Haiyan Yin

According to our database, Haiyan Yin authored at least 40 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks.

Jie-Jing Shao, Haiyan Yin, Yueming Lyu, Xingrui Yu, Lan-Zhe Guo, Ivor W. Tsang, James Kwok, Yufeng Li

CoRR, May, 2026

Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization.

Shaodi Feng, Zhuoyi Lin, Yaoxin Wu, Haiyan Yin, Yan Jin, Senthilnath Jayavelu, Xun Xu

CoRR, March, 2026

Hybrid Orchestration of Edge AI and Microservices via Graph-based Self-Imitation Learning.

Chen Yang, Jin Zheng, Zhuolin Yang, Lai Pan, Xiao Zhang, Menglan Hu, Haiyan Yin

CoRR, March, 2026

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.

Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals.

Cheng Chen, Haiyan Yin, Ivor W. Tsang

CoRR, September, 2025

Numerical simulation and multi-objective optimization of braking wear of multi-piston brake pads.

Zhenhua Tang, Haiyan Yin, Jinmiao Zhao, Chao Ding

J. Supercomput., June, 2025

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming.

Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin

CoRR, May, 2025

Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration.

Chengqi Zheng, Haiyan Yin, Jianda Chen, Terence Ng, Yew-Soon Ong, Ivor W. Tsang

CoRR, March, 2025

Reinforcement Learning for Solving the Knapsack Problem.

Zhenfu Zhang, Haiyan Yin, Liudong Zuo, Pan Lai

Comput. Mater. Continua, 2025

Stability of stationary solutions for inflow problem on the thermally radiative magnetohydrodynamics.

Guiping Liu, Haiyan Yin

Appl. Math. Lett., 2025

Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation.

Ziying Tan, Linbo Luo, Haiyan Yin, Yew-Soon Ong, Wentong Cai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey.

Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity.

Lei Zhang, Guanyu Gao, Haiyan Yin, Huaizheng Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events.

Linbo Luo, Shangwei Xie, Haiyan Yin, Chunlei Peng, Yew-Soon Ong

IEEE Trans. Inf. Forensics Secur., 2024

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference.

Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong

CoRR, 2024

Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation.

Sixing Yan, Haiyan Yin, Ivor W. Tsang, William K. Cheung

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

2023

Distributional Meta-Gradient Reinforcement Learning.

Haiyan Yin, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning.

Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning.

Haiyan Yin, Dingcheng Li, Ping Li

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

A Half-Space Problem on the Full Euler-Poisson System.

Renjun Duan, Haiyan Yin, Changjiang Zhu

SIAM J. Math. Anal., 2021

Mitigating Forgetting in Online Continual Learning with Neuron Calibration.

Haiyan Yin, Peng Yang, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Causal Discovery with Flow-based Conditional Density Estimation.

Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li

Proceedings of the IEEE International Conference on Data Mining, 2021

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning.

Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reinforcement Learning with Efficient Active Feature Acquisition.

Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek

CoRR, 2020

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation.

Haiyan Yin, Dingcheng Li, Xu Li, Ping Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers.

Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Haiyan Yin, Shanjiang Tang, Xiaoguang Liu, Gang Wang

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Improving deep reinforcement learning with advanced exploration and transfer learning techniques

Haiyan Yin

PhD thesis, 2019

2018

Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.

Haiyan Yin, Jianda Chen, Sinno Jialin Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training.

Linbo Luo, Haiyan Yin, Wentong Cai, Jinghui Zhong, Michael Lees

IEEE Trans. Comput. Intell. AI Games, 2017

Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.

Haiyan Yin, Sinno Jialin Pan

CoRR, 2017

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay.

Haiyan Yin, Sinno Jialin Pan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

A review of interactive narrative systems and technologies: a training perspective.

Linbo Luo, Wentong Cai, Suiping Zhou, Michael Lees, Haiyan Yin

Simul., 2015

Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game.

Haiyan Yin, Linbo Luo, Wentong Cai, Jinghui Zhong

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

A data-driven approach for online adaptation of game difficulty.

Haiyan Yin, Linbo Luo, Wentong Cai, Yew-Soon Ong, Jinghui Zhong

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling.

Jinghui Zhong, Wentong Cai, Linbo Luo, Haiyan Yin

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Towards a data-driven approach to scenario generation for serious games.

Linbo Luo, Haiyan Yin, Wentong Cai, Michael Lees, Nasri Bin Othman, Suiping Zhou

Comput. Animat. Virtual Worlds, 2014

2013

Interactive scenario generation for mission-based virtual training.

Linbo Luo, Haiyan Yin, Wentong Cai, Michael Lees, Suiping Zhou

Comput. Animat. Virtual Worlds, 2013

Dynamic background subtraction based on appearance and motion pattern.

Haiyan Yin, Hua Yang, Hang Su, Chongyang Zhang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Mission-Based Scenario Modeling and Generation for Virtual Training.

Linbo Luo, Haiyan Yin, Jinghui Zhong, Wentong Cai, Michael Lees, Suiping Zhou

Proceedings of the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013

2012

A Dual Hashtables Algorithm for Durable Top-k Search.

Hua Ming, Yong Zhang, Chunxiao Xing, Haiyan Yin, Minglu Wang

Proceedings of the Ninth Web Information Systems and Applications Conference, 2012