@misc{li2025industryeqa,title={IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios},author={Li, Yifan and Chen, Yuhang and Dao, Anh and Li, Lichi and Cai, Zhongyi and Tan, Zhen and Chen, Tianlong and Kong, Yu},year={2025},month=may,eprint={2505.20640},archiveprefix={arXiv},primaryclass={cs.CV},dataset={https://huggingface.co/datasets/IndustryEQA/IndustryEQA},}
ACL 2025
Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
@misc{jiang2025generatingcontrollablesolvablegeometry,title={Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine},author={Jiang, Zhuoxuan and Zhang, Tianyang and Peng, Peiyan and Chen, Jing and Xun, Yinong and Zhang, Haotian and Li, Lichi and Li, Yong and Zhang, Shaohua},year={2025},month=jun,eprint={2506.02565},archiveprefix={arXiv},primaryclass={cs.AI},}
2024
KDD 2025
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, and Ajay Daptardar
@misc{li2024merrec,title={MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems},author={Li, Lichi and Din, Zainul Abi and Tan, Zhen and London, Sam and Chen, Tianlong and Daptardar, Ajay},year={2024},month=feb,dataset={https://huggingface.co/datasets/mercari-us/merrec},eprint={2402.14230},archiveprefix={arXiv},primaryclass={cs.IR},}
2014
ICWS 2014
A Web Service for Scholarly Big Data Information Extraction
Kyle Williams, Lichi Li, Madian Khabsa, Jian Wu, Patrick C. Shih, and C. Lee Giles
In 2014 IEEE International Conference on Web Services , 2014
@inproceedings{williams2014,author={Williams, Kyle and Li, Lichi and Khabsa, Madian and Wu, Jian and Shih, Patrick C. and Giles, C. Lee},booktitle={2014 IEEE International Conference on Web Services},title={A Web Service for Scholarly Big Data Information Extraction},year={2014},month={},pages={105-112},keywords={Data mining;Big data;Web servers;Information retrieval;Databases;Hamming distance;Web service;information extraction;scholarly big data;CiteSeerExtractor},doi={10.1109/ICWS.2014.27},}