Lanning Wei - RankMe

34 papers A* 4A 1C 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent. Neural Networks Xiaohan Zheng, Lanning Wei, Huan Zhao, Quanming Yao
2026	J	`jnl`	LLaDA2.1: Speeding Up Text Diffusion via Token Editing. CoRR Tiwei Bie, Maosong Cao, Xiang Cao, Bingsen Chen, Fuyuan Chen, Kun Chen, Lun Du, Daozhuo Feng, Haibo Feng, Mingliang Gong, Zhuocheng Gong, Yanmei Gu, Jian Guan, Kaiyuan Guan, Hongliang He, Zenan Huang, Juyong Jiang, Zhonghui Jiang, Zhenzhong Lan, Chengxi Li, Jianguo Li, Zehuan Li, Huabin Liu, Lin Liu, Guoshan Lu, Yuan Lu, Yuxin Ma, Xingyu Mou, Zhenxuan Pan, Kaida Qiu, Yuji Ren, Jianfeng Tan, Yiding Tian, Zian Wang, Lanning Wei, Tao Wu, Yipeng Xing, Wentao Ye, Liangyu Zha, Tianze Zhang, Xiaolu Zhang, Junbo Zhao, Da Zheng, Hao Zhong, Wanli Zhong, Jun Zhou, Liwang Zhu, Muzhi Zhu, Yihong Zhuang
2025	J	`jnl`	AutoMind: Adaptive Knowledgeable Agent for Automated Data Science. CoRR Yixin Ou, Yujie Luo, Jingsheng Zheng, Lanning Wei, Shuofei Qiao, Jintian Zhang, Da Zheng, Huajun Chen, Ningyu Zhang
2025	A*	`conf`	Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. IJCAI Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao
2025	J	`jnl`	Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. CoRR Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao
2025	J	`jnl`	Executable Knowledge Graphs for Replicating AI Research. CoRR Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen
2025	J	`jnl`	InnoGym: Benchmarking the Innovation Potential of AI Agents. CoRR Jintian Zhang, Kewei Xu, Jingsheng Zheng, Zhuoyun Yu, Yuqi Zhu, Yujie Luo, Lanning Wei, Shuofei Qiao, Lun Du, Da Zheng, Shumin Deng, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey. CoRR Da Zheng, Lun Du, Junwei Su, Yuchen Tian, Yuqi Zhu, Jintian Zhang, Lanning Wei, Ningyu Zhang, Huajun Chen
2025	J	`jnl`	LLaDA-MoE: A Sparse MoE Diffusion Language Model. CoRR Fengqi Zhu, Zebin You, Yipeng Xing, Zenan Huang, Lin Liu, Yihong Zhuang, Guoshan Lu, Kangyu Wang, Xudong Wang, Lanning Wei, Hongrui Guo, Jiaqi Hu, Wentao Ye, Tieyuan Chen, Chenchen Li, Chengfu Tang, Haibo Feng, Jun Hu, Jun Zhou, Xiaolu Zhang, Zhenzhong Lan, Junbo Zhao, Da Zheng, Chongxuan Li, Jianguo Li, Ji-Rong Wen
2025	J	`jnl`	LLaDA2.0: Scaling Up Diffusion Language Models to 100B. CoRR Tiwei Bie, Maosong Cao, Kun Chen, Lun Du, Mingliang Gong, Zhuochen Gong, Yanmei Gu, Jiaqi Hu, Zenan Huang, Zhenzhong Lan, Chengxi Li, Chongxuan Li, Jianguo Li, Zehuan Li, Huabin Liu, Lin Liu, Guoshan Lu, Xiaocheng Lu, Yuxin Ma, Jianfeng Tan, Lanning Wei, Ji-Rong Wen, Yipeng Xing, Xiaolu Zhang, Junbo Zhao, Da Zheng, Jun Zhou, Junlin Zhou, Zhanchao Zhou, Liwang Zhu, Yihong Zhuang
2025	—	`conf`	OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. WWW (Companion Volume) Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen
2025	J	`jnl`	Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification. CoRR Mingyang Zhou, Quanming Yao, Lun Du, Lanning Wei, Da Zheng
2025	J	`jnl`	Searching to extrapolate embedding for out-of-graph node representation learning. Neural Networks Zhenqian Shen, Shuhan Guo, Yan Wen, Lanning Wei, Wengang Zhang, Yuanhai Luo, Chongwu Wu, Quanming Yao
2025	J	`jnl`	dInfer: An Efficient Inference Framework for Diffusion Language Models. CoRR Yuxin Ma, Lun Du, Lanning Wei, Kun Chen, Qian Xu, Kangyu Wang, Guofeng Feng, Guoshan Lu, Lin Liu, Xiaojing Qi, Xinyuan Zhang, Zhen Tao, Haibo Feng, Ziyun Jiang, Ying Xu, Zenan Huang, Yihong Zhuang, Haokai Xu, Jiaqi Hu, Zhenzhong Lan, Junbo Zhao, Jianguo Li, Da Zheng
2024	A*	`conf`	Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. KDD Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
2024	J	`jnl`	Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. CoRR Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
2024	J	`jnl`	Neural Architecture Search for GNN-Based Graph Classification. ACM Trans. Inf. Syst. Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao
2024	J	`jnl`	OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. CoRR Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen
2024	J	`jnl`	Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. CoRR Lanning Wei, Jun Gao, Huan Zhao, Quanming Yao
2023	A*	`conf`	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WWW Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2023	J	`jnl`	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2023	J	`jnl`	Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2022	J	`jnl`	Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	A*	`conf`	Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. WWW Lanning Wei, Huan Zhao, Zhiqiang He
2022	J	`jnl`	Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2022	J	`jnl`	Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. CoRR Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao
2021	J	`jnl`	Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. CoRR Lanning Wei, Huan Zhao, Zhiqiang He
2021	J	`jnl`	Learn Layer-wise Connections in Graph Neural Networks. CoRR Lanning Wei, Huan Zhao, Zhiqiang He
2021	A	`conf`	Pooling Architecture Search for Graph Classification. CIKM Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
2021	J	`jnl`	Pooling Architecture Search for Graph Classification. CoRR Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
2020	—	`conf`	Simplifying Architecture Search for Graph Neural Network. CIKM (Workshops) Huan Zhao, Lanning Wei, Quanming Yao
2020	J	`jnl`	Simplifying Architecture Search for Graph Neural Network. CoRR Huan Zhao, Lanning Wei, Quanming Yao
2017	C	`conf`	Density, distance and energy based clustering algorithm for data aggregation in wireless sensor networks. ICCC Hai Lin, Rong Xie, Lanning Wei