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2020 – today
- 2024
[c9]Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. AAAI 2024: 11944-11952- [c8]Zhigang Huangfu
, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang:
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. CIKM 2024: 4579-4586 - [c7]Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu:
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. CIKM 2024: 5086-5093 - [c6]Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. WWW (Companion Volume) 2024: 93-102 - [i4]Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu:
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. CoRR abs/2402.13750 (2024) - 2023
- [c5]Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu:
Alleviating Matching Bias in Marketing Recommendations. SIGIR 2023: 3359-3363 - 2022
- [c4]Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo:
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR 2022: 3403-3407 - [c3]Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu:
A Multi-Task Learning Approach for Delayed Feedback Modeling. WWW (Companion Volume) 2022: 116-120
2010 – 2019
- 2018
- [c2]Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li:
Proximal SCOPE for Distributed Sparse Learning. NeurIPS 2018: 6552-6561 - [i3]Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
Feature-Distributed SVRG for High-Dimensional Linear Classification. CoRR abs/1802.03604 (2018) - [i2]Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li:
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. CoRR abs/1803.05621 (2018) - 2017
- [c1]Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li:
Lock-Free Optimization for Non-Convex Problems. AAAI 2017: 2935-2941 - 2016
- [i1]Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li:
Lock-Free Optimization for Non-Convex Problems. CoRR abs/1612.03441 (2016)
Coauthor Index
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