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
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
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
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
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