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Richong Zhang
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Publications
- 2024
- [c98]Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI 2024: 13590-13599 - [c97]Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao:
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI 2024: 18399-18407 - 2023
- [j31]Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao:
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14807-14820 (2023) - [j30]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) - [j29]Junfan Chen, Richong Zhang, Jie Xu, Chunming Hu, Yongyi Mao:
A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 35(11): 10992-11003 (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) - [c95]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 - [c94]Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao:
Multi-Mask Label Mapping for Prompt-Based Learning. AAAI 2023: 13465-13473 - [c91]Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao:
Anaphor Assisted Document-Level Relation Extraction. EMNLP 2023: 15453-15464 - [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 - [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 - [i26]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) - [i25]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR abs/2305.09269 (2023) - [i24]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) - [i21]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) - [i20]Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao:
Anaphor Assisted Document-Level Relation Extraction. CoRR abs/2310.18604 (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 - [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 - [c78]Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao:
DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP 2022: 890-899 - [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 - [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 - [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
- [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) - 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) - [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 - [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
- [j14]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical recurrent unit. Neurocomputing 311: 146-154 (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 - [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) - 2016
- [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) - 2014
- [j5]Richong Zhang, Yongyi Mao:
Trust Prediction via Belief Propagation. ACM Trans. Inf. Syst. 32(3): 15:1-15:27 (2014) - [c26]Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao:
A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. AAAI 2014: 3102-3103 - 2012
- [j4]Richong Zhang, Thomas T. Tran, Yongyi Mao:
Real-time helpfulness prediction based on voter opinions. Concurr. Comput. Pract. Exp. 24(17): 2167-2178 (2012) - [j3]Richong Zhang, Thomas T. Tran, Yongyi Mao:
Opinion helpfulness prediction in the presence of "words of few mouths". World Wide Web 15(2): 117-138 (2012) - 2011
- [c7]Richong Zhang, Thomas T. Tran, Yongyi Mao:
Recommender Systems from "Words of Few Mouths". IJCAI 2011: 2379-2384
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last updated on 2024-03-28 20:12 CET by the dblp team
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