| 2026 | ACL | ChildEval: WHEN LARGE LANGUAGE MODELS MEET CHILDREN'S PERSONALITIES. | Yanyan Luo, Xue Han, Chunxu Zhao, Ruiqiao Bai, Yaxing Zhang, Qian Hu, Lijun Mei, Junlan Feng |
| 2026 | ACL | Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning. | Yitong Wang, Xue Han, Wenchun Gao, Qian Hu, Jiahui Wang, Ziqing Wang, Lijun Mei, Junlan Feng |
| 2025 | EMNLP | MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts. | Qing Wang, Xue Han, Jiahui Wang, Lehao Xing, Qian Hu, Lianlian Zhang, Chao Deng, Junlan Feng |
| 2025 | ICLR | Certifying Counterfactual Bias in LLMs. | Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh |
| 2025 | ICLR | LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently. | Xue Han, Yitong Wang, Junlan Feng, Wenchun Gao, Qian Hu, Chao Deng |
| 2024 | COLING | Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. | Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang |
| 2024 | EMNLP | FLIRT: Feedback Loop In-context Red Teaming. | Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta |
| 2024 | IGARSS | Ship Removal from High-Resolution Satellite Images: Dataset and Challenges. | Yida Pan, Lanxin Zeng, Qian Hu, Yuxuan Wang, Wen Yang |
| 2024 | NAACL | Toward Informal Language Processing: Knowledge of Slang in Large Language Models. | Zhewei Sun, Qian Hu, Rahul Gupta, Richard S. Zemel, Yang Xu |
| 2023 | ACL | Resolving Ambiguities in Text-to-Image Generative Models. | Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta |
| 2023 | EMNLP | Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue. | Xue Han, Yitong Wang, Qian Hu, Pengwei Hu, Chao Deng, Junlan Feng |
| 2023 | EMNLP | Faithful Model Evaluation for Model-Based Metrics. | Qian Hu, Palash Goyal, Rahul Gupta |
| 2023 | EMNLP | Evaluating Large Language Models on Controlled Generation Tasks. | Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma |
| 2023 | WSDM | Incorporating Fairness in Large Scale NLU Systems. | Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan |
| 2022 | ICASSP | Contrastive Knowledge Graph Attention Network for Request-Based Recipe Recommendation. | Xiyao Ma, Zheng Gao, Qian Hu, Mohamed Abdelhady |
| 2022 | IJCNN | HCL: Hybrid Contrastive Learning for Graph-based Recommendation. | Xiyao Ma, Zheng Gao, Qian Hu, Mohamed Abdelhady |
| 2022 | IJCNN | Contrastive Co-training for Diversified Recommendation. | Xiyao Ma, Qian Hu, Zheng Gao, Mohamed Abdelhady |
| 2021 | ASRU | X-SHOT: Learning to Rank Voice Applications Via Cross-Locale Shard-Based Co-Training. | Zheng Gao, Mohamed Abdelhady, Radhika Arava, Xibin Gao, Qian Hu, Wei Xiao, Thahir Mohamed |
| 2021 | Interspeech | Paraphrase Label Alignment for Voice Application Retrieval in Spoken Language Understanding. | Zheng Gao, Radhika Arava, Qian Hu, Xibin Gao, Thahir Mohamed, Wei Xiao, Mohamed Abdelhady |
| 2021 | IGARSS | Daff-Net: Dual Attention Feature Fusion Network for Aircraft Detection in Remote Sensing Images. | Min Liu, Qian Hu, Cong Wang, Tian Tian, Weitao Chen |
| 2021 | KSEM | HCapsNet: A Text Classification Model Based on Hierarchical Capsule Network. | Ying Li, Ming Ye, Qian Hu |
| 2020 | EDM | Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students. | Qian Hu, Huzefa Rangwala |
| 2020 | ICDM | Metric-Free Individual Fairness with Cooperative Contextual Bandits. | Qian Hu, Huzefa Rangwala |
| 2020 | IWCMC | Joint Extraction of Symptoms and Details in Chinese Medical Records Using the Overlapping Mechanism. | Qian Hu, Wan Dong, Ning Liu, Jing Wang, Yanan Shen, Zhichao Wu |
| 2020 | IWCMC | The Intelligent Diagnostic System for Common Diseases using the Optimized Medical Knowledge Graph. | Jing Wang, Ning Liu, Qian Hu, Zhichao Wu, Wan Dong, Yanan Shen |
| 2020 | SIGITE | Developing an Undergraduate Course Curriculum for Ethical Hacking. | Yang Wang, Margaret McCoey, Qian Hu |
| 2019 | EDM | Academic Performance Estimation with Attention-based Graph Convolutional Networks. | Qian Hu, Huzefa Rangwala |
| 2019 | FQAS | Intelligent Voice Agent and Service (iVAS) for Interactive and Multimodal Question and Answers. | James Lockett, Sanith Wijesinghe, Jasper Phillips, Ian Gross, Michael Schoenfeld, Walter T. Hiranpat, Phillip J. Marlow, Matt Coarr, Qian Hu |
| 2019 | ICCCN | Cost-Minimum Charger Placement for Wireless Power Transfer. | Xingjian Ding, Guodong Sun, Yongcai Wang, Chuanwen Luo, Deying Li, Wenping Chen, Qian Hu |
| 2019 | ICORES | Project Portfolio Risk Prediction and Analysis using the Random Walk Method. | Xingqi Zou, Qing Yang, Qian Hu, Tao Yao |
| 2019 | LAK | Reliable Deep Grade Prediction with Uncertainty Estimation. | Qian Hu, Huzefa Rangwala |
| 2019 | VTC | AP Deployment Optimization in Non-Uniform Service Areas: A Genetic Algorithm Approach. | Zicong Zhi, Jianghong Wu, Xin Meng, Mengqian Yao, Qian Hu, Zhenzhou Tang |
| 2018 | PAKDD | Course-Specific Markovian Models for Grade Prediction. | Qian Hu, Huzefa Rangwala |
| 2017 | DSAA | Enriching Course-Specific Regression Models with Content Features for Grade Prediction. | Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala |
| 2017 | VTC | Outage Performance Analysis on Multiuser Linear Network Coded Cooperation System Considering Path Loss. | WenBiao Ji, Qian Hu, Zhenzhou Tang |
| 2016 | IRI | A Formal Language for Writing Contracts. | William M. Farmer, Qian Hu |
| 2016 | WCNC | Energy-efficient multi-objective power allocation for multi-user AF cooperative networks. | Zhenzhou Tang, Qian Hu, Guanding Yu |
| 2015 | PIMRC | A tracker-based cache utilization strategy in CCN. | Hongbao Liu, Muqing Wu, Qian Hu, Li Peng, Ning Wang |
| 2014 | GLOBECOM | The exact outage probability of multiuser linear network coded cooperation system. | Zhenzhou Tang, Hongyu Wang, Qian Hu, Xiaoqiu Shi |
| 2014 | ICCCN | Virtual network embedding: An optimal decomposition approach. | Qian Hu, Yang Wang, Xiaojun Cao |
| 2014 | VTC | Best Route, Error Broadcast: A Content-Centric Forwarding Protocol for MANETs. | Hailong Han, Muqing Wu, Qian Hu, Ning Wang |
| 2014 | WCNC | Modeling content acquisition in two-dimensional content-centric MANETs. | Qian Hu, Muqing Wu, Song Guo |
| 2013 | INFOCOM | Resolve the virtual network embedding problem: A column generation approach. | Qian Hu, Yang Wang, Xiaojun Cao |
| 2013 | PIMRC | Network coding in convergecast of wireless sensor networks: Friend or foe? | Zhenzhou Tang, Hongyu Wang, Qian Hu |
| 2012 | GLOBECOM | Batch scheduling in optical networks with feedback/feed-forward fiber delay lines. | Yang Wang, Xiaojun Cao, Adrian Caciula, Qian Hu |
| 2012 | VTC | How Network Coding Benefits Converge-Cast in Wireless Sensor Networks. | Zhenzhou Tang, Hongyu Wang, Qian Hu, Long Hai |
| 2012 | WoWMoM | An energy-efficient relay selection strategy based on optimal relay location for AF cooperative transmission. | Zhenzhou Tang, Hongyu Wang, Qian Hu |
| 2009 | DASC | An Adaptive Low Latency Cross-Layer MAC Protocol for Wireless Sensor Networks. | Zhenzhou Tang, Qian Hu |