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ORCIDBiao Li 0002
Person information
- affiliation: Kuaishou Technology Co., Ltd.
Other persons with the same name
- Biao Li — disambiguation page
- Biao Li 0001
![[0000-0002-2798-4172]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2798-4172")
— Peking University, Beijing, China - Biao Li 0003 — Nanchang University, Nanchang, China
- Biao Li 0004 — Lanzhou Longneng Electric Power Science & Technology Co.,LTD, China
- Biao Li 0005 — Southwest University of Finance and Economics, China
- Biao Li 0006 — Chongqing CEPREI Industrial Technology Research Institute Co., Ltd., Chongqing, China
- Biao Li 0007 — University of Science and Technology Beijing, Beijing, China
- Biao Li 0008 — Southwest Petroleum University, Chengdu, China
- Biao Li 0009 — National University of Defense Technology, China
- Biao Li 0010 — Ningbo University, Ningbo, Zhejiang, China
- Biao Li 0011 — Zhejiang University, Hangzhou, China
- Biao Li 0012 — Huaiyin Institute of Technology, China
- Biao Li 0013 — China University of Mining and Technology, Xuzhou, China
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2020 – today
- 2024
[j1]Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42(1): 14:1-14:27 (2024)- [c11]Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang:
Discrete Conditional Diffusion for Reranking in Recommendation. WWW (Companion Volume) 2024: 161-169 - 2023
- [c10]Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang:
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. KDD 2023: 4497-4506 - [c9]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR 2023: 238-248 - [c8]Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. SIGIR 2023: 269-278 - [c7]Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. WWW (Companion Volume) 2023: 366-370 - [c6]Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai:
Disentangled Causal Embedding With Contrastive Learning For Recommender System. WWW (Companion Volume) 2023: 406-410 - [i11]Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective. CoRR abs/2302.02657 (2023) - [i10]Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai:
Disentangled Causal Embedding With Contrastive Learning For Recommender System. CoRR abs/2302.03248 (2023) - [i9]Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang:
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. CoRR abs/2306.03392 (2023) - [i8]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR abs/2307.04571 (2023) - [i7]Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. CoRR abs/2307.08259 (2023) - [i6]Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang:
Discrete Conditional Diffusion for Reranking in Recommendation. CoRR abs/2308.06982 (2023) - 2022
- [c5]Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550 - [c4]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Real-time Short Video Recommendation on Mobile Devices. CIKM 2022: 3103-3112 - [c3]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM 2022: 3953-3957 - [c2]Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma:
Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. KDD 2022: 1868-1877 - [c1]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. WWW 2022: 2310-2319 - [i5]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. CoRR abs/2201.12585 (2022) - [i4]Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022) - [i3]Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR abs/2204.01266 (2022) - [i2]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR abs/2208.08696 (2022) - [i1]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang:
Real-time Short Video Recommendation on Mobile Devices. CoRR abs/2208.09577 (2022)
Coauthor Index
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