Xingxing Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
16
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing. | Qingyu Zhang, Chunlei Xin, Xuanang Chen, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Qing Ye, Qianlong Xie, Xingxing Wang |
| 2026 | ACL | Towards Preference Following in Tool Calling Language Agents. | Zhi-Yuan Chen, Siyu Lu, Qianlong Xie, Xingxing Wang, Yankai Lin |
| 2026 | ACL | Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning. | Yongcan Yu, Lingxiao He, Jian Liang, Kuangpu Guo, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He |
| 2026 | DASFAA | Large Language Model-Enhanced Dense Retrieval for Food-Related Search on Meituan. | Yuluo Chen, Haorui Li, Tai Guo, Junda She, Siyu Lu, Qiang Liu, Jun Lei, Xingxing Wang, Cheng Yang |
| 2026 | DASFAA | DynamicPO: Dynamic Preference Optimization for Recommendation. | Xingyu Hu, Kai Zhang, Jiancan Wu, Shuli Wang, Chi Wang, Wenshuai Chen, Yinhua Zhu, Haitao Wang, Xingxing Wang, Xiang Wang |
| 2026 | KDD | Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization. | Yu Lei, Jiayang Zhao, Yilei Zhao, Zhaoqi Zhang, Linyou Cai, Qianlong Xie, Xingxing Wang |
| 2026 | WWW | From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations. | Zhi-Yuan Chen, Siyu Lu, Qiang Liu, Xingxing Wang, Yankai Lin |
| 2026 | WWW | Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction. | Weijiang Lai, Beihong Jin, Di Zhang, Siru Chen, Jiongyan Zhang, Yuhang Gou, Jian Dong, Xingxing Wang |
| 2026 | WWW | Vertical Semi-Federated Learning for Efficient Online Advertising. | Wenjie Li, Shu-Tao Xia, Jiangke Fan, Teng Zhang, Xingxing Wang |
| 2026 | WWW | DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan. | Junwei Yin, Senjie Kou, Changhao Li, Shuli Wang, Yinqiu Huang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang |
| 2026 | SIGIR | Generative Bid Shading in Real-Time Bidding Advertising. | Yinqiu Huang, Hao Ma, Wenshuai Chen, Zongwei Wang, Shuli Wang, Yongqiang Zhang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang |
| 2026 | SIGIR | Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising. | Zhaoqi Zhang, Jiaming Deng, Miao Xie, Linyou Cai, Qianlong Xie, Xingxing Wang, Siqiang Luo, Gao Cong |
| 2026 | WSDM | A Joint Auction Framework with Externalities and Adaptation. | Chun Fang, Luowen Liu, Kun Huang, Tao Ruan, Sheng Yan, Zhen Wang, Huan Li, Qiang Liu, Xingxing Wang |
| 2025 | CIKM | UniROM: Unifying Online Advertising Ranking as One Model. | Junyan Qiu, Ze Wang, Fan Zhang, Zuowu Zheng, Jile Zhu, Jiangke Fan, Teng Zhang, Haitao Wang, Xingxing Wang |
| 2025 | CIKM | You Only Evaluate Once: A Tree-based Rerank Method at Meituan. | Shuli Wang, Yinqiu Huang, Changhao Li, Yuan Zhou, Yonggang Liu, Yongqiang Zhang, Yinhua Zhu, Haitao Wang, Xingxing Wang |
| 2025 | CIKM | Non-autoregressive Generative Auction with Global Externalities for Online Advertising. | Zuowu Zheng, Ze Wang, Fan Yang, Wenqing Ye, Weihua Huang, Wenqiang He, Teng Zhang, Xingxing Wang |
| 2025 | RecSys | Exploring Scaling Laws of CTR Model for Online Performance Improvement. | Weijiang Lai, Beihong Jin, Jiongyan Zhang, Yiyuan Zheng, Jian Dong, Jia Cheng, Jun Lei, Xingxing Wang |
| 2025 | RecSys | Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction. | Weijiang Lai, Beihong Jin, Yapeng Zhang, Yiyuan Zheng, Rui Zhao, Jian Dong, Jun Lei, Xingxing Wang |
| 2025 | WWW | NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems. | Shuli Wang, Xue Wei, Senjie Kou, Chi Wang, Wenshuai Chen, Qi Tang, Yinhua Zhu, Xiong Xiao, Xingxing Wang |
| 2024 | APWEB | A Boundary Feature Enhanced Span-Based Nested Named Entity Recognition Method. | Jiaqi Song, Xingxing Wang, Huihui Zhang, Bohan Li, Tiexin Wang |
| 2024 | CIKM | VIER: Visual Imagination Enhanced Retrieval in Sponsored Search. | Yadong Zhang, Yuqing Song, Siyu Lu, Qiang Liu, Xingxing Wang |
| 2024 | ICLR | Off-Policy Primal-Dual Safe Reinforcement Learning. | Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang |
| 2024 | KDD | Joint Auction in the Online Advertising Market. | Zhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang |
| 2024 | SMC | KGNet: A Legal Knowledge Enhancement and GlobalPointer Triple Extraction Network. | Jinchen Li, Yanling Li, Fengpei Ge, Xingxing Wang |
| 2024 | WWW | PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search. | Zhaolin Hong, Haitao Wang, Chengjie Qian, Wei Chen, Tianqi He, Yajie Zou, Qiang Liu, Xingxing Wang |
| 2024 | WWW | DiffuRetrieval: A Chain-of-Thought Enhanced Diffusion Retrieval in Sponsored Search. | Yadong Zhang, Siyu Lu, Qiang Liu, Xingxing Wang |
| 2024 | WWW | User Response Modeling in Reinforcement Learning for Ads Allocation. | Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao |
| 2024 | SIGIR | Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. | Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang |
| 2024 | SIGIR | Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed. | Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang |
| 2024 | TAMC | Joint Bidding in Ad Auctions. | Yuchao Ma, Weian Li, Wanzhi Zhang, Yahui Lei, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang |
| 2023 | AAAI | Decision-Making Context Interaction Network for Click-Through Rate Prediction. | Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | CIKM | LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals. | Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | DASFAA | Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation. | Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang |
| 2023 | ICML | Safe Offline Reinforcement Learning with Real-Time Budget Constraints. | Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang |
| 2023 | KDD | PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce. | Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | KDD | A Collaborative Transfer Learning Framework for Cross-domain Recommendation. | Wei Zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang |
| 2023 | RecSys | Deep Situation-Aware Interaction Network for Click-Through Rate Prediction. | Yimin Lv, Shuli Wang, Beihong Jin, Yisong Yu, Yapeng Zhang, Jian Dong, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | RecSys | International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. | Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao |
| 2023 | SMC | Research on MacBERT-Based Multi-Type Questions Extractive Machine Reading Comprehension. | Xingxing Wang, Yue Bao, Yanling Li, Fengpei Ge, Yaohui Qi, Sukun Wang |
| 2023 | WWW | A Deep Behavior Path Matching Network for Click-Through Rate Prediction. | Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | WWW | Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. | Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang |
| 2023 | WWW | RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems. | Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang |
| 2023 | SIGIR | DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. | Tianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | SIGIR | Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. | Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | SIGIR | MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. | Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | CIKM | Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. | Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang |
| 2022 | CIKM | Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. | Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | CIKM | Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. | Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | WWW | Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. | Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | SIGIR | Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. | Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2015 | CVPR | Convolutional recurrent neural networks: Learning spatial dependencies for image representation. | Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen |
| 2012 | ACCV | A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition. | Xingxing Wang, Limin Wang, Yu Qiao |