| 2026 | PAKDD | Counteracting Popularity Bias Amplification in Bundle Recommendations with Latent Factor Constraints. | Meng Sun, Lin Li, Ming Li, Dong Zhang, Amran Bhuiyan, Jimmy Xiangji Huang |
| 2026 | WWW | Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search. | Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin |
| 2026 | SIGIR | A Reproducibility Study of Bundle Editing and Bundle Recommendation. | Yiran An, Lin Li, Ming Li, Wenxin Ye, Qing Xie, Jimmy Xiangji Huang |
| 2025 | SIGIR | AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph Reasoning. | Zhiwen Xie, Zhuo Zhao, Jinjin Ma, Guangyou Zhou, Jimmy Xiangji Huang |
| 2024 | SIGIR | MealRec | Ming Li, Lin Li, Xiaohui Tao, Jimmy Xiangji Huang |
| 2024 | SIGIR | MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension. | Zhuo Zhao, Zhiwen Xie, Guangyou Zhou, Jimmy Xiangji Huang |
| 2023 | ACL | A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets. | Md. Tahmid Rahman Laskar, M. Saiful Bari, Mizanur Rahman, Md Amran Hossen Bhuiyan, Shafiq Joty, Jimmy Xiangji Huang |
| 2023 | ACL | Learning Query Adaptive Anchor Representation for Inductive Relation Prediction. | Zhiwen Xie, Yi Zhang, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang |
| 2023 | EMNLP | Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization. | Md. Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Xiangji Huang |
| 2023 | SIGIR | Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation. | Lei Liu, Jimmy Xiangji Huang |
| 2021 | AAAI | A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems. | Xing Tan, Jimmy Xiangji Huang |
| 2021 | AAAI | Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. | Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang |
| 2020 | ACL | ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding. | Zhiwen Xie, Guangyou Zhou, Jin Liu, Jimmy Xiangji Huang |
| 2020 | COLING | WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. | Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang |
| 2020 | COLING | A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment. | Zhiwen Xie, Runjie Zhu, Kunsong Zhao, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang |
| 2020 | DASFAA | Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. | Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He |
| 2020 | LREC | Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. | Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Enamul Hoque |
| 2020 | SIGIR | Neural Interactive Collaborative Filtering. | Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin |
| 2019 | GECCO | A classification-based selection for evolutionary optimization. | Jinyuan Zhang, Jimmy Xiangji Huang, Qinmin Vivian Hu |
| 2019 | IJCAI | On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows. | Xing Tan, Jimmy Xiangji Huang |
| 2018 | AAAI | CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. | Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He |
| 2018 | DocEng | OurDirection: An Interactive Dialogue Framework For Chatting with Government Officials. | Sadra Abrishamkar, Jimmy Xiangji Huang |
| 2018 | ICTIR | Levenshtein in Blocks World: String Matching via AI Planning. | Xing Tan, Jimmy Xiangji Huang |
| 2018 | ICTIR | StatBM25: An Aggregative and Statistical Approach for Document Ranking. | Xing Tan, Fanghong Jiang, Jimmy Xiangji Huang |
| 2018 | SIGIR | CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. | Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He |
| 2018 | SIGIR | A Best Match KNN-based Approach for Large-scale Product Categorization. | Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang |
| 2018 | SIGIR | A New Term Frequency Normalization Model for Probabilistic Information Retrieval. | Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He |
| 2017 | ECIR | Learning to Re-rank Medical Images Using a Bayesian Network-Based Thesaurus. | Hajer Ayadi, Mouna Torjmen-Khemakhem, Jimmy Xiangji Huang, Mariam Daoud, Maher Ben Jemaa |
| 2017 | ICTIR | On the Effectiveness of Bayesian Network-based Models for Document Ranking. | Xing Tan, Fanghong Jian, Jimmy Xiangji Huang |
| 2017 | KDD | A Data Mining Framework for Valuing Large Portfolios of Variable Annuities. | Guojun Gan, Jimmy Xiangji Huang |
| 2017 | SIGIR | Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. | Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An |
| 2016 | ACL | Bi-Transferring Deep Neural Networks for Domain Adaptation. | Guangyou Zhou, Zhiwen Xie, Jimmy Xiangji Huang, Tingting He |
| 2016 | SIGIR | A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. | Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu |
| 2016 | SIGIR | Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. | Xing Tan, Jimmy Xiangji Huang, Aijun An |
| 2016 | SIGIR | Exploiting Semantic Coherence Features for Information Retrieval. | Xinhui Tu, Jimmy Xiangji Huang, Jing Luo, Tingting He |
| 2015 | SIGIR | Using Term Location Information to Enhance Probabilistic Information Retrieval. | Baiyan Liu, Xiangdong An, Jimmy Xiangji Huang |
| 2014 | SIGIR | A simple term frequency transformation model for effective pseudo relevance feedback. | Zheng Ye, Jimmy Xiangji Huang |
| 2014 | SIGIR | An enhanced context-sensitive proximity model for probabilistic information retrieval. | Jiashu Zhao, Jimmy Xiangji Huang |
| 2013 | CIKM | Correlating medical-dependent query features with image retrieval models using association rules. | Hajer Ayadi, Mouna Torjmen, Mariam Daoud, Maher Ben Jemaa, Jimmy Xiangji Huang |
| 2013 | SIGIR | Boosting novelty for biomedical information retrieval through probabilistic latent semantic analysis. | Xiangdong An, Jimmy Xiangji Huang |
| 2013 | SIGIR | Leveraging conceptual lexicon: query disambiguation using proximity information for patent retrieval. | Parvaz Mahdabi, Shima Gerani, Jimmy Xiangji Huang, Fabio Crestani |
| 2012 | SIGIR | Proximity-based rocchio's model for pseudo relevance. | Jun Miao, Jimmy Xiangji Huang, Zheng Ye |
| 2012 | SIGIR | A hybrid model for ad-hoc information retrieval. | Zheng Ye, Jimmy Xiangji Huang, Jun Miao |
| 2012 | SIGIR | Rewarding term location information to enhance probabilistic information retrieval. | Jiashu Zhao, Jimmy Xiangji Huang, Shicheng Wu |
| 2011 | SIGIR | CRTER: using cross terms to enhance probabilistic information retrieval. | Jiashu Zhao, Jimmy Xiangji Huang, Ben He |
| 2011 | SIGIR | Enhancing ad-hoc relevance weighting using probability density estimation. | Xiaofeng Zhou, Jimmy Xiangji Huang, Ben He |