Xin Liu

劉昕

Applied Scientist

Amazon Search/A9

 

Office: Palo Alto, CA 94301

Email: xliucr [at] amazon [dot] com; seanliu96 [at] outlook [dot] com

 

Bio


I am an Applied Scientist at Amazon Search/A9 working on building large language models for shopping. I obtained my Ph.D. degree in Computer Science at the Hong Kong University of Science and Technology in July 2023 under the supervision of Prof. Yangqiu Song. Before that, I received my B.E. degree in Computer Science at Sun Yat-sen University in June 2018, supervised by Prof. Rong Pan.

My research interests lie in the intersection of machine learning and natural language processing, with a focus on inference, reasoning, as well as knowledge. My goal is to build intelligent systems that can understand and reason over user behaviors and natural languages with the help of structural knowledge and unstructural commonsense.

[News] Our team has several research internship opportunities base on Palo Alto in 2024. The topics are related to large language models and commonsense reasoning but not limited to them. Feel free to contact me and attach your CV via emails if you are interested in working with me.

Publications

Most recent publications on Google Scholar.

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation ArXiv Code

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

ACM Transactions on Information Systems, 2023

ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities ArXiv Code

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

Artificial Intelligence, 2022

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ArXiv

Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ArXiv Code

Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ArXiv

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

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

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

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

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

COSMO: A large-scale e-commerce common sense knowledge generation and serving system at Amazon

Changlong Yu*, Xin Liu*, Jefferson Maia, Tianyu Cao, Laurence (Yang) Li, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li*

ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024

🚗CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering ArXiv Code

Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

QaDynamics: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns PDF Code

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Conference on Neural Information Processing Systems (NeurIPS), 2023

Complex Eventuality Reasoning with Implicit Logical Constraints ArXiv Code

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

Conference on Neural Information Processing Systems (NeurIPS), 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting ArXiv

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Conference on Neural Information Processing Systems (NeurIPS), 2023

Self-Consistency Narrative Prompts on Abductive Natural Language Inference ArXiv Code

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

Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of ACL), 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering ArXiv Code

Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

arXiv preprint arXiv:2305.14869, 2023

Boosting Graph Structure Learning with Dummy Nodes ArXiv Code

Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

International Conference on Machine Learning (ICML), 2022

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

Xin Liu, Yangqiu Song

AAAI Conference on Artificial Intelligence (AAAI), 2022

Exploring Discourse Structures for Argument Impact Classification ArXiv Code

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Annual Meeting of the Association for Computational Linguistics (ACL), 2021

Neural Subgraph Isomorphism Counting ArXiv Code

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

ASER: A Large-scale Eventuality Knowledge Graph ArXiv Code

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

World Wide Web Conference (WWW), 2020

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation ArXiv Code

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

ACM Transactions on Information Systems, 2023

ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities ArXiv Code

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

Artificial Intelligence, 2022

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ArXiv

Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ArXiv Code

Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ArXiv

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

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

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

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

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph ArXiv Code

Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song

Findings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), 2024

EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs ArXiv Code

Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang

International Conference on Computational Linguistics (COLING), 2024

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

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

Findings of European Chapter of the Association for Computational Linguistics ({Findings-EACL}), 2024

COSMO: A large-scale e-commerce common sense knowledge generation and serving system at Amazon

Changlong Yu*, Xin Liu*, Jefferson Maia, Tianyu Cao, Laurence (Yang) Li, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li*

ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024

🚗CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering ArXiv Code

Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

QaDynamics: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

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

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

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns PDF Code

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Conference on Neural Information Processing Systems (NeurIPS), 2023

Complex Eventuality Reasoning with Implicit Logical Constraints ArXiv Code

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

Conference on Neural Information Processing Systems (NeurIPS), 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting ArXiv

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Conference on Neural Information Processing Systems (NeurIPS), 2023

Self-Consistency Narrative Prompts on Abductive Natural Language Inference ArXiv Code

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

Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 2023

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of ACL), 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of ACL), 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering ArXiv Code

Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

arXiv preprint arXiv:2305.14869, 2023

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform ArXiv Code

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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Boosting Graph Structure Learning with Dummy Nodes ArXiv Code

Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

International Conference on Machine Learning (ICML), 2022

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

Xin Liu, Yangqiu Song

AAAI Conference on Artificial Intelligence (AAAI), 2022

Exploring Discourse Structures for Argument Impact Classification ArXiv Code

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Annual Meeting of the Association for Computational Linguistics (ACL), 2021

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

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

International Joint Conference on Artificial Intelligence (IJCAI), 2020

Neural Subgraph Isomorphism Counting ArXiv Code

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

ASER: A Large-scale Eventuality Knowledge Graph ArXiv Code

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

World Wide Web Conference (WWW), 2020

Hyper-Path-Based Representation Learning for Hyper-Networks ArXiv Code

Jie Huang, Xin Liu, Yangqiu Song

ACM International Conference on Information and Knowledge Management (CIKM), 2019

Relation Discovery with Out-of-Relation Knowledge Base as Supervision ArXiv Code

Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song

Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT), 2019

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

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT), 2019

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

Huiru Xiao, Xin Liu, Yangqiu Song

World Wide Web Conference (WWW), 2019

Biased RandomWalk based Social Regularization for Word Embeddings PDF Code

Ziqian Zeng*, Xin Liu*, Yangqiu Song

International Joint Conference on Artificial Intelligence (IJCAI), 2018

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation ArXiv Code

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

ACM Transactions on Information Systems, 2023

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ArXiv

Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns PDF Code

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Conference on Neural Information Processing Systems (NeurIPS), 2023

Complex Eventuality Reasoning with Implicit Logical Constraints ArXiv Code

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

Conference on Neural Information Processing Systems (NeurIPS), 2023

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform ArXiv Code

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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Boosting Graph Structure Learning with Dummy Nodes ArXiv Code

Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

International Conference on Machine Learning (ICML), 2022

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

Xin Liu, Yangqiu Song

AAAI Conference on Artificial Intelligence (AAAI), 2022

Neural Subgraph Isomorphism Counting ArXiv Code

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

Hyper-Path-Based Representation Learning for Hyper-Networks ArXiv Code

Jie Huang, Xin Liu, Yangqiu Song

ACM International Conference on Information and Knowledge Management (CIKM), 2019

ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities ArXiv Code

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

Artificial Intelligence, 2022

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ArXiv Code

Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ArXiv

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

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

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

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

Proceedings of Annual Meeting of the Association for Computational Linguistics ({ACL}), 2024

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph ArXiv Code

Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song

Findings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), 2024

EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs ArXiv Code

Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang

International Conference on Computational Linguistics (COLING), 2024

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

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

Findings of European Chapter of the Association for Computational Linguistics ({Findings-EACL}), 2024

COSMO: A large-scale e-commerce common sense knowledge generation and serving system at Amazon

Changlong Yu*, Xin Liu*, Jefferson Maia, Tianyu Cao, Laurence (Yang) Li, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li*

ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024

🚗CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering ArXiv Code

Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

QaDynamics: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

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

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

Findings of the Association for Computational Linguistics (Findings of EMNLP), 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting ArXiv

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Conference on Neural Information Processing Systems (NeurIPS), 2023

Self-Consistency Narrative Prompts on Abductive Natural Language Inference ArXiv Code

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

Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 2023

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of ACL), 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery ArXiv Code

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

Findings of the Association for Computational Linguistics (Findings of ACL), 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering ArXiv Code

Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

arXiv preprint arXiv:2305.14869, 2023

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform ArXiv Code

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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Exploring Discourse Structures for Argument Impact Classification ArXiv Code

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Annual Meeting of the Association for Computational Linguistics (ACL), 2021

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

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

International Joint Conference on Artificial Intelligence (IJCAI), 2020

ASER: A Large-scale Eventuality Knowledge Graph ArXiv Code

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

World Wide Web Conference (WWW), 2020

Relation Discovery with Out-of-Relation Knowledge Base as Supervision ArXiv Code

Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song

Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT), 2019

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

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT), 2019

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

Huiru Xiao, Xin Liu, Yangqiu Song

World Wide Web Conference (WWW), 2019

Biased RandomWalk based Social Regularization for Word Embeddings PDF Code

Ziqian Zeng*, Xin Liu*, Yangqiu Song

International Joint Conference on Artificial Intelligence (IJCAI), 2018

Awards

HKUST RedBird Academic Excellence Award (Hong Kong University of Science and Technology, 2022)

HKUST SENG Academic Award (Hong Kong University of Science and Technology, 2020)

HKUST CSE Professor Samuel Chanson Best Teaching Assistant Award (Hong Kong University of Science and Technology, 2020)

SYSU Outstanding Graduate (Sun Yat-sen University, 2018)

SYSU Outstanding Graduate Thesis (Sun Yat-sen University, 2018)

The First Prize, Guangdong Collegiate Programming Contest (Computer Academy of Guangdong, 2018)

Top 10, Tencent social advertising college algorithm competition (Tencent, 2018)

Top 10, Tencent social advertising college algorithm competition (Tencent, 2017)

Meritorious Winner, Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling (Consortium for Mathematics and its Applications, 2017)

National Scholarship (Ministry of Education of the People's Republic of China, 2017)

National Scholarship (Ministry of Education of the People's Republic of China, 2016)

National Scholarship (Ministry of Education of the People's Republic of China, 2015)

Working Experience

Applied Scientist II at Store Foundational AI, Amazon Search (A9) (August 2023 - Now)

Foundational Models for E-commerce, Managers: Dr. Qingyu Yin, Bing Yin

Research Intern at Search Query Understanding, Amazon Search (A9) (June 2022 - Dec. 2022)

Commonsense Knowedge Graph and Pattern Mining for E-commerce, Mentors: Dr. Zheng Li, Dr. Yifan Gao, Jingfeng Yang, Dr. Tianyu Cao

Research Assistant at Knowledge Computation Group, Hong Kong University of Science and Technology (Jan. 2018 - July 2018)

Structural Data Representation Learning, Supervisor: Prof. Yangqiu Song

Research Intern at Cloud & Mobile, Microsoft Research Asia (June 2017 - Dec. 2017)

Distributed Graph Database, Mentor: Dr. Liang Jeff Chen

Teaching Experience

Teaching Assistant (Postgraduate) at HKUST (Spring 2022)

MSBD5018H: Natural Language Processing

Teaching Assistant (Postgraduate) at HKUST (Spring 2021)

MSBD6000H: Natural Language Processing

Teaching Assistant (Undergraduate) at HKUST (Spring 2020)

COMP4332/RMBI4310: Big Data Mining

Teaching Assistant (Undergraduate) at HKUST (Spring 2019)

COMP4332/RMBI4310: Big Data Mining

Teaching Assistant (Undergraduate) at HKUST (Fall 2018)

COMP4901K/MATH4824B: Machine Learning for Natural Language Processing

Advisees

Chi Han (Fall 2024)

Intern (Amazon) , now PhD@UIUC

Yilun Jin (Fall 2023)

Intern (Amazon) , now PhD@HKUST

Zi-Yuan Hu (Spring 2021)

Undergraduate Research Assistant (HKUST) , now PhD@CUHK

Jie Huang (Winter 2020 - Summer 2021)

Undergraduate Research Assistant (HKUST) , now PhD@UIUC

Xinran Zhao (Summer 2019 - Fall 2020)

Undergraduate Research Assistant (HKUST) , now PhD@CMU

Jiefu Ou (Summer 2019 - Spring 2021)

Undergraduate Research Assistant (HKUST) , now PhD@JHU

Chi Han (Fall 2024)

Intern (Amazon) , now PhD@UIUC

Yilun Jin (Fall 2023)

Intern (Amazon) , now PhD@HKUST

Zi-Yuan Hu (Spring 2021)

Undergraduate Research Assistant (HKUST) , now PhD@CUHK

Jie Huang (Winter 2020 - Summer 2021)

Undergraduate Research Assistant (HKUST) , now PhD@UIUC

Xinran Zhao (Summer 2019 - Fall 2020)

Undergraduate Research Assistant (HKUST) , now PhD@CMU

Jiefu Ou (Summer 2019 - Spring 2021)

Undergraduate Research Assistant (HKUST) , now PhD@JHU

Acknowledgement

This website uses the website design and template by Martin Saveski