| 2026 | AAAI | Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization. | Linfeng Cao, Ming Shi, Ness B. Shroff |
| 2026 | WiOpt | Bi-Level Online Provisioning and Scheduling with Switching Costs and Cross-Level Constraints. | Jialei Liu, C. Emre Koksal, Ming Shi |
| 2026 | WiOpt | Probe-then-Commit Multi-Objective Bandits: Theoretical Benefits of Limited Multi-Arm Feedback. | Ming Shi |
| 2025 | ICML | Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces. | Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi, Fatemeh Nourzad, Eylem Ekici, Ness B. Shroff |
| 2025 | MOBIHOC | Online Learning for Optimizing AoI-Energy Tradeoff under Unknown Channel Statistics. | Mohamed A. Abd-Elmagid, Ming Shi, Eylem Ekici, Ness B. Shroff |
| 2023 | ICLR | Near-Optimal Adversarial Reinforcement Learning with Switching Costs. | Ming Shi, Yingbin Liang, Ness B. Shroff |
| 2023 | ICML | A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints. | Ming Shi, Yingbin Liang, Ness B. Shroff |
| 2023 | ICONIP | MView-DTI: A Multi-view Feature Fusion-Based Approach for Drug-Target Protein Interaction Prediction. | Jiahui Wen, Haitao Gan, Zhi Yang, Ming Shi, Ji Wang |
| 2023 | SMC | Semi-Supervised Carotid Plaque Image Classification Using Feature Correction and Pseudo-Label Balance Correction. | Wenjie Yu, Weiyan Gan, Furong Wang, Zhi Yang, Ming Shi, Ran Zhou |
| 2022 | DSAA | A Knowledge Graph Link Prediction Model with Combined 1D and 2D Convolutional Embeddings. | Ming Shi, Jing Zhao |
| 2022 | IJCNN | A Knowledge Representation Method for Multiple Pattern Embeddings Based on Entity-Relation Mapping Matrix. | Donglin Wu, Jing Zhao, Ming Li, Ming Shi |
| 2022 | MOBIHOC | Power-of-2-arms for bandit learning with switching costs. | Ming Shi, Xiaojun Lin, Lei Jiao |
| 2022 | PRICAI | Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis. | Wenya Liu, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi |
| 2022 | PRICAI | VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE. | Hongmin Zhang, Ming Shi, Zhongwei Huang, Zhi Yang, Ran Zhou, Haitao Gan |
| 2021 | INFOCOM | Combining Regularization with Look-Ahead for Competitive Online Convex Optimization. | Ming Shi, Xiaojun Lin, Lei Jiao |
| 2018 | INFOCOM | Competitive Online Convex Optimization with Switching Costs and Ramp Constraints. | Ming Shi, Xiaojun Lin, Sonia Fahmy, Dong-Hoon Shin |