Xin Liu

According to our database, Xin Liu authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.

Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang

ACM Trans. Inf. Syst., March, 2024

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.

Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Jiayang Cheng, Chunkit Chan, Yangqiu Song

CoRR, 2024

Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yangqiu Song

CoRR, 2023

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

CoRR, 2023

Self-Consistent Narrative Prompts on Abductive Natural Language Inference.

Chunkit Chan, Xin Liu, Tsz Ho Chan, Jiayang Cheng, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.

Haochen Shi, Weiqi Wang, Tianqing Fang, Baixuan Xu, Wenxuan Ding, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection.

Zheye Deng, Weiqi Wang, Zhaowei Wang, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition.

Chunkit Chan, Xin Liu, Jiayang Cheng, Zihan Li, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.

Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin

CoRR, 2022

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities.

Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song

Artif. Intell., 2022

Boosting Graph Structure Learning with Dummy Nodes.

Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

Proceedings of the International Conference on Machine Learning, 2022

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform.

Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching.

Xin Liu, Yangqiu Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Exploring Discourse Structures for Argument Impact Classification.

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Variational Approach to Unsupervised Sentiment Analysis.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqiu Song, Michael David Kuo, Wan Hang Keith Chiu

CoRR, 2020

ASER: A Large-scale Eventuality Knowledge Graph.

Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neural Subgraph Isomorphism Counting.

Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification.

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Neural Subgraph Isomorphism Counting.

Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang

CoRR, 2019

Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification.

Huiru Xiao, Xin Liu, Yangqiu Song

Proceedings of the World Wide Web Conference, 2019

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Relation Discovery with Out-of-Relation Knowledge Base as Supervision.

Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Hyper-Path-Based Representation Learning for Hyper-Networks.

Jie Huang, Xin Liu, Yangqiu Song

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Biased Random Walk based Social Regularization for Word Embeddings.

Ziqian Zeng, Xin Liu, Yangqiu Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018