Lü Shuai, 吕帅

毕业硕士生

朱文博，女，2000年08月生，吉林省长春市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇，在审学术论文6篇。

  1. Zhu Wenbo, Xiao Wei, Lü Shuai*. Soft-penalty guided exploration in reinforcement learning. 2025. (Submitted)
  2. Long Zehong, Zhu Wenbo, Zhang Yushu, Lü Shuai*, Lin Dajun. Efficient exploration via state distribution discrepancy maximization in deep reinforcement learning. 2025. (Submitted)
  3. Zhu Wenbo, Lü Shuai*, Long Zehong, Wu Junhong. Feature distillation for exploration in reinforcement learning. 2023. (Submitted)
  4. Zhou Ruikai, Zhong Taihong, Zhu Wenbo, Han Shuai, Lü Shuai*. Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. 2025. (Submitted)
  5. Long Zehong, Zhu Wenbo, Lü Shuai*, Wu Junhong, Zhong Taihong. Breaking the sample efficiency barrier by rethinking experience replay. 2025. (Submitted)
  6. Zhu Sheng, Wu Hao, Shen Chun, Zhu Wenbo, Han Shuai, Lü Shuai*. Actor-critic of multi-agent collaboration on single-agent task. 2025. (Submitted)
  7. Zhou Ruikai, Zhu Wenbo, Han Shuai, Kang Meng, Lü Shuai*. VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs. Neural Networks, 2025, 184: 107052. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 6.3)
  8. Li Jingyao, Lü Shuai, Zhu Wenbo, Li Zhanshan*. Enhancing transferability and discriminability simultaneously for unsupervised domain adaptation. Knowledge-Based Systems, 2022, 247: 108705. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.8)

【学位论文】

  1. 朱文博. 基于特征蒸馏和软惩罚引导的强化学习探索方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

张鑫宇，男，1999年04月生，黑龙江省齐齐哈尔市人。

【学术论文】在国内外期刊和会议上发表学术论文3篇，在审学术论文2篇。

  1. Yuan Jianhui, Zhang Xinyu, Li Guixiang, Tan Lei, Li Jingyao*, Zhou Wenbo*. GRACE: Enhancing source-free universal domain adaptation via gradient-aware contrastive learning and entropy-aware alignment. 2025. (Submitted)
  2. Lü Shuai, Yuan Jianhui, Zhang Xinyu, Zhang Shaojie, Fang Wensi, Li Jingyao*. Pre-trained initialization and memory-enhanced correction for source-free universal domain adaptation. 2025. (Submitted)
  3. Lü Shuai, Zhang Xinyu, Li Zongze, Li Jingyao*, Kang Meng. Bi-classifier with neighborhood aggregation for unsupervised domain adaptation. Information Sciences, 2025, 718: 122399. (中科院2区期刊, CCF推荐B类期刊, SCI, 目前IF: 6.8)
  4. Zhang Xinyu, Kang Meng, Lü Shuai*. Low category uncertainty and high training potential instance learning for unsupervised domain adaptation. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 16881-16889. (CCF推荐A类会议)
  5. Lü Shuai, Li Zongze, Zhang Xinyu, Li Jingyao*. Consistency regularization-based mutual alignment for source-free domain adaptation. Expert Systems with Applications, 2024, 241: 122577. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)

【学位论文】

  1. 张鑫宇. 基于自监督学习的无监督领域自适应方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

张泽宇，男，2000年09月生，山东省滨州市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇，在审学术论文1篇。

  1. Zhang Zeyu, Shen Chun, Ma Qiang, Kang Meng, Lü Shuai*. Prototype-driven active domain adaptation with density consideration. 2025. (Submitted)
  2. Zhang Zeyu, Shen Chun, Lü Shuai*, Zhang Shaojie. Reconfigurability-aware selection for contrastive active domain adaptation. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, South Korea, August 3-9, 2024, 5545-5553. (CCF推荐A类会议)
  3. Zhang Shaojie, Shen Chun, Lü Shuai*, Zhang Zeyu. Reviewing the forgotten classes for domain adaptation of black-box predictors. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 16830-16837. (CCF推荐A类会议)

【学位论文】

  1. 张泽宇. 基于主动学习的领域自适应方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

林炟君，女，2000年08月生，福建省莆田市人。

【学术论文和发明专利】在国内外期刊和会议上发表学术论文0篇，在审学术论文2篇，授权发明专利1项。

  1. Lin Dajun, Li Songlin, Lü Shuai*, Zhou Wenbo*, Zhong Taihong, An Daolong. WCPC-TD3: Weighted contrastive policy constraint for offline reinforcement learning. 2025. (Submitted)
  2. Long Zehong, Zhu Wenbo, Zhang Yushu, Lü Shuai*, Lin Dajun. Efficient exploration via state distribution discrepancy maximization in deep reinforcement learning. 2025. (Submitted)
  3. 吕帅, 龙泽泓, 钟太鸿, 林炟君. 一种基于SAC强化学习算法的智能运动控制方法. (专利号: ZL 2024 1 0726196.6, 授权公告日: 2024.08.13)

【学位论文】

  1. 林炟君. 基于策略约束和反探索的离线强化学习方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

张少杰，男，2000年04月生，安徽省合肥市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇，在审学术论文1篇。

  1. Lü Shuai, Yuan Jianhui, Zhang Xinyu, Zhang Shaojie, Fang Wensi, Li Jingyao*. Pre-trained initialization and memory-enhanced correction for source-free universal domain adaptation. 2025. (Submitted)
  2. Zhang Zeyu, Shen Chun, Lü Shuai*, Zhang Shaojie. Reconfigurability-aware selection for contrastive active domain adaptation. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, South Korea, August 3-9, 2024, 5545-5553. (CCF推荐A类会议)
  3. Zhang Shaojie, Shen Chun, Lü Shuai*, Zhang Zeyu. Reviewing the forgotten classes for domain adaptation of black-box predictors. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 16830-16837. (CCF推荐A类会议)

【学位论文】

  1. 张少杰. 基于黑盒模型的无源领域自适应方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

钟太鸿，男，1999年11月生，辽宁省大连市人。

【学术论文和发明专利】在国内外期刊和会议上发表学术论文0篇，在审学术论文6篇，授权发明专利1项。

  1. Wu Hao, Li Songlin, Xiao Wei, Zhong Taihong, Lü Shuai*. Offline-to-online reinforcement learning with triple-intensity policy constraints. 2025. (Submitted)
  2. Lin Dajun, Li Songlin, Lü Shuai*, Zhou Wenbo*, Zhong Taihong, An Daolong. WCPC-TD3: Weighted contrastive policy constraint for offline reinforcement learning. 2025. (Submitted)
  3. Zhou Ruikai, Zhong Taihong, Li Songlin, Lü Shuai*. A Kullback-Leibler divergence perspective on policy gradient methods in reinforcement learning. 2025. (Submitted)
  4. Zhou Ruikai, Zhong Taihong, Zhu Wenbo, Han Shuai, Lü Shuai*. Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. 2025. (Submitted)
  5. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. 2025. (Submitted)
  6. Long Zehong, Zhu Wenbo, Lü Shuai*, Wu Junhong, Zhong Taihong. Breaking the sample efficiency barrier by rethinking experience replay. 2025. (Submitted)
  7. 吕帅, 龙泽泓, 钟太鸿, 林炟君. 一种基于SAC强化学习算法的智能运动控制方法. (专利号: ZL 2024 1 0726196.6, 授权公告日: 2024.08.13)

【学位论文】

  1. 钟太鸿. 基于分布偏移的深度强化学习方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

吴珺泓，男，2000年09月生，山东省莱西市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇，在审学术论文4篇。

  1. Wu Junhong, Liu Jie, Xiong Xi, An Daolong, Lü Shuai*. Focus on primary: Differential diverse data augmentation for generalization in visual reinforcement learning. 2025. (Submitted)
  2. Zhu Wenbo, Lü Shuai*, Long Zehong, Wu Junhong. Feature distillation for exploration in reinforcement learning. 2023. (Submitted)
  3. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. 2025. (Submitted)
  4. Long Zehong, Zhu Wenbo, Lü Shuai*, Wu Junhong, Zhong Taihong. Breaking the sample efficiency barrier by rethinking experience replay. 2025. (Submitted)
  5. Xiong Xi, Shen Chun, Wu Junhong, Lü Shuai*, Zhang Xiaodan. Combined data augmentation framework for generalizing deep reinforcement learning from pixels. Expert Systems with Applications, 2025, 264: 125810. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, 目前IF: 7.5)
  6. Zhu Sheng, Shen Chun, Lü Shuai*, Wu Junhong, An Daolong. Double buffers CEM-TD3: More efficient evolution and richer exploration. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 17193-17201. (CCF推荐A类会议)

【学位论文】

  1. 吴珺泓. 基于数据增强的可泛化视觉强化学习研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

安道龙，男，1998年10月生，河南省濮阳市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇，在审学术论文5篇。

  1. Xiao Wei, Li Songlin, An Daolong, Wu Hao, Zhang Xiaodan, Lü Shuai*. Corrected critic and adaptive constraint for offline-to-online reinforcement learning. 2025. (Submitted)
  2. Li Songlin, Xiao Wei, Wu Hao, Zhang Xiaodan, An Daolong, Lü Shuai*. State proficiency-based adaptive fine-tuning for offline-to-online reinforcement learning. 2025. (Submitted)
  3. An Daolong, Shen Chun, Li Songlin, Xiao Wei, Lü Shuai*, Zhou Wenbo*. Result constraint behavior clone for offline reinforcement learning. 2025. (Submitted)
  4. Lin Dajun, Li Songlin, Lü Shuai*, Zhou Wenbo*, Zhong Taihong, An Daolong. WCPC-TD3: Weighted contrastive policy constraint for offline reinforcement learning. 2025. (Submitted)
  5. Wu Junhong, Liu Jie, Xiong Xi, An Daolong, Lü Shuai*. Focus on primary: Differential diverse data augmentation for generalization in visual reinforcement learning. 2025. (Submitted)
  6. Shu Man, Lü Shuai*, Gong Xiaoyu, An Daolong, Li Songlin. Episodic memory-double actor-critic twin delayed deep deterministic policy gradient. Neural Networks, 2025, 187: 107286. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 6.3)
  7. Zhu Sheng, Shen Chun, Lü Shuai*, Wu Junhong, An Daolong. Double buffers CEM-TD3: More efficient evolution and richer exploration. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 17193-17201. (CCF推荐A类会议)

【学位论文】

  1. 安道龙. 基于结果约束和梯度权重的离线强化学习方法研究[硕士学位论文]. 长春: 吉林大学, 2025.

【荣誉奖励】

【联系方式】

熊玺，男，1997年05月生，山西省运城市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇，在审学术论文1篇。

  1. Wu Junhong, Liu Jie, Xiong Xi, An Daolong, Lü Shuai*. Focus on primary: Differential diverse data augmentation for generalization in visual reinforcement learning. 2025. (Submitted)
  2. Xiong Xi, Shen Chun, Wu Junhong, Lü Shuai*, Zhang Xiaodan. Combined data augmentation framework for generalizing deep reinforcement learning from pixels. Expert Systems with Applications, 2025, 264: 125810. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, 目前IF: 7.5)
  3. Zhang Junwei, Han Shuai, Xiong Xi, Zhu Sheng, Lü Shuai*. Explorer-Actor-Critic: Better actors for deep reinforcement learning. Information Sciences, 2024, 662: 120255. (中科院2区期刊, CCF推荐B类期刊, SCI, IF: 6.8)

【学位论文】

  1. 熊玺. 用于泛化图像深度强化学习的组合数据增强框架[硕士学位论文]. 长春: 吉林大学, 2024.

【荣誉奖励】

【联系方式】

龙泽泓，男，1999年06月生，山西省大同市人。

【学术论文和发明专利】在国内外期刊和会议上发表学术论文0篇，在审学术论文4篇，授权发明专利1项。

  1. Long Zehong, Zhu Wenbo, Zhang Yushu, Lü Shuai*, Lin Dajun. Efficient exploration via state distribution discrepancy maximization in deep reinforcement learning. 2025. (Submitted)
  2. Zhu Wenbo, Lü Shuai*, Long Zehong, Wu Junhong. Feature distillation for exploration in reinforcement learning. 2023. (Submitted)
  3. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. 2025. (Submitted)
  4. Long Zehong, Zhu Wenbo, Lü Shuai*, Wu Junhong, Zhong Taihong. Breaking the sample efficiency barrier by rethinking experience replay. 2025. (Submitted)
  5. 吕帅, 龙泽泓, 钟太鸿, 林炟君. 一种基于SAC强化学习算法的智能运动控制方法. (专利号: ZL 2024 1 0726196.6, 授权公告日: 2024.08.13)

【学位论文】

  1. 龙泽泓. 基于高效经验回放与空间覆盖的深度强化学习优化算法研究[硕士学位论文]. 长春: 吉林大学, 2024.

【联系方式】

舒曼，女，1999年10月生，吉林省长春市人。

【学术论文】在国内外期刊和会议上发表学术论文1篇。

  1. Shu Man, Lü Shuai*, Gong Xiaoyu, An Daolong, Li Songlin. Episodic memory-double actor-critic twin delayed deep deterministic policy gradient. Neural Networks, 2025, 187: 107286. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 6.3)

【学位论文】

  1. 舒曼. 基于情节记忆的深度强化学习方法研究[硕士学位论文]. 长春: 吉林大学, 2024.

【荣誉奖励】

张玉树，男，1999年06月生，河北省辛集市人。

【学术论文】在国内外期刊和会议上发表学术论文0篇，在审学术论文2篇。

  1. Long Zehong, Zhu Wenbo, Zhang Yushu, Lü Shuai*, Lin Dajun. Efficient exploration via state distribution discrepancy maximization in deep reinforcement learning. 2025. (Submitted)
  2. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. 2025. (Submitted)

【学位论文】

  1. 张玉树. 基于极值理论的强化学习优化算法研究[硕士学位论文]. 长春: 吉林大学, 2024.

【联系方式】

马强，男，1996年01月生，山西省阳泉市人。

【学术论文】在国内外期刊和会议上发表学术论文0篇，在审学术论文1篇。

  1. Zhang Zeyu, Shen Chun, Ma Qiang, Kang Meng, Lü Shuai*. Prototype-driven active domain adaptation with density consideration. 2025. (Submitted)

【学位论文】

  1. 马强. 结合自监督学习的无监督领域自适应方法研究[硕士学位论文]. 长春: 吉林大学, 2024.

【荣誉奖励】

【联系方式】

罗敬，男，1999年07月生，四川省自贡市人。

【学位论文】

  1. 罗敬. 基于探索和偏差估计的深度强化学习方法研究[硕士学位论文]. 长春: 吉林大学, 2024.

【荣誉奖励】

张峻伟，男，1998年12月生，吉林省通化市人。

【学术论文】在国内外期刊和会议上发表学术论文8篇。

  1. Zheng Mingsheng, Zhang Junwei, Zhan Changshuai, Ren Xinyu, Lü Shuai*. Proximal policy optimization with reward-based prioritization. Expert Systems with Applications, 2025, 283: 127659. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, 目前IF: 7.5)
  2. Zhang Junwei, Han Shuai, Xiong Xi, Zhu Sheng, Lü Shuai*. Explorer-Actor-Critic: Better actors for deep reinforcement learning. Information Sciences, 2024, 662: 120255. (中科院2区期刊, CCF推荐B类期刊, SCI, IF: 6.8)
  3. 张峻伟, 吕帅*, 张正昊, 于佳玉, 龚晓宇. 基于样本效率优化的深度强化学习方法综述. 软件学报, 2022, 33(11): 4217-4238. (CCF推荐中文A类期刊)
  4. Lu Jiayi, Han Shuai, Lü Shuai*, Kang Meng, Zhang Junwei. Sampling diversity driven exploration with state difference guidance. Expert Systems with Applications, 2022, 203: 117418. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)
  5. Zhang Junwei, Zhang Zhenghao, Han Shuai, Lü Shuai*. Proximal policy optimization via enhanced exploration efficiency. Information Sciences, 2022, 609: 750-765. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.1)
  6. 吕帅, 龚晓宇, 张正昊, 韩帅, 张峻伟. 结合进化算法的深度强化学习方法研究综述. 计算机学报, 2022, 45(7): 1478-1499. (CCF推荐中文A类期刊)
  7. Li Junjie, Zhang Junwei, Gong Xiaoyu, Lü Shuai*. Evolutionary generative adversarial networks with crossover based knowledge distillation. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), Virtual Event, July 18-22, 2021, 1-8. (CCF推荐C类会议)
  8. Lü Shuai*, Han Shuai, Zhou Wenbo, Zhang Junwei. Recruitment-imitation mechanism for evolutionary reinforcement learning. Information Sciences, 2021, 553: 172-188. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.233)

【学位论文】

  1. 张峻伟. 基于过估计控制与探索增强的强化学习优化方法[硕士学位论文]. 长春: 吉林大学, 2023.

【荣誉奖励】

李宗泽，男，1998年08月生，河南省焦作市人。

【学术论文】在国内外期刊和会议上发表学术论文3篇。

  1. Lü Shuai, Zhang Xinyu, Li Zongze, Li Jingyao*, Kang Meng. Bi-classifier with neighborhood aggregation for unsupervised domain adaptation. Information Sciences, 2025, 718: 122399. (中科院2区期刊, CCF推荐B类期刊, SCI, 目前IF: 6.8)
  2. Lü Shuai, Li Zongze, Zhang Xinyu, Li Jingyao*. Consistency regularization-based mutual alignment for source-free domain adaptation. Expert Systems with Applications, 2024, 241: 122577. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)
  3. Gong Xiaoyu, Lü Shuai*, Yu Jiayu, Zhu Sheng, Li Zongze. Adaptive estimation Q-learning with uncertainty and familiarity. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 19-25, 2023, 3750-3758. (CCF推荐A类会议)

【学位论文】

  1. 李宗泽. 无需源域的无监督领域自适应算法研究[硕士学位论文]. 长春: 吉林大学, 2023.

【荣誉奖励】

康勐，男，1998年06月生，陕西省西安市人。

【学术论文】在国内外期刊和会议上发表学术论文5篇，在审学术论文1篇。

  1. Zhang Zeyu, Shen Chun, Ma Qiang, Kang Meng, Lü Shuai*. Prototype-driven active domain adaptation with density consideration. 2025. (Submitted)
  2. Lü Shuai, Zhang Xinyu, Li Zongze, Li Jingyao*, Kang Meng. Bi-classifier with neighborhood aggregation for unsupervised domain adaptation. Information Sciences, 2025, 718: 122399. (中科院2区期刊, CCF推荐B类期刊, SCI, 目前IF: 6.8)
  3. Zhou Ruikai, Zhu Wenbo, Han Shuai, Kang Meng, Lü Shuai*. VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs. Neural Networks, 2025, 184: 107052. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 6.3)
  4. Lü Shuai, Kang Meng, Li Ximing*. Alleviating imbalanced pseudo-label distribution: Self-supervised multi-source domain adaptation with label-specific confidence. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, South Korea, August 3-9, 2024, 4669-4677. (CCF推荐A类会议)
  5. Zhang Xinyu, Kang Meng, Lü Shuai*. Low category uncertainty and high training potential instance learning for unsupervised domain adaptation. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 16881-16889. (CCF推荐A类会议)
  6. Lu Jiayi, Han Shuai, Lü Shuai*, Kang Meng, Zhang Junwei. Sampling diversity driven exploration with state difference guidance. Expert Systems with Applications, 2022, 203: 117418. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)

【学位论文】

  1. 康勐. 基于自监督学习的多源领域适应方法研究[硕士学位论文]. 长春: 吉林大学, 2023.

【荣誉奖励】

【联系方式】

龚晓宇，男，1997年12月生，湖北省十堰市人。

【学术论文】在国内外期刊和会议上发表学术论文8篇。

  1. Shu Man, Lü Shuai*, Gong Xiaoyu, An Daolong, Li Songlin. Episodic memory-double actor-critic twin delayed deep deterministic policy gradient. Neural Networks, 2025, 187: 107286. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 6.3)
  2. Shen Chun, Zhu Sheng, Han Shuai, Gong Xiaoyu, Lü Shuai*. Guided deterministic policy optimization with gradient-free policy parameters information. Expert Systems with Applications, 2023, 231: 120693. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)
  3. Gong Xiaoyu, Lü Shuai*, Yu Jiayu, Zhu Sheng, Li Zongze. Adaptive estimation Q-learning with uncertainty and familiarity. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 19-25, 2023, 3750-3758. (CCF推荐A类会议)
  4. Han Shuai, Zhou Wenbo, Lü Shuai*, Zhu Sheng, Gong Xiaoyu. Entropy regularization methods for parameter space exploration. Information Sciences, 2023, 622: 476-489. (中科院1区TOP期刊, CCF推荐B类期刊, SCI)
  5. 张峻伟, 吕帅*, 张正昊, 于佳玉, 龚晓宇. 基于样本效率优化的深度强化学习方法综述. 软件学报, 2022, 33(11): 4217-4238. (CCF推荐中文A类期刊)
  6. 吕帅, 龚晓宇, 张正昊, 韩帅, 张峻伟. 结合进化算法的深度强化学习方法研究综述. 计算机学报, 2022, 45(7): 1478-1499. (CCF推荐中文A类期刊)
  7. Gong Xiaoyu, Yu Jiayu, Lü Shuai*, Lu Hengwei. Actor-critic with familiarity-based trajectory experience replay. Information Sciences, 2022, 582: 633-647. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.1)
  8. Li Junjie, Zhang Junwei, Gong Xiaoyu, Lü Shuai*. Evolutionary generative adversarial networks with crossover based knowledge distillation. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), Virtual Event, July 18-22, 2021, 1-8. (CCF推荐C类会议)

【学位论文】

  1. 龚晓宇. 基于熟悉度的深度强化学习优化算法研究[硕士学位论文]. 长春: 吉林大学, 2023.

【荣誉奖励】

朱盛，男，1999年04月生，江西省赣州市人。

【学术论文】在国内外期刊和会议上发表学术论文5篇，在审学术论文1篇。

  1. Zhu Sheng, Wu Hao, Shen Chun, Zhu Wenbo, Han Shuai, Lü Shuai*. Actor-critic of multi-agent collaboration on single-agent task. 2025. (Submitted)
  2. Zhang Junwei, Han Shuai, Xiong Xi, Zhu Sheng, Lü Shuai*. Explorer-Actor-Critic: Better actors for deep reinforcement learning. Information Sciences, 2024, 662: 120255. (中科院2区期刊, CCF推荐B类期刊, SCI, IF: 6.8)
  3. Zhu Sheng, Shen Chun, Lü Shuai*, Wu Junhong, An Daolong. Double buffers CEM-TD3: More efficient evolution and richer exploration. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024, 17193-17201. (CCF推荐A类会议)
  4. Shen Chun, Zhu Sheng, Han Shuai, Gong Xiaoyu, Lü Shuai*. Guided deterministic policy optimization with gradient-free policy parameters information. Expert Systems with Applications, 2023, 231: 120693. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)
  5. Gong Xiaoyu, Lü Shuai*, Yu Jiayu, Zhu Sheng, Li Zongze. Adaptive estimation Q-learning with uncertainty and familiarity. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 19-25, 2023, 3750-3758. (CCF推荐A类会议)
  6. Han Shuai, Zhou Wenbo, Lü Shuai*, Zhu Sheng, Gong Xiaoyu. Entropy regularization methods for parameter space exploration. Information Sciences, 2023, 622: 476-489. (中科院1区TOP期刊, CCF推荐B类期刊, SCI)

【学位论文】

  1. 朱盛. 双智能体协作的深度强化学习算法研究[硕士学位论文]. 长春: 吉林大学, 2023.

【荣誉奖励】

【联系方式】

于佳玉，男，1997年04月生，河北省沧州市人。

【学术论文】在国内外期刊和会议上发表学术论文5篇。

  1. Yu Jiayu, Li Jingyao, Lü Shuai*, Han Shuai. Mixed experience sampling for off-policy reinforcement learning. Expert Systems with Applications, 2024, 251: 124017. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)
  2. Gong Xiaoyu, Lü Shuai*, Yu Jiayu, Zhu Sheng, Li Zongze. Adaptive estimation Q-learning with uncertainty and familiarity. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 19-25, 2023, 3750-3758. (CCF推荐A类会议)
  3. 张峻伟, 吕帅*, 张正昊, 于佳玉, 龚晓宇. 基于样本效率优化的深度强化学习方法综述. 软件学报, 2022, 33(11): 4217-4238. (CCF推荐中文A类期刊)
  4. Gong Xiaoyu, Yu Jiayu, Lü Shuai*, Lu Hengwei. Actor-critic with familiarity-based trajectory experience replay. Information Sciences, 2022, 582: 633-647. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.1)
  5. Han Shuai, Zhou Wenbo, Lü Shuai*, Yu Jiayu. Regularly updated deterministic policy gradient algorithm. Knowledge-Based Systems, 2021, 214: 106736. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.139)

【学位论文】

  1. 于佳玉. 基于采样频次和相似性的经验回放[硕士学位论文]. 长春: 吉林大学, 2022.

【荣誉奖励】

张正昊，男，1996年07月生，河南省安阳市人。

【学术论文】在国内外期刊和会议上发表学术论文3篇。

  1. 张峻伟, 吕帅*, 张正昊, 于佳玉, 龚晓宇. 基于样本效率优化的深度强化学习方法综述. 软件学报, 2022, 33(11): 4217-4238. (CCF推荐中文A类期刊)
  2. Zhang Junwei, Zhang Zhenghao, Han Shuai, Lü Shuai*. Proximal policy optimization via enhanced exploration efficiency. Information Sciences, 2022, 609: 750-765. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.1)
  3. 吕帅, 龚晓宇, 张正昊, 韩帅, 张峻伟. 结合进化算法的深度强化学习方法研究综述. 计算机学报, 2022, 45(7): 1478-1499. (CCF推荐中文A类期刊)

【学位论文】

  1. 张正昊. 进化强化学习的优化算法研究[硕士学位论文]. 长春: 吉林大学, 2022.

【荣誉奖励】

路笳艺，女，1997年03月生，吉林省四平市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇。

  1. Lu Jiayi, Han Shuai, Lü Shuai*, Kang Meng, Zhang Junwei. Sampling diversity driven exploration with state difference guidance. Expert Systems with Applications, 2022, 203: 117418. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)
  2. Han Shuai, Zhou Wenbo, Lu Jiayi, Liu Jing, Lü Shuai*. NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration. Expert Systems with Applications, 2022, 203: 117343. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)

【学位论文】

  1. 路笳艺. 采样多样性驱动的深度强化学习探索方法研究[硕士学位论文]. 长春: 吉林大学, 2022.

【荣誉奖励】

李俊劼，男，1995年10月生，安徽省黄山市人。

【学术论文】在国内外期刊和会议上发表学术论文1篇。

  1. Li Junjie, Zhang Junwei, Gong Xiaoyu, Lü Shuai*. Evolutionary generative adversarial networks with crossover based knowledge distillation. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), Virtual Event, July 18-22, 2021, 1-8. (CCF推荐C类会议)

【学位论文】

  1. 李俊劼. 含有通用交叉算子的进化生成对抗网络[硕士学位论文]. 长春: 吉林大学, 2021.

【荣誉奖励】

刘京，男，1995年11月生，河南省灵宝市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇。

  1. Han Shuai, Zhou Wenbo, Lu Jiayi, Liu Jing, Lü Shuai*. NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration. Expert Systems with Applications, 2022, 203: 117343. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)
  2. 吕帅, 刘京. 基于深度强化学习的随机局部搜索启发式方法. 吉林大学学报(工学版), 2021, 51(4): 1420-1426.

【学位论文】

  1. 刘京. 基于深度学习的SAT问题随机局部搜索算法[硕士学位论文]. 长春: 吉林大学, 2021.

【荣誉奖励】

韩帅，男，1996年07月生，河北省廊坊市人。

【学术论文】在国内外期刊和会议上发表学术论文12篇，在审学术论文3篇。

  1. Zhou Ruikai, Zhong Taihong, Zhu Wenbo, Han Shuai, Lü Shuai*. Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. 2025. (Submitted)
  2. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. 2025. (Submitted)
  3. Zhu Sheng, Wu Hao, Shen Chun, Zhu Wenbo, Han Shuai, Lü Shuai*. Actor-critic of multi-agent collaboration on single-agent task. 2025. (Submitted)
  4. Zhou Ruikai, Zhu Wenbo, Han Shuai, Kang Meng, Lü Shuai*. VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs. Neural Networks, 2025, 184: 107052. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 6.3)
  5. Yu Jiayu, Li Jingyao, Lü Shuai*, Han Shuai. Mixed experience sampling for off-policy reinforcement learning. Expert Systems with Applications, 2024, 251: 124017. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)
  6. Zhang Junwei, Han Shuai, Xiong Xi, Zhu Sheng, Lü Shuai*. Explorer-Actor-Critic: Better actors for deep reinforcement learning. Information Sciences, 2024, 662: 120255. (中科院2区期刊, CCF推荐B类期刊, SCI, IF: 6.8)
  7. Shen Chun, Zhu Sheng, Han Shuai, Gong Xiaoyu, Lü Shuai*. Guided deterministic policy optimization with gradient-free policy parameters information. Expert Systems with Applications, 2023, 231: 120693. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 7.5)
  8. Han Shuai, Zhou Wenbo, Lü Shuai*, Zhu Sheng, Gong Xiaoyu. Entropy regularization methods for parameter space exploration. Information Sciences, 2023, 622: 476-489. (中科院1区TOP期刊, CCF推荐B类期刊, SCI)
  9. Lu Jiayi, Han Shuai, Lü Shuai*, Kang Meng, Zhang Junwei. Sampling diversity driven exploration with state difference guidance. Expert Systems with Applications, 2022, 203: 117418. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)
  10. Han Shuai, Zhou Wenbo, Lu Jiayi, Liu Jing, Lü Shuai*. NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration. Expert Systems with Applications, 2022, 203: 117343. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.5)
  11. Zhang Junwei, Zhang Zhenghao, Han Shuai, Lü Shuai*. Proximal policy optimization via enhanced exploration efficiency. Information Sciences, 2022, 609: 750-765. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.1)
  12. 吕帅, 龚晓宇, 张正昊, 韩帅, 张峻伟. 结合进化算法的深度强化学习方法研究综述. 计算机学报, 2022, 45(7): 1478-1499. (CCF推荐中文A类期刊)
  13. Lü Shuai*, Han Shuai, Zhou Wenbo, Zhang Junwei. Recruitment-imitation mechanism for evolutionary reinforcement learning. Information Sciences, 2021, 553: 172-188. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, IF: 8.233)
  14. Han Shuai, Zhou Wenbo, Lü Shuai*, Yu Jiayu. Regularly updated deterministic policy gradient algorithm. Knowledge-Based Systems, 2021, 214: 106736. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, IF: 8.139)
  15. Zhang Lei, Han Shuai, Zhang Zhiruo, Li Lefan, Lü Shuai*. Deep recurrent deterministic policy gradient for physical control. In: Proceedings of the 29th International Conference on Artificial Neural Networks (ICANN 2020), Bratislava, Slovakia, September 15-18, 2020, LNCS 12397, 257-268. (CCF推荐C类会议)

【学位论文】

  1. 韩帅. 基于熵正则化和定期更新的深度确定性策略梯度[硕士学位论文]. 长春: 吉林大学, 2021.

【荣誉奖励】

【联系方式】

张桐搏，男，1995年01月生，吉林省长春市人。

【学术论文】在国内外期刊和会议上发表学术论文15篇。

  1. Lü Shuai, Zhang Tongbo, Xu Yue, Zhou Wenbo, Lai Yong*. Combining bounded solving and controllable randomization for approximate model counting. Journal of Experimental & Theoretical Artificial Intelligence, 2024, 36(7): 1075-1088. (中科院4区期刊, CCF推荐C类期刊, SCI, IF: 1.7)
  2. 李壮, 刘磊, 张桐搏, 周文博, 吕帅*. 基于局部搜索的并行扩展规则推理方法. 软件学报, 2021, 32(9): 2744-2754. (CCF推荐中文A类期刊)
  3. 吕帅, 徐玥, 张桐搏, 李广力, 池策. 云环境下网络感知的虚拟机分配问题的求解方法. 吉林大学学报(工学版), 2020, 50(4): 1455-1464.
  4. 李壮, 刘磊, 张桐搏, 吕帅*. 基于格局检测的并行模型计数方法. 吉林大学学报(工学版), 2020, 50(4): 1443-1448.
  5. Li Guangli, Liu Lei, Zhang Tongbo, Yu Hang, Xu Yue, Lü Shuai*. Visual field movement detection model based on low-resolution images. International Journal of Embedded Systems, 2020, 12(1): 93-105.
  6. 李壮, 刘磊, 张桐搏, 吕帅*. 基于重启策略的学习子句优化方法. 东北大学学报(自然科学版), 2020, 41(1): 44-48.
  7. 吕帅, 张桐搏, 王强, 刘磊*. 两种新的基于扩展规则#SAT问题求解算法. 东北大学学报(自然科学版), 2019, 40(5): 630-634, 646.
  8. Liu Hao, Ni Ziao, Zhou Wenyang, Zhang Tongbo, Lü Shuai*. Approximate model counting via extension rule and clause reduction. In: Proceedings of the 3rd International Conference on Intelligent Information Processing (ICIIP 2018), Guilin, China, May 19-20, 2018, ACM ICPS 140156, 40-45.
  9. 杨洋, 刘磊, 李广力, 张桐搏, 吕帅*. 一种新的基于局部搜索的扩展规则推理方法. 计算机学报, 2018, 41(4): 825-839. (CCF推荐中文A类期刊)
  10. 刘磊, 李广力, 徐玥, 张桐搏, 吕帅*. 基于移动平台的异构并行字符串匹配算法. 吉林大学学报(理学版), 2017, 55(1): 82-88.
  11. 杨洋, 李广力, 张桐搏, 刘磊, 吕帅*. 命题模态逻辑S5系统中并行推理方法. 计算机科学与探索, 2016, 10(12): 1783-1792. (CCF推荐中文B类期刊)
  12. Zhang Tongbo, Li Guangli, Wu Yu, Lü Shuai*. Bitmap image vectorization algorithm based on edge detection. In: Proceedings of the 2nd International Conference on Mechanical Engineering and Control System (MECS2016), Wuhan, China, April 15-17, 2016, 275-281.
  13. Zhang Tongbo, Li Guangli, Xu Yue, Yang Yang, Lü Shuai*. Prediction of transportation network based on PageRank algorithm. In: Proceedings of the 5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016), Qingdao, China, March 26-27, 2016, AER 80, 88-94.
  14. Zhang Tongbo, Li Guangli, Yang Yang, Xu Yue, Lü Shuai*. Fragmented files restoration algorithm based on character characteristic. Journal of Computational Information Systems, 2015, 11(22): 8405-8412.
  15. Zhang Tongbo, Xu Yue, Li Guangli, Weng Jie, Lü Shuai*. HCCA: A cryptogram analysis algorithm based on hill climbing. In: Proceedings of the 5th International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015), Shenyang, China, July 29-31, 2015, AISR 117, 336-340.

【学位论文】

  1. 张桐搏. 基于异或约束约简的近似#SAT求解算法研究[硕士学位论文]. 长春: 吉林大学, 2020.

【荣誉奖励】

徐玥，女，1994年08月生，吉林省长春市人。

【学术论文】在国内外期刊和会议上发表学术论文8篇。

  1. Lü Shuai, Zhang Tongbo, Xu Yue, Zhou Wenbo, Lai Yong*. Combining bounded solving and controllable randomization for approximate model counting. Journal of Experimental & Theoretical Artificial Intelligence, 2024, 36(7): 1075-1088. (中科院4区期刊, CCF推荐C类期刊, SCI, IF: 1.7)
  2. 吕帅, 徐玥, 张桐搏, 李广力, 池策. 云环境下网络感知的虚拟机分配问题的求解方法. 吉林大学学报(工学版), 2020, 50(4): 1455-1464.
  3. Li Guangli, Liu Lei, Zhang Tongbo, Yu Hang, Xu Yue, Lü Shuai*. Visual field movement detection model based on low-resolution images. International Journal of Embedded Systems, 2020, 12(1): 93-105.
  4. Niu Dangdang, Liu Lei, Lü Shuai*, Xu Yue. Complementary knowledge compilation using the hyper extension rule. Chinese Journal of Electronics, 2019, 28(2): 259-265. (中科院4区期刊, SCI, IF: 0.941)
  5. 刘磊, 李广力, 徐玥, 张桐搏, 吕帅*. 基于移动平台的异构并行字符串匹配算法. 吉林大学学报(理学版), 2017, 55(1): 82-88.
  6. Zhang Tongbo, Li Guangli, Xu Yue, Yang Yang, Lü Shuai*. Prediction of transportation network based on PageRank algorithm. In: Proceedings of the 5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016), Qingdao, China, March 26-27, 2016, AER 80, 88-94.
  7. Zhang Tongbo, Li Guangli, Yang Yang, Xu Yue, Lü Shuai*. Fragmented files restoration algorithm based on character characteristic. Journal of Computational Information Systems, 2015, 11(22): 8405-8412.
  8. Zhang Tongbo, Xu Yue, Li Guangli, Weng Jie, Lü Shuai*. HCCA: A cryptogram analysis algorithm based on hill climbing. In: Proceedings of the 5th International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015), Shenyang, China, July 29-31, 2015, AISR 117, 336-340.

【学位论文】

  1. 徐玥. 云环境下网络感知的虚拟机分配方法研究[硕士学位论文]. 长春: 吉林大学, 2020.

【荣誉奖励】

贺甫霖，男，1993年05月生，吉林省吉林市人。

【学术论文】在国内外期刊和会议上发表学术论文1篇。

  1. 贺甫霖, 刘磊, 吕帅*, 牛当当, 王强. 基于格局检测的模型计数方法. 软件学报, 2020, 31(2): 395-405. (CCF推荐中文A类期刊)

【学位论文】

  1. 贺甫霖. 基于局部搜索的模型计数方法研究[硕士学位论文]. 长春: 吉林大学, 2019.

【荣誉奖励】

邹璐琨，男，1994年01月生，河南省三门峡市人。

【学位论文】

  1. 邹璐琨. 基于信任模型的云服务评价与推荐方法研究[硕士学位论文]. 长春: 吉林大学, 2019.

王强，男，1994年07月生，山西省霍州市人。

【学术论文】在国内外期刊和会议上发表学术论文5篇。

  1. 贺甫霖, 刘磊, 吕帅*, 牛当当, 王强. 基于格局检测的模型计数方法. 软件学报, 2020, 31(2): 395-405. (CCF推荐中文A类期刊)
  2. 吕帅, 张桐搏, 王强, 刘磊*. 两种新的基于扩展规则#SAT问题求解算法. 东北大学学报(自然科学版), 2019, 40(5): 630-634, 646.
  3. 王强, 刘磊, 吕帅*. 基于扩展规则的启发式#SAT求解算法. 软件学报, 2018, 29(11): 3517-3527. (CCF推荐中文A类期刊)
  4. 刘磊, 王强, 吕帅*. 模糊命题模态逻辑的Tableau方法. 哈尔滨工程大学学报, 2017, 38(6): 914-920.
  5. Li Guangli, Wang Guancheng, Wang Qiang, Fei Fan, Lü Shuai, Guo Degui*. ANN*: A heuristic search algorithm based on artificial neural networks. In: Proceedings of the International Conference on Intelligent Information Processing (ICIIP 2016), Wuhan, China, December 23-25, 2016, ACM ICPS 126594, 51.

【学位论文】

  1. 王强. 基于扩展规则的#SAT求解算法研究[硕士学位论文]. 长春: 吉林大学, 2018.

【社会实践】

【荣誉奖励】

李广力，男，1992年03月生，吉林省长春市人。

【学术论文】在国内外期刊和会议上发表学术论文12篇。

  1. 吕帅, 徐玥, 张桐搏, 李广力, 池策. 云环境下网络感知的虚拟机分配问题的求解方法. 吉林大学学报(工学版), 2020, 50(4): 1455-1464.
  2. Li Guangli, Liu Lei, Zhang Tongbo, Yu Hang, Xu Yue, Lü Shuai*. Visual field movement detection model based on low-resolution images. International Journal of Embedded Systems, 2020, 12(1): 93-105.
  3. Yu Boyang, Shao Jiejing, Cheng Quan, Yu Hang, Li Guangli, Lü Shuai*. Multi-source news recommender system based on convolutional neural networks. In: Proceedings of the 3rd International Conference on Intelligent Information Processing (ICIIP 2018), Guilin, China, May 19-20, 2018, ACM ICPS 140156, 17-23.
  4. 杨洋, 刘磊, 李广力, 张桐搏, 吕帅*. 一种新的基于局部搜索的扩展规则推理方法. 计算机学报, 2018, 41(4): 825-839. (CCF推荐中文A类期刊)
  5. Yu Hang, Cheng Quan, Shao Jiejing, Yu Boyang, Li Guangli, Lü Shuai*. WPNet: Wallpaper recommendation with deep convolutional neural networks. In: Proceedings of the 5th International Conference on Geo-Spatial Knowledge and Intelligence (GSKI 2017), Chiang Mai, Thailand, December 8-10, 2017, CCIS 849, 531-543.
  6. Tan Mingzhe, Chi Ce, Zhang Jiahao, Zhao Shichang, Li Guangli, Lü Shuai*. An energy-aware virtual machine placement algorithm in cloud data center. In: Proceedings of the 2nd International Conference on Intelligent Information Processing (IIP 2017), Bangkok, Thailand, July 17-18, 2017, ACM ICPS 131840, a1.
  7. Liu Lei, Yang Yang, Li Guangli, Wang Qi, Lü Shuai*. Redundancy checking algorithms based on parallel novel extension rule. Journal of Experimental & Theoretical Artificial Intelligence, 2017, 29(3): 629-647. (中科院4区期刊, CCF推荐C类期刊, SCI, IF: 1.011)
  8. 刘磊, 李广力, 徐玥, 张桐搏, 吕帅*. 基于移动平台的异构并行字符串匹配算法. 吉林大学学报(理学版), 2017, 55(1): 82-88.
  9. Li Guangli, Wang Guancheng, Wang Qiang, Fei Fan, Lü Shuai, Guo Degui*. ANN*: A heuristic search algorithm based on artificial neural networks. In: Proceedings of the International Conference on Intelligent Information Processing (ICIIP 2016), Wuhan, China, December 23-25, 2016, ACM ICPS 126594, 51.
  10. 杨洋, 李广力, 张桐搏, 刘磊, 吕帅*. 命题模态逻辑S5系统中并行推理方法. 计算机科学与探索, 2016, 10(12): 1783-1792. (CCF推荐中文B类期刊)
  11. Zhang Tongbo, Li Guangli, Yang Yang, Xu Yue, Lü Shuai*. Fragmented files restoration algorithm based on character characteristic. Journal of Computational Information Systems, 2015, 11(22): 8405-8412.
  12. Zhang Tongbo, Xu Yue, Li Guangli, Weng Jie, Lü Shuai*. HCCA: A cryptogram analysis algorithm based on hill climbing. In: Proceedings of the 5th International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015), Shenyang, China, July 29-31, 2015, AISR 117, 336-340.

【学位论文】

  1. 李广力. 面向稀疏数据的GPU程序优化技术研究[硕士学位论文]. 长春: 吉林大学, 2018.

【科研项目】

【社会实践】

【荣誉奖励】

王冠成，男，1993年07月生，江苏省连云港市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇。

  1. 郭德贵, 王冠成, 吕帅, 刘磊*. peC语言的部分求值器及在编译器测试中的应用. 软件学报, 2017, 28(5): 1221-1232. (CCF推荐中文A类期刊)
  2. Li Guangli, Wang Guancheng, Wang Qiang, Fei Fan, Lü Shuai, Guo Degui*. ANN*: A heuristic search algorithm based on artificial neural networks. In: Proceedings of the International Conference on Intelligent Information Processing (ICIIP 2016), Wuhan, China, December 23-25, 2016, ACM ICPS 126594, 51.

【学位论文】

  1. 王冠成. 基于机器学习的编译器测试优化方法研究[硕士学位论文]. 长春: 吉林大学, 2018.

【社会实践】

【荣誉奖励】

杨洋，男，1992年01月生，江苏省南京市人。

【学术论文】在国内外期刊和会议上发表学术论文5篇。

  1. 杨洋, 刘磊, 李广力, 张桐搏, 吕帅*. 一种新的基于局部搜索的扩展规则推理方法. 计算机学报, 2018, 41(4): 825-839. (CCF推荐中文A类期刊)
  2. Liu Lei, Yang Yang, Li Guangli, Wang Qi, Lü Shuai*. Redundancy checking algorithms based on parallel novel extension rule. Journal of Experimental & Theoretical Artificial Intelligence, 2017, 29(3): 629-647. (中科院4区期刊, CCF推荐C类期刊, SCI, IF: 1.011)
  3. 杨洋, 李广力, 张桐搏, 刘磊, 吕帅*. 命题模态逻辑S5系统中并行推理方法. 计算机科学与探索, 2016, 10(12): 1783-1792. (CCF推荐中文B类期刊)
  4. Zhang Tongbo, Li Guangli, Xu Yue, Yang Yang, Lü Shuai*. Prediction of transportation network based on PageRank algorithm. In: Proceedings of the 5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016), Qingdao, China, March 26-27, 2016, AER 80, 88-94.
  5. Zhang Tongbo, Li Guangli, Yang Yang, Xu Yue, Lü Shuai*. Fragmented files restoration algorithm based on character characteristic. Journal of Computational Information Systems, 2015, 11(22): 8405-8412.

【学位论文】

  1. 杨洋. 基于扩展规则的推理方法研究[硕士学位论文]. 长春: 吉林大学, 2017.

【社会实践】

【荣誉奖励】

刘丰，男，1992年07月生，湖北省天门市人。

【学术论文】在国内外期刊和会议上发表学术论文2篇。

  1. Ren Junqi, Liu Lei, Liu Feng, Zhou Wenbo, Lü Shuai*. An executable specification of Map-Join-Reduce using Haskell. IEEE Access, 2019, 7: 10892-10904. (中科院2区期刊, SCI, IF: 3.745)
  2. 刘磊, 刘丰, 任俊绮, 吕帅*. 基于细胞膜演算的Dryad形式化描述. 哈尔滨工程大学学报, 2016, 37(11): 1539-1545.

【学位论文】

  1. 刘丰. 基于细胞膜演算的Dryad形式化描述[硕士学位论文]. 长春: 吉林大学, 2017.

【社会实践】

【荣誉奖励】

张鑫，女，1988年10月生，北京市人。

【学术论文】在国内外期刊和会议上发表学术论文3篇。

  1. Niu Dangdang, Liu Lei, Zhang Xin, Lü Shuai*, Li Zhuang. Security analysis model, system architecture and relation model of enterprise cloud services. International Journal of Automation and Computing, 2016, 13(6): 574-584.
  2. 刘磊, 李壮, 张鑫, 吕帅*. 中文网络文本的语义信息处理研究综述. 计算机应用研究, 2015, 32(1): 6-10, 16. (CCF推荐中文C类期刊)
  3. Liu Lei, Zhang Xin, Wang Mengmeng, Lü Shuai*. An improved propositional tableau method based on ordering and indexing strategies. International Journal of Advancements in Computing Technology, 2013, 5(8): 971-978.

【学位论文】

  1. 张鑫. SaaS企业云服务安全问题研究[硕士学位论文]. 长春: 吉林大学, 2014.

【荣誉奖励】

刘冬清，男，1989年01月生，山东省威海市人。

【学术论文】在国内外期刊和会议上发表学术论文1篇。

  1. Liu Lei, Liu Dongqing, Lü Shuai*, Zhang Peng. An abstract description method of Map-Reduce-Merge using Haskell. Mathematical Problems in Engineering, 2013, 2013: 147593. (中科院3区期刊, SCI, IF: 1.082)

【学位论文】

  1. 刘冬清. 云计算编程模型的形式化描述方法研究[硕士学位论文]. 长春: 吉林大学, 2014.

【荣誉奖励】