Publications (12)
Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
Yuwei Cheng, Zifeng Zhao, Haifeng Xu
Online advertising platforms use automated auctions to connect advertisers with potential customers, requiring effective bidding strategies to maximize profits. Accurate ad impact…
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation
Changsong Pang, Xieyuanli Chen, Yimin Liu +2
Moving object segmentation (MOS) and Ego velocity estimation (EVE) are vital capabilities for mobile systems to achieve full autonomy. Several approaches have attempted to achieve…
A Graph Theoretic Approach to Utilizing Protein Structure to Identify Non-Random Somatic Mutations
Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +2
Background: It is well known that the development of cancer is caused by the accumulation of somatic mutations within the genome. For oncogenes specifically, current research sugge…
Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
Yuwei Cheng, Fan Yao, Xuefeng Liu +1
This paper studies Learning from Imperfect Human Feedback (LIHF), addressing the potential irrationality or imperfect perception when learning from comparative human feedback. Buil…
Utilizing Protein Structure to Identify Non-Random Somatic Mutations
Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +2
Motivation: Human cancer is caused by the accumulation of somatic mutations in tumor suppressors and oncogenes within the genome. In the case of oncogenes, recent theory suggests t…
Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
Kai Luan, Chenghao Shi, Neng Wang +3
The millimeter-wave radar sensor maintains stable performance under adverse environmental conditions, making it a promising solution for all-weather perception tasks, such as outdo…
Can LLMs Address Mental Health Questions? A Comparison with Human Therapists
Synthia Wang, Yuwei Cheng, Austin Song +3
Limited access to mental health care has motivated the use of digital tools and conversational agents powered by large language models (LLMs), yet their quality and reception remai…
A Spatial Simulation Approach to Account for Protein Structure When Identifying Non-Random Somatic Mutations
Gregory Ryslik, Yuwei Cheng, Kei-Hoi Cheung +4
Background: Current research suggests that a small set of "driver" mutations are responsible for tumorigenesis while a larger body of "passenger" mutations occurs in the tumor but…
Visual Temporal Fusion Based Free Space Segmentation for Autonomous Surface Vessels
Xueyao Liang, Hu Xu, Yuwei Cheng
The use of Autonomous Surface Vessels (ASVs) is growing rapidly. For safe and efficient surface auto-driving, a reliable perception system is crucial. Such systems allow the vessel…
Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark
Yuwei Cheng, Mengxin Jiang, Jiannan Zhu +1
Unmanned surface vehicles (USVs) have great value with their ability to execute hazardous and time-consuming missions over water surfaces. Recently, USVs for inland waterways have…
Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
Bingji Yi, Qiyuan Liu, Yuwei Cheng +1
The paper proposes using an external synthetic data verifier to prevent model collapse during iterative retraining of generative models on their own synthetic data, providing theor…
Fine-Tuning Improves Information Conveyance in Language Models
Yuwei Cheng, Weiyi Tian, Haifeng Xu
Fine-tuning is often believed to reduce uncertainty and diversity in large language models, but existing analyses overlook output length, a key confounder, and therefore fail to ca…