Li Lin - RankMe

48 papers A* 11A 10B 4Misc 1Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity. KDD (1) Kaiwen Xia, Li Lin, Qi Zhang, Xinrui Zhang, Shuai Wang, Xuming Hu, Philip S. Yu
2026	A*	`conf`	ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation. AAAI Li Lin, Xinrui Zhang, Qi Zhang, Shuai Wang, Kaiwen Xia
2025	B	`conf`	A Self-Supervised Heterogeneous Graph Learning Framework for Customer Value Prediction. ICPADS Junjie Lin, Kaiwen Xia, Xinrui Zhang, Li Lin, Shuai Wang
2025	—	`conf`	A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction. KDD (2) Kaiwen Xia, Li Lin, Xinrui Zhang, Haotian Wang, Shuai Wang, Tian He
2025	—	`conf`	CoANBR: A Collaborative Aggregation Model for Next Basket Recommendation with Time-Independent Sequence Modeling. DASFAA (3) Li Lin, Kaiwen Xia, Haotian Shen, Shuai Wang
2025	J	`jnl`	HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. Shuai Wang, Hai Wang, Li Lin, Xiaohui Zhao, Tian He, Dian Shen, Wei Xi
2025	J	`jnl`	H²DGL: Adaptive Metapath-Based Dynamic Graph Learning for Supply Forecasting in Logistics System. IEEE Trans. Intell. Transp. Syst. Kaiwen Xia, Li Lin, Shuai Wang, Anqi Zheng, Zhao-Dong Xu, Desheng Zhang, Tian He
2025	B	`conf`	ITSPM: An Interpretable Time Series Prediction Model Based on Multi-Scale Feature Extraction. ICPADS Yuzhi Li, Qi Zhang, Li Lin, Shuai Wang
2025	B	`conf`	Key-Factor-Aware Customer Value Prediction on Multi-View Hypergraphs. ICPADS An Li, Li Lin, Xinrui Zhang, Kaiwen Xia, Qi Zhang, Shuai Wang
2025	—	`conf`	ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction. KDD (1) Kaiwen Xia, Li Lin, Shuai Wang, Qi Zhang, Shuai Wang, Tian He
2025	A*	`conf`	Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal Reasoning. SIGIR Xinwei Li, Li Lin, Shuai Wang, Hanqian Wu
2025	A	`conf`	To Know What User Concerns: Conceptual Knowledge Reasoning for User Satisfaction Estimation in E-Commerce Dialogue Systems. CIKM Li Lin, Yaochang Liu, Kaiwen Xia, Shuai Wang
2024	A*	`conf`	A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform. WWW Zhiyuan Zhou, Li Lin, Hai Wang, Xiaolei Zhou, Gong Wei, Shuai Wang
2024	—	`conf`	An Bi-Directional Sequence Inference Framework for Multi-Agent Reinforcement Learning. MSN Wujun Xu, Kaiwen Xia, Shuai Wang, Xiaolei Zhou, Tian He, Li Lin
2024	A	`conf`	Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion. CIKM Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang, Hongkai Wen
2024	A	`conf`	CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning. CIKM Shuai Wang, Tongtong Kong, Baoshen Guo, Li Lin, Haotian Wang
2024	A	`conf`	DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion. CIKM Li Lin, Xin Xu, Hai Wang, Tian He, Desheng Zhang, Shuai Wang
2024	A	`conf`	Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion. CIKM Li Lin, Xinyao Chen, Kaiwen Xia, Shuai Wang, Desheng Zhang, Tian He
2024	A	`conf`	Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting. CIKM Li Lin, Kaiwen Xia, Anqi Zheng, Shijie Hu, Shuai Wang
2024	J	`jnl`	Information Cascade Prediction under Public Emergencies: A Survey. CoRR Qi Zhang, Guang Wang, Li Lin, Kaiwen Xia, Shuai Wang
2024	A*	`conf`	MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction. KDD Li Lin, Zhiqiang Lu, Shuai Wang, Yunhuai Liu, Zhiqing Hong, Haotian Wang
2024	A*	`conf`	Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models. SIGIR Xinwei Li, Li Lin, Shuai Wang, Chen Qian
2023	J	`jnl`	A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	A*	`conf`	A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics. KDD Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He
2023	J	`jnl`	STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. IEEE Trans. Parallel Distributed Syst. Zan Zong, Li Lin, Leilei Lin, Lijie Wen, Yu Sun
2023	J	`jnl`	Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models. CoRR Xinwei Li, Li Lin, Shuai Wang, Chen Qian
2022	J	`jnl`	A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	A	`conf`	A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models. IPDPS Lijie Wen, Zan Zong, Li Lin, Leilei Lin
2022	A*	`conf`	Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
2022	J	`jnl`	Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
2022	J	`jnl`	Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang
2022	J	`jnl`	LCDD: Detecting Business Process Drifts Based on Local Completeness. IEEE Trans. Serv. Comput. Leilei Lin, Lijie Wen, Li Lin, Jisheng Pei, Hedong Yang
2022	J	`jnl`	MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin
2022	Misc	`conf`	Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP Shuang Li, Xuming Hu, Li Lin, Lijie Wen
2022	J	`jnl`	Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR Shuang Li, Xuming Hu, Li Lin, Lijie Wen
2022	A*	`conf`	Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
2022	J	`jnl`	Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
2022	A*	`conf`	What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang
2021	—	`conf`	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021	J	`jnl`	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021	—	`conf`	MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. DASFAA (1) Li Lin, Zan Zong, Lijie Wen, Chen Qian, Shuang Li, Jianmin Wang
2020	A	`conf`	An Approach for Process Model Extraction by Multi-grained Text Classification. CAiSE Chen Qian, Lijie Wen, Akhil Kumar, Leilei Lin, Li Lin, Zan Zong, Shu'ang Li, Jianmin Wang
2020	A*	`conf`	Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua
2020	—	`conf`	Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows. ISPA/BDCloud/SocialCom/SustainCom Zan Zong, Lijie Wen, Xiao Liu, Li Lin, Chen Qian, Leilei Lin
2020	A*	`conf`	Solving Sequential Text Classification as Board-Game Playing. AAAI Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua
2019	A	`conf`	MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. SDM Li Lin, Lijie Wen, Jianmin Wang
2018	A	`conf`	RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling. ICSOC Huaqing Wang, Lijie Wen, Li Lin, Jianmin Wang
2015	B	`conf`	Accelerating Crowdsourcing Based Indoor Localization Using CSI. ICPADS Hai-Jiang Xie, Li Lin, Zhiping Jiang, Wei Xi, Kun Zhao, Meiyong Ding, Jizhong Zhao