Senior Researcher
Tencent AI Lab,
Shenzhen, China
[Curriculum Vitae] [Google Scholar]
Email: lijianjack [at] gmail.com
Jian Li is an NLP researcher at Tencent AI Lab. He obtained his Ph.D. degree in Computer Science from The Chinese University of Hong Kong (CUHK) in 2020, supervised by Prof. Michael R. Lyu. He obtained his bachelor's degree with the Outstanding Honor from University of Electronic Science and Technology of China (UESTC) in 2015. From 2019 to 2020, he was visiting Stanford University as a research scholar, hosted by Prof. Monica Lam.
Natural Language Processing, Information Retrieval, Software Engineering.
We are hiring research interns! If you are interested in pre-trained large language models (LLM), feel free to contact me!
* denotes equal contribution or corresponding author.
Anchun Gui*, Jian Li*, Yongdai, Nan Du, Han Xiao
Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models
Arxiv 2024.
[PDF]
Pengyu Cheng*, Yifan Yang*, Jian Li*, Yongdai, Nan Du, Xiaolong Li
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
Findings of ACL 2024.
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Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang,
Rethinking the Uniformity Metric in Self-Supervised Learning
ICLR 2024.
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Jian Li, Jieming Zhu, Qiwei Bi, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu,
MINER: Multi-Interest Matching Network for News Recommendation
Findings of ACL 2022.
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Jian Li*, Qiwei Bi*, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang,
MTRec: Multi-Task Learning over BERT for News Recommendation
Findings of ACL 2022.
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Xianghong Fang, Jian Li*, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung,
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders
Findings of ACL 2022.
[PDF]
Zhiming Mao, Jian Li*, Hongru Wang, Xingshan Zeng, Kam-Fai Wong,
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
Findings of EMNLP 2022.
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Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu,
On the Diversity of Multi-Head Attention
Journal of Neurocomputing (SCI)
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Silei Xu, Giovanni Campagna, Jian Li, Monica S. Lam,
Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web
CIKM'20: Proceedings of the 2020 ACM International Conference on Information and Knowledge Management.
[PDF]
Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu,
Neuron Interaction Based Representation Composition for Neural Machine Translation
AAAI'20: Proceedings of the 2020 AAAI Conference on Artificial Intelligence.
[PDF]
Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu,
Information Aggregation for Multi-Head Attention with Routing-by-Agreement
NAACL'19: Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
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Baosong Yang, Jian Li, Derek Wong, Lidia Chao, Xing Wang, Zhaopeng Tu,
Context-Aware Self-Attention Networks
AAAI'19: Proceedings of the 2019 AAAI Conference on Artificial Intelligence.
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Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu and Tong Zhang
Multi-Head Attention with Disagreement Regularization
EMNLP'18: Proceedings of the 2018 International Conference on Empirical Methods in Natural Language Processing.
[PDF]
Jian Li, Yue Wang, Michael R. Lyu, Irwin King
Code Completion with Neural Attention and Pointer Networks
IJCAI'18: Proceedings of the 2018 International Joint Conference on Artificial Intelligence.
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Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu
Software Defect Prediction via Convolutional Neural Network
QRS'17: Proceedings of the 2017 IEEE International Conference on Software Quality, Reliability and Security.
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Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
Towards Automated Log Parsing for Large-Scale Log Data Analysis
TDSC'17: IEEE Transactions on Dependable and Secure Computing, 2017.
[PDF]
Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
An Evaluation Study on Log Parsing and Its Use in Log Mining
DSN'16: Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016.
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