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2020 – today
- 2023
[j30]Jiaran Li, Richong Zhang, Samuel Mensah, Wenyi Qin, Chunming Hu:
Classification-oriented dawid skene model for transferring intelligence from crowds to machines. Frontiers Comput. Sci. 17(5): 175332 (2023)- [j29]Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation. IEEE Trans. Knowl. Data Eng. 35(10): 10464-10477 (2023) - [j28]Kai Sun
, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Learning Implicit and Explicit Multi-task Interactions for Information Extraction. ACM Trans. Inf. Syst. 41(2): 27:1-27:29 (2023) - [j27]Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao:
Knowledge Base Embedding for Sampling-Based Prediction. ACM Trans. Inf. Syst. 41(2): 28:1-28:25 (2023) - [c94]Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI 2023: 12626-12634 - [c93]Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao:
Multi-Mask Label Mapping for Prompt-Based Learning. AAAI 2023: 13465-13473 - [c92]Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen:
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. ACL (Findings) 2023: 7286-7300 - [c91]Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim:
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. ACL (1) 2023: 16369-16382 - [c90]Zhijie Nie, Richong Zhang, Yongyi Mao:
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR 2023 - [c89]Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao:
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD 2023: 226-236 - [c88]Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen:
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. RepL4NLP@ACL 2023: 253-265 - [c87]Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao:
Word Sense Disambiguation by Refining Target Word Embedding. WWW 2023: 1405-1414 - [c86]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. WWW 2023: 1594-1603 - [i25]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR abs/2302.14719 (2023) - [i24]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR abs/2305.09269 (2023) - [i23]Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR abs/2305.09287 (2023) - [i22]Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, Rui Zhao:
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic. CoRR abs/2306.15195 (2023) - [i21]Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. CoRR abs/2309.04695 (2023) - [i20]Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. CoRR abs/2309.06453 (2023) - 2022
- [j26]Han Bao, Richong Zhang, Yongyi Mao:
The capacity of the dense associative memory networks. Neurocomputing 469: 198-208 (2022) - [j25]Junshuang Wu, Richong Zhang, Yongyi Mao, Jinpeng Huai:
Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1305-1318 (2022) - [j24]Richong Zhang, Qianben Chen, Yaowei Zheng, Samuel Mensah, Yongyi Mao:
Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2568-2583 (2022) - [c85]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI 2022: 10492-10500 - [c84]Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao:
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. AAAI 2022: 11730-11738 - [c83]Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang:
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition. ACL (1) 2022: 170-179 - [c82]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking. ACL (Findings) 2022: 1449-1458 - [c81]Jiaran Li, Richong Zhang, Yuan Tian:
Regularizing Deep Text Models by Encouraging Competition. CCKS 2022: 161-173 - [c80]Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang:
Towards Robust False Information Detection on Social Networks with Contrastive Learning. CIKM 2022: 1441-1450 - [c79]Ling Ge, Chunming Hu, Guanghui Ma, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang:
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models. COLING 2022: 1036-1050 - [c78]Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao:
DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP 2022: 890-899 - [c77]Nan Ding, Chunming Hu, Kai Sun, Samuel Mensah, Richong Zhang:
Explicit Role Interaction Network for Event Argument Extraction. EMNLP (Findings) 2022: 3475-3485 - [c76]Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. EMNLP (Findings) 2022: 3952-3962 - [c75]Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP 2022: 7654-7663 - [c74]Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao:
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. EMNLP 2022: 8549-8559 - [c73]Chune Li, Yongyi Mao, Richong Zhang:
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. ICTAI 2022: 577-584 - [c72]Xiyang Liu, Tong Zhu, Huobin Tan, Richong Zhang:
Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding. ISWC 2022: 284-302 - [i19]Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. CoRR abs/2201.08702 (2022) - [i18]Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao:
Cross Domain Few-Shot Learning via Meta Adversarial Training. CoRR abs/2202.05713 (2022) - 2021
- [c71]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. AAAI 2021: 13851-13859 - [c70]Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen:
On Scalar Embedding of Relative Positions in Attention Models. AAAI 2021: 14050-14057 - [c69]Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao:
Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) 2021: 2912-2921 - [c68]Yanfei Lei, Chunming Hu, Guanghui Ma, Richong Zhang:
Keyphrase Extraction with Incomplete Annotated Training Data. W-NUT 2021: 26-34 - [c67]Yaowei Zheng, Richong Zhang, Yongyi Mao:
Regularizing Neural Networks via Adversarial Model Perturbation. CVPR 2021: 8156-8165 - [c66]Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. IJCAI 2021: 2490-2496 - [c65]Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai:
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. IJCAI 2021: 3950-3956 - [c64]Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao:
Unsupervised Semantic Association Learning with Latent Label Inference. WWW 2021: 4010-4019 - [i17]Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. CoRR abs/2105.13745 (2021) - 2020
- [j23]Samuel Mensah, Chunming Hu, Xue Li, Xudong Liu, Richong Zhang:
A Probabilistic Model for User Interest Propagation in Recommender Systems. IEEE Access 8: 108300-108309 (2020) - [j22]Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai:
A revisit to MacKay algorithm and its application to deep network compression. Frontiers Comput. Sci. 14(4): 144304 (2020) - [j21]Richong Zhang, Yongyi Mao, Weihua Zhao:
Knowledge graphs completion via probabilistic reasoning. Inf. Sci. 521: 144-159 (2020) - [j20]Richong Zhang, Samuel Mensah, Fanshuang Kong, Zhiyuan Hu, Yongyi Mao, Xudong Liu:
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities. ACM Trans. Inf. Syst. 38(4): 36:1-36:28 (2020) - [c63]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI 2020: 5810-5817 - [c62]Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu:
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. AAAI 2020: 8928-8935 - [c61]Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao:
Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. AAAI 2020: 9685-9692 - [c60]Runzhi Tian, Yongyi Mao, Richong Zhang:
Learning VAE-LDA Models with Rounded Reparameterization Trick. EMNLP (1) 2020: 1315-1325 - [c59]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) 2020: 1570-1579 - [c58]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) 2020: 1921-1931 - [c57]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. EMNLP (1) 2020: 3722-3732 - [c56]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. WWW 2020: 1149-1159 - [c55]Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao:
Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. WWW 2020: 2754-2760 - [i16]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR abs/2001.03955 (2020) - [i15]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. CoRR abs/2005.00162 (2020) - [i14]Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang:
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR abs/2009.04413 (2020) - [i13]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR abs/2009.07615 (2020) - [i12]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR abs/2009.07616 (2020) - [i11]Yaowei Zheng, Richong Zhang, Yongyi Mao:
Regularizing Neural Networks via Adversarial Model Perturbation. CoRR abs/2010.04925 (2020)
2010 – 2019
- 2019
- [j19]Dingkun Long, Richong Zhang, Yongyi Mao:
Recurrent Neural Networks With Finite Memory Length. IEEE Access 7: 12511-12520 (2019) - [j18]Richong Zhang, Yongyi Mao:
Movie Recommendation via Markovian Factorization of Matrix Processes. IEEE Access 7: 13189-13199 (2019) - [j17]Weiren Yu, Jianxin Li, Md. Zakirul Alam Bhuiyan, Richong Zhang, Jinpeng Huai:
Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams. IEEE Trans. Big Data 5(4): 506-519 (2019) - [j16]Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai:
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training. ACM Trans. Inf. Syst. 37(4): 40:1-40:26 (2019) - [c54]Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng:
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI 2019: 2895-2902 - [c53]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI 2019: 3714-3722 - [c52]Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao:
Generating Chinese Ci with Designated Metrical Structure. AAAI 2019: 7459-7467 - [c51]Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao:
A Conditional VAE-Based Conversation Model. CCKS 2019: 165-174 - [c50]Junshuang Wu, Richong Zhang, Ting Deng, Jinpeng Huai:
Named Entity Recognition for Open Domain Data Based on Distant Supervision. CCKS 2019: 185-197 - [c49]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) 2019: 326-336 - [c48]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP/IJCNLP (1) 2019: 5678-5687 - [c47]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. IJCAI 2019: 5264-5270 - [c46]Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai:
Writing to the Hopfield Memory via Training a Recurrent Network. PRICAI (2) 2019: 241-254 - [c45]Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao:
A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. WWW 2019: 2929-2935 - [i10]Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao:
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. CoRR abs/1903.00906 (2019) - [i9]Hongyu Guo, Yongyi Mao, Richong Zhang:
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR abs/1905.08941 (2019) - [i8]Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang:
MixUp as Directional Adversarial Training. CoRR abs/1906.06875 (2019) - [i7]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR abs/1909.05448 (2019) - 2018
- [j15]Xiaohui Guo, Richong Zhang, Xudong Liu, Jinpeng Huai:
Human mobility semantics analysis: a probabilistic and scalable approach. GeoInformatica 22(3): 507-539 (2018) - [j14]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical recurrent unit. Neurocomputing 311: 146-154 (2018) - [j13]Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jin-Peng Huai:
Context-aware result inference in crowdsourcing. Inf. Sci. 460-461: 346-363 (2018) - [j12]Yangyang Zhang, Jianxin Li, Chenggen Sun, Md. Zakirul Alam Bhuiyan, Weiren Yu, Richong Zhang:
HotML: A DSM-based machine learning system for social networks. J. Comput. Sci. 26: 478-487 (2018) - [j11]Richong Zhang, Yongyi Mao:
On the integration of crowd knowledge in pattern recognition. Pattern Recognit. Lett. 106: 1-6 (2018) - [c44]Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao:
Embedding of Hierarchically Typed Knowledge Bases. AAAI 2018: 2046-2053 - [c43]Xufeng Li, Jianlei Yang, Richong Zhang, Hongyuan Ma:
A Novel Approach on Entity Linking for Encyclopedia Infoboxes. CCKS 2018: 103-115 - [c42]Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao:
The APVA-TURBO Approach To Question Answering in Knowledge Base. COLING 2018: 1998-2009 - [c41]Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao:
Syntax Encoding with Application in Authorship Attribution. EMNLP 2018: 2742-2753 - [c40]Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng:
On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. SIGIR 2018: 755-764 - [c39]Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao:
Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding. WWW 2018: 1185-1194 - [i6]Hongyu Guo, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. CoRR abs/1807.10251 (2018) - [i5]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. CoRR abs/1809.02499 (2018) - [i4]Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang:
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. CoRR abs/1809.07688 (2018) - 2017
- [j10]Xiaohui Guo, Chunming Hu, Richong Zhang, Jinpeng Huai:
A probabilistic framework of preference discovery from folksonomy corpus. Frontiers Comput. Sci. 11(6): 1075-1084 (2017) - [c38]Xue Li, Richong Zhang, Jianxin Li:
User Interest Propagation and Its Application in Recommender System. ICTAI 2017: 218-222 - [c37]Chenggen Sun, Yangyang Zhang, Weiren Yu, Richong Zhang, Md. Zakirul Alam Bhuiyan, Jianxin Li:
DPS: A DSM-based Parameter Server for Machine Learning. ISPAN-FCST-ISCC 2017: 20-27 - [c36]Haoyue Wang, Yangyang Zhang, Jianxin Li, Richong Zhang, Md. Zakirul Alam Bhuiyan:
RPS-TSM: A Robot Perception System Based on Temporal Semantic Map. SpaCCS Workshops 2017: 524-533 - 2016
- [j9]Jianxin Li, Jianfeng Wen, Zhenying Tai, Richong Zhang, Weiren Yu:
Bursty event detection from microblog: a distributed and incremental approach. Concurr. Comput. Pract. Exp. 28(11): 3115-3130 (2016) - [j8]Richong Zhang, Han Bao, Hailong Sun, Yanghao Wang, Xudong Liu:
Recommender systems based on ranking performance optimization. Frontiers Comput. Sci. 10(2): 270-280 (2016) - [j7]Wuyang Ju, Jianxin Li, Weiren Yu, Richong Zhang:
iGraph: an incremental data processing system for dynamic graph. Frontiers Comput. Sci. 10(3): 462-476 (2016) - [c35]Fitriyah Hasny, Samuel Mensah, Deliang Yi, Chune Li, Richong Zhang:
Predicting the Quality of Web Services Based on User Stability. SCC 2016: 860-863 - [c34]Shini Chen, Jianfeng Wen, Richong Zhang:
GRU-RNN Based Question Answering Over Knowledge Base. CCKS 2016: 80-91 - [c33]Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai:
Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing. DASFAA (1) 2016: 33-48 - [c32]Richong Zhang, Xudong Liu, Deliang Yi:
Discovering Web Services with Reliable Quality: System Architecture and Algorithms. ICWS 2016: 654-657 - [c31]Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang:
On the Representation and Embedding of Knowledge Bases beyond Binary Relations. IJCAI 2016: 1300-1307 - [c30]Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai:
On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm. UAI 2016 - [i3]Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang:
On the representation and embedding of knowledge bases beyond binary relations. CoRR abs/1604.08642 (2016) - [i2]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical Recurrent Unit. CoRR abs/1611.06530 (2016) - 2015
- [c29]Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei:
Discovering Event Evolution Chain in Microblog. HPCC/CSS/ICESS 2015: 635-640 - [c28]Haifei Huang, Jianxin Li, Richong Zhang, Weiren Yu, Wuyang Ju:
LiveIndex: A Distributed Online Index System for Temporal Microblog Data. HPCC/CSS/ICESS 2015: 884-887 - 2014
- [j6]Peilong Xu, Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu:
A Cooperation Framework Towards the Internet of Applications. Int. J. Softw. Informatics 8(1): 43-66 (2014)