| 2025 | EMNLP | Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs. | Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He |
| 2025 | ICCV | Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models. | Xinyu Chen, Haotian Zhai, Can Zhang, Xiupeng Shi, Ruirui Li |
| 2025 | ICLR | Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. | Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao |
| 2025 | ICML | Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. | Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao |
| 2025 | IJCNN | A Dual-path Spatial-Temporal Separation Framework for 3D Human Pose Estimation. | Yiran Liu, Ruirui Li, Yuandong Hu |
| 2024 | ACL | Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. | Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han |
| 2024 | EMNLP | RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. | Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | EMNLP | BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. | Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao |
| 2024 | ICDE | LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. | Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao |
| 2024 | ICLR | Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. | Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang |
| 2024 | ICML | Language Models as Semantic Indexers. | Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang |
| 2024 | ICPR | Enhancing the Quality of Pseudo Labels in 2D Human Pose Estimation via a Debiasing-Teacher Approach. | Naihao Wang, Shushi Hong, Kexin Meng, Ruirui Li |
| 2024 | ICPR | Enhancing Fairness and Robustness in Label-Noise Learning Through Advanced Sample Selection and Adversarial Optimization. | Naihao Wang, Yukun Yang, Haixin Yang, Ruirui Li |
| 2024 | NAACL | IterAlign: Iterative Constitutional Alignment of Large Language Models. | Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang |
| 2024 | PKAW | Category-Aware Keypoint Masking to Address Biases in Semi-supervised 2D Pose Estimation. | Xiangrui Liu, Shushi hong, Yucheng Fang, Ruirui Li |
| 2024 | PRICAI | A Comprehensive Framework for Debiased Sample Selection Across All Noise Types. | Naihao Wang, Ruirui Li |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2022 | ICASSP | Self-Supervised Speaker Recognition Training using Human-Machine Dialogues. | Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow |
| 2022 | ICASSP | Contrastive-mixup Learning for Improved Speaker Verification. | Xin Zhang, Minho Jin, Roger Cheng, Ruirui Li, Eunjung Han, Andreas Stolcke |
| 2022 | ICPR | Agreement or Disagreement in Noise-tolerant Mutual Learning? | Jiarun Liu, Daguang Jiang, Yukun Yang, Ruirui Li |
| 2022 | IGARSS | Swin Transformers Make Strong Contextual Encoders for VHR Image Road Extraction. | Tao Chen, Daguang Jiang, Ruirui Li |
| 2022 | IGARSS | Efficient Global Context Graph Convolution for Hyperspectral Image Classification. | Wenda Ding, Daguang Jiang, Ruirui Li |
| 2021 | Interspeech | Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition. | Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, Andreas Stolcke |
| 2021 | Interspeech | Scaling Effect of Self-Supervised Speech Models. | Jie Pu, Yuguang Yang, Ruirui Li, Oguz Elibol, Jasha Droppo |
| 2020 | ICASSP | Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. | Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang |
| 2020 | ICDM | Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. | Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang |
| 2020 | ICLR | Automated Relational Meta-learning. | Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li |
| 2020 | Interspeech | Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training. | Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, Andreas Stolcke |
| 2020 | IGARSS | Fast Single-Shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images. | Zhenhang Huang, Shihao Sun, Ruirui Li |
| 2020 | WWW | Few-Shot Learning for New User Recommendation in Location-based Social Networks. | Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang |
| 2020 | WSDM | Automatic Speaker Recognition with Limited Data. | Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang |
| 2020 | WSDM | Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks. | Ruirui Li, Xian Wu, Wei Wang |
| 2019 | CVPR | Noise-Tolerant Paradigm for Training Face Recognition CNNs. | Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li |
| 2019 | WWW | Click Feedback-Aware Query Recommendation Using Adversarial Examples. | Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, Wei Wang |
| 2019 | WSDM | CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. | Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang |
| 2018 | IGARSS | Shipnet for Semantic Segmentation on VHR Maritime Imagery. | Shihao Sun, Zexin Lu, Wenjie Liu, Wei Hu, Ruirui Li |
| 2018 | IGARSS | Small Sample Learning Optimization for Resnet Based Sar Target Recognition. | Zhenzhen Fu, Fan Zhang, Qiang Yin, Ruirui Li, Wei Hu, Wei Li |
| 2016 | MOBICOM | Towards customer trouble tickets resolution automation in large cellular services: demo. | Ruirui Li, Xinxin Huang, Shuo Song, Jia Wang, Wei Wang |
| 2015 | SDM | REAFUM: Representative Approximate Frequent Subgraph Mining. | Ruirui Li, Wei Wang |
| 2012 | CIKM | DQR: a probabilistic approach to diversified query recommendation. | Ruirui Li, Ben Kao, Bin Bi, Reynold Cheng, Eric Lo |
| 2009 | ICPADS | RankBoost Acceleration on both NVIDIA CUDA and ATI Stream Platforms. | Bo Wang, Tianji Wu, Feng Yan, Ruirui Li, Ningyi Xu, Yu Wang |