Yuxiao Dong
Orcid: 0000-0002-6092-2002
According to our database1,
Yuxiao Dong
authored at least 165 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models.
CoRR, 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment.
CoRR, 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.
CoRR, 2024
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.
CoRR, 2024
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations.
CoRR, 2024
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning.
CoRR, 2024
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., October, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
IEEE Trans. Knowl. Data Eng., 2023
CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation.
CoRR, 2023
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models.
CoRR, 2023
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X.
CoRR, 2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
AI Open, January, 2022
IEEE Trans. Knowl. Data Eng., 2022
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Frontiers Res. Metrics Anal., 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Frontiers Big Data, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
ACM Trans. Inf. Syst., 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Gender Differences in Communication Behaviors, Spatial Proximity Patterns, and Mobility Habits.
CoRR, 2016
Influence Activation Model: A New Perspective in Social Influence Analysis and Social Network Evolution.
CoRR, 2016
Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in a Large-Scale Mobile Communication Network.
CoRR, 2016
Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks.
CoRR, 2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
Proceedings of the 2016 IEEE Military Communications Conference, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
CoRR, 2015
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
CoRR, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
2013
Data Knowl. Eng., 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Proceedings of the Seventh International Conference on Natural Computation, 2011
Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the IEEE International Conference on Automation and Logistics, 2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
SAKU: A distributed system for data analysis in large-scale dataset based on cloud computing.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
KANGAROO: A Distributed System for SNA - Social Network Analysis in Huge-scale Networks.
Proceedings of the CLOSER 2011, 2011
Saurida: Cloud Computing based - Data Mining System in Telecommunication Industry.
Proceedings of the CLOSER 2011, 2011
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011
2010
Math. Comput. Model., 2010