Haiyan Yin - RankMe

42 papers A* 12A 1B 1Misc 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization. CoRR Shaodi Feng, Zhuoyi Lin, Yaoxin Wu, Haiyan Yin, Yan Jin, Senthilnath Jayavelu, Xun Xu
2026	A*	`conf`	Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation. AAAI Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2026	J	`jnl`	Hybrid Orchestration of Edge AI and Microservices via Graph-based Self-Imitation Learning. CoRR Chen Yang, Jin Zheng, Zhuolin Yang, Lai Pan, Xiao Zhang, Menglan Hu, Haiyan Yin
2025	J	`jnl`	Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation. CoRR Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2025	A*	`conf`	Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation. ACM Multimedia Ziying Tan, Linbo Luo, Haiyan Yin, Yew-Soon Ong, Wentong Cai
2025	J	`jnl`	Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals. CoRR Cheng Chen, Haiyan Yin, Ivor W. Tsang
2025	A*	`conf`	Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. IJCAI Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration. CoRR Chengqi Zheng, Haiyan Yin, Jianda Chen, Terence Ng, Yew-Soon Ong, Ivor W. Tsang
2025	J	`jnl`	MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. CoRR Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin
2025	A*	`conf`	Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity. AAAI Lei Zhang, Guanyu Gao, Haiyan Yin, Huaizheng Zhang
2025	J	`jnl`	Numerical simulation and multi-objective optimization of braking wear of multi-piston brake pads. J. Supercomput. Zhenhua Tang, Haiyan Yin, Jinmiao Zhao, Chao Ding
2025	J	`jnl`	Reinforcement Learning for Solving the Knapsack Problem. Comput. Mater. Continua Zhenfu Zhang, Haiyan Yin, Liudong Zuo, Pan Lai
2025	J	`jnl`	Stability of stationary solutions for inflow problem on the thermally radiative magnetohydrodynamics. Appl. Math. Lett. Guiping Liu, Haiyan Yin
2024	J	`jnl`	Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. IEEE Trans. Inf. Forensics Secur. Linbo Luo, Shangwei Xie, Haiyan Yin, Chunlei Peng, Yew-Soon Ong
2024	—	`conf`	Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. UNSURE@MICCAI Sixing Yan, Haiyan Yin, Ivor W. Tsang, William K. Cheung
2024	J	`jnl`	ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong
2023	A*	`conf`	Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning. AAAI Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai
2023	A*	`conf`	Distributional Meta-Gradient Reinforcement Learning. ICLR Haiyan Yin, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning. CoRR Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai
2022	—	`conf`	Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning. NAACL-HLT Haiyan Yin, Dingcheng Li, Ping Li
2021	J	`jnl`	A Half-Space Problem on the Full Euler-Poisson System. SIAM J. Math. Anal. Renjun Duan, Haiyan Yin, Changjiang Zhu
2021	A*	`conf`	Causal Discovery with Flow-based Conditional Density Estimation. ICDM Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li
2021	A*	`conf`	Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS Haiyan Yin, Peng Yang, Ping Li
2021	A*	`conf`	Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. AAAI Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek
2020	B	`conf`	Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers. PACT Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Haiyan Yin, Shanjiang Tang, Xiaoguang Liu, Gang Wang
2020	A*	`conf`	Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
2020	J	`jnl`	Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. CoRR Haiyan Yin, Dingcheng Li, Xu Li, Ping Li
2020	J	`jnl`	Reinforcement Learning with Efficient Active Feature Acquisition. CoRR Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek
2019	—	`—`	Improving deep reinforcement learning with advanced exploration and transfer learning techniques Haiyan Yin
2018	A*	`conf`	Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. IJCAI Haiyan Yin, Jianda Chen, Sinno Jialin Pan
2017	J	`jnl`	Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training. IEEE Trans. Comput. Intell. AI Games Linbo Luo, Haiyan Yin, Wentong Cai, Jinghui Zhong, Michael Lees
2017	J	`jnl`	Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. CoRR Haiyan Yin, Sinno Jialin Pan
2017	A*	`conf`	Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay. AAAI Haiyan Yin, Sinno Jialin Pan
2015	—	`conf`	A data-driven approach for online adaptation of game difficulty. CIG Haiyan Yin, Linbo Luo, Wentong Cai, Yew-Soon Ong, Jinghui Zhong
2015	J	`jnl`	A review of interactive narrative systems and technologies: a training perspective. Simul. Linbo Luo, Wentong Cai, Suiping Zhou, Michael Lees, Haiyan Yin
2015	—	`conf`	Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game. WI-IAT (2) Haiyan Yin, Linbo Luo, Wentong Cai, Jinghui Zhong
2015	A	`conf`	Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling. AAMAS Jinghui Zhong, Wentong Cai, Linbo Luo, Haiyan Yin
2014	J	`jnl`	Towards a data-driven approach to scenario generation for serious games. Comput. Animat. Virtual Worlds Linbo Luo, Haiyan Yin, Wentong Cai, Michael Lees, Nasri Bin Othman, Suiping Zhou
2013	—	`conf`	Dynamic background subtraction based on appearance and motion pattern. ICME Workshops Haiyan Yin, Hua Yang, Hang Su, Chongyang Zhang
2013	J	`jnl`	Interactive scenario generation for mission-based virtual training. Comput. Animat. Virtual Worlds Linbo Luo, Haiyan Yin, Wentong Cai, Michael Lees, Suiping Zhou
2013	—	`conf`	Mission-Based Scenario Modeling and Generation for Virtual Training. AIIDE Linbo Luo, Haiyan Yin, Jinghui Zhong, Wentong Cai, Michael Lees, Suiping Zhou
2012	Misc	`conf`	A Dual Hashtables Algorithm for Durable Top-k Search. WISA Hua Ming, Yong Zhang, Chunxiao Xing, Haiyan Yin, Minglu Wang