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2020 – today
- 2025
[j35]Xuefeng Zhang, Junfan Chen, Zheyan Luo, Yuhang Bai, Chunming Hu, Richong Zhang:
A multi-projection recurrent model for hypernym detection and discovery. Frontiers Comput. Sci. 19(4): 194312 (2025)- 2024
- [j34]Zhuoran Li
, Chunming Hu, Richong Zhang, Junfan Chen, Xiaohui Guo:
Zero-Shot Cross-Lingual Named Entity Recognition via Progressive Multi-Teacher Distillation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4617-4630 (2024) - [j33]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): 130:1-130:25 (2024) - [c110]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 - [c109]Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao:
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI 2024: 18399-18407 - [c108]Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. AAAI 2024: 18833-18841 - [c107]Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu:
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization. ACL (1) 2024: 2170-2180 - [c106]Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim:
Progressively Modality Freezing for Multi-Modal Entity Alignment. ACL (1) 2024: 3477-3489 - [c105]Mingxin Li, Richong Zhang, Zhijie Nie:
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. ACL (1) 2024: 14506-14521 - [c104]Yuan Ren, Xutong Li, Xudong Liu, Richong Zhang:
Few-Shot KBQA Method Based on Multi-Task Learning. BigComp 2024: 226-233 - [c103]Likang Xiao, Zijie Chen, Richong Zhang, Junfan Chen:
Attentional Neural Integral Equation for Temporal Knowledge Graph Forecasting. CIKM 2024: 4128-4132 - [c102]Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang:
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching. IJCAI 2024: 6388-6396 - [c101]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: 2272-2283 - [c100]Zhangchi Feng, Richong Zhang, Zhijie Nie:
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives. ACM Multimedia 2024: 1632-1641 - [c99]Dezhi Liu, Richong Zhang, Junfan Chen, Xinyue Chen:
Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding. WWW 2024: 2193-2203 - [c98]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: 4283-4294 - [c97]Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao:
Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. WWW 2024: 4352-4361 - [c96]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: 4362-4371 - [i37]Mingxin Li, Richong Zhang, Zhijie Nie:
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. CoRR abs/2402.18281 (2024) - [i36]Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Yongqiang Ma:
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models. CoRR abs/2403.13372 (2024) - [i35]Zhangchi Feng, Richong Zhang, Zhijie Nie:
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives. CoRR abs/2404.11317 (2024) - [i34]Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang:
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching. CoRR abs/2406.13361 (2024) - [i33]Zhijie Nie, Richong Zhang, Zhanyu Wu:
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens. CoRR abs/2406.17378 (2024) - [i32]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 abs/2406.18254 (2024) - [i31]Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim:
Progressively Modality Freezing for Multi-Modal Entity Alignment. CoRR abs/2407.16168 (2024) - [i30]Fanshuang Kong, Richong Zhang, Ziqiao Wang:
Activated Parameter Locating via Causal Intervention for Model Merging. CoRR abs/2408.09485 (2024) - [i29]Zhongyuan Wang, Richong Zhang, Zhijie Nie, Jaein Kim:
Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios. CoRR abs/2408.16991 (2024) - [i28]Zhangchi Feng, Dongdong Kuang, Zhongyuan Wang, Zhijie Nie, Yaowei Zheng, Richong Zhang:
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations. CoRR abs/2410.10315 (2024) - [i27]Mingxin Li, Zhijie Nie, Yanzhao Zhang, Dingkun Long, Richong Zhang, Pengjun Xie:
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging. CoRR abs/2410.15035 (2024) - 2023
- [j32]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) - [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 - [c93]Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen:
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. ACL (Findings) 2023: 7286-7300 - [c92]Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim:
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. ACL (1) 2023: 16369-16382 - [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 - [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 - [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) - [i23]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) - [i22]Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. CoRR abs/2309.04695 (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 - [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]