| 2026 | KDD | LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models. | Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen |
| 2025 | ACL | Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing. | Yifan Lu, Jing Li, Yigeng Zhou, Yihui Zhang, Wenya Wang, Xiucheng Li, Meishan Zhang, Fangming Liu, Jun Yu, Min Zhang |
| 2025 | ICCV | Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification. | Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie |
| 2025 | ICML | FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting. | Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong |
| 2025 | ICML | Curvature-aware Graph Attention for PDEs on Manifolds. | Yunfeng Liao, Jiawen Guan, Xiucheng Li |
| 2025 | ICML | Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin. | Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen |
| 2025 | IJCAI | A Survey on the Feedback Mechanism of LLM-based AI Agents. | Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang |
| 2024 | EMNLP | UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. | Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong |
| 2024 | ICDE | SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. | Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong |
| 2024 | ICLR | Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values. | Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li |
| 2024 | ICML | Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment. | Haokun Gui, Xiucheng Li, Xinyang Chen |
| 2024 | KDD | Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking Approach. | Yuqi Zhang, Meiying Kang, Xiucheng Li, Yu Qiu, Zhijun Li |
| 2023 | ICLR | Multivariate Time-series Imputation with Disentangled Temporal Representations. | Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang |
| 2021 | CIKM | Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. | Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison |
| 2021 | WWW | Sinkhorn Collaborative Filtering. | Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong |
| 2020 | ICDE | Spatial Transition Learning on Road Networks with Deep Probabilistic Models. | Xiucheng Li, Gao Cong, Yun Cheng |
| 2019 | WWW | Learning Travel Time Distributions with Deep Generative Model. | Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng |
| 2018 | ICDE | Inf2vec: Latent Representation Model for Social Influence Embedding. | Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee |
| 2018 | ICDE | Deep Representation Learning for Trajectory Similarity Computation. | Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei |
| 2017 | KDD | Discovering Pollution Sources and Propagation Patterns in Urban Area. | Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen |
| 2015 | SECON | QiLoc: A Qi wireless charging based system for robust user-initiated indoor location services. | Yilong Li, Yu Wang, Yun Cheng, Xiucheng Li, Guoliang Xing |
| 2014 | ICONIP | Fine-Grained Air Quality Monitoring Based on Gaussian Process Regression. | Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Xiaofan Jiang |
| 2014 | SENSYS | AirCloud: a cloud-based air-quality monitoring system for everyone. | Yun Cheng, Xiucheng Li, Zhijun Li, Shouxu Jiang, Yilong Li, Ji Jia, Xiaofan Jiang |
| 2014 | SENSYS | QiLoc - a Qi-wireless based platform for robust user-initiated indoor location services: demo abstract. | Yilong Li, Yun Cheng, Xiucheng Li, Yu Wang, Guoliang Xing, Xiaofan Jiang |