RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling. - Huaqing Wang; Lijie Wen 001; Li Lin 011; Jianmin Wang 001 (ICSOC, 2018)

MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. - Li Lin 011; Lijie Wen 001; Jianmin Wang 001 (SDM, 2019)

Solving Sequential Text Classification as Board-Game Playing. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Zhenpeng Chen; Li Lin 011; Yanan Zheng; Tat-Seng Chua (AAAI, 2020)

An Approach for Process Model Extraction by Multi-grained Text Classification. - Chen Qian 003; Lijie Wen 001; Akhil Kumar 001; Leilei Lin; Li Lin 011; Zan Zong; Shu'ang Li 015; Jianmin Wang 001 (CAiSE, 2020)

Scaleplus: Towards Fast Scaling of Distributed Streaming Dataflows. - Zan Zong; Lijie Wen 001; Xiao Liu 004; Li Lin 011; Chen Qian 003; Leilei Lin (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Li Lin 011; Tat-Seng Chua (SIGIR, 2020)

MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. - Li Lin 011; Zan Zong; Lijie Wen 001; Chen Qian 003; Shuang Li 015; Jianmin Wang 001 (DASFAA (1), 2021)

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. - Xuming Hu; Chenwei Zhang; Yawen Yang; Xiaohe Li; Li Lin 011; Lijie Wen 001; Philip S. Yu (EMNLP (1), 2021)

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. - Aiwei Liu; Honghai Yu; Xuming Hu; Shu'ang Li 015; Li Lin 011; Fukun Ma; Yawen Yang; Lijie Wen 001 (EMNLP, 2022)

Pair-Level Supervised Contrastive Learning for Natural Language Inference. - Shuang Li 015; Xuming Hu; Li Lin 011; Lijie Wen 001 (ICASSP, 2022)

A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models. - Lijie Wen 001; Zan Zong; Li Lin 011; Leilei Lin (IPDPS, 2022)

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. - Aiwei Liu; Xuming Hu; Li Lin 011; Lijie Wen 001 (KDD, 2022)

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. - Li Lin 011; Yixin Cao 002; Lifu Huang; Shu'ang Li 015; Xuming Hu; Lijie Wen 001; Jianmin Wang 001 (SIGIR, 2022)

Inferring Commonsense Explanations as Prompts for Future Event Generation. - Li Lin 011; Yixin Cao 002; Lifu Huang; Shu'ang Li 015; Xuming Hu; Lijie Wen 001; Jianmin Wang 001 (CoRR, 2022)

LCDD: Detecting Business Process Drifts Based on Local Completeness. - Leilei Lin; Lijie Wen 001; Li Lin 011; Jisheng Pei; Hedong Yang (IEEE Trans. Serv. Comput., 2022)

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. - Zan Zong; Lijie Wen 001; Xuming Hu; Rui Han 001; Chen Qian 003; Li Lin 011 (IEEE Trans. Serv. Comput., 2022)

A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics. - Kaiwen Xia; Li Lin 011; Shuai Wang 008; Haotian Wang 008; Desheng Zhang; Tian He 001 (KDD, 2023)

Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models. - Xinwei Li; Li Lin 011; Shuai Wang 008; Chen Qian 003 (CoRR, 2023)

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. - Shu'ang Li 015; Xuming Hu; Li Lin 011; Aiwei Liu; Lijie Wen 001; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. - Zan Zong; Li Lin 011; Leilei Lin; Lijie Wen 001; Yu Sun 027 (IEEE Trans. Parallel Distributed Syst., 2023)

CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning. - Shuai Wang 008; Tongtong Kong; Baoshen Guo; Li Lin 011; Haotian Wang 008 (CIKM, 2024)

Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion. - Li Lin 011; Xinyao Chen; Kaiwen Xia; Shuai Wang 008; Desheng Zhang; Tian He 001 (CIKM, 2024)

DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion. - Li Lin 011; Xin Xu; Hai Wang 019; Tian He 001; Desheng Zhang; Shuai Wang 008 (CIKM, 2024)

Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting. - Li Lin 011; Kaiwen Xia; Anqi Zheng; Shijie Hu; Shuai Wang 008 (CIKM, 2024)

Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion. - Hai Wang 019; Shuai Wang 008; Li Lin 011; Yu Yang 010; Shuai Wang 021; Hongkai Wen 001 (CIKM, 2024)

MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction. - Li Lin 011; Zhiqiang Lu; Shuai Wang 008; Yunhuai Liu; Zhiqing Hong; Haotian Wang 008; Shuai Wang 008 (KDD, 2024)

An Bi-Directional Sequence Inference Framework for Multi-Agent Reinforcement Learning. - Wujun Xu; Kaiwen Xia; Shuai Wang 008; Xiaolei Zhou 001; Tian He 001; Li Lin 011 (MSN, 2024)

Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models. - Xinwei Li; Li Lin 011; Shuai Wang 008; Chen Qian 003 (SIGIR, 2024)

A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform. - Zhiyuan Zhou; Li Lin 011; Hai Wang 019; Xiaolei Zhou 001; Gong Wei; Shuai Wang 008 (WWW, 2024)

Information Cascade Prediction under Public Emergencies: A Survey. - Qi Zhang; Guang Wang 001; Li Lin 011; Kaiwen Xia; Shuai Wang 008 (CoRR, 2024)

ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction. - Kaiwen Xia; Li Lin 011; Shuai Wang; Qi Zhang; Shuai Wang; Tian He 001 (KDD (1), 2025)

Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal Reasoning. - Xinwei Li; Li Lin 011; Shuai Wang 032; Hanqian Wu (SIGIR, 2025)

HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer. - Shuai Wang 008; Hai Wang 019; Li Lin 011; Xiaohui Zhao 006; Tian He 001; Dian Shen; Wei Xi (IEEE Trans. Knowl. Data Eng., 2025)