Richong Zhang

Orcid: 0000-0002-1207-0300

According to our database1, Richong Zhang authored at least 161 papers between 2007 and 2025.

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Bibliography

2025
A multi-projection recurrent model for hypernym detection and discovery.
Frontiers Comput. Sci., April, 2025

2024
SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification.
ACM Trans. Inf. Syst., September, 2024

Zero-Shot Cross-Lingual Named Entity Recognition via Progressive Multi-Teacher Distillation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging.
CoRR, 2024

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations.
CoRR, 2024

Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios.
CoRR, 2024

Activated Parameter Locating via Causal Intervention for Model Merging.
CoRR, 2024

A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens.
CoRR, 2024

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.
CoRR, 2024

Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding.
Proceedings of the ACM on Web Conference 2024, 2024

Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners.
Proceedings of the ACM on Web Conference 2024, 2024

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.
Proceedings of the ACM on Web Conference 2024, 2024

Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification.
Proceedings of the ACM on Web Conference 2024, 2024

Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Attentional Neural Integral Equation for Temporal Knowledge Graph Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Few-Shot KBQA Method Based on Multi-Task Learning.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Progressively Modality Freezing for Multi-Modal Entity Alignment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Code-Style In-Context Learning for Knowledge-Based Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Information Bottleneck and Aggregated Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation.
IEEE Trans. Knowl. Data Eng., October, 2023

Classification-oriented dawid skene model for transferring intelligence from crowds to machines.
Frontiers Comput. Sci., October, 2023

Knowledge Base Embedding for Sampling-Based Prediction.
ACM Trans. Inf. Syst., April, 2023

Learning Implicit and Explicit Multi-task Interactions for Information Extraction.
ACM Trans. Inf. Syst., April, 2023

Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.
CoRR, 2023

AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime.
CoRR, 2023

Word Sense Disambiguation by Refining Target Word Embedding.
Proceedings of the ACM Web Conference 2023, 2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.
Proceedings of the ACM Web Conference 2023, 2023

Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Open-Set Semi-Supervised Text Classification with Latent Outlier Softening.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Anaphor Assisted Document-Level Relation Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-Mask Label Mapping for Prompt-Based Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

The capacity of the dense associative memory networks.
Neurocomputing, 2022

Cross Domain Few-Shot Learning via Meta Adversarial Training.
CoRR, 2022

Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation.
CoRR, 2022

Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding.
Proceedings of the Semantic Web - ISWC 2022, 2022

On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Text Style Transferring via Adversarial Masking and Styled Filling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DropMix: A Textual Data Augmentation Combining Dropout with Mixup.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Explicit Role Interaction Network for Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Robust False Information Detection on Social Networks with Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Regularizing Deep Text Models by Encouraging Competition.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Unsupervised Semantic Association Learning with Latent Label Inference.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Regularization with Adversarial Labelling of Perturbed Samples.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Regularizing Neural Networks via Adversarial Model Perturbation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Keyphrase Extraction with Incomplete Annotated Training Data.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Hypernym Discovery via a Recurrent Mapping Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Scalar Embedding of Relative Positions in Attention Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities.
ACM Trans. Inf. Syst., 2020

Knowledge graphs completion via probabilistic reasoning.
Inf. Sci., 2020

A revisit to MacKay algorithm and its application to deep network compression.
Frontiers Comput. Sci., 2020

On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions.
CoRR, 2020

A Probabilistic Model for User Interest Propagation in Recommender Systems.
IEEE Access, 2020

Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dynamic Graph Convolutional Networks for Entity Linking.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning VAE-LDA Models with Rounded Reparameterization Trick.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Parallel Interactive Networks for Multi-Domain Dialogue State Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Dialogue State Tracking with Temporally Expressive Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training.
ACM Trans. Inf. Syst., 2019

Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams.
IEEE Trans. Big Data, 2019

MixUp as Directional Adversarial Training.
CoRR, 2019

Augmenting Data with Mixup for Sentence Classification: An Empirical Study.
CoRR, 2019

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks.
CoRR, 2019

Movie Recommendation via Markovian Factorization of Matrix Processes.
IEEE Access, 2019

Recurrent Neural Networks With Finite Memory Length.
IEEE Access, 2019

A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity.
Proceedings of the World Wide Web Conference, 2019

Writing to the Hopfield Memory via Training a Recurrent Network.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Named Entity Recognition for Open Domain Data Based on Distant Supervision.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

A Conditional VAE-Based Conversation Model.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

Generating Chinese Ci with Designated Metrical Structure.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

MixUp as Locally Linear Out-of-Manifold Regularization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
On the integration of crowd knowledge in pattern recognition.
Pattern Recognit. Lett., 2018

HotML: A DSM-based machine learning system for social networks.
J. Comput. Sci., 2018

Context-aware result inference in crowdsourcing.
Inf. Sci., 2018

Prototypical recurrent unit.
Neurocomputing, 2018

Human mobility semantics analysis: a probabilistic and scalable approach.
GeoInformatica, 2018

Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process.
CoRR, 2018

Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks.
CoRR, 2018

Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Syntax Encoding with Application in Authorship Attribution.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The APVA-TURBO Approach To Question Answering in Knowledge Base.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Novel Approach on Entity Linking for Encyclopedia Infoboxes.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018

Embedding of Hierarchically Typed Knowledge Bases.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A probabilistic framework of preference discovery from folksonomy corpus.
Frontiers Comput. Sci., 2017

RPS-TSM: A Robot Perception System Based on Temporal Semantic Map.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

DPS: A DSM-based Parameter Server for Machine Learning.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017

User Interest Propagation and Its Application in Recommender System.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Recommender systems based on ranking performance optimization.
Frontiers Comput. Sci., 2016

iGraph: an incremental data processing system for dynamic graph.
Frontiers Comput. Sci., 2016

Bursty event detection from microblog: a distributed and incremental approach.
Concurr. Comput. Pract. Exp., 2016

On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

On the Representation and Embedding of Knowledge Bases beyond Binary Relations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Discovering Web Services with Reliable Quality: System Architecture and Algorithms.
Proceedings of the IEEE International Conference on Web Services, 2016

Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2016

GRU-RNN Based Question Answering Over Knowledge Base.
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

Predicting the Quality of Web Services Based on User Stability.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Discovering Event Evolution Chain in Microblog.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

LiveIndex: A Distributed Online Index System for Temporal Microblog Data.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2014
Trust Prediction via Belief Propagation.
ACM Trans. Inf. Syst., 2014

A Cooperation Framework Towards the Internet of Applications.
Int. J. Softw. Informatics, 2014

Discovering Semantic Mobility Pattern from Check-in Data.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

AdaMF: Adaptive Boosting Matrix Factorization for Recommender System.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Online Bursty Event Detection from Microblog.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Using Sequential Pattern Mining and Interactive Recommendation to Assist Pipe-like Mashup Development.
Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

A Novel Approach for API Recommendation in Mashup Development.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Quality of Web Service Prediction by Collective Matrix Factorization.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
A Cooperation Model Towards the Federated Internet of Applications
CoRR, 2013

Time-Aware Travel Attraction Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Discovering User Preference from Folksonomy.
Proceedings of the IEEE International Conference on Systems, 2013

A cooperation model towards the internet of applications.
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

A Cooperation Based Metric for Mobile Applications Recommendation.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

Modeling the Performance of MapReduce under Resource Contentions and Task Failures.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

A Probabilistic Approach for Web Service Discovery.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

2012
Opinion helpfulness prediction in the presence of "words of few mouths".
World Wide Web, 2012

Real-time helpfulness prediction based on voter opinions.
Concurr. Comput. Pract. Exp., 2012

Generating Tourism Path from Trajectories and Geo-Photos.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

A Tourist Itinerary Planning Approach Based on Ant Colony Algorithm.
Proceedings of the Web-Age Information Management - 13th International Conference, 2012

Optimizing pipe-like mashup execution for improving resource utilization.
Proceedings of the 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012

gTravel: a global social travel system.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

A Personalized Trust-Aware Model for Travelogue Discovering.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

A Web Service Recommendation Approach Based on QoS Prediction Using Fuzzy Clustering.
Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012

2011
A helpfulness modeling framework for electronic word-of-mouth on consumer opinion platforms.
ACM Trans. Intell. Syst. Technol., 2011

An information gain-based approach for recommending useful product reviews.
Knowl. Inf. Syst., 2011

Recommender Systems from "Words of Few Mouths".
Proceedings of the IJCAI 2011, 2011

2010
Review recommendation with graphical model and EM algorithm.
Proceedings of the 19th International Conference on World Wide Web, 2010

Probabilistic Modeling of User-Generated Reviews.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

A Novel Approach for Recommending Ranked User-Generated Reviews.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Helping E-Commerce Consumers Make Good Purchase Decisions: A User Reviews-Based Approach.
Proceedings of the E-Technologies: Innovation in an Open World, 2009

2008
An Entropy-Based Model for Discovering the Usefulness of Online Product Reviews.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

2007
Automatic Web Page Categorization using Principal Component Analysis.
Proceedings of the 40th Hawaii International International Conference on Systems Science (HICSS-40 2007), 2007


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