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2020 – today
- 2024
[c16]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills. ICRA 2024: 18362-18369- [i13]Zenan Li, Yuan Yao, Taolue Chen
, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. CoRR abs/2403.00323 (2024) - [i12]Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. CoRR abs/2403.00329 (2024) - [i11]Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si:
A Survey on Deep Learning for Theorem Proving. CoRR abs/2404.09939 (2024) - 2023
- [j3]Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41(4): 87:1-87:28 (2023) - [c15]Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. ICLR 2023 - [c14]Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. ICLR 2023 - [c13]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan:
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR 2023 - [c12]Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu:
Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective. ICSE 2023: 1187-1199 - [c11]Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu:
Neuro-symbolic Learning Yielding Logical Constraints. NeurIPS 2023 - [i10]Qitian Wu, Wentao Zhao, Zenan Li, David Wipf, Junchi Yan:
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. CoRR abs/2306.08385 (2023) - [i9]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills. CoRR abs/2309.13614 (2023) - [i8]Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao:
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments. CoRR abs/2309.16397 (2023) - [i7]Jie Liu, Zufeng Pang, Zhiyong Li, Guilin Wen, Zhoucheng Su, Junfeng He, Kaiyue Liu, Dezheng Jiang, Zenan Li, Shouyan Chen, Yang Tian, Yi Min Xie, Zhenpei Wang, Zhuangjian Liu:
OriWheelBot: An origami-wheeled robot. CoRR abs/2310.00033 (2023) - [i6]Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai, Zenan Li, Yuan Yao, Taolue Chen, Lijuan Yang, Zhou Xin, Xiaoxing Ma:
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey. CoRR abs/2311.12351 (2023) - 2022
- [c10]Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu:
On Collective Robustness of Bagging Against Data Poisoning. ICML 2022: 3299-3319 - [c9]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c8]Zenan Li, Qitian Wu, Fan Nie, Junchi Yan:
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs. NeurIPS 2022 - [c7]Qitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan:
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. NeurIPS 2022 - [c6]Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong:
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS 2022 - [i5]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang:
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR abs/2201.00402 (2022) - [i4]Ruoxin Chen, Zenan Li, Jie Li, Chentao Wu, Junchi Yan:
On Collective Robustness of Bagging Against Data Poisoning. CoRR abs/2205.13176 (2022) - 2021
- [j2]Yingzhuo Yang, Zenan Li, Huiyan Wang, Chang Xu, Xiaoxing Ma:
Towards effective metamorphic testing by algorithm stability for linear classification programs. J. Syst. Softw. 180: 111012 (2021) - [c5]Jun Cai, Zeting Yu, Zenan Li, Han Han, Bo Zhang, Xiaodong Yi:
A Network Topology Awareness Based Probabilistic Broadcast Protocol for Data Transmission in Mobile Ad Hoc Networks. ICCCS 2021: 910-916 - [i3]Jingwei Xu, Siyuan Zhu, Zenan Li, Chang Xu:
Joint Distribution across Representation Space for Out-of-Distribution Detection. CoRR abs/2103.12344 (2021) - 2020
- [j1]Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Taolue Chen, Xiaoxing Ma:
Predicted Robustness as QoS for Deep Neural Network Models. J. Comput. Sci. Technol. 35(5): 999-1015 (2020) - [c4]Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lu:
Operational calibration: debugging confidence errors for DNNs in the field. ESEC/SIGSOFT FSE 2020: 901-913
2010 – 2019
- 2019
- [c3]Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao:
Structural coverage criteria for neural networks could be misleading. ICSE (NIER) 2019: 89-92 - [c2]Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Xiaoxing Ma:
Fast Robustness Prediction for Deep Neural Network. Internetware 2019: 11:1-11:10 - [c1]Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lü:
Boosting operational DNN testing efficiency through conditioning. ESEC/SIGSOFT FSE 2019: 499-509 - [i2]Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lu:
Boosting Operational DNN Testing Efficiency through Conditioning. CoRR abs/1906.02533 (2019) - [i1]Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lü:
Operational Calibration: Debugging Confidence Errors for DNNs in the Field. CoRR abs/1910.02352 (2019)
Coauthor Index
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