Luchen Liu - RankMe

45 papers A* 2A 2B 1Misc 7Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AlphaPROBE: Alpha Mining via Principled Retrieval and On-graph biased evolution. CoRR Taian Guo, Haiyang Shen, Junyu Luo, Binqi Chen, Hongjun Ding, Jinsheng Huang, Luchen Liu, Yun Ma, Ming Zhang
2026	J	`jnl`	MEME: Modeling the Evolutionary Modes of Financial Markets. CoRR Taian Guo, Haiyang Shen, Junyu Luo, Zhongshi Xing, Hanchun Lian, Jinsheng Huang, Binqi Chen, Luchen Liu, Yun Ma, Ming Zhang
2025	J	`jnl`	AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining. CoRR Hongjun Ding, Binqi Chen, Jinsheng Huang, Taian Guo, Zhengyang Mao, Guoyi Shao, Lutong Zou, Luchen Liu, Ming Zhang
2025	J	`jnl`	MASS: Multi-Agent Simulation Scaling for Portfolio Construction. CoRR Taian Guo, Haiyang Shen, Jinsheng Huang, Zhengyang Mao, Junyu Luo, Zhuoru Chen, Xuhui Liu, Bingyu Xia, Luchen Liu, Yun Ma, Ming Zhang
2025	—	`conf`	MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. NAACL (Long Papers) Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
2024	J	`jnl`	Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. ACM Trans. Knowl. Discov. Data Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2024	J	`jnl`	HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. CoRR Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
2024	J	`jnl`	MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
2024	J	`jnl`	Poisoning medical knowledge using large language models. Nat. Mac. Intell. Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang
2024	J	`jnl`	Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2024	J	`jnl`	Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Trans. Knowl. Discov. Data Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
2024	J	`jnl`	Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian
2024	J	`jnl`	Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
2023	J	`jnl`	Deep spatial-temporal structure learning for rumor detection on Twitter. Neural Comput. Appl. Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang
2023	J	`jnl`	Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2023	J	`jnl`	Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023	J	`jnl`	Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023	J	`jnl`	Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
2022	—	`conf`	Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. ICONIP (3) Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie
2022	Misc	`conf`	Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang
2022	A	`conf`	Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media. ICME Lei Zhang, Peng Zhang, Xi Zhu, Luchen Liu, Hongbo Xu
2022	Misc	`conf`	Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. ICASSP Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian
2021	A	`conf`	Bipartite Graph Embedding via Mutual Information Maximization. WSDM Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
2021	B	`conf`	DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging. IJCNN Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng
2021	J	`jnl`	Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong
2021	A*	`conf`	HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. IJCAI Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang
2021	Misc	`conf`	Improving Cross-Domain Slot Filling with Common Syntactic Structure. ICASSP Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang
2021	Misc	`conf`	Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection. ICASSP Lei Zhang, Peng Zhang, Luchen Liu, Jianlong Tan
2020	J	`jnl`	Bipartite Graph Embedding via Mutual Information Maximization. CoRR Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
2020	Misc	`conf`	Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. AMIA Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
2020	J	`jnl`	Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. CoRR Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
2019	Misc	`conf`	Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification. ICASSP Luchen Liu, Sheng Guo, Weilin Huang, Matthew R. Scott
2019	—	`conf`	Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. CinC Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
2019	J	`jnl`	Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. CoRR Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
2019	—	`conf`	Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation. CISP-BMEI Chengwei Li, Jie Sun, Luchen Liu, Peng Zhang, Wenli Liu, Pu Zhang
2019	Misc	`conf`	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019	J	`jnl`	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019	—	`conf`	Predictive Multi-level Patient Representations from Electronic Health Records. BIBM Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang
2019	J	`jnl`	Predictive Multi-level Patient Representations from Electronic Health Records. CoRR Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang
2018	—	`conf`	Index and Retrieve Multimedia Data: Cross-Modal Hashing by Learning Subspace Relation. DASFAA (2) Luchen Liu, Yang Yang, Mengqiu Hu, Xing Xu, Fumin Shen, Ning Xie, Zi Huang
2018	A*	`conf`	Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
2018	J	`jnl`	Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
2017	J	`jnl`	Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang
2017	—	`conf`	Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang
2017	—	`conf`	Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM Feng Qian, Chengyue Gong, Luchen Liu, Lei Sha, Ming Zhang