Mingming Sun

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models.
CoRR, 2024

HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models.
CoRR, 2024

2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix.
CoRR, 2023

Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs.
CoRR, 2023

A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering.
CoRR, 2023

MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules.
Proceedings of the ACM Web Conference 2023, 2023

Dynamic Re-weighting for Long-tailed Semi-supervised Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Adaptable Conservative Q-Learning for Offline Reinforcement Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

On the Overlooked Structure of Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dataset Pruning: Reducing Training Data by Examining Generalization Influence.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Actively Supervised Clustering for Open Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Connectivity Patterns are Task Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

NormNet: Normalize Noun Phrases for More Robust NLP.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence.
CoRR, 2022

CGAR: Critic Guided Action Redistribution in Reinforcement Leaning.
CoRR, 2022

Label-Smoothed Backdoor Attack.
CoRR, 2022

On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science.
CoRR, 2022

S<sup>2</sup>-MLP: Spatial-Shift MLP Architecture for Vision.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Joint Learning of Object Graph and Relation Graph for Visual Question Answering.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix.
Proceedings of the Tenth International Conference on Learning Representations, 2022

SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

CGAR: Critic Guided Action Redistribution in Reinforcement Leaning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
S<sup>2</sup>-MLPv2: Improved Spatial-Shift MLP Architecture for Vision.
CoRR, 2021

MQuadE: a Unified Model for Knowledge Fact Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-Type Textual Reasoning for Product-Aware Answer Generation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Research on Availability Model of Test Aircraft Mission System Based on Mission.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

Causal Discovery with Flow-based Conditional Density Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Rethinking Token-Mixing MLP for MLP-based Vision Backbone.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Improved Touch-screen Inputting Using Sequence-level Prediction Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Extracting Knowledge from Web Text with Monte Carlo Tree Search.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems.
Proceedings of Machine Learning and Systems 2020, 2020

Combo-Attention Network for Baidu Video Advertising.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Reinforced Semi-supervised Neural Network for Helpful Review Identification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Product-Aware Helpfulness Prediction of Online Reviews.
Proceedings of the World Wide Web Conference, 2019

Reading Customer Reviews to Answer Product-related Questions.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MRDGC: A Parallel Approach for the Identification of Master Regulators Based on the Differently Expressed Genes and the Regulatory Capacity of Regulators.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Multi-Agent Discussion Mechanism for Natural Language Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TSSA: A two step scheduling algorithm for the event-driven clusters.
Proceedings of the 20th International Conference on Advanced Communication Technology, 2018

Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

FastInput: Improving Input Efficiency on Mobile Devices.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Globalization-Semantic Matching Neural Network for Paraphrase Identification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Facial beauty analysis based on geometric feature: Toward attractiveness assessment application.
Expert Syst. Appl., 2017

2016
Scheduling algorithm based on prefetching in MapReduce clusters.
Appl. Soft Comput., 2016

Generating Recommendation Evidence Using Translation Model.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Design of a More Scalable Database System.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Enumeration System on HBase for Low-Latency.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Sparse Alignment for Robust Tensor Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

Unbinds data and tasks to improving the Hadoop performance.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

DLBer: A Dynamic Load Balancing Algorithm for the Event-Driven Clusters.
Proceedings of the Network and Parallel Computing, 2014

DLBS: Decentralized load balancing scheme for event-driven cloud frameworks.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

An Adaptive Auto-configuration Tool for Hadoop.
Proceedings of the 2014 19th International Conference on Engineering of Complex Computer Systems, 2014

Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce.
Proceedings of the Fifth International Conference on the Applications of Digital Information and Web Technologies, 2014

HPSO: Prefetching Based Scheduling to Improve Data Locality for MapReduce Clusters.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

Wave: Trigger Based Synchronous Data Process System.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
A Modified Optical Coding Monitoring Scheme in PON with Electronic Decoding Processing.
IEEE Commun. Lett., 2013

HDFS+: Concurrent Writes Improvements for HDFS.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012
Sparse Tensor Discriminant Color Space for Face Verification.
IEEE Trans. Neural Networks Learn. Syst., 2012

Dynamic transition embedding for image feature extraction and recognition.
Neural Comput. Appl., 2012

Sedna: A Memory Based Key-Value Storage System for Realtime Processing in Cloud.
Proceedings of the 2012 IEEE International Conference on Cluster Computing Workshops, 2012

2011
Deep Learning Regularized Fisher Mappings.
IEEE Trans. Neural Networks, 2011

Stochastic neighbor projection on manifold for feature extraction.
Neurocomputing, 2011

Face attractiveness improvement using beauty prototypes and decision.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Similarity preserving principal curve: an optimal 1-D feature extractor for data representation.
IEEE Trans. Neural Networks, 2010

A two-step framework for highly nonlinear data unfolding.
Neurocomputing, 2010

2008
Curvature diffusion evolution in image filtering.
Proceedings of the 10th International Conference on Control, 2008

2007
Principal Curves with Feature Continuity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006
Topology Description for Data Distributions Using a Topology Graph With Divide-and-Combine Learning Strategy.
IEEE Trans. Syst. Man Cybern. Part B, 2006


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