1. Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danni Zhang, Jasha Droppo, Monica Cheng, Ying Yin, Suhang Wang, Jing Gao, A Lightweight Representation Quantization Framework for Long-tail Data, (ICDE'24), Utrecht, Netherlands, 2024.
2. Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang, Towards Universal Multi-Modal Personalization: A Language Model Empowered Generative Paradigm, In: Proc. of 2024 International Conference on Learning Representations, (ICLR'24), Vienna, Austria, 2024. [paper]
3. Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang, IterAlign: Iterative Constitutional Alignment of Large Language Models, In: Proc. of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'24), Mexico City, Mexico, 2024. [paper]
4. Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang wang, Zheng Li, Yang Li, Hanqing Lu, Suhang wang, Jiawei Han, Xiafeng Tang, Language Models as Semantic Indexers (ICML'24), Vienna, Austria, 2024.
5. Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han, Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs, ACL Findings,  Bangkok, Thailand, 2024.
6. Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang, Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation, In: Proc. of Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS'23), New Orleans, 2023.
7. Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao, LightToken: a Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models, In: Proc. of 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, 2023.
8. Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow. Self-supervised Speaker Recognition Training Using Human-Machine Dialogues, In: Proc. of 2022 International Conference on Acoustics, Speech, and Signal Processing (ICASSP'22), Singapore, 2022. [paper]
9. Xin Zhang*, Minho Jin*, Roger Cheng, Ruirui Li, Eunjung Han, Andreas Stolcke. Contrastive-Mixup Learning for Improved Speaker Verification, In: Proc. of 2022 International Conference on Acoustics, Speech, and Signal Processing (ICASSP'22), Singapore, 2022. [paper]
10. Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, and Andreas Stolcke, Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition. In: Proc. of 2021 International Conference on International Speech Communication Association (INTERSPEECH'21), Brno, Czechia, 2021. [paper]
11. Jie Pu, Yuguang Yang*, Ruirui Li*, and Oguz Elibol, Scaling Effect of Self-Supervised Speech Models. In: Proc. of 2021, International Conference on International Speech Communication Association (INTERSPEECH'21), Brno, Czechia, 2021. [paper]
12. Haici Yang, Hongda Mao, Ruirui Li, Chelsea J.T. Ju, and Oguz Elibol, Non-local Convolutional Neural Networks (NLCNN) for Speaker Recognition. In: Proc. of 2021 International Conference on International Speech Communication Association (INTERSPEECH'21), Brno, Czechia, 2021. [Submitted]
13. Tianxin Wei*, Ruirui Li*, and Oguz Elibol, Adversarial Multi-task Learning for Speaker Recognition with Self-supervised Reconstructions. In: Proc. of 2021 International Conference on International Speech Communication Association (INTERSPEECH'21), Brno, Czechia, 2021. [Submitted]
14. Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, and Andreas Stolcke, Speaker Identification for Household Scenarios with Self-attention and Adversarial Training. In: Proc. of 2020 International Conference on International Speech Communication Association (InterSpeech'20), Shanghai, China, 2020. [paper]
15. Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, and Wei Wang, Bridging Mixture Density Networks with Meta-learning for Automatic Speaker Identification. In: Proc. of 2020 International Conference on Acoustics, Speech, and Signal Processing (ICASSP'20), Barcelona, Spain, 2020. [paper, video]
16. Ruirui Li, Xian Wu, Xiusi Chen, and Wei Wang, Few-shot Learning for New User Recommendation in Location-based Social Networks. In: Proc. of 2020 International Conference on World-Wide Web (WWW'20), Taipei, Taiwan, 2020. [paper, video]
17. Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, and Zhenhui Li, Automated Relational Meta-learning. In: Proc. of 2020 International Conference on Learning Representations (ICLR'20), Addis Ababa, Ethiopia 2020. [paper]
18. Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, and Wei Wang, Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. In: Proc. of 20th IEEE International Conference on Data Mining (ICDM'20), Sorrento, Italy, 2020.
19. Ruirui Li, Xian Wu, and Wei Wang, Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location-baesd Social Networks. In: Proc. of 2020 International Conference on Web Search and Data Mining (WSDM'20), Houston, Texas, 2020. [paper]
20. Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, and Wei Wang, Automatic Speaker Recognition with Limited Data. In: Proc. of 2020 International Conference on Web Search and Data Mining (WSDM'20), Houston, Texas 2020. [paper]
21. Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, and Wei Wang, Click Feedback-Aware Query Recommendation Using Adversarial Examples. In: Proc. of 2020 International Conference on World-Wide Web (WWW'19), San Francisco, CA, 2019. [paper]
22. Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, and Wei Wang, CORALS: Who are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. In: Proc. of 2019 International Conference on Web Search and Data Mining (WSDM'19), Melbourne, Australia, 2019. [paper]
23. Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T, Cheryl Flynn, Wen-ling Hsu, Jia Wang, Wei Wang, and Tan Xu, Enhancing Response Generation Using Chat Flow Identification. Workshop on Conversational AI, Intl. Conf. on Knowledge Discovery and Data Mining (KDD'18), London, Aug. 2018.
24. Zijun Xue, Mingda Li, and Ruirui Li, Recent Progress in Conversational AI. Workshop on Conversational AI, Intl. Conf. on Knowledge Discovery and Data Mining (KDD'18), London, Aug. 2018.
25. Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang, and Wei Wang, Fleximer: Accurate Quatification of RNA-Seq via Variable-Length k-mers. Proc. of 2017 Conference on Bioinformatics, Computional Biology, and Health Informatics (ACM BCB'17), Boston, 2017
26. Ruirui Li, Xinxin Huang, Shuo Song, Jia Wang, and Wei Wang, Towards customer trouble tickets resolution automation in large cellular services. In: Proc. of 2016 Conference on Mobile Computing and Networking (Mobicom'16), New York, 2016.
27. Liuli Chen, Jennifer Zhang, Chelsea J.-T. Ju, Ruirui Li, Wenchao Yu, and Wei Wang, Skimdiff: Transcript-level differential analysis of RNA-Seq data. Conference on High Throughput Sequencing Algorithms & Applications (HitSeq'15), Dublin, Ireland. 2015.
28. Ruirui Li, and Wei Wang, REAFUM: Representative Approximate Frequent Subgraph Mining. In: Proc. of 2015 SIAM Internatioanl Conference on Data Mining (SDM'15), Vancouver, Apr. 2015. [paper]
29. Ruirui Li, Ben Kao, Bin Bi, Reynold Cheung, and Eric Lo, DQR: A probabilistic approach to diversified query recommendation. In: Proc. of 2012 Internatonal Conference on Information and Knowledge Management (CIKM'12), Hawaii, Oct. 2012. [paper]