Richong Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 136

Top Venues

CoRR

AAAI

WWW

ACM Trans. Inf. Syst.

Publications

Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao
Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. WWW (2024)
Zhangchi Feng, Richong Zhang, Zhijie Nie
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives. CoRR (2024)
Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching. CoRR (2024)
Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. CoRR (2024)
Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Yongqiang Ma
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models. CoRR (2024)
Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization. ACL (1) (2024)
Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim
Progressively Modality Freezing for Multi-Modal Entity Alignment. ACL (1) (2024)
Yuan Ren, Xutong Li, Xudong Liu, Richong Zhang
Few-Shot KBQA Method Based on Multi-Task Learning. BigComp (2024)
Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI (2024)
Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI (2024)
Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao
Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. WWW (2024)
Dezhi Liu, Richong Zhang, Junfan Chen, Xinyue Chen
Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding. WWW (2024)
Zhijie Nie, Richong Zhang, Zhanyu Wu
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens. CoRR (2024)
Junfan Chen, Richong Zhang, Xiaohan Jiang, Chunming Hu
SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification. ACM Trans. Inf. Syst. 42 (5) (2024)
Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim
Progressively Modality Freezing for Multi-Modal Entity Alignment. CoRR (2024)
Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao
DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. WWW (2024)
Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu
Code-Style In-Context Learning for Knowledge-Based Question Answering. AAAI (2024)
Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. KDD (2024)
Mingxin Li, Richong Zhang, Zhijie Nie
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. CoRR (2024)
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) (2023)
Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu
Code-Style In-Context Learning for Knowledge-Based Question Answering. CoRR (2023)
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) (2023)
Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao
Multi-Mask Label Mapping for Prompt-Based Learning. AAAI (2023)
Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. RepL4NLP@ACL (2023)
Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR (2023)
Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. CoRR (2023)
Richong Zhang, Jaein Kim, Jiajie Mei, Yongyi Mao
Knowledge Base Embedding for Sampling-Based Prediction. ACM Trans. Inf. Syst. 41 (2) (2023)
Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR (2023)
Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. ACL (Findings) (2023)
Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI (2023)
Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, Rui Zhao
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic. CoRR (2023)
Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD (2023)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR (2023)
Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
Anaphor Assisted Document-Level Relation Extraction. EMNLP (2023)
Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
Anaphor Assisted Document-Level Relation Extraction. CoRR (2023)
Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. ACL (1) (2023)
Zhijie Nie, Richong Zhang, Yongyi Mao
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR (2023)
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) (2023)
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) (2023)
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)
Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao
Word Sense Disambiguation by Refining Target Word Embedding. WWW (2023)
Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. EMNLP (2022)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI (2022)
Jiaran Li, Richong Zhang, Yuan Tian
Regularizing Deep Text Models by Encouraging Competition. CCKS (2022)
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)
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)
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)
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 (2022)
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)
Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. AAAI (2022)
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)
Chune Li, Yongyi Mao, Richong Zhang
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. ICTAI (2022)
Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. CoRR (2022)
Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao
Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP (2022)
Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao
DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP (2022)
Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao
Cross Domain Few-Shot Learning via Meta Adversarial Training. CoRR (2022)
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 (2022)
Xiyang Liu, Tong Zhu, Huobin Tan, Richong Zhang
Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding. ISWC (2022)
Nan Ding, Chunming Hu, Kai Sun, Samuel Mensah, Richong Zhang
Explicit Role Interaction Network for Event Argument Extraction. EMNLP (Findings) (2022)
Han Bao, Richong Zhang, Yongyi Mao
The capacity of the dense associative memory networks. Neurocomputing 469 (2022)
Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen
On Scalar Embedding of Relative Positions in Attention Models. AAAI (2021)
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)
Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao
Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) (2021)
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
Robust Regularization with Adversarial Labelling of Perturbed Samples. CoRR (2021)
Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao
Unsupervised Semantic Association Learning with Latent Label Inference. WWW (2021)
Yanfei Lei, Chunming Hu, Guanghui Ma, Richong Zhang
Keyphrase Extraction with Incomplete Annotated Training Data. W-NUT (2021)
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)
Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
Robust Regularization with Adversarial Labelling of Perturbed Samples. IJCAI (2021)
Yaowei Zheng, Richong Zhang, Yongyi Mao
Regularizing Neural Networks via Adversarial Model Perturbation. CVPR (2021)
Richong Zhang, Yongyi Mao, Weihua Zhao
Knowledge graphs completion via probabilistic reasoning. Inf. Sci. 521 (2020)
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)
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. CoRR (2020)
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) (2020)
Runzhi Tian, Yongyi Mao, Richong Zhang
Learning VAE-LDA Models with Rounded Reparameterization Trick. EMNLP (1) (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) (2020)
Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai
Dynamic Graph Convolutional Networks for Entity Linking. WWW (2020)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR (2020)
Samuel Mensah, Chunming Hu, Xue Li, Xudong Liu, Richong Zhang
A Probabilistic Model for User Interest Propagation in Recommender Systems. IEEE Access 8 (2020)
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. EMNLP (1) (2020)
Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. AAAI (2020)
Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR (2020)
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)
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) (2020)
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI (2020)
Yaowei Zheng, Richong Zhang, Yongyi Mao
Regularizing Neural Networks via Adversarial Model Perturbation. CoRR (2020)
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) (2020)
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR (2020)
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)
Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai
Writing to the Hopfield Memory via Training a Recurrent Network. PRICAI (2) (2019)
Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao
A Conditional VAE-Based Conversation Model. CCKS (2019)
Hongyu Guo, Yongyi Mao, Richong Zhang
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR (2019)
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP/IJCNLP (1) (2019)
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)
Hongyu Guo, Yongyi Mao, Richong Zhang
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI (2019)
Dingkun Long, Richong Zhang, Yongyi Mao
Recurrent Neural Networks With Finite Memory Length. IEEE Access 7 (2019)
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) (2019)
Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI (2019)
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
Generating Chinese Ci with Designated Metrical Structure. AAAI (2019)

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Publication Activity (10 Years)

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Richong Zhang