Yin, Haiyan

14 publications

ICLRW 2025 Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals Cheng Chen, Haiyan Yin, Ivor Tsang

IJCAI 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

NeurIPS 2025 InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning Haotian Chi, Zeyu Feng, Yueming Lyu, Chengqi Zheng, Linbo Luo, Yew-Soon Ong, Ivor Tsang, Hechang Chen, Yi Chang, Haiyan Yin

ICLRW 2025 LLMV-AgE: Verifying LLM-Guided Planning for Agentic Exploration in Open-World RL Haotian Chi, Songwei Zhao, Ivor Tsang, Yew-Soon Ong, Hechang Chen, Yi Chang, Haiyan Yin

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

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

ICLR 2023 Distributional Meta-Gradient Reinforcement Learning Haiyan Yin, Shuicheng Yan, Zhongwen Xu

NeurIPSW 2022 CASA: Bridging the Gap Between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng, Haiyan Yin

NeurIPS 2021 Mitigating Forgetting in Online Continual Learning with Neuron Calibration Haiyan Yin, Peng Yang, Ping Li

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

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

NeurIPSW 2020 Reinforcement Learning with Efficient Active Feature Acquisition Haiyan Yin, Yingzhen Li, Sinno Pan, Cheng Zhang, Sebastian Tschiatschek

IJCAI 2018 Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning Haiyan Yin, Jianda Chen, Sinno Jialin Pan

AAAI 2017 Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay Haiyan Yin, Sinno Jialin Pan