Zhang, Richong

32 publications

ICLR 2025 GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction Si Chen, Richong Zhang, Xu Zhang

NeurIPS 2025 HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning Si Chen, Yifei Li, Richong Zhang

AAAI 2025 Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Richong Zhang

AAAI 2025 Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding Dongdong Kuang, Richong Zhang, Zhijie Nie, Junfan Chen, Jaein Kim

AAAI 2025 Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities Junchi Chen, Richong Zhang, Junfan Chen

AAAI 2024 Code-Style In-Context Learning for Knowledge-Based Question Answering Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu

IJCAI 2024 Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang

AAAI 2024 Narrowing the Gap Between Supervised and Unsupervised Sentence Representation Learning with Large Language Model Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao

AAAI 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao

AAAI 2023 Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

AAAI 2023 Multi-Mask Label Mapping for Prompt-Based Learning Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao

ICLR 2023 On the Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations Zhijie Nie, Richong Zhang, Yongyi Mao

AAAI 2022 ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

AAAI 2022 Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao

IJCAI 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

AAAI 2021 On Scalar Embedding of Relative Positions in Attention Models Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen

AAAI 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

CVPR 2021 Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng, Richong Zhang, Yongyi Mao

IJCAI 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao

AAAI 2020 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang

ICLR 2020 MixUp as Directional Adversarial Training Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang

AAAI 2020 Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu

AAAI 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

AAAI 2019 Generating Chinese Ci with Designated Metrical Structure Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao

AAAI 2019 LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng

AAAI 2019 MixUp as Locally Linear Out-of-Manifold Regularization Hongyu Guo, Yongyi Mao, Richong Zhang

IJCAI 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

AAAI 2018 Embedding of Hierarchically Typed Knowledge Bases Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao

UAI 2016 On Hyper-Parameter Estimation in Empirical Bayes: A Revisit of the MacKay Algorithm Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai

IJCAI 2016 On the Representation and Embedding of Knowledge Bases Beyond Binary Relations Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang

AAAI 2014 A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao

IJCAI 2011 Recommender Systems from "Words of Few Mouths" Richong Zhang, Thomas T. Tran, Yongyi Mao