A K-means Approach Based on Concept Hierarchical Tree for Search Results Clustering. - Peng Jiang 002; Chunxia Zhang 001; Guisuo Guo; Zhendong Niu; Dongping Gao (FSKD (1), 2009)

BIT at TREC 2009 Faceted Blog Distillation Task. - Peng Jiang 002; Qing Yang 004; Chunxia Zhang 001; Zhendong Niu (TREC, 2009)

Experiments on Related Entity Finding Track at TREC 2009. - Qing Yang 004; Peng Jiang 002; Chunxia Zhang 001; Zhendong Niu (TREC, 2009)

An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews. - Peng Jiang 002; Chunxia Zhang 001; Hongping Fu; Zhendong Niu; Qing Yang 004 (ICDM, 2010)

Blog Opinion Retrieval Based on Topic-Opinion Mixture Model. - Peng Jiang 002; Chunxia Zhang 001; Qing Yang 004; Zhendong Niu (PAKDD (2), 2010)

BIT at TREC 2010 Blog Track: Faceted Blog Distillation. - Peng Jiang 002; Qing Yang 004; Chunxia Zhang 001; Zhendong Niu (TREC, 2010)

Reconstruct Logical Hierarchical Sitemap for Related Entity Finding. - Qing Yang 004; Peng Jiang 002; Chunxia Zhang 001; Zhendong Niu (TREC, 2010)

A Probability Model for Related Entity Retrieval Using Relation Pattern. - Peng Jiang 002; Qing Yang 004; Chunxia Zhang 001; Zhendong Niu; Hongping Fu (KSEM, 2011)

Domain-specific term extraction from free texts. - Chunxia Zhang 001; Zhendong Niu; Peng Jiang 002; Hongping Fu (FSKD, 2012)

A Relation Pattern-Driven Probability Model for Related Entity Retrieval. - Peng Jiang 002; Qing Yang 004; Chunxia Zhang 001; Zhendong Niu; Hongping Fu (Int. J. Knowl. Syst. Sci., 2012)

Classification of Opinion Questions. - Hongping Fu; Zhendong Niu; Chunxia Zhang 001; Lu Wang; Peng Jiang 002; Ji Zhang (ECIR, 2013)

Extracting Fine-Grained Entities Based on Coordinate Graph. - Qing Yang 004; Peng Jiang 002; Chunxia Zhang 001; Zhendong Niu (NLDB, 2013)

Wiki3C: exploiting wikipedia for context-aware concept categorization. - Peng Jiang 002; Huiman Hou; Lijiang Chen; Shimin Chen; Conglei Yao; Chengkai Li 001; Min Wang 001 (WSDM, 2013)

Generic Promotion of Diffusion-Based Salient Object Detection. - Peng Jiang 002; Nuno Vasconcelos; Jingliang Peng (ICCV, 2015)

Life-stage Prediction for Product Recommendation in E-commerce. - Peng Jiang 002; Yadong Zhu; Yi Zhang 001; Quan Yuan (KDD, 2015)

Multi-Source Pointer Network for Product Title Summarization. - Fei Sun 001; Peng Jiang 002; Hanxiao Sun; Changhua Pei; Wenwu Ou; Xiaobo Wang 002 (CIKM, 2018)

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. - Qiaolin Xia; Peng Jiang 002; Fei Sun 001; Yi Zhang 001; Xiaobo Wang 002; Zhifang Sui (CIKM, 2018)

DifNet: Semantic Segmentation by Diffusion Networks. - Peng Jiang 002; Fanglin Gu; Yunhai Wang; Changhe Tu; Baoquan Chen (NeurIPS, 2018)

Super Diffusion for Salient Object Detection. - Peng Jiang 002; Zhiyi Pan 001; Nuno Vasconcelos; Baoquan Chen; Jingliang Peng (CoRR, 2018)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. - Fei Sun 001; Jun Liu; Jian Wu 032; Changhua Pei; Xiao Lin 002; Wenwu Ou; Peng Jiang 002 (CIKM, 2019)

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. - Xiao Lin 002; Hongjie Chen; Changhua Pei; Fei Sun 001; Xuanji Xiao; Hanxiao Sun; Yongfeng Zhang; Wenwu Ou; Peng Jiang 002 (RecSys, 2019)

Compositional network embedding for link prediction. - Tianshu Lyu; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yan Zhang 004 (RecSys, 2019)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

Value-aware Recommendation based on Reinforcement Profit Maximization. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (WWW, 2019)

A Deep-Learning-Based Multiple Defect Detection Method for Tunnel Lining Damages. - Yanan Dong; Jing Wang 050; Zhengfang Wang; Xiao Zhang; Yuan Gao; Qingmei Sui; Peng Jiang 002 (IEEE Access, 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (CoRR, 2019)

Deep Learning Inversion of Electrical Resistivity Data. - Bin Liu 047; Qian Guo; Shucai Li; Benchao Liu; Yuxiao Ren; Yonghao Pang; Lanbo Liu; Peng Jiang 002 (CoRR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Wenwu Ou; Dan Pei (CoRR, 2019)

Compositional Network Embedding. - Tianshu Lyu; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yan Zhang 004 (CoRR, 2019)

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining. - Bin Liu 047; Yuxiao Ren; Hanchi Liu; Hui Xu; Zhengfang Wang; Anthony G. Cohn 001; Peng Jiang 002 (CoRR, 2019)

Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds. - Guangnan Wu; Zhiyi Pan 001; Peng Jiang 002; Changhe Tu (ACCV (1), 2020)

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network. - Senlin Yang; Zhengfang Wang; Jing Wang 050; Anthony G. Cohn 001; Jiaqi Zhang; Peng Jiang 002; Lichao Nie; Qingmei Sui (CoRR, 2020)

Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace. - Zhiyi Pan 001; Peng Jiang 002; Changhe Tu (CoRR, 2020)

Deep-Learning Inversion of Seismic Data. - Shucai Li; Bin Liu 047; Yuxiao Ren; Yangkang Chen; Senlin Yang; Yunhai Wang; Peng Jiang 002 (IEEE Trans. Geosci. Remote. Sens., 2020)

Deep Learning Inversion of Electrical Resistivity Data. - Bin Liu 047; Qian Guo; Shucai Li; Benchao Liu; Yuxiao Ren; Yonghao Pang; Xu Guo; Lanbo Liu; Peng Jiang 002 (IEEE Trans. Geosci. Remote. Sens., 2020)

Super Diffusion for Salient Object Detection. - Peng Jiang 002; Zhiyi Pan 001; Changhe Tu; Nuno Vasconcelos; Baoquan Chen; Jingliang Peng (IEEE Trans. Image Process., 2020)

Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. - Zhiyi Pan 001; Peng Jiang 002; Yunhai Wang; Changhe Tu; Anthony G. Cohn 001 (ICCV, 2021)

Building Complex Seismic Velocity Models for Deep Learning Inversion. - Yuxiao Ren; Lichao Nie; Senlin Yang; Peng Jiang 002; Yangkang Chen (IEEE Access, 2021)

Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images. - Jing Wang 050; Kefu Chen; Hanchi Liu; Jiaqi Zhang; Wenqiang Kang; Shufan Li; Peng Jiang 002; Qingmei Sui; Zhengfang Wang (IEEE Access, 2021)

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. - Weicong Ding; Hanlin Tang; Jingshuo Feng; Lei Yuan 001; Sen Yang 004; Guangxu Yang; Jie Zheng; Jing Wang 050; Qiang Su; Dong Zheng; Xuezhong Qiu; Yongqi Liu; et al. (CoRR, 2021)

GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings. - Bin Liu 047; Yuxiao Ren; Hanchi Liu; Hui Xu; Zhengfang Wang; Anthony G. Cohn 001; Peng Jiang 002 (IEEE Trans. Geosci. Remote. Sens., 2021)

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. - Shijun Li 002; Wenqiang Lei; Qingyun Wu; Xiangnan He 001; Peng Jiang 002; Tat-Seng Chua (ACM Trans. Inf. Syst., 2021)

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Jiawei Chen 007; Biao Li; Peng Jiang 002; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CIKM, 2022)

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. - Chongming Gao; Shijun Li 002; Yuan Zhang 024; Jiawei Chen 007; Biao Li; Wenqiang Lei; Peng Jiang 002; Xiangnan He 001 (CIKM, 2022)

Real-time Short Video Recommendation on Mobile Devices. - Xudong Gong; Qinlin Feng; Yuan Zhang 024; Jiangling Qin; Weijie Ding; Biao Li; Peng Jiang 002; Kun Gai (CIKM, 2022)

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. - Jiayin Wang; Weizhi Ma; Jiayu Li 001; Hongyu Lu; Min Zhang 006; Biao Li; Yiqun Liu 001; Peng Jiang 002; Shaoping Ma (KDD, 2022)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2022)

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. - Meng Ai; Biao Li; Heyang Gong; Qingwei Yu; Shengjie Xue; Yuan Zhang 024; Yunzhou Zhang; Peng Jiang 002 (WWW, 2022)

KuaiRec: A Fully-observed Dataset for Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Biao Li; Peng Jiang 002; Jiawei Chen 007; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CoRR, 2022)

Constrained Reinforcement Learning for Short Video Recommendation. - Qingpeng Cai 001; Ruohan Zhan; Chi Zhang; Jie Zheng; Guangwei Ding; Pinghua Gong; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. - Ruohan Zhan; Changhua Pei; Qiang Su; Jianfeng Wen; Xueliang Wang; Guanyu Mu; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

Real-time Short Video Recommendation on Mobile Devices. - Xudong Gong; Qinlin Feng; Yuan Zhang 024; Jiangling Qin; Weijie Ding; Biao Li; Peng Jiang 002 (CoRR, 2022)

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data. - Bin Liu 047; Jinghang Yue; Zhiwu Zuo; Xinji Xu; Chao Fu; Senlin Yang; Peng Jiang 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines. - Jing Wang 050; Hanchi Liu; Peng Jiang 002; Zhengfang Wang; Qingmei Sui; Fengkai Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (ICLR, 2023)

A Multi-Agent Framework for Recommendation with Heterogeneous Sources. - Yabin Zhang 005; Weiqi Shao; Xu Chen 017; Yali Du 001; Xiaoxiao Xu; Dong Zheng; Changhua Pei; Shuai Zhang; Peng Jiang 002; Kun Gai (IJCNN, 2023)

Generative Flow Network for Listwise Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Zhankui He; Bowen Sun; Julian J. McAuley; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2023)

Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. - Xiao Lin 002; Xiaokai Chen; Linfeng Song; Jingwei Liu; Biao Li; Peng Jiang 002 (KDD, 2023)

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (KDD, 2023)

State Regularized Policy Optimization on Data with Dynamics Shift. - Zhenghai Xue; Qingpeng Cai 001; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (NeurIPS, 2023)

KuaiSim: A Comprehensive Simulator for Recommender Systems. - Kesen Zhao; Shuchang Liu 006; Qingpeng Cai 001; Xiangyu Zhao 001; Ziru Liu; Dong Zheng; Peng Jiang 002; Kun Gai (NeurIPS, 2023)

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. - Chongming Gao; Kexin Huang; Jiawei Chen 007; Yuan Zhang 024; Biao Li; Peng Jiang 002; Shiqi Wang 018; Zhong Zhang 004; Xiangnan He 001 (SIGIR, 2023)

Measuring Item Global Residual Value for Fair Recommendation. - Jiayin Wang; Weizhi Ma; Chumeng Jiang; Min Zhang 006; Yuan Zhang 024; Biao Li; Peng Jiang 002 (SIGIR, 2023)

Reinforcing User Retention in a Billion Scale Short Video Recommender System. - Qingpeng Cai 001; Shuchang Liu 006; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Bin Yang 042; Dong Zheng; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

Two-Stage Constrained Actor-Critic for Short Video Recommendation. - Qingpeng Cai 001; Zhenghai Xue; Chi Zhang; Wanqi Xue; Shuchang Liu 006; Ruohan Zhan; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Exploration and Regularization of the Latent Action Space in Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Bowen Sun; Yuhao Wang 006; Ji Jiang; Dong Zheng; Peng Jiang 002; Kun Gai; Xiangyu Zhao 001; Yongfeng Zhang (WWW, 2023)

Multi-Task Recommendations with Reinforcement Learning. - Ziru Liu; Jiejie Tian; Qingpeng Cai 001; Xiangyu Zhao 001; Jingtong Gao; Shuchang Liu 006; Dayou Chen; Tonghao He; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. - Yuan Zhang 024; Xue Dong; Weijie Ding; Biao Li; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

Disentangled Causal Embedding With Contrastive Learning For Recommender System. - Weiqi Zhao; Dian Tang; Xin Chen 073; Dawei Lv; Daoli Ou; Biao Li; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

A Large Language Model Enhanced Conversational Recommender System. - Yue Feng; Shuchang Liu 006; Zhenghai Xue; Qingpeng Cai 001; Lantao Hu; Peng Jiang 002; Kun Gai; Fei Sun 001 (CoRR, 2023)

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. - Zhenghai Xue; Qingpeng Cai 001; Tianyou Zuo; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (CoRR, 2023)

Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning. - Senlin Yang; Tariq Alkhalifah; Yuxiao Ren; Bin Liu 047; Yuanyuan Li; Peng Jiang 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Physics-Driven Deep Learning Inversion for Direct Current Resistivity Survey Data. - Bin Liu 047; Yonghao Pang; Peng Jiang 002; Zhengyu Liu; Benchao Liu; Yongheng Zhang; Yumei Cai; Jiawen Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion. - Hanchi Liu; Jing Wang 050; Jiaqi Zhang; Haonan Jiang; Jing Xu 021; Peng Jiang 002; Fengkai Zhang; Qingmei Sui; Zhengfang Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

RecGPT. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (DASFAA (5), 2024)

Modeling User Retention through Generative Flow Networks. - Ziru Liu; Shuchang Liu 006; Bin Yang 042; Zhenghai Xue; Qingpeng Cai 001; Xiangyu Zhao 001; Zijian Zhang 009; Lantao Hu; Han Li 005; Peng Jiang 002 (KDD, 2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. - Jiakai Tang; Sunhao Dai; Zexu Sun; Xu Chen 017; Jun Xu 001; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 2024)

Future Impact Decomposition in Request-level Recommendations. - Xiaobei Wang; Shuchang Liu 006; Xueliang Wang; Qingpeng Cai 001; Lantao Hu; Han Li 005; Peng Jiang 002; Kun Gai; Guangming Xie (KDD, 2024)

Natural Language Explainable Recommendation with Robustness Enhancement. - Jingsen Zhang; Jiakai Tang; Xu Chen 017; Wenhui Yu; Lantao Hu; Peng Jiang 002; Han Li 005 (KDD, 2024)

Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval. - Xiaowan Hu; Yiyi Chen; Yan Li 043; Minquan Wang; Haoqian Wang; Quan Chen 006; Han Li 005; Peng Jiang 002 (ACM Multimedia, 2024)

Spatiotemporal Fine-grained Video Description for Short Videos. - Te Yang; Jian Jia; Bo Wang 071; Yanhua Cheng; Yan Li 043; Dongze Hao; Xipeng Cao; Quan Chen 006; Han Li 005; Peng Jiang 002; Xiangyu Zhu 001; Zhen Lei 001 (ACM Multimedia, 2024)

Prompt Tuning for Item Cold-start Recommendation. - Yuezihan Jiang; Gaode Chen; Wenhan Zhang 004; Jingchi Wang; Yinjie Jiang; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Kaigui Bian (RecSys, 2024)

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. - Yuezihan Jiang; Changyu Li; Gaode Chen; Peiyi Li 008; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Fei Sun 001; Wentao Zhang 001 (RecSys, 2024)

Modeling User Fatigue for Sequential Recommendation. - Nian Li; Xin Ban; Cheng Ling; Chen Gao 001; Lantao Hu; Peng Jiang 002; Kun Gai; Yong Li 008; Qingmin Liao (SIGIR, 2024)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. - Ziru Liu; Shuchang Liu 006; Zijian Zhang 009; Qingpeng Cai 001; Xiangyu Zhao 001; Kesen Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

Discrete Conditional Diffusion for Reranking in Recommendation. - Xiao Lin 002; Xiaokai Chen; Chenyang Wang 003; Hantao Shu; Linfeng Song; Biao Li; Peng Jiang 002 (WWW (Companion Volume), 2024)

Intersectional Two-sided Fairness in Recommendation. - Yifan Wang 017; Peijie Sun; Weizhi Ma; Min Zhang 006; Yuan Zhang 024; Peng Jiang 002; Shaoping Ma (WWW, 2024)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. - Xiaoxiao Xu; Hao Wu; Wenhui Yu; Lantao Hu; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2024)

Future Impact Decomposition in Request-level Recommendations. - Xiaobei Wang; Shuchang Liu 006; Xueliang Wang; Qingpeng Cai 001; Lantao Hu; Han Li 005; Peng Jiang 002; Guangming Xie (CoRR, 2024)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

A Model-based Multi-Agent Personalized Short-Video Recommender System. - Peilun Zhou; Xiaoxiao Xu; Lantao Hu; Han Li 005; Peng Jiang 002 (CoRR, 2024)

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. - Jian Jia; Yipei Wang; Yan Li 043; Honggang Chen; Xuehan Bai; Zhaocheng Liu; Jian Liang 001; Quan Chen 006; Han Li 005; Peng Jiang 002; Kun Gai (CoRR, 2024)

Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation. - Shengyuan Liu; Bo Wang 011; Ye Ma; Te Yang; Xipeng Cao; Quan Chen 006; Han Li 005; Di Dong; Peng Jiang 002 (CoRR, 2024)

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling. - Wenhui Yu; Chao Feng; Yanze Zhang; Lantao Hu; Peng Jiang 002; Han Li 005 (CoRR, 2024)

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. - Zhongxiang Fan; Zhaocheng Liu; Jian Liang 002; Dongying Kong; Han Li 005; Peng Jiang 002; Shuang Li 008; Kun Gai (CoRR, 2024)

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval. - Ruixiang Zhao; Jian Jia; Yan Li 043; Xuehan Bai; Quan Chen 006; Han Li 005; Peng Jiang 002; Xirong Li 001 (CoRR, 2024)

Video to Music Moment Retrieval. - Zijie Xin; Minquan Wang; Ye Ma; Bo Wang 011; Quan Chen 006; Peng Jiang 002; Xirong Li 001 (CoRR, 2024)

Scaling Laws for Online Advertisement Retrieval. - Yunli Wang; Zixuan Yang; Zhen Zhang; Zhiqiang Wang; Jian Yang 030; Shiyang Wen; Peng Jiang 002; Kun Gai (CoRR, 2024)

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy. - Te Yang; Jian Jia; Xiangyu Zhu 001; Weisong Zhao; Bo Wang 011; Yanhua Cheng; Yan Li 043; Shengyuan Liu; Quan Chen 006; Peng Jiang 002; Kun Gai; Zhen Lei 001 (CoRR, 2024)

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy. - Peng Cui; Yiming Yang; Fusheng Jin; Siyuan Tang; Yunli Wang; Fukang Yang; Yalong Jia; Qingpeng Cai 001; Fei Pan; Changcheng Li; Peng Jiang 002 (CoRR, 2024)

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. - Siqi Kou; Jiachun Jin; Chang Liu; Ye Ma; Jian Jia; Quan Chen 006; Peng Jiang 002; Zhijie Deng (CoRR, 2024)

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising. - Ruizhi Wang; Kai Liu; Bingjie Li; Yu Rong; Qingpeng Cai 001; Fei Pan; Peng Jiang 002 (CoRR, 2024)

Adaptive2: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling. - Wenxuan Sun; Zixuan Yang; Yunli Wang; Zhen Zhang; Zhiqiang Wang; Yu Li; Jian Yang 030; Yiming Yang; Shiyang Wen; Peng Jiang 002; Kun Gai (CoRR, 2024)

Text-Video Multi-Grained Integration for Video Moment Montage. - Zhihui Yin; Ye Ma; Xipeng Cao; Bo Wang 011; Quan Chen 006; Peng Jiang 002 (CoRR, 2024)

Category-agnostic semantic edge detection by measuring neural representation randomness. - Zhiyi Pan 001; Peng Jiang 002; Qiong Zeng; Ge Li 002; Changhe Tu (Pattern Recognit., 2024)

Joint Inversion of Seismic and Resistivity Data Powered by Deep Learning. - Yuxiao Ren; Benchao Liu; Bin Liu 047; Zhengyu Liu; Peng Jiang 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. - Chongming Gao; Shiqi Wang 018; Shijun Li 002; Jiawei Chen 007; Xiangnan He 001; Wenqiang Lei; Biao Li; Yuan Zhang 024; Peng Jiang 002 (ACM Trans. Inf. Syst., 2024)

Soft Contrastive Sequential Recommendation. - Yabin Zhang 005; Zhenlei Wang; Wenhui Yu; Lantao Hu; Peng Jiang 002; Kun Gai; Xu Chen 017 (ACM Trans. Inf. Syst., 2024)

CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation. - Zhiyi Pan 001; Haochen Sun; Peng Jiang 002; Ge Li 002; Changhe Tu; Haibin Ling (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LLM-Powered User Simulator for Recommender System. - Zijian Zhang 009; Shuchang Liu 006; Ziru Liu; Rui Zhong; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Qidong Liu 002; Peng Jiang 002 (AAAI, 2025)

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. - Jian Jia; Yipei Wang; Yan Li 043; Honggang Chen; Xuehan Bai; Zhaocheng Liu; Jian Liang 001; Quan Chen 006; Han Li 005; Peng Jiang 002; Kun Gai (AAAI, 2025)

D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching. - Jingyu Liu; Minquan Wang; Ye Ma; Bo Wang 011; Aozhu Chen; Quan Chen 006; Peng Jiang 002; Xirong Li 001 (AAAI, 2025)

MOTION: Multi-object Video Editing with Training-Free Attention Guidance. - Qitong Yan; Jian Jia; Shengyuan Liu; Chang Liu; Bo Wang 071; Quan Chen 006; Peng Jiang 002; Minfeng Zhu 001; Linchao Zhu; Wei Chen 001 (ICIC (18), 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 008; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Kun Gai; Bo An 001; Xiangyu Zhao 001 (SIGIR, 2025)

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model. - Yu Xia; Rui Zhong; Hao Gu; Wei Yang 041; Chi Lu; Peng Jiang 002; Kun Gai (SIGIR, 2025)

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. - Jiaju Chen; Chongming Gao; Shuai Yuan 018; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (WSDM, 2025)

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions. - Hongtao Liu; Luxi Chen; Yiming Ding; Changcheng Li; Han Li 005; Peng Jiang 002; Weiran Shen (WSDM, 2025)

HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads. - Guobing Gan; Kaiming Gao; Li Wang 150; Shen Jiang; Peng Jiang 002 (WWW (Companion Volume), 2025)

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. - Hao Jiang; Yongxiang Tang; Yanxiang Zeng; Pengjia Yuan; Yanhua Cheng; Teng Sha; Xialong Liu; Peng Jiang 002 (WWW (Companion Volume), 2025)

GAS: Generative Auto-bidding with Post-training Search. - Yewen Li; Shuai Mao; Jingtong Gao; Nan Jiang 023; Yunjian Xu; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Bo An 001 (WWW (Companion Volume), 2025)

Optimizing Revenue through User Coupon Recommendations in Truthful Online Ad Auctions. - Xiaodong Liu; Xiao Lin 002; Yiming Ding; Changcheng Li; Peng Jiang 002; Weiran Shen (WWW, 2025)

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. - Wenzheng Shu; Yanxiang Zeng; Yongxiang Tang; Teng Sha; Ning Luo; Yanhua Cheng; Xialong Liu; Fan Zhou 002; Peng Jiang 002 (WWW (Companion Volume), 2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. - Zhenghai Xue; Qingpeng Cai 001; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (WWW, 2025)

Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems. - Rui Zhao; Rui Zhong; Haoran Zheng; Wei Yang 041; Chi Lu; Beihong Jin; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2025)

2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multifacet Features of Hydrothermal Plumes in Sonar Images. - Yiming Shao; Chengming Liu; Zhiyuan Meng; Shufan Qian; Peng Jiang 002; Yunhai Wang; Qiong Zeng (IEEE Computer Graphics and Applications, 2025)

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer. - Chongming Gao; Kexin Huang; Ziang Fei; Jiaju Chen; Jiawei Chen 007; Jianshan Sun; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (CoRR, 2025)

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval. - Jian Jia; Jingtong Gao; Ben Xue; Junhao Wang; Qingpeng Cai 001; Quan Chen 006; Xiangyu Zhao 001; Peng Jiang 002; Kun Gai (CoRR, 2025)

Learning Cascade Ranking as One Network. - Yunli Wang; Zhen Zhang; Zhiqiang Wang; Zixuan Yang; Yu Li; Jian Yang 030; Shiyang Wen; Peng Jiang 002; Kun Gai (CoRR, 2025)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation. - Kaiyuan Li; Rui Xiang; Yong Bai; Yongxiang Tang; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

CHIME: A Compressive Framework for Holistic Interest Modeling. - Yong Bai; Rui Xiang; Kaiyuan Li; Yongxiang Tang; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 002; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Kun Gai; Bo An 001; Xiangyu Zhao 001 (CoRR, 2025)

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration. - Jingtong Gao; Ling Pan; Yejing Wang; Rui Zhong; Chi Lu; Qingpeng Cai 001; Peng Jiang 002; Xiangyu Zhao 001 (CoRR, 2025)

Learning Monotonic Probabilities with a Generative Cost Model. - Yongxiang Tang; Yanhua Cheng; Xiaocheng Liu; Chenchen Jiao; Yanxiang Zeng; Ning Luo; Pengjia Yuan; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. - Kaiyuan Li; Pengyu Wang; Yunshan Peng; Pengjia Yuan; Yanxiang Zeng; Rui Xiang; Yanhua Cheng; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems. - Hao Gu; Rui Zhong; Yu Xia; Wei Yang 041; Chi Lu; Peng Jiang 002; Kun Gai (CoRR, 2025)

Expert-Guided Diffusion Planner for Auto-Bidding. - Yunshan Peng; Wenzheng Shu; Jiahao Sun; Yanxiang Zeng; Jinan Pang; Wentao Bai; Yunke Bai; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems. - Kaiyuan Li; Dongdong Mao; Yongxiang Tang; Yanhua Cheng; Yanxiang Zeng; Chao Wang; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation. - Yu Xia; Rui Zhong; Zeyu Song; Wei Yang 041; Junchen Wan; Qingpeng Cai 001; Chi Lu; Peng Jiang 002 (CoRR, 2025)