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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
- [c79]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 - [c78]Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng:
E2-LLM: Efficient and Extreme Length Extension of Large Language Models. ACL (Findings) 2024: 4243-4253 - [c77]Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, ZhiqiBai ZhiqiBai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. ACL (Findings) 2024: 6815-6839 - [c76]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. ACL (1) 2024: 7421-7454 - [c75]Dingyi Yang, Chunru Zhan, Ziheng Wang, Biao Wang, Tiezheng Ge, Bo Zheng, Qin Jin:
Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline. ACL (1) 2024: 9479-9493 - [c74]Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Bo Zheng, Yan Zhang:
Generative Auto-bidding via Conditional Diffusion Modeling. KDD 2024: 5038-5049 - [c73]Zhe Lin, Jiwei Tan, Dan Ou, Xi Chen, Shaowei Yao, Bo Zheng:
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce. KDD 2024: 5398-5408 - [c72]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 - [c71]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 - [c70]Wenhao Wu, Jialiang Zhou, Ailong He, Shuguang Han, Jufeng Chen, Bo Zheng:
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. WWW (Companion Volume) 2024: 216-225 - [c69]Ningyuan Li, Yunxuan Ma, Yang Zhao, Qian Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. WWW 2024: 235-244 - [i68]Yikai Qian, Tianle Wang, Xinyi Tong, Xin Jin, Duo Xu, Bo Zheng, Tiezheng Ge, Feng Yu, Song-Chun Zhu:
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music. CoRR abs/2401.02678 (2024) - [i67]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) - [i66]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) - [i65]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) - [i64]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. CoRR abs/2402.14762 (2024) - [i63]Litong Gong, Yiran Zhu, Weijie Li, Xiaoyang Kang, Biao Wang, Tiezheng Ge, Bo Zheng:
AtomoVideo: High Fidelity Image-to-Video Generation. CoRR abs/2403.01800 (2024) - [i62]Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng:
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CoRR abs/2403.02607 (2024) - [i61]Weijie Li, Litong Gong, Yiran Zhu, Fanda Fan, Biao Wang, Tiezheng Ge, Bo Zheng:
Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation. CoRR abs/2403.02827 (2024) - [i60]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) - [i59]Chen Xu, Tianhui Song, Weixin Feng, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang:
Accelerating Image Generation with Sub-path Linear Approximation Model. CoRR abs/2404.13903 (2024) - [i58]Chengrui Wang, Pengfei Liu, Min Zhou, Ming Zeng, Xubin Li, Tiezheng Ge, Bo Zheng:
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance. CoRR abs/2404.13984 (2024) - [i57]Hongyu Chen, Yiqi Gao, Min Zhou, Peng Wang, Xubin Li, Tiezheng Ge, Bo Zheng:
Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion. CoRR abs/2404.14768 (2024) - [i56]Dingyi Yang, Chunru Zhan, Ziheng Wang, Biao Wang, Tiezheng Ge, Bo Zheng, Qin Jin:
Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline. CoRR abs/2405.14040 (2024) - [i55]Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng:
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. CoRR abs/2406.01359 (2024) - [i54]Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. CoRR abs/2406.01375 (2024) - [i53]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR abs/2406.14550 (2024) - [i52]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i51]Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
DDK: Distilling Domain Knowledge for Efficient Large Language Models. CoRR abs/2407.16154 (2024) - [i50]Xiang-Rong Sheng, Feifan Yang, Litong Gong, Biao Wang, Zhangming Chan, Yujing Zhang, Yueyao Cheng, Yong-Nan Zhu, Tiezheng Ge, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. CoRR abs/2407.19467 (2024) - 2023
- [c68]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 - [c67]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 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. KDD 2023: 3628-3637 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]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 - [c46]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
- [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng:
Sustainable Online Reinforcement Learning for Auto-bidding. NeurIPS 2022 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR 2022: 2634-2638 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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]