The impact of nonlinear filtering and confidence information on optical flow estimation in a Lucas & Kanade framework. - Michael Heindlmaier; Lang Yu; Klaus Diepold (ICIP, 2009)

A Black-Box Approach for Detecting the Failure Traces. - You Meng; Lang Yu; Zhongzhi Luan; Depei Qian; Ming Xie; Zhigao Du (ISCTCS, 2013)

Packet scheduling for real-time communication over LTE systems. - Avishek Patra; Volker Pauli; Lang Yu (Wireless Days, 2013)

System level modeling of in-band wireless backhaul for 5G mmW. - Berthold Panzner; Volker Pauli; Lang Yu; Ingo Viering (ISWCS, 2015)

VinaSC: Scalable Autodock Vina with fine-grained scheduling on heterogeneous platform. - Lang Yu; Zhongzhi Luan; Xiangzheng Sun; Zhe Wang; Hailong Yang 002 (BIBM, 2016)

MovER: Stabilize Decentralized Finance System with Practical Risk Management. - Qiushan Liu; Lang Yu; Chang Jia (BRAINS, 2020)

Assessing Phrasal Representation and Composition in Transformers. - Lang Yu; Allyson Ettinger (EMNLP (1), 2020)

5G New Radio Evaluation Against IMT-2020 Key Performance Indicators. - Manuel Fuentes; Jose Luis Carcel; Christiane Dietrich; Lang Yu; Eduardo Garro; Volker Pauli; Fotis I. Lazarakis; Ole Grøndalen; Ömer Bulakci; Jian Yu; Werner Mohr; David Gomez-Barquero (IEEE Access, 2020)

N-Step Sliding Recursion Formula of Variance and Its Implementation. - Lang Yu; Gang He 001; Ahmad Khwaja Mutahir (J. Inf. Process. Syst., 2020)

On the Interplay Between Fine-tuning and Composition in Transformers. - Lang Yu; Allyson Ettinger (ACL/IJCNLP (Findings), 2021)

A novel elastic net-based NGBMC(1, n) model with multi-objective optimization for nonlinear time series forecasting. - Lang Yu; Xin Ma 004; Wenqing Wu; Yong Wang 032; Bo Zeng 002 (Commun. Nonlinear Sci. Numer. Simul., 2021)

Research and application of novel Euler polynomial-driven grey model for short-term PM10 forecasting. - Xiwang Xiang; Xin Ma 004; Minda Ma; Wenqing Wu; Lang Yu (Grey Syst. Theory Appl., 2021)

Online-adaptive classification and regression network with sample-efficient meta learning for long-term tracking. - Lang Yu; Huanlong Zhang; Junyang Yu; Baojun Qiao (Image Vis. Comput., 2021)

"No, They Did Not": Dialogue Response Dynamics in Pre-trained Language Models. - Sanghee J. Kim; Lang Yu; Allyson Ettinger (COLING, 2022)

Counterfactual reasoning: Do language models need world knowledge for causal understanding? - Jiaxuan Li; Lang Yu; Allyson Ettinger (CoRR, 2022)

LTST: Long-term segmentation tracker with memory attention network. - Lang Yu; Baojun Qiao; Huanlong Zhang; Junyang Yu; Xin He (Image Vis. Comput., 2022)

Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. - Jiaxuan Li; Lang Yu; Allyson Ettinger (ACL (2), 2023)

Black-box Prompt Tuning for Vision-Language Model as a Service. - Lang Yu; Qin Chen 001; Jiaju Lin; Liang He 001 (IJCAI, 2023)

A fast conjugate functional gain sequential minimal optimization training algorithm for LS-SVM model. - Lang Yu; Xin Ma 004; Shengjie Li (Neural Comput. Appl., 2023)

Fast support vector machine training via three-term conjugate-like SMO algorithm. - Lang Yu; Shengjie Li; Siyi Liu (Pattern Recognit., 2023)

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. - Lang Yu; Qin Chen 001; Jie Zhou 015; Liang He 001 (AAAI, 2024)

PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. - Lang Yu; Lina Ge; Guanghui Wang 003; Jianghao Yin; Qin Chen 001; Jie Zhou 015; Liang He 001 (IEEE Internet Things J., 2024)

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. - Linhao Ye; Lang Yu; Zhikai Lei; Qin Chen 001; Jie Zhou 015; Liang He 001 (ACL (1), 2025)

Multi-MELO: Unified multimodal model editing with dynamic LoRA. - Qin Chen 001; Jianghao Yin; Lang Yu; Jie Zhou 015; Liang He 001 (Expert Syst. Appl., 2025)

Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design. - Lang Yu; Zhangyang Gao; Cheng Tan 012; Qin Chen; Jie Zhou; Liang He (CoRR, 2025)