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Haiyan Yin
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2020 – today
- 2026
[c21]Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li:
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation. AAAI 2026: 36591-36599
[i13]Chen Yang, Jin Zheng, Zhuolin Yang, Lai Pan, Xiao Zhang, Menglan Hu, Haiyan Yin:
Hybrid Orchestration of Edge AI and Microservices via Graph-based Self-Imitation Learning. CoRR abs/2603.06669 (2026)
[i12]Shaodi Feng, Zhuoyi Lin, Yaoxin Wu, Haiyan Yin, Yan Jin, Senthilnath Jayavelu, Xun Xu:
Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization. CoRR abs/2603.27169 (2026)
[i11]Jie-Jing Shao, Haiyan Yin, Yueming Lyu, Xingrui Yu, Lan-Zhe Guo, Ivor W. Tsang, James Kwok, Yufeng Li:
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks. CoRR abs/2605.01293 (2026)
[i10]Tianyi Tang, Zhuoyi Lin, Zeyu Feng, Tianyi Ma, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin:
Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs. CoRR abs/2606.05966 (2026)- 2025
[j9]Guiping Liu, Haiyan Yin:
Stability of stationary solutions for inflow problem on the thermally radiative magnetohydrodynamics. Appl. Math. Lett. 160: 109358 (2025)
[j8]Zhenfu Zhang, Haiyan Yin, Liudong Zuo, Pan Lai:
Reinforcement Learning for Solving the Knapsack Problem. Comput. Mater. Continua 84(1): 919-936 (2025)
[j7]Zhenhua Tang, Haiyan Yin, Jinmiao Zhao, Chao Ding:
Numerical simulation and multi-objective optimization of braking wear of multi-piston brake pads. J. Supercomput. 81(8): 992 (2025)
[c20]Lei Zhang, Guanyu Gao, Haiyan Yin, Huaizheng Zhang:
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity. AAAI 2025: 1084-1092
[c19]Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong:
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. IJCAI 2025: 10797-10806
[c18]Ziying Tan
, Linbo Luo
, Haiyan Yin
, Yew-Soon Ong
, Wentong Cai
:
Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation. ACM Multimedia 2025: 5913-5921
[i9]Chengqi Zheng, Haiyan Yin, Jianda Chen, Terence Ng, Yew-Soon Ong, Ivor W. Tsang:
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration. CoRR abs/2503.05246 (2025)
[i8]Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang
, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin:
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. CoRR abs/2505.22967 (2025)
[i7]Cheng Chen, Haiyan Yin, Ivor W. Tsang:
Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals. CoRR abs/2509.08809 (2025)
[i6]Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li:
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation. CoRR abs/2511.10233 (2025)- 2024
[j6]Linbo Luo
, Shangwei Xie
, Haiyan Yin
, Chunlei Peng
, Yew-Soon Ong
:
Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. IEEE Trans. Inf. Forensics Secur. 19: 6810-6823 (2024)
[c17]Sixing Yan, Haiyan Yin, Ivor W. Tsang, William K. Cheung:
Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. UNSURE@MICCAI 2024: 34-44
[i5]Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong:
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR abs/2410.17954 (2024)- 2023
[c16]Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai:
Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning. AAAI 2023: 8984-8992
[c15]Haiyan Yin, Shuicheng Yan, Zhongwen Xu:
Distributional Meta-Gradient Reinforcement Learning. ICLR 2023- 2022
[c14]Haiyan Yin, Dingcheng Li, Ping Li:
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT 2022: 1385-1395
[i4]Linbo Luo, Yuanjing Li, Haiyan Yin
, Shangwei Xie, Ruimin Hu, Wentong Cai:
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning. CoRR abs/2212.00501 (2022)- 2021
[j5]Renjun Duan
, Haiyan Yin, Changjiang Zhu
:
A Half-Space Problem on the Full Euler-Poisson System. SIAM J. Math. Anal. 53(5): 6094-6121 (2021)
[c13]Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek:
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. AAAI 2021: 10700-10708
[c12]Shaogang Ren, Haiyan Yin
, Mingming Sun, Ping Li:
Causal Discovery with Flow-based Conditional Density Estimation. ICDM 2021: 1300-1305
[c11]Haiyan Yin, Peng Yang, Ping Li:
Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS 2021: 10260-10272- 2020
[c10]Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Haiyan Yin
, Shanjiang Tang, Xiaoguang Liu, Gang Wang:
Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers. PACT 2020: 153-154
[c9]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI 2020: 9466-9473
[i3]Haiyan Yin, Dingcheng Li, Xu Li, Ping Li:
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR abs/2003.11530 (2020)
[i2]Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek:
Reinforcement Learning with Efficient Active Feature Acquisition. CoRR abs/2011.00825 (2020)
2010 – 2019
- 2019
[b1]Haiyan Yin:
Improving deep reinforcement learning with advanced exploration and transfer learning techniques. Nanyang Technological University, Singapore, 2019- 2018
[c8]Haiyan Yin
, Jianda Chen, Sinno Jialin Pan
:
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. IJCAI 2018: 3026-3032- 2017
[j4]Linbo Luo, Haiyan Yin
, Wentong Cai
, Jinghui Zhong, Michael Lees
:
Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training. IEEE Trans. Comput. Intell. AI Games 9(3): 213-226 (2017)
[c7]Haiyan Yin, Sinno Jialin Pan:
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. AAAI 2017: 1640-1646
[i1]Haiyan Yin, Sinno Jialin Pan:
Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. CoRR abs/1707.00524 (2017)- 2015
[j3]Linbo Luo, Wentong Cai
, Suiping Zhou, Michael Lees
, Haiyan Yin
:
A review of interactive narrative systems and technologies: a training perspective. Simul. 91(2): 126-147 (2015)
[c6]Jinghui Zhong, Wentong Cai, Linbo Luo, Haiyan Yin:
Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling. AAMAS 2015: 801-809
[c5]Haiyan Yin
, Linbo Luo, Wentong Cai
, Yew-Soon Ong
, Jinghui Zhong:
A data-driven approach for online adaptation of game difficulty. CIG 2015: 146-153
[c4]Haiyan Yin
, Linbo Luo, Wentong Cai
, Jinghui Zhong:
Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game. WI-IAT (2) 2015: 308-311- 2014
[j2]Linbo Luo, Haiyan Yin
, Wentong Cai
, Michael Lees
, Nasri Bin Othman
, Suiping Zhou:
Towards a data-driven approach to scenario generation for serious games. Comput. Animat. Virtual Worlds 25(3-4): 395-404 (2014)- 2013
[j1]Linbo Luo, Haiyan Yin
, Wentong Cai
, Michael Lees
, Suiping Zhou:
Interactive scenario generation for mission-based virtual training. Comput. Animat. Virtual Worlds 24(3-4): 345-354 (2013)
[c3]Linbo Luo, Haiyan Yin, Jinghui Zhong, Wentong Cai, Michael Lees, Suiping Zhou:
Mission-Based Scenario Modeling and Generation for Virtual Training. AIIDE 2013
[c2]Haiyan Yin, Hua Yang, Hang Su, Chongyang Zhang:
Dynamic background subtraction based on appearance and motion pattern. ICME Workshops 2013: 1-6- 2012
[c1]Hua Ming, Yong Zhang, Chunxiao Xing
, Haiyan Yin, Minglu Wang:
A Dual Hashtables Algorithm for Durable Top-k Search. WISA 2012: 75-80
Coauthor Index

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last updated on 2026-07-07 01:36 CEST by the dblp team
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