong Sun, Xiaohui Guo, Yanghao Wang

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

AdaMF: Adaptive Boosting Matrix Factorization for Recommender System.

Yanghao Wang, Hailong Sun, Richong Zhang

Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach.

Lu Lin, Jianxin Li, Richong Zhang, Weiren Yu, Chenggen Sun

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Online Bursty Event Detection from Microblog.

Jianxin Li, Zhenying Tai, Richong Zhang, Weiren Yu, Lu Liu

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Using Sequential Pattern Mining and Interactive Recommendation to Assist Pipe-like Mashup Development.

Xinyi Liu, Hailong Sun, Hanxiong Wu, Richong Zhang, Xudong Liu

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

A Novel Approach for API Recommendation in Mashup Development.

Chune Li, Richong Zhang, Jinpeng Huai, Hailong Sun

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows.

Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Quality of Web Service Prediction by Collective Matrix Factorization.

Richong Zhang, Chune Li, Hailong Sun, Yanghao Wang, Jinpeng Huai

Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013

A Cooperation Model Towards the Federated Internet of Applications

Zhe Zhang, Xudong Liu, Hailong Sun, Richong Zhang, Fei Wang

CoRR, 2013

Time-Aware Travel Attraction Recommendation.

Kai Wang, Richong Zhang, Xudong Liu, Xiaohui Guo, Hailong Sun, Jinpeng Huai

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Discovering User Preference from Folksonomy.

Xiaohui Guo, Richong Zhang, Jinpeng Huai, Hailong Sun, Xudong Liu

Proceedings of the IEEE International Conference on Systems, 2013

A cooperation model towards the internet of applications.

Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu, Peilong Xu

Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

A Cooperation Based Metric for Mobile Applications Recommendation.

Fei Wang, Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

Modeling the Performance of MapReduce under Resource Contentions and Task Failures.

Xiaolong Cui, Xuelian Lin, Chunming Hu, Richong Zhang, Chengzhang Wang

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

A Probabilistic Approach for Web Service Discovery.

Chune Li, Richong Zhang, Jinpeng Huai, Xiaohui Guo, Hailong Sun

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

2012

Opinion helpfulness prediction in the presence of "words of few mouths".

Richong Zhang, Thomas T. Tran, Yongyi Mao

World Wide Web, 2012

Real-time helpfulness prediction based on voter opinions.

Richong Zhang, Thomas T. Tran, Yongyi Mao

Concurr. Comput. Pract. Exp., 2012

Generating Tourism Path from Trajectories and Geo-Photos.

Zhixing Zeng, Richong Zhang, Xudong Liu, Xiaohui Guo, Hailong Sun

Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

A Tourist Itinerary Planning Approach Based on Ant Colony Algorithm.

Lei Yang, Richong Zhang, Hailong Sun, Xiaohui Guo, Jinpeng Huai

Proceedings of the Web-Age Information Management - 13th International Conference, 2012

Optimizing pipe-like mashup execution for improving resource utilization.

Jingbo Xu, Hailong Sun, Xu Wang, Xudong Liu, Richong Zhang

Proceedings of the 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012

gTravel: a global social travel system.

Richong Zhang, Xiaohui Guo, Hailong Sun, Jinpeng Huai, Xudong Liu

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

A Personalized Trust-Aware Model for Travelogue Discovering.

Shilong Zhang, Richong Zhang, Xudong Liu, Hailong Sun

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

A Web Service Recommendation Approach Based on QoS Prediction Using Fuzzy Clustering.

Meng Zhang, Xudong Liu, Richong Zhang, Hailong Sun

Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012

2011

A helpfulness modeling framework for electronic word-of-mouth on consumer opinion platforms.

Richong Zhang, Thomas T. Tran

ACM Trans. Intell. Syst. Technol., 2011

An information gain-based approach for recommending useful product reviews.

Richong Zhang, Thomas T. Tran

Knowl. Inf. Syst., 2011

Recommender Systems from "Words of Few Mouths".

Richong Zhang, Thomas T. Tran, Yongyi Mao

Proceedings of the IJCAI 2011, 2011

2010

Review recommendation with graphical model and EM algorithm.

Richong Zhang, Thomas T. Tran

Proceedings of the 19th International Conference on World Wide Web, 2010

Probabilistic Modeling of User-Generated Reviews.

Richong Zhang, Thomas T. Tran

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

A Novel Approach for Recommending Ranked User-Generated Reviews.

Richong Zhang, Thomas T. Tran

Proceedings of the Advances in Artificial Intelligence, 2010

2009

Helping E-Commerce Consumers Make Good Purchase Decisions: A User Reviews-Based Approach.

Richong Zhang, Thomas T. Tran

Proceedings of the E-Technologies: Innovation in an Open World, 2009

2008

An Entropy-Based Model for Discovering the Usefulness of Online Product Reviews.

Richong Zhang, Thomas T. Tran

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

2007

Automatic Web Page Categorization using Principal Component Analysis.

Richong Zhang, Michael A. Shepherd, Jack Duffy, Carolyn R. Watters

Proceedings of the 40th Hawaii International International Conference on Systems Science (HICSS-40 2007), 2007