Kun Gai

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 139

Top Venues

Publications

Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. CoRR (2024)
Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Kun Gai
DialogBench: Evaluating LLMs as Human-like Dialogue Systems. NAACL-HLT (2024)
Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. ACL (1) (2024)
Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. WWW (Companion Volume) (2024)
Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. CoRR (2024)
Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Di Zhang, Yang Song, Kun Gai, Yadong Mu
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. CoRR (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. CoRR (2024)
Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie
Future Impact Decomposition in Request-level Recommendations. KDD (2024)
Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. CoRR (2024)
Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. LREC/COLING (2024)
Lei Lin, Jia-Yi Fu, Pengli Liu, Qingyang Li, Yan Gong, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. ACL (Findings) (2024)
Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. CoRR (2024)
Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR (2024)
Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. WWW (2024)
Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs. CoRR (2024)
Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai
Enhancing Role-playing Systems through Aggressive Queries: Evaluation and Improvement. CoRR (2024)
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. SIGIR (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. CoRR (2024)
Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song, Kun Gai
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. CoRR (2024)
Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. ICLR (2024)
Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. CoRR (2024)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM (2024)
Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems. WWW (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. SIGIR (2024)
Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR (2024)
Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. WWW (2024)
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)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. KDD (2023)
Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
Graph Contrastive Learning with Generative Adversarial Network. CoRR (2023)
Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. CoRR (2023)
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. ICLR (2023)
Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai
Reinforcing User Retention in a Billion Scale Short Video Recommender System. CoRR (2023)
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
Multi-Task Recommendations with Reinforcement Learning. CoRR (2023)
Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai
Multi-behavior Self-supervised Learning for Recommendation. CoRR (2023)
Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys (2023)
Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai
DialogBench: Evaluating LLMs as Human-like Dialogue Systems. CoRR (2023)
Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
State Regularized Policy Optimization on Data with Dynamics Shift. CoRR (2023)
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR (2023)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. NeurIPS (2023)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. CoRR (2023)
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
Two-Stage Constrained Actor-Critic for Short Video Recommendation. CoRR (2023)
Lei Lin, Jia-Yi Fu, Pengli Liu, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai
Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. CoRR (2023)
Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. CoRR (2023)
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
Two-Stage Constrained Actor-Critic for Short Video Recommendation. WWW (2023)
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR (2023)
Yuchong Sun, Che Liu, Jinwen Huang, Ruihua Song, Fuzheng Zhang, Di Zhang, Zhongyuan Wang, Kun Gai
Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions. CoRR (2023)
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 (2023)
Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR (2023)
Jia-Yi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, Shengnan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai
KwaiYiiMath: Technical Report. CoRR (2023)
Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD (2023)
Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun
A Large Language Model Enhanced Conversational Recommender System. CoRR (2023)
Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. CoRR (2023)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. CoRR (2023)
Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. KDD (2023)
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang
Exploration and Regularization of the Latent Action Space in Recommendation. CoRR (2023)
Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai
Multi-behavior Self-supervised Learning for Recommendation. SIGIR (2023)
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
Multi-Task Recommendations with Reinforcement Learning. WWW (2023)
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
Exploration and Regularization of the Latent Action Space in Recommendation. WWW (2023)
Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
Graph Contrastive Learning with Generative Adversarial Network. KDD (2023)
Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. KDD (2023)
Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. CoRR (2023)
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. SIGIR (2023)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
Mixed Attention Network for Cross-domain Sequential Recommendation. CoRR (2023)
Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
State Regularized Policy Optimization on Data with Dynamics Shift. NeurIPS (2023)
Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR (2023)
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)
Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems. CoRR (2023)
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 (2023)
Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai
Reinforcing User Retention in a Billion Scale Short Video Recommender System. WWW (Companion Volume) (2023)
Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN (2023)
Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. KDD (2022)
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)
Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. KDD (2021)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. WSDM (2021)
Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu
Truncation-Free Matching System for Display Advertising at Alibaba. CoRR (2021)
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
Learning Optimal Tree Models Under Beam Search. CoRR (2020)
Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai
DCAF: A Dynamic Computation Allocation Framework for Online Serving System. CoRR (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR (2020)
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR (2020)
Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai
Progressive Feature Polishing Network for Salient Object Detection. AAAI (2020)
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CoRR (2020)
Qi Pi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Kun Gai
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CoRR (2020)
Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai
Calibrating User Response Predictions in Online Advertising. ECML/PKDD (4) (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML (2020)
Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR (2020)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. CoRR (2020)
Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, Kun Gai
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. CIKM (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR (2020)
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CIKM (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS (2020)
Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai
COLD: Towards the Next Generation of Pre-Ranking System. CoRR (2020)
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
Learning Optimal Tree Models under Beam Search. ICML (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI (2020)
Chao Du, Yifan Zeng, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Xiaoqiang Zhu, Jian Xu, Kun Gai
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. CoRR (2020)
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kun Gai