In silico identification software (ISIS): a machine learning approach to tandem mass spectral identification of lipids. - Lars J. Kangas; Thomas O. Metz; Giorgis Isaac; Brian T. Schrom; Bojana Ginovska-Pangovska; Luning Wang; Li Tan; Robert R. Lewis; John H. Miller (Bioinform., 2012)

Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity. - Zengqiang Zhang; Yong Liu 002; Tianzi Jiang; Bo Zhou 020; Ningyu An; Haitao Dai; Pan Wang; Yixuan Niu; Luning Wang; Xi Zhang (NeuroImage, 2012)

Longitudinal Alteration of Amygdalar Functional Connectivity in Mild Cognitive Impairment Subjects Revealed by Resting-State fMRI. - Hongxiang Yao; Bo Zhou 020; Zengqiang Zhang; Pan Wang; Yan'e Guo; Yanchang Shang; Luning Wang; Xi Zhang; Ningyu An; Yong Liu 002 (Brain Connect., 2014)

IT capability and organizational performance: the roles of business process agility and environmental factors. - Yang Chen 006; Yi Wang 023; Saggi Nevo; Jiafei Jin; Luning Wang; Wing S. Chow (Eur. J. Inf. Syst., 2014)

Link Prediction Based on Common-Neighbors for Dynamic Social Network. - Lin Yao 001; Luning Wang; Lv Pan; Kai Yao 001 (ANT/SEIT, 2016)

A Generic and Programmable Name Resolution System in Future Internet Architectures. - Jinfan Wang; Luning Wang; Jing Ren 002; Hermine Hovhannisyan; Jianping Wang 001 (IEEE Wirel. Commun., 2017)

On the Optimal Monitor Placement for Inferring Additive Metrics of Interested Paths. - Rongwei Yang; Cuiying Feng; Luning Wang; Weiwei Wu 001; Kui Wu 001; Jianping Wang 001; Yinlong Xu (INFOCOM, 2018)

SNIFF: A Scalable Network Inference Framework for Measuring End-to-End Performance Based on Matrix Completion. - Luning Wang; Zhongzheng Tang; Qian Xu 010; Kejie Lu; Jianping Wang 001; Kui Wu 001; Xiaohua Jia (BigCom, 2019)

Bound-based Network Tomography with Additive Metrics. - Cuiying Feng; Luning Wang; Kui Wu 001; Jianping Wang 001 (INFOCOM, 2019)

Bound Inference in Network Performance Tomography With Additive Metrics. - Cuiying Feng; Luning Wang; Kui Wu 001; Jianping Wang 001 (IEEE/ACM Trans. Netw., 2020)

Controlling the Maximum Link Estimation Error in Network Performance Tomography. - Cuiying Feng; Luning Wang; Kui Wu 001; Jianping Wang 001 (IWQoS, 2021)

Counterfactual Explanations in Explainable AI: A Tutorial. - Cong Wang; Xiao-Hui Li 009; Haocheng Han; Shendi Wang; Luning Wang; Caleb Chen Cao; Lei Chen 002 (KDD, 2021)

SNIFF: A Scalable Network Inference Framework for Measuring End-to-End Performance. - Zhongzheng Tang; Luning Wang; Qian Xu 010; Kejie Lu; Jianping Wang 001; Kui Wu 001; Xiaohua Jia (IEEE Trans. Netw. Sci. Eng., 2022)

Model Debiasing via Gradient-based Explanation on Representation. - Jindi Zhang; Luning Wang; Dan Su 003; Yongxiang Huang; Caleb Chen Cao; Lei Chen 002 (AIES, 2023)

Contrastive Domain Generalization via Logit Attribution Matching. - Han Gao; Kaican Li; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (CoRR, 2023)

A Causal Framework to Unify Common Domain Generalization Approaches. - Nevin L. Zhang; Kaican Li; Han Gao; Weiyan Xie; Zhi Lin; Zhenguo Li; Luning Wang; Yongxiang Huang (CoRR, 2023)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. - Luning Wang; Shiyao Li; Xuefei Ning; Zhihang Yuan; Shengen Yan; Guohao Dai; Yu Wang 002 (ENLSP, 2024)

Evaluating Quantized Large Language Models. - Shiyao Li; Xuefei Ning; Luning Wang; Tengxuan Liu; Xiangsheng Shi; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICML, 2024)

ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification. - Zhifeng Wu; Xiaohui Li; Luning Wang; Shendi Wang; Yufei Cui; Jiahai Wang (IJCNN, 2024)

Consistency Regularization for Domain Generalization with Logit Attribution Matching. - Han Gao; Kaican Li; Weiyan Xie; Zhi Lin; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (UAI, 2024)

Interpretation-Empowered Neural Cleanse for Backdoor Attacks. - Liang-Bo Ning 001; Zeyu Dai 001; Jingran Su; Chao Pan; Luning Wang; Wenqi Fan; Qing Li 001 (WWW (Companion Volume), 2024)

A Survey on Efficient Inference for Large Language Models. - Zixuan Zhou; Xuefei Ning; Ke Hong; Tianyu Fu 004; Jiaming Xu; Shiyao Li; Yuming Lou; Luning Wang; Zhihang Yuan; Xiuhong Li; Shengen Yan; Guohao Dai; et al. (CoRR, 2024)

Joint Universal Adversarial Perturbations with Interpretations. - Liang-Bo Ning 001; Zeyu Dai 001; Wenqi Fan; Jingran Su; Chao Pan; Luning Wang; Qing Li 001 (CoRR, 2024)

Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts. - Chenwei Wu 006; Zitao Shuai; Zhengxu Tang; Luning Wang; Liyue Shen (ICLR, 2025)

MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation. - Hsin-Ling Hsu; Cong-Tinh Dao; Luning Wang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Chun-Chieh Liao; Pengfei Hu; Xiaoxue Han; Chih-Ho Hsu; Dongsheng Luo; Wen-Chih Peng; et al. (CoRR, 2025)