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2020 – today
- 2024
[j9]Lang Yu
, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He:
PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. IEEE Internet Things J. 11(22): 37187-37199 (2024)- [c12]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI 2024: 19449-19457 - 2023
- [j8]Lang Yu, Xin Ma, Shengjie Li:
A fast conjugate functional gain sequential minimal optimization training algorithm for LS-SVM model. Neural Comput. Appl. 35(8): 6095-6113 (2023) - [j7]Lang Yu, Shengjie Li, Siyi Liu:
Fast support vector machine training via three-term conjugate-like SMO algorithm. Pattern Recognit. 139: 109478 (2023) - [c11]Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. ACL (2) 2023: 804-815 - [c10]Lang Yu, Qin Chen, Jiaju Lin, Liang He:
Black-box Prompt Tuning for Vision-Language Model as a Service. IJCAI 2023: 1686-1694 - [i6]Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. CoRR abs/2305.16572 (2023) - [i5]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR abs/2312.11795 (2023) - 2022
- [j6]Lang Yu, Baojun Qiao, Huanlong Zhang, Junyang Yu, Xin He:
LTST: Long-term segmentation tracker with memory attention network. Image Vis. Comput. 119: 104374 (2022) - [c9]Sanghee J. Kim, Lang Yu, Allyson Ettinger:
"No, They Did Not": Dialogue Response Dynamics in Pre-trained Language Models. COLING 2022: 863-874 - [i4]Sanghee J. Kim, Lang Yu, Allyson Ettinger:
"No, they did not": Dialogue response dynamics in pre-trained language models. CoRR abs/2210.02526 (2022) - [i3]Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Do language models need world knowledge for causal understanding? CoRR abs/2212.03278 (2022) - 2021
- [j5]Lang Yu, Xin Ma, Wenqing Wu, Yong Wang, Bo Zeng:
A novel elastic net-based NGBMC(1, n) model with multi-objective optimization for nonlinear time series forecasting. Commun. Nonlinear Sci. Numer. Simul. 96: 105696 (2021) - [j4]Xiwang Xiang, Xin Ma, Minda Ma, Wenqing Wu, Lang Yu:
Research and application of novel Euler polynomial-driven grey model for short-term PM10 forecasting. Grey Syst. Theory Appl. 11(3): 498-517 (2021) - [j3]Lang Yu, Huanlong Zhang, Junyang Yu, Baojun Qiao:
Online-adaptive classification and regression network with sample-efficient meta learning for long-term tracking. Image Vis. Comput. 112: 104181 (2021) - [c8]Lang Yu, Allyson Ettinger:
On the Interplay Between Fine-tuning and Composition in Transformers. ACL/IJCNLP (Findings) 2021: 2279-2293 - [i2]Lang Yu, Allyson Ettinger:
On the Interplay Between Fine-tuning and Composition in Transformers. CoRR abs/2105.14668 (2021) - 2020
- [j2]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:
5G New Radio Evaluation Against IMT-2020 Key Performance Indicators. IEEE Access 8: 110880-110896 (2020) - [j1]Lang Yu, Gang He, Ahmad Khwaja Mutahir:
N-Step Sliding Recursion Formula of Variance and Its Implementation. J. Inf. Process. Syst. 16(4): 832-844 (2020) - [c7]Qiushan Liu, Lang Yu, Chang Jia:
MovER: Stabilize Decentralized Finance System with Practical Risk Management. BRAINS 2020: 55-56 - [c6]Lang Yu, Allyson Ettinger:
Assessing Phrasal Representation and Composition in Transformers. EMNLP (1) 2020: 4896-4907 - [i1]Lang Yu, Allyson Ettinger:
Assessing Phrasal Representation and Composition in Transformers. CoRR abs/2010.03763 (2020)
2010 – 2019
- 2016
- [c5]Lang Yu, Zhongzhi Luan, Xiangzheng Sun, Zhe Wang, Hailong Yang:
VinaSC: Scalable Autodock Vina with fine-grained scheduling on heterogeneous platform. BIBM 2016: 790-793 - 2015
- [c4]Berthold Panzner, Volker Pauli, Lang Yu, Ingo Viering:
System level modeling of in-band wireless backhaul for 5G mmW. ISWCS 2015: 716-720 - 2013
- [c3]You Meng, Lang Yu, Zhongzhi Luan, Depei Qian, Ming Xie, Zhigao Du:
A Black-Box Approach for Detecting the Failure Traces. ISCTCS 2013: 252-259 - [c2]Avishek Patra, Volker Pauli, Lang Yu:
Packet scheduling for real-time communication over LTE systems. Wireless Days 2013: 1-6
2000 – 2009
- 2009
- [c1]Michael Heindlmaier, Lang Yu, Klaus Diepold:
The impact of nonlinear filtering and confidence information on optical flow estimation in a Lucas & Kanade framework. ICIP 2009: 1593-1596
Coauthor Index
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