Lü Shuai, 吕帅

毕业硕士生

李松霖，男，2000年12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4篇，在审学术论文2篇。

  1. Li Songlin, Lü Shuai, Wu Hao, Chen Huangyang, Zhou Wenbo*, Li Jingyao*. Anchor-based perturbation-driven exploration for offline-to-online reinforcement learning. 2026. (Submitted)
  2. Xiao Wei, Li Songlin, An Daolong, Wu Hao, Zhang Xiaodan, Lü Shuai*. Corrected critic and adaptive constraint for offline-to-online reinforcement learning. 2026. (Submitted)
  3. Wu Hao, Li Songlin, Xiao Wei, Zhong Taihong, Lü Shuai*. Offline-to-online reinforcement learning with triple-intensity policy constraints. Information Processing and Management, 2027, 64(1): 105035. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  4. An Daolong, Shen Chun, Li Songlin, Xiao Wei, Lü Shuai*, Zhou Wenbo*. Result constraint behavior clone for offline reinforcement learning. Neural Networks, 2026, 196: 108355. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 7.2)
  5. Li Songlin, Xiao Wei, Wu Hao, Zhang Xiaodan, An Daolong, Lü Shuai*. State proficiency-based adaptive fine-tuning for offline-to-online reinforcement learning. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 20-27, 2026, 23169-23176. (CCF推荐A类会议)
  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, IF: 7.2)

【荣誉奖励】

【联系方式】

袁健会，男，1999年06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2篇。

  1. Yuan Jianhui, Lü Shuai, 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. 2026. (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. 2026. (Submitted)
  3. Tan Lei, Guo Dong, Fang Wensi, Li Guixiang, Yuan Jianhui, Zhang Xiaodan, Li Jingyao*, Lü Shuai*. Divide and correct: Alternating normalization and prototype alignment for continual test-time adaptation. In: Proceedings of the 34th ACM International Conference on Multimedia (MM 2026), Rio de Janeiro, Brazil, November 10–14, 2026. (CCF推荐A类会议)
  4. Li Zhuang, Yuan Jianhui, Li Guixiang, Wang Hao, Li Xingcan, Li Dan, Wang Xinhua*. RSI-YOLO: Object detection method for remote sensing images based on improved YOLO. Sensors, 2023, 23: 6414. (中科院2区期刊, SCI, IF: 3.4)

【荣誉奖励】

【联系方式】

肖威，男，2001年11月生，山东省菏泽市人。

【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3篇。

  1. Zhang Tao, Zhu Yungang, Chen Huangyang, Wu Hao, Xiao Wei, Lü Shuai*, Zhou Wenbo*. Efficient and stable offline-to-online reinforcement learning via heterogeneous policy transfer. 2026. (Submitted)
  2. Xiao Wei, Zhang Tao, Chen Huangyang, Li Jingyao*, Zhou Wenbo*. Q-bounded and adaptive Q-value constraints for offline-to-online reinforcement learning. 2026. (Submitted)
  3. Xiao Wei, Li Songlin, An Daolong, Wu Hao, Zhang Xiaodan, Lü Shuai*. Corrected critic and adaptive constraint for offline-to-online reinforcement learning. 2026. (Submitted)
  4. Wu Hao, Li Songlin, Xiao Wei, Zhong Taihong, Lü Shuai*. Offline-to-online reinforcement learning with triple-intensity policy constraints. Information Processing and Management, 2027, 64(1): 105035. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  5. An Daolong, Shen Chun, Li Songlin, Xiao Wei, Lü Shuai*, Zhou Wenbo*. Result constraint behavior clone for offline reinforcement learning. Neural Networks, 2026, 196: 108355. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 7.2)
  6. Li Songlin, Xiao Wei, Wu Hao, Zhang Xiaodan, An Daolong, Lü Shuai*. State proficiency-based adaptive fine-tuning for offline-to-online reinforcement learning. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 20-27, 2026, 23169-23176. (CCF推荐A类会议)

【荣誉奖励】

【联系方式】

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3篇。

  1. Zhou Ruikai, Zhong Taihong, Zhu Wenbo, Han Shuai, Lü Shuai*. Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. Information Processing and Management, 2026, 63(2): 104428. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  2. 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, IF: 7.2)
  3. 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】

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, Lü Shuai, 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. 2026. (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. 2026. (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, IF: 6.0)
  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3篇。

  1. Zhang Zeyu, Shen Chun, Ma Qiang, Kang Meng, Lü Shuai*. Prototype-driven active domain adaptation with density consideration. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 20-27, 2026, 28582-28590. (CCF推荐A类会议)
  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】

林炟君，女，2000年08月生，福建省莆田市人。

【发明专利】授权发明专利1项。

  1. 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】

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. 2026. (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3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. Information Processing and Management, 2027, 64(1): 105035. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  2. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. Information Processing and Management, 2026, 63(2): 104452. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  3. Zhou Ruikai, Zhong Taihong, Zhu Wenbo, Han Shuai, Lü Shuai*. Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. Information Processing and Management, 2026, 63(2): 104428. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  4. 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】

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. Expert Systems with Applications, 2026, 310: 131231. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, 目前IF: 9.4)
  2. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. Information Processing and Management, 2026, 63(2): 104452. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  3. 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, IF: 9.4)
  4. 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】

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5篇，在审学术论文1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. 2026. (Submitted)
  2. Wu Junhong, Liu Jie, Xiong Xi, An Daolong, Lü Shuai*. Focus on primary: Differential diverse data augmentation for generalization in visual reinforcement learning. Expert Systems with Applications, 2026, 310: 131231. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, 目前IF: 9.4)
  3. An Daolong, Shen Chun, Li Songlin, Xiao Wei, Lü Shuai*, Zhou Wenbo*. Result constraint behavior clone for offline reinforcement learning. Neural Networks, 2026, 196: 108355. (中科院2区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 7.2)
  4. Li Songlin, Xiao Wei, Wu Hao, Zhang Xiaodan, An Daolong, Lü Shuai*. State proficiency-based adaptive fine-tuning for offline-to-online reinforcement learning. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 20-27, 2026, 23169-23176. (CCF推荐A类会议)
  5. 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, IF: 7.2)
  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. 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3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. Expert Systems with Applications, 2026, 310: 131231. (中科院1区TOP期刊, CCF推荐C类期刊, SCI, 目前IF: 9.4)
  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, IF: 9.4)
  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】

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1篇，授权发明专利1项。

  1. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. Information Processing and Management, 2026, 63(2): 104452. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  2. 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.

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, IF: 7.2)

【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1篇。

  1. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. Information Processing and Management, 2026, 63(2): 104452. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)

【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.

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1篇。

  1. Zhang Zeyu, Shen Chun, Ma Qiang, Kang Meng, Lü Shuai*. Prototype-driven active domain adaptation with density consideration. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 20-27, 2026, 28582-28590. (CCF推荐A类会议)

【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】

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, IF: 9.4)
  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, IF: 6.0)
  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6篇。

  1. Zhang Zeyu, Shen Chun, Ma Qiang, Kang Meng, Lü Shuai*. Prototype-driven active domain adaptation with density consideration. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 20-27, 2026, 28582-28590. (CCF推荐A类会议)
  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, IF: 6.0)
  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, IF: 7.2)
  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】

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, IF: 7.2)
  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。

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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】

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14篇。

  1. Zhong Taihong, Han Shuai, Zhang Yushu, Long Zehong, Lü Shuai*, Wu Junhong. TATRC: Triple actor-critic structure with regularization for better performance. Information Processing and Management, 2026, 63(2): 104452. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  2. Zhou Ruikai, Zhong Taihong, Zhu Wenbo, Han Shuai, Lü Shuai*. Influence of Gaussian distribution on performance metrics in continuous reinforcement learning. Information Processing and Management, 2026, 63(2): 104428. (中科院1区TOP期刊, CCF推荐B类期刊, SCI, 目前IF: 8.1)
  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, IF: 7.2)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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】