Xiusi Chen

Orcid: 0000-0002-9713-8000

According to our database1, Xiusi Chen authored at least 36 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
One Step towards Autonomous AI Agent: Reasoning, Alignment and Planning
PhD thesis, 2024

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR, 2024

Self-Updatable Large Language Models with Parameter Integration.
CoRR, 2024

Towards LifeSpan Cognitive Systems.
CoRR, 2024

Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search.
CoRR, 2024

Large Scale Knowledge Washing.
CoRR, 2024

Bridging Language and Items for Retrieval and Recommendation.
CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.
CoRR, 2024

TinyLLM: Learning a Small Student from Multiple Large Language Models.
CoRR, 2024

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.
CoRR, 2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Models as Semantic Indexers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly.
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., August, 2023

"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching.
CoRR, 2023

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
CoRR, 2023

Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
CoRR, 2023

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.
CoRR, 2023

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Scalable Graph Representation Learning via Locality-Sensitive Hashing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.
ACM Trans. Knowl. Discov. Data, 2021

Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
Proceedings of the WSDM '21, 2021

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Few-Shot Learning for New User Recommendation in Location-based Social Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2018
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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