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2020 – today
- 2024
- [j3]Yabin Zhang
, Zhenlei Wang
, Wenhui Yu
, Lantao Hu
, Peng Jiang
, Kun Gai
, Xu Chen
:
Soft Contrastive Sequential Recommendation. ACM Trans. Inf. Syst. 42(6): 154:1-154:28 (2024) - [c82]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: 3829-3852 - [c81]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: 9729-9750 - [c80]Gaode Chen
, Yuezihan Jiang
, Rui Huang
, Kuo Cai
, Yunze Luo
, Ruina Sun
, Qi Zhang
, Han Li
, Kun Gai
:
Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation. CIKM 2024: 4390-4396 - [c79]Zhiqiang Liu
, Xiaoxiao Xu
, Jiaqi Yu
, Han Xu
, Lantao Hu
, Han Li
, Kun Gai
:
A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System. CIKM 2024: 4726-4733 - [c78]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. CIKM 2024: 4890-4897 - [c77]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: 4476-4487 - [c76]Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai:
RecGPT. DASFAA (5) 2024: 233-250 - [c75]Xiaoxue Cheng, Junyi Li, 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. EMNLP 2024: 14600-14615 - [c74]Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai:
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. EMNLP 2024: 17402-17431 - [c73]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 - [c72]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. ICML 2024 - [c71]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: 5905-5916 - [c70]Yuting Zhang
, Zhao Zhang
, Yiqing Wu
, Ying Sun
, Fuzhen Zhuang
, Wenhui Yu
, Lantao Hu
, Han Li
, Kun Gai
, Zhulin An
, Yongjun Xu
:
Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia 2024: 5683-5691 - [c69]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: 6137-6170 - [c68]Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu:
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. NeurIPS 2024 - [c67]Gaode Chen
, Ruina Sun
, Yuezihan Jiang
, Jiangxia Cao
, Qi Zhang
, Jingjian Lin
, Han Li
, Kun Gai
, Xinghua Zhang
:
A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. RecSys 2024: 391-400 - [c66]Shuo Su
, Xiaoshuang Chen
, Yao Wang
, Yulin Wu
, Ziqiang Zhang
, Kaiqiao Zhan
, Ben Wang
, Kun Gai
:
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems. RecSys 2024: 670-679 - [c65]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. SIGIR 2024: 893-902 - [c64]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: 996-1005 - [c63]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: 1872-1882 - [c62]Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, Kun Gai:
Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning. SIGIR-AP 2024: 154-163 - [c61]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: 396-404 - [c60]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: 405-413 - [c59]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: 453-460 - [c58]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: 3621-3631 - [c57]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: 3756-3766 - [c56]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: 3798-3809 - [i87]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 abs/2402.03161 (2024) - [i86]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 abs/2404.03637 (2024) - [i85]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 abs/2404.08675 (2024) - [i84]Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai:
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. CoRR abs/2404.11095 (2024) - [i83]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 abs/2404.18465 (2024) - [i82]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 abs/2405.03988 (2024) - [i81]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 abs/2405.04844 (2024) - [i80]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 abs/2405.11764 (2024) - [i79]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 abs/2405.14677 (2024) - [i78]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 abs/2405.15208 (2024) - [i77]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 abs/2406.11277 (2024) - [i76]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 abs/2407.01607 (2024) - [i75]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 abs/2407.16357 (2024) - [i74]Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou:
HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. CoRR abs/2408.05430 (2024) - [i73]Shuo Su, Xiaoshuang Chen, Yao Wang, Yulin Wu, Ziqiang Zhang, Kaiqiao Zhan, Ben Wang, Kun Gai:
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems. CoRR abs/2409.13175 (2024) - [i72]Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai:
ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning. CoRR abs/2409.14710 (2024) - [i71]Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai:
Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation. CoRR abs/2410.16755 (2024) - [i70]Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai:
RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR abs/2410.20868 (2024) - [i69]Xiao Lv, Jiangxia Cao, Shijie Guan, Xiaoyou Zhou, Zhiguang Qi, Yaqiang Zang, Ming Li, Ben Wang, Kun Gai, Guorui Zhou:
MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity. CoRR abs/2411.09425 (2024) - [i68]Chi Liu, Jiangxia Cao, Rui Huang, Kai Zheng, Qiang Luo, Kun Gai, Guorui Zhou:
KuaiFormer: Transformer-Based Retrieval at Kuaishou. CoRR abs/2411.10057 (2024) - [i67]Xinchen Luo, Jiangxia Cao, Tianyu Sun, Jinkai Yu, Rui Huang, Wei Yuan, Hezheng Lin, Yichen Zheng, Shiyao Wang, Qigen Hu, Changqing Qiu, Jiaqi Zhang, Xu Zhang, Zhiheng Yan, Jingming Zhang, Simin Zhang, Mingxing Wen, Zhaojie Liu, Kun Gai, Guorui Zhou:
QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. CoRR abs/2411.11739 (2024) - [i66]Yunli Wang, Zixuan Yang, Zhen Zhang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai:
Scaling Laws for Online Advertisement Retrieval. CoRR abs/2411.13322 (2024) - [i65]Te Yang, Jian Jia, Xiangyu Zhu, Weisong Zhao, Bo Wang, Yanhua Cheng, Yan Li, Shengyuan Liu, Quan Chen, Peng Jiang, Kun Gai, Zhen Lei:
Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy. CoRR abs/2411.15453 (2024) - [i64]Yuanyang Yin, Yaqi Zhao, Mingwu Zheng, Ke Lin, Jiarong Ou, Rui Chen, Victor Shea-Jay Huang, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Baoqun Yin, Wentao Zhang, Kun Gai:
Towards Precise Scaling Laws for Video Diffusion Transformers. CoRR abs/2411.17470 (2024) - [i63]Wenxuan Sun, Zixuan Yang, Yunli Wang, Zhen Zhang, Zhiqiang Wang, Yu Li, Jian Yang, Yiming Yang, Shiyang Wen, Peng Jiang, Kun Gai:
Adaptive2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling. CoRR abs/2412.08198 (2024) - [i62]Chi Liu, Jiangxia Cao, Rui Huang, Kuo Cai, Weifeng Ding, Qiang Luo, Kun Gai, Guorui Zhou:
CRM: Retrieval Model with Controllable Condition. CoRR abs/2412.13844 (2024) - 2023
- [c55]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 - [c54]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: 1-8 - [c53]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: 1524-1534 - [c52]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: 2721-2730 - [c51]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: 2874-2884 - [c50]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: 3785-3794 - [c49]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: 3795-3804 - [c48]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 - [c47]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 - [c46]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: 540-550 - [c45]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: 496-505 - [c44]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: 1313-1323 - [c43]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: 366-370 - [c42]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: 406-410 - [c41]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: 421-426 - [c40]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: 833-844 - [c39]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: 865-875 - [c38]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: 1273-1282 - [i61]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 abs/2302.01115 (2023) - [i60]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 abs/2302.01680 (2023) - [i59]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 abs/2302.01724 (2023) - [i58]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 abs/2302.02352 (2023) - [i57]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 abs/2302.02657 (2023) - [i56]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 abs/2302.03248 (2023) - [i55]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 abs/2302.03328 (2023) - [i54]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 abs/2302.03431 (2023) - [i53]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 abs/2305.10822 (2023) - [i52]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 abs/2305.18238 (2023) - [i51]Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. CoRR abs/2306.02239 (2023) - [i50]Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An:
State Regularized Policy Optimization on Data with Dynamics Shift. CoRR abs/2306.03552 (2023) - [i49]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 abs/2306.04095 (2023) - [i48]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. CoRR abs/2308.00535 (2023) - [i47]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 abs/2308.04086 (2023) - [i46]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 abs/2308.06212 (2023) - [i45]Yang Jin, 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 abs/2309.04669 (2023) - [i44]Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai:
KuaiSim: A Comprehensive Simulator for Recommender Systems. CoRR abs/2309.12645 (2023) - [i43]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 abs/2310.03984 (2023) - [i42]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 abs/2310.07301 (2023) - [i41]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 abs/2310.07488 (2023) - [i40]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 abs/2310.10462 (2023) - [i39]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 abs/2311.01677 (2023) - [i38]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 abs/2311.08154 (2023) - [i37]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 abs/2311.08272 (2023) - [i36]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 abs/2311.08302 (2023) - 2022
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Real-time Short Video Recommendation on Mobile Devices. CIKM 2022: 3103-3112 - [c36]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: 4472-4481 - 2021
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Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. KDD 2021: 2792-2801 - [c34]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: 993-1001 - [i35]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 abs/2102.09283 (2021) - 2020
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