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Huizhong Guo
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2020 – today
- 2024
- [c4]Huizhong Guo
, Dongxia Wang
Configurable Fairness for New Item Recommendation Considering Entry Time of Items. SIGIR 2024: 437-447 - 2023
- [j1]Pei Li
A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. IEEE Trans. Intell. Transp. Syst. 24(12): 14111-14120 (2023) - [c3]Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue:
FairRec: Fairness Testing for Deep Recommender Systems. ISSTA 2023: 310-321 - [c2]Huizhong Guo:
Fairness Testing for Recommender Systems. ISSTA 2023: 1546-1548 - [i4]Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue:
FairRec: Fairness Testing for Deep Recommender Systems. CoRR abs/2304.07030 (2023) - [i3]Aditya Deshmukh, Zifei Wang, Aaron Gunn, Huizhong Guo, Rini Sherony, Fred Feng, Brian Lin, Shan Bao, Feng Zhou:
A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users. CoRR abs/2305.11291 (2023) - 2022
- [c1]Jackie Ayoub, Zifei Wang
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. UI 2022: 139-149 - [i2]Pei Li, Huizhong Guo, Shan Bao
A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. CoRR abs/2207.14145 (2022) - [i1]Jackie Ayoub, Zifei Wang
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. CoRR abs/2208.00249 (2022)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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