Events and findings of the Purdue University Calumet computer information technology & graphics (CIT&G) department teaching partnership with the College of Software Engineering of Southeast University in Nanjing China. - Charles Winer; Hanqian Wu (SIGITE Conference, 2009)

Teaching a fundamental programming course via a Chinese/American faculty exchange agreement. - Hanqian Wu; Charles Winer (SIGITE Conference, 2010)

Question-Answering Aspect Classification with Multi-attention Representation. - Hanqian Wu; Mumu Liu; Jingjing Wang; Jue Xie; Shoushan Li (CCIR, 2018)

Question-Answering Aspect Classification with Hierarchical Attention Network. - Hanqian Wu; Mumu Liu; Jingjing Wang; Jue Xie; Chenlin Shen (CCL, 2018)

Cross-media User Profiling with Joint Textual and Social User Embedding. - Jingjing Wang; Shoushan Li; Mingqi Jiang; Hanqian Wu; Guodong Zhou (COLING, 2018)

Multi-task Learning Based on Question-Answering Style Reviews for Aspect Category Classification and Aspect Term Extraction. - Hanqian Wu; Zhike Wang; Mumu Liu; Jingyu Huang (CBD, 2019)

Multi-label Aspect Classification on Question-Answering Text with Contextualized Attention-Based Neural Network. - Hanqian Wu; Shangbin Zhang; Jingjing Wang; Mumu Liu; Shoushan Li (CCL, 2019)

Multimodal Aspect Extraction with Region-Aware Alignment Network. - Hanqian Wu; Siliang Cheng; Jingjing Wang; Shoushan Li; Lian Chi (NLPCC (1), 2020)

Multi-task learning based on question-answering style reviews for aspect category classification and aspect term extraction on GPU clusters. - Hanqian Wu; Siliang Cheng; Zhike Wang; Shangbin Zhang; Feng Yuan (Clust. Comput., 2020)

Big Data Management and Analytics in Scientific Programming: A Deep Learning-Based Method for Aspect Category Classification of Question-Answering-Style Reviews. - Hanqian Wu; Mumu Liu; Shangbin Zhang; Zhike Wang; Siliang Cheng (Sci. Program., 2020)

Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance. - Dong Zhang; Suzhong Wei; Shoushan Li; Hanqian Wu; Qiaoming Zhu; Guodong Zhou (AAAI, 2021)

More than Text: Multi-modal Chinese Word Segmentation. - Dong Zhang; Zheng Hu; Shoushan Li; Hanqian Wu; Qiaoming Zhu; Guodong Zhou (ACL/IJCNLP (2), 2021)

Propaganda Techniques Detection in Low-Resource Memes with Multi-Modal Prompt Tuning. - Hanqian Wu; Xinwei Li; Lu Li; Qipeng Wang (ICME, 2022)

A Constructive Method Based on Dynamic Solution Space for Travelling Salesman Problem. - Xiaoxin Bai; Lu Li; Hanqian Wu (CBD, 2023)

TPMARL-MSS Thought-Perception Multi-Agent Reinforcement Learning Meeting Scheduling System. - Jinsong Zhang; Xiaoxuan Mao; Lu Li; Hanqian Wu (HPCC/DSS/SmartCity/DependSys, 2023)

Smooth Joint Motion Planning for Robot Polishing by Redundancy Optimization. - Hanqian Wu; Zhoulong Li; Rui Wang; Zhonghe Luo; Limin Zhu (ICIRA (6), 2023)

DLFaaS:Serverless Platform for Data-Intensive Tasks Based on Interval Access Patterns. - Yang Cao; Wenbin Song; Hanqian Wu; Shengchao Yuan (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training. - Shijian Wang; Linxin Song; Jieyu Zhang; Ryotaro Shimizu; Ao Luo; Li Yao; Cunjian Chen; Julian J. McAuley; Hanqian Wu (CoRR, 2024)

Local Topological Information as a Powerful Enhancer for Generalizable Neural Method in Travelling Salesman Problem. - Xiaoxin Bai; JunYang Yang; Shengchao Yuan; Yinghao Zhang; Hanqian Wu (AAMAS, 2025)

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

Dora: A Low-Latency Partial Reconfiguration Controller for Reconfigurable System. - Guosheng Zhang; Lisong Shao; Hanqian Wu; Xiaotian Gu; Xinyi Zhang (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. - Shijian Wang; Linxin Song; Ryotaro Shimizu; Masayuki Goto; Hanqian Wu (CoRR, 2025)