An Effective Partitioning Approach for Competitive Spatial-Temporal Searching (GIS Cup). - Qi Hu; Lingfeng Ming; Chengdong Tong; Bolong Zheng (SIGSPATIAL/GIS, 2019)

An Effective Fleet Management Strategy for Collaborative Spatio-Temporal Searching: GIS Cup. - Lingfeng Ming; Qi Hu; Ming Dong 004; Bolong Zheng (SIGSPATIAL/GIS, 2020)

Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks. - Bolong Zheng; Qi Hu; Lingfeng Ming; Jilin Hu; Lu Chen 001; Kai Zheng 001; Christian S. Jensen (CoRR, 2020)

SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply. - Qi Hu; Lingfeng Ming; Ruijie Xi; Lu Chen 001; Christian S. Jensen; Bolong Zheng (ICDE, 2021)

Deep reinforcement learning based ensemble model for rumor tracking. - Guohui Li 001; Ming Dong 004; Lingfeng Ming; Changyin Luo; Han Yu; Xiaofei Hu; Bolong Zheng (Inf. Syst., 2022)

Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management. - Bolong Zheng; Lingfeng Ming; Qi Hu; Zhipeng Lü; Guanfeng Liu 001; Xiaofang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2022)

Realistic Safety-critical Scenarios Search for Autonomous Driving System via Behavior Tree. - Ping Zhang; Lingfeng Ming; Tingyi Yuan; Cong Qiu; Yang Li; Xinhua Hui; Zhiquan Zhang; Chao Huang (CoRR, 2023)

SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation. - Bolong Zheng; Qi Hu; Lingfeng Ming; Jilin Hu; Lu Chen 001; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2023)

M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark. - Wei Song; Yadong Li; Jianhua Xu; Guowei Wu; Lingfeng Ming; Kexin Yi; Weihua Luo; Houyi Li; Yi Du; Fangda Guo; Kaicheng Yu (CoRR, 2024)

Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement. - Lingfeng Ming; Bo Zeng; Chenyang Lyu; Tianqi Shi; Yu Zhao; Xue Yang; Yefeng Liu; Yiyu Wang; Linlong Xu; Yangyang Liu; Xiaohu Zhao; Hao Wang; et al. (CoRR, 2024)

Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection. - Bolong Zheng; Lingfeng Ming; Kai Zeng 002; Mengtao Zhou; Xinyong Zhang; Tao Ye; Bin Yang 002; Xiaofang Zhou 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2024)

Baichuan-Omni-1.5 Technical Report. - Yadong Li; Jun Liu; Tao Zhang 001; Tao Zhang 001; Song Chen; Tianpeng Li; Zehuan Li; Lijun Liu; Lingfeng Ming; Guosheng Dong; Da Pan 003; Chong Li; et al. (CoRR, 2025)

Ocean-OCR: Towards General OCR Application via a Vision-Language Model. - Song Chen; Xinyu Guo; Yadong Li; Tao Zhang; Mingan Lin; Dongdong Kuang; Youwei Zhang; Lingfeng Ming; Fengyu Zhang; Yuran Wang; Jianhua Xu; Zenan Zhou; et al. (CoRR, 2025)

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model. - Bowen Ding; Yuhan Chen; Futing Wang; Lingfeng Ming; Tao Lin (CoRR, 2025)