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Hao Ding 0003
Person information
- affiliation: AWS AI Labs, USA
- affiliation (former): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Hao Ding — disambiguation page
- Hao Ding 0001 — ABB Corporate Research Center, Ladenburg, Germany (and 3 more)
- Hao Ding 0002 — Norwegian University of Science and Technology, Trondheim, Norway
- Hao Ding 0004
— Shanghai University Of Medicine and Health Sciences, China
- Hao Ding 0005
- Hao Ding 0006
- Hao Ding 0007
- Hao Ding 0008
- Hao Ding 0009
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2020 – today
- 2024
- [c12]Hao Ding
Reasoning and Planning with Large Language Models in Code Development. KDD 2024: 6480-6490 - [c11]Ziqian Lin
Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM 2024: 424-433 - [c10]Behnam Rahdari
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. WSDM 2024: 1078-1081 - 2023
- [c9]Hao Ding
Trending Now: Modeling Trend Recommendations. RecSys 2023: 294-305 - [c8]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized federated domain adaptation for item-to-item recommendation. UAI 2023: 560-570 - [i10]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized Federated Domain Adaptation for Item-to-Item Recommendation. CoRR abs/2306.03191 (2023) - [i9]Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR abs/2310.19251 (2023) - [i8]Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton:
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. CoRR abs/2312.14345 (2023) - 2022
- [c7]Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang:
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. AAAI 2022: 8539-8547 - [i7]Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang:
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. CoRR abs/2202.00805 (2022) - 2021
- [i6]Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang:
Zero-Shot Recommender Systems. CoRR abs/2105.08318 (2021) - 2020
- [c6]Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang:
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. AAAI 2020: 3219-3226 - [c5]Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding:
Temporal-Contextual Recommendation in Real-Time. KDD 2020: 2291-2299
2010 – 2019
- 2019
- [c4]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI 2019: 1988-1994 - [c3]Yunsheng Bai, Hao Ding, Song Bian
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM 2019: 384-392 - [i5]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR abs/1904.01098 (2019) - 2018
- [c2]Chun-Ta Lu, Lifang He
Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW 2018: 1593-1602 - [i4]Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
Graph Edit Distance Computation via Graph Neural Networks. CoRR abs/1808.05689 (2018) - [i3]Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang:
Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. CoRR abs/1809.04440 (2018) - [i2]Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang:
Convolutional Set Matching for Graph Similarity. CoRR abs/1810.10866 (2018) - 2017
- [c1]Lifang He
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR 2017: 6846-6854 - [i1]Chun-Ta Lu, Lifang He
Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR abs/1704.03037 (2017)
Coauthor Index
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