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Bo Zheng 0007
Person information
- affiliation: Alibaba Group, Beijing, China
Other persons with the same name
- Bo Zheng — disambiguation page
- Bo Zheng 0001 — University of Tokyo, Japan
- Bo Zheng 0002 — Southwest University, School of Mathematics and Statistics, Chongqing, China
- Bo Zheng 0003 — University of California at Berkeley, Department of Bioengineering, CA, USA
- Bo Zheng 0004 — Huzhou University, School of Information Engineering, China
- Bo Zheng 0005 — Tsinghua University, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing, China
- Bo Zheng 0006 — Chinese University of Hong Kong, Department of Chemistry
- Bo Zheng 0008 — Civil Aviation Flight University of China, Aviation Engineering Institute, Guanghan, Sichuan, China (and 1 more)
- Bo Zheng 0009 — McGill University, Department of Electrical and Computer Engineering, Montreal, Canada
- Bo Zheng 0010 — Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
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2020 – today
- 2024
- [c67]Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng:
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. AAAI 2024: 7987-7994 - [c66]Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng:
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. WSDM 2024: 247-256 - [c65]Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li:
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825 - [i53]Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng:
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. CoRR abs/2401.06951 (2024) - [i52]Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method. CoRR abs/2402.11904 (2024) - [i51]Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. CoRR abs/2402.14660 (2024) - [i50]Wenhao Wu, Jialiang Zhou, Ailong He, Shuguang Han, Jufeng Chen, Bo Zheng:
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. CoRR abs/2403.06747 (2024) - 2023
- [c64]Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM 2023: 514-523 - [c63]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM 2023: 1857-1866 - [c62]Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CIKM 2023: 4574-4580 - [c61]Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu:
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CIKM 2023: 4588-4594 - [c60]Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. CIKM 2023: 4639-4645 - [c59]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CIKM 2023: 4974-4980 - [c58]Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng:
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. CIKM 2023: 4981-4987 - [c57]Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng:
Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. KDD 2023: 1291-1302 - [c56]Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng:
End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. KDD 2023: 1677-1686 - [c55]Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng:
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. KDD 2023: 2314-2325 - [c54]Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
E-commerce Search via Content Collaborative Graph Neural Network. KDD 2023: 2885-2897 - [c53]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. KDD 2023: 3628-3637 - [c52]Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng:
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. KDD 2023: 3774-3784 - [c51]Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD 2023: 4813-4822 - [c50]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. KDD 2023: 5204-5214 - [c49]Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng:
A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. KDD 2023: 5544-5553 - [c48]Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS 2023 - [c47]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR 2023: 517-526 - [c46]Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. SIGIR 2023: 2032-2036 - [c45]Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. SIGIR 2023: 3037-3046 - [c44]Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng:
Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. WWW 2023: 533-544 - [c43]Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. WWW 2023: 983-991 - [c42]Liang Dai, Zhonglin Zu, Hao Wu, Liang Wang, Bo Zheng:
Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. WWW 2023: 3572-3580 - [i49]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. CoRR abs/2302.02592 (2023) - [i48]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR abs/2302.02636 (2023) - [i47]Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. CoRR abs/2303.05847 (2023) - [i46]Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. CoRR abs/2305.08328 (2023) - [i45]Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng:
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. CoRR abs/2305.12837 (2023) - [i44]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. CoRR abs/2305.13987 (2023) - [i43]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CoRR abs/2306.03516 (2023) - [i42]Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CoRR abs/2306.03527 (2023) - [i41]Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng:
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. CoRR abs/2306.07106 (2023) - [i40]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR abs/2306.16732 (2023) - [i39]Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng:
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. CoRR abs/2308.04768 (2023) - [i38]Minfang Lu, Yuchen Jiang, Huihui Dong, Qi Li, Ziru Xu, Yuanlin Liu, Lixia Wu, Haoyuan Hu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
Robust Representation Learning for Unified Online Top-K Recommendation. CoRR abs/2310.15492 (2023) - [i37]Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR abs/2311.01196 (2023) - [i36]Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng:
Learning against Non-credible Auctions. CoRR abs/2311.15203 (2023) - [i35]Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng:
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. CoRR abs/2312.06174 (2023) - [i34]Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng:
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. CoRR abs/2312.08727 (2023) - 2022
- [c41]Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. CIKM 2022: 2671-2680 - [c40]Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng:
Hierarchically Constrained Adaptive Ad Exposure in Feeds. CIKM 2022: 3003-3012 - [c39]Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CIKM 2022: 3013-3022 - [c38]Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. CIKM 2022: 3212-3221 - [c37]Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. CIKM 2022: 3352-3360 - [c36]Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. CIKM 2022: 3634-3643 - [c35]Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng:
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CIKM 2022: 3684-3693 - [c34]Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CIKM 2022: 4615-4619 - [c33]Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CIKM 2022: 4635-4639 - [c32]Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. ICDE 2022: 3439-3452 - [c31]Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng:
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. ICDE 2022: 3453-3466 - [c30]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. KDD 2022: 2050-2058 - [c29]Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing:
EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. KDD 2022: 2732-2740 - [c28]Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng:
Pretraining Representations of Multi-modal Multi-query E-commerce Search. KDD 2022: 3429-3437 - [c27]Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng:
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. KDD 2022: 4021-4031 - [c26]Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng:
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. NAACL-HLT (Industry Papers) 2022: 9-17 - [c25]Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng:
Sustainable Online Reinforcement Learning for Auto-bidding. NeurIPS 2022 - [c24]Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng:
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS 2022 - [c23]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS 2022 - [c22]Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. SIGIR 2022: 1802-1806 - [c21]Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng:
Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. SIGIR 2022: 2013-2017 - [c20]Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng:
Joint Optimization of Ad Ranking and Creative Selection. SIGIR 2022: 2341-2346 - [c19]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR 2022: 2634-2638 - [c18]Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng:
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. SIGIR 2022: 2645-2649 - [c17]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM 2022: 1129-1139 - [c16]Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. WSDM 2022: 1368-1376 - [c15]Chenchen Feng, Yu He, Shiyang Wen, Guojun Liu, Liang Wang, Jian Xu, Bo Zheng:
DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. WWW (Companion Volume) 2022: 32-40 - [c14]Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng:
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. WWW 2022: 369-379 - [c13]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. WWW 2022: 2078-2087 - [c12]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW 2022: 2236-2246 - [i33]Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. CoRR abs/2201.06814 (2022) - [i32]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. CoRR abs/2201.08024 (2022) - [i31]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR abs/2202.04348 (2022) - [i30]Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng:
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. CoRR abs/2202.06472 (2022) - [i29]Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CoRR abs/2202.10226 (2022) - [i28]Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. CoRR abs/2203.14683 (2022) - [i27]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. CoRR abs/2203.16218 (2022) - [i26]Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng:
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. CoRR abs/2204.04903 (2022) - [i25]Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CoRR abs/2205.04168 (2022) - [i24]Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng:
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. CoRR abs/2205.07295 (2022) - [i23]Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng:
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. CoRR abs/2205.08943 (2022) - [i22]Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng:
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. CoRR abs/2205.11048 (2022) - [i21]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. CoRR abs/2205.14970 (2022) - [i20]Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng:
Hierarchically Constrained Adaptive Ad Exposure in Feeds. CoRR abs/2205.15759 (2022) - [i19]Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. CoRR abs/2206.01022 (2022) - [i18]Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng:
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. CoRR abs/2206.05240 (2022) - [i17]Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. CoRR abs/2206.09672 (2022) - [i16]Xiao Wang, Shaoguo Liu, Yidong Jia, Yuxin Fu, Yufang Yu, Liang Wang, Bo Zheng:
MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising. CoRR abs/2206.12147 (2022) - [i15]Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CoRR abs/2206.13108 (2022) - [i14]Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. CoRR abs/2208.06164 (2022) - [i13]Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng:
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CoRR abs/2208.10174 (2022) - [i12]Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng:
Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. CoRR abs/2208.13442 (2022) - [i11]Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models. CoRR abs/2209.06053 (2022) - [i10]Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng:
Sustainable Online Reinforcement Learning for Auto-bidding. CoRR abs/2210.07006 (2022) - [i9]Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. CoRR abs/2211.11191 (2022) - 2021
- [c11]Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng:
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. CIKM 2021: 3528-3532 - [c10]Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng:
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. CIKM 2021: 3543-3547 - [c9]Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. CIKM 2021: 3563-3567 - [c8]Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM 2021: 3568-3572 - [c7]Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CIKM 2021: 3976-3985 - [c6]Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng:
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. KDD 2021: 2899-2909 - [c5]Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. SIGIR 2021: 2036-2040 - [c4]Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng:
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. SIGIR 2021: 2161-2165 - [i8]Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. CoRR abs/2105.07706 (2021) - [i7]Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng:
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. CoRR abs/2105.07752 (2021) - [i6]Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng:
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. CoRR abs/2106.04075 (2021) - [i5]Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR abs/2108.11513 (2021) - [i4]Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. CoRR abs/2109.02471 (2021) - [i3]Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CoRR abs/2111.00926 (2021) - [i2]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. CoRR abs/2112.11136 (2021) - 2020
- [c3]Tong Zhang, Baoliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng:
Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. ICDE 2020: 1657-1666
2010 – 2019
- 2019
- [c2]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c1]Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. WWW 2019: 1771-1781 - [i1]Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. CoRR abs/1902.08882 (2019)
Coauthor Index
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