Tianyu Shi
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Tianyu Shi 001 (Huaqiao University, Quanzhou, Fujian)
- Tianyu Shi 002 (Shenyang Ligong University, Shenyang, Liaoning, China)
- Tianyu Shi 003 (University of Toronto, Toronto, ON, Canada)
- Tianyu Shi 004 (Changzhou University, Changzhou, Jiangsu, China)
- Tianyu Shi 005 (Nanjing University of Science and Technology, Nanjing, China)
- Tianyu Shi 006 (Southwest Jiaotong University, Chengdu, China)
Bibliography
2026
PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms.
CoRR, March, 2026
EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation.
CoRR, January, 2026
A diffusion-based visual monitoring framework for detecting human behaviors and hazards in chemical plants.
Eng. Appl. Artif. Intell., 2026
Dual-Teacher Semi-Supervised framework with Mamba-based model for CT metal artifact reduction.
Biomed. Signal Process. Control., 2026
2025
Adaptive Detector-Verifier Framework for Zero-Shot Polyp Detection in Open-World Settings.
CoRR, December, 2025
Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks.
CoRR, September, 2025
CoRR, September, 2025
Vi-SAFE: A Spatial-Temporal Framework for Efficient Violence Detection in Public Surveillance.
CoRR, September, 2025
CoRR, September, 2025
M^3-GloDets: Multi-Region and Multi-Scale Analysis of Fine-Grained Diseased Glomerular Detection.
CoRR, August, 2025
Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures.
CoRR, August, 2025
CoRR, July, 2025
CoRR, July, 2025
eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing.
CoRR, June, 2025
CoRR, May, 2025
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models.
CoRR, March, 2025
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion.
CoRR, January, 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Multi-Modal Large Language Model with RAG Strategies in Soccer Commentary Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding OptimizatioN.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
VisualEDU: A Benchmark for Assessing Coding and Visual Comprehension through Educational Problem-Solving Video Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
CoRR, 2024
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback.
CoRR, 2024
CoRR, 2024
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system.
CoRR, 2024
Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach.
CoRR, 2024
Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles.
CoRR, 2024
Reflective Human-Machine Co-adaptation for Enhanced Text-to-Image Generation Dialogue System.
CoRR, 2024
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees.
CoRR, 2024
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning.
CoRR, 2024
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary.
CoRR, 2024
CoRR, 2024
RLRF: Reinforcement Learning from Reflection through Debates as Feedback for Bias Mitigation in LLMs.
CoRR, 2024
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models.
CoRR, 2024
CoRR, 2024
Asymptotic tracking control for a class of uncertain nonlinear systems with output constraint.
Appl. Math. Comput., 2024
Evaluating and Enhancing LLMs Agent Based on Theory of Mind in Guandan: A Multi-Player Cooperative Game Under Imperfect Information.
Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2024
Proceedings of the IEEE International Conference on Smart Mobility, 2024
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
2023
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy.
Sensors, 2023
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Smart Mobility, 2023
Cooperative Variable Speed Limit Control using Multi-agent Reinforcement Learning and Evolution Strategy for Improved Throughput in Mixed Traffic.
Proceedings of the IEEE International Conference on Smart Mobility, 2023
2022
CoRR, 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model.
CoRR, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Research on Adjustable Classroom Desks and Chairs Based on the Human Dimensions of Chinese Minors.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication, 2022
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement.
CoRR, 2021
Research on the Design of Smart Bracelets for the Elderly Based on Maslow's Hierarchy of Needs.
Proceedings of the HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture, 2021
2020
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning.
CoRR, 2020
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning.
CoRR, 2019
A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario.
CoRR, 2019
CoRR, 2019
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019