Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective - Yue Zhou; Barbara Di Eugenio; Lu Cheng (Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025, 2025)

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability - Dong Shu; Haiyan Zhao; Jingyu Hu; Weiru Liu; Lu Cheng; Mengnan Du (CoRR, 2025)

A new banded Petrov-Galerkin spectral method - Ouyuan Qin; Lu Cheng; Kuan Xu (CoRR, 2025)

COPU: Conformal Prediction for Uncertainty Quantification in Natural Language Generation - Sean Wang; Yicheng Jiang; Yuxin Tang; Lu Cheng; Hanjie Chen (CoRR, 2025)

Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology - Longchao Da; Xiaoou Liu; Jiaxin Dai; Lu Cheng; Yaqing Wang; Hua Wei (CoRR, 2025)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models - Zihao Li; Ruixiang Tang; Lu Cheng; Shuaiqiang Wang; Dawei Yin; Mengnan Du (CoRR, 2025)

How peer feedback with regulation scripts contributes to the development of critical thinking in dialogues: strengthening cognitive and affective feedback content - Jingjing Shao; Lu Cheng; Yansu Wang; Keru Li; Yanyan Li (Interact. Learn. Environ., 2024)

Demystifying Algorithmic Fairness in an Uncertain World - Lu Cheng (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions - Man Luo; Christopher J. Warren; Lu Cheng; Haidar M. Abdul-Muhsin; Imon Banerjee (IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024, 2024)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access - Jiayuan Su; Jing Luo; Hongwei Wang; Lu Cheng (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees - Zhiyuan Wang; Jinhao Duan; Lu Cheng; Yue Zhang; Qingni Wang; Xiaoshuang Shi; Kaidi Xu; Heng Tao Shen; Xiaofeng Zhu (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

Conformalized Time Series with Semantic Features - Baiting Chen; Zhimei Ren; Lu Cheng (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing - Guangzhao Cheng; Chengbo Fu; Lu Cheng (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access - Jiayuan Su; Jing Luo; Hongwei Wang; Lu Cheng (CoRR, 2024)

Understanding the ultraspherical spectral method - Lu Cheng; Kuan Xu (CoRR, 2024)

Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions - Man Luo; Christopher J. Warren; Lu Cheng; Haidar M. Abdul-Muhsin; Imon Banerjee (CoRR, 2024)

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees - Zhiyuan Wang; Jinhao Duan; Lu Cheng; Yue Zhang; Qingni Wang; Hengtao Shen; Xiaofeng Zhu; Xiaoshuang Shi; Kaidi Xu (CoRR, 2024)

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation - Longchao Da; Tiejin Chen; Lu Cheng; Hua Wei (CoRR, 2024)

Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs - Jiancheng Dong; Lei Jiang; Wei Jin; Lu Cheng (CoRR, 2024)

Conformal Prediction: A Data Perspective - Xiaofan Zhou; Baiting Chen; Yu Gui; Lu Cheng (CoRR, 2024)

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective - Bo Ni; Yu Wang; Lu Cheng; Erik Blasch; Tyler Derr (CoRR, 2024)

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML - Prakhar Ganesh; Usman Gohar; Lu Cheng; Golnoosh Farnadi (CoRR, 2024)

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective - Yue Zhou; Barbara Di Eugenio; Lu Cheng (CoRR, 2024)

Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis - Jinfeng Wang; Lu Cheng; Lijie Feng; Kuo-Yi Lin; Luyao Zhang; Weiyu Zhao (Adv. Eng. Informatics, 2023)

Solving Time-Dependent PDEs with the Ultraspherical Spectral Method - Lu Cheng; Kuan Xu (J. Sci. Comput., 2023)

A Multi-Stream Attention-Aware Convolutional Neural Network: Monitoring of Sand and Dust Storms from Ordinary Urban Surveillance Cameras - Xing Wang; Zhengwei Yang; Huihui Feng; Jiuwei Zhao; Shuaiyi Shi; Lu Cheng (Remote. Sens., 2023)

The role of inter- and intra-organisational networks in innovation: towards requisite variety - Na Zhang; Lu Cheng; Chao Sun; Julie Callaert; Bart Van Looy (Scientometrics, 2023)

Invulnerability in innovation networks: the importance of technology cluster coupling and network centralization - Li Li; Haifen Lin; Yibo Lyu; Lu Cheng (Technol. Anal. Strateg. Manag., 2023)

Solving time-dependent PDEs with the ultraspherical spectral method - Lu Cheng; Kuan Xu (CoRR, 2023)

A Simple, interpretable method to identify surprising topic shifts in scientific fields - Lu Cheng; Jacob G. Foster; Harlin Lee (Frontiers Res. Metrics Anal., 2022)

Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science - Lu Cheng; Harlin Lee; Girish Ganesan; William L. He; Daniel Silverston; Jacob G. Foster (Proceedings of the 44th Annual Meeting of the Cognitive Science Society, CogSci 2022, Toronto, ON, Canada, July 27-30, 2022, 2022)

Two-Stage Image Dehazing with Depth Information and Cross-Scale Non-Local Attention - Lu Cheng; Li Zhao (2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, 2021)

Changes in the effect of concept map-based autonomous learning under different levels of self-regulation - Lu Cheng; Fan Chen; Jiayu Niu; Xueying Xu; Ning Ma (Proceeding of the 28th International Conference on Computers in Education, ICCE 2020, virtual, November 23-27, 2020, 2020)

Low-Dose CT Image Restoration Based on Adaptive Prior Feature Matching and Nonlocal Means - Lu Cheng; Yuan-Ke Zhang; Yun Song; Chen Li; Dao-Shun Guo (Int. J. Image Graph., 2019)

Channel Max Pooling for Image Classification - Lu Cheng; Dongliang Chang; Jiyang Xie; Rongliang Ma; Chunsheng Wu; Zhanyu Ma (Intelligence Science and Big Data Engineering. Visual Data Engineering - 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part I, 2019)

Distinguishing Property for Full Round KECCAK-f Permutation - Maolin Li; Lu Cheng (Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2017), Torino, Italy, July 10-12, 2017, 2017)

Multidimensional Zero-Correlation Linear Cryptanalysis on PRINCE - Lu Cheng; Xiaozhong Pan; Yuechuan Wei; Liqun Lv (Advances in Internetworking, Data & Web Technologies, The 5th International Conference on Emerging Internetworking, Data & Web Technologies, EIDWT-2017, Wuhan, China, June 10-11, 2017, 2017)

New Related-Key Impossible Differential Attack on MIBS-80 - Lu Cheng; Peng Xu; Yuechuan Wei (2016 International Conference on Intelligent Networking and Collaborative Systems, INCoS 2016, Ostrawva, Czech Republic, September 7-9, 2016, 2016)

IQdb: an intelligence quotient score-associated gene resource for human intelligence - Lei Kong; Lu Cheng; Liya Fan; Min Zhao; Hong Qu (Database J. Biol. Databases Curation, 2013)

Concentric layout, a new scientific data layout for matrix data-set in Hadoop file system - Jun Wang; Lu Cheng; Lizhe Wang (Int. J. Parallel Emergent Distributed Syst., 2013)

Three nonlinear parameters to assess autonomic nervous system function of type 2 diabetes mellitus patients with a postural change from supineness to standing - Lu Cheng; Li Xia; Quan Haiying (5th International Conference on BioMedical Engineering and Informatics, BMEI 2012, Chongqing, China, October 16-18, 2012, 2012)

Concentric Layout, a New Scientific Data Distribution Scheme in Hadoop File System - Lu Cheng; Pengju Shang; Saba Sehrish; Grant Mackey; Jun Wang (Fifth International Conference on Networking, Architecture, and Storage, NAS 2010, Macau, China, July 15-17, 2010, 2010)

Bilevel newsvendor models considering retailer with CVaR objective - Lu Cheng; Zhongping Wan; Guangmin Wang (Comput. Ind. Eng., 2009)

An Energy Efficient Weight-Clustering Algorithm in Wireless Sensor Networks - Lu Cheng; Depei Qian; Weiguo Wu (Japan-China Joint Workshop on Frontier of Computer Science and Technology, FCST 2008, Nagasahi, Japan, 27-28 December, 2008, 2008)