A Dual Hashtables Algorithm for Durable Top-k Search. - Hua Ming; Yong Zhang 002; Chunxiao Xing; Haiyan Yin; Minglu Wang (WISA, 2012)

Mission-Based Scenario Modeling and Generation for Virtual Training. - Linbo Luo 001; Haiyan Yin; Jinghui Zhong; Wentong Cai 001; Michael Lees; Suiping Zhou (AIIDE, 2013)

Dynamic background subtraction based on appearance and motion pattern. - Haiyan Yin; Hua Yang 001; Hang Su 006; Chongyang Zhang (ICME Workshops, 2013)

Interactive scenario generation for mission-based virtual training. - Linbo Luo 001; Haiyan Yin; Wentong Cai 001; Michael Lees; Suiping Zhou (Comput. Animat. Virtual Worlds, 2013)

Towards a data-driven approach to scenario generation for serious games. - Linbo Luo 001; Haiyan Yin; Wentong Cai 001; Michael Lees; Nasri Bin Othman; Suiping Zhou (Comput. Animat. Virtual Worlds, 2014)

Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling. - Jinghui Zhong; Wentong Cai 001; Linbo Luo 001; Haiyan Yin (AAMAS, 2015)

A data-driven approach for online adaptation of game difficulty. - Haiyan Yin; Linbo Luo 001; Wentong Cai 001; Yew-Soon Ong; Jinghui Zhong (CIG, 2015)

Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game. - Haiyan Yin; Linbo Luo 001; Wentong Cai 001; Jinghui Zhong (WI-IAT (2), 2015)

A review of interactive narrative systems and technologies: a training perspective. - Linbo Luo 001; Wentong Cai 001; Suiping Zhou; Michael Lees; Haiyan Yin (Simul., 2015)

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. - Haiyan Yin; Sinno Jialin Pan (AAAI, 2017)

Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. - Haiyan Yin; Sinno Jialin Pan (CoRR, 2017)

Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training. - Linbo Luo 001; Haiyan Yin; Wentong Cai 001; 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; Jianda Chen; Sinno Jialin Pan (IJCAI, 2018)

Improving deep reinforcement learning with advanced exploration and transfer learning techniques - Haiyan Yin (2019)

Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers. - Ruobing Chen 002; Jinping Wu; Haosen Shi 001; Yusen Li; Haiyan Yin; Shanjiang Tang; Xiaoguang Liu 001; Gang Wang 001 (PACT, 2020)

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. - Haiyan Yin; Dingcheng Li; Xu Li 001; Ping Li 001 (AAAI, 2020)

Reinforcement Learning with Efficient Active Feature Acquisition. - Haiyan Yin; Yingzhen Li; Sinno Jialin Pan; Cheng Zhang 005; Sebastian Tschiatschek (CoRR, 2020)

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. - Haiyan Yin; Jianda Chen; Sinno Jialin Pan; Sebastian Tschiatschek (AAAI, 2021)

Causal Discovery with Flow-based Conditional Density Estimation. - Shaogang Ren; Haiyan Yin; Mingming Sun 001; Ping Li 001 (ICDM, 2021)

Mitigating Forgetting in Online Continual Learning with Neuron Calibration. - Haiyan Yin; Peng Yang 013; Ping Li 001 (NeurIPS, 2021)

A Half-Space Problem on the Full Euler-Poisson System. - Renjun Duan; Haiyan Yin; Changjiang Zhu (SIAM J. Math. Anal., 2021)

Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. - Haiyan Yin; Dingcheng Li; Ping Li 001 (NAACL-HLT, 2022)

Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning. - Linbo Luo 001; Yuanjing Li; Haiyan Yin; Shangwei Xie; Ruimin Hu; Wentong Cai 001 (AAAI, 2023)

Distributional Meta-Gradient Reinforcement Learning. - Haiyan Yin; Shuicheng Yan; Zhongwen Xu (ICLR, 2023)

Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. - Sixing Yan; Haiyan Yin; Ivor W. Tsang; William K. Cheung 001 (UNSURE@MICCAI, 2024)

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. - Xin He 019; Shunkang Zhang; Yuxin Wang 003; Haiyan Yin; Zihao Zeng; Shaohuai Shi; Zhenheng Tang; Xiaowen Chu 001; Ivor W. Tsang; Yew-Soon Ong (CoRR, 2024)

Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. - Linbo Luo 001; Shangwei Xie; Haiyan Yin; Chunlei Peng; Yew-Soon Ong (IEEE Trans. Inf. Forensics Secur., 2024)

Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity. - Lei Zhang; Guanyu Gao; Haiyan Yin; Huaizheng Zhang (AAAI, 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 (IJCAI, 2025)

Stability of stationary solutions for inflow problem on the thermally radiative magnetohydrodynamics. - Guiping Liu; Haiyan Yin (Appl. Math. Lett., 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, 2025)

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. - Chengqi Zheng; Jianda Chen; Yueming Lyu; Wen Zheng Terence Ng; Haopeng Zhang 005; Yew-Soon Ong; Ivor W. Tsang; Haiyan Yin (CoRR, 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., 2025)

Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals. - Cheng Chen; Haiyan Yin; Ivor W. Tsang (CoRR, 2025)