AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. - Chaozhuo Li; Bochen Pang; Yuming Liu; Hao Sun 015; Zheng Liu 011; Xing Xie 001; Tianqi Yang; Yanling Cui; Liangjie Zhang; Qi Zhang 066 (SIGIR, 2021)

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. - Bochen Pang; Chaozhuo Li; Yuming Liu; Jianxun Lian; Jianan Zhao 002; Hao Sun 015; Weiwei Deng; Xing Xie 001; Qi Zhang 066 (KDD, 2022)

AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search. - Yongjie Zhu; Chunhui Han; Yuefeng Zhan; Bochen Pang; Zhaoju Li; Hao Sun 015; Si Li 001; Boxin Shi; Nan Duan; Weiwei Deng; Ruofei Zhang; Liangjie Zhang; et al. (ACM Multimedia, 2022)

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. - Junyu Bi; Daixuan Cheng; Ping Yao; Bochen Pang; Yuefeng Zhan; Chuanguang Yang; Yujing Wang; Hao Sun 015; Weiwei Deng; Qi Zhang 066 (ICCV, 2023)

Model-enhanced Vector Index. - Hailin Zhang 004; Yujing Wang; Qi Chen 009; Ruiheng Chang; Ting Zhang 002; Ziming Miao; Yingyan Hou; Yang Ding; Xupeng Miao; Haonan Wang; Bochen Pang; Yuefeng Zhan; et al. (NeurIPS, 2023)

Token-level Proximal Policy Optimization for Query Generation. - Yichen Ouyang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chenghua Huang; Jianfeng Liu; Bochen Pang; Yaming Yang 001; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Saravan Rajmohan; et al. (CoRR, 2024)