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Peng Jiang 0002
Person information
- affiliation: Kwai Inc. / Kuaishou Inc., Beijing, China
- affiliation (former): Alibaba Group, Beijing, China
- affiliation (former): HP Labs, China
- affiliation (former): Beijing Institute of Technology, China
Other persons with the same name
- Peng Jiang — disambiguation page
- Peng Jiang 0001 — Queen Mary University of London, UK
- Peng Jiang 0004
— University of Iowa, Iowa City, IA, USA (and 1 more)
- Peng Jiang 0005 — University of Illinois Urbana-Champaign, Department of Computer Science, IL, USA
- Peng Jiang 0006
- Peng Jiang 0007
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2020 – today
- 2024
- [j15]Yuxiao Ren
Joint Inversion of Seismic and Resistivity Data Powered by Deep Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j14]Chongming Gao
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42(1): 14:1-14:27 (2024) - [c57]Jiakai Tang
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. KDD 2024: 2854-2865 - [c56]Jingsen Zhang
Natural Language Explainable Recommendation with Robustness Enhancement. KDD 2024: 4203-4212 - [c55]Ziru Liu
Modeling User Retention through Generative Flow Networks. KDD 2024: 5497-5508 - [c54]Xiaobei Wang
Future Impact Decomposition in Request-level Recommendations. KDD 2024: 5905-5916 - [c53]Te Yang
Spatiotemporal Fine-grained Video Description for Short Videos. ACM Multimedia 2024: 3945-3954 - [c52]Xiaowan Hu
Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval. ACM Multimedia 2024: 9601-9610 - [c51]Yuezihan Jiang
Prompt Tuning for Item Cold-start Recommendation. RecSys 2024: 411-421 - [c50]Yuezihan Jiang
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. RecSys 2024: 538-548 - [c49]Zijian Zhang
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR 2024: 893-902 - [c48]Nian Li
Modeling User Fatigue for Sequential Recommendation. SIGIR 2024: 996-1005 - [c47]Ziru Liu
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. SIGIR 2024: 1872-1882 - [c46]Xiao Lin
Discrete Conditional Diffusion for Reranking in Recommendation. WWW (Companion Volume) 2024: 161-169 - [c45]Xiaoxiao Xu
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. WWW (Companion Volume) 2024: 453-460 - [c44]Yifan Wang
Intersectional Two-sided Fairness in Recommendation. WWW 2024: 3609-3620 - [i54]Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie:
Future Impact Decomposition in Request-level Recommendations. CoRR abs/2401.16108 (2024) - [i53]Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma:
Intersectional Two-sided Fairness in Recommendation. CoRR abs/2402.02816 (2024) - [i52]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) - [i51]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) - [i50]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) - [i49]Peilun Zhou, Xiaoxiao Xu, Lantao Hu, Han Li, Peng Jiang:
A Model-based Multi-Agent Personalized Short-Video Recommender System. CoRR abs/2405.01847 (2024) - [i48]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) - [i47]Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Xipeng Cao, Quan Chen, Han Li, Di Dong, Peng Jiang:
Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation. CoRR abs/2405.06948 (2024) - [i46]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) - [i45]Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang:
Modeling User Retention through Generative Flow Networks. CoRR abs/2406.06043 (2024) - [i44]Wenhui Yu, Chao Feng, Yanze Zhang, Lantao Hu, Peng Jiang, Han Li:
IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling. CoRR abs/2406.09742 (2024) - [i43]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) - [i42]Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR abs/2407.10184 (2024) - [i41]Xiaowan Hu, Yiyi Chen, Yan Li, Minquan Wang, Haoqian Wang, Quan Chen, Han Li, Peng Jiang:
Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval. CoRR abs/2407.16248 (2024) - [i40]Ruixiang Zhao, Jian Jia, Yan Li, Xuehan Bai, Quan Chen, Han Li, Peng Jiang, Xirong Li:
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval. CoRR abs/2408.02978 (2024) - [i39]Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang:
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. CoRR abs/2408.12470 (2024) - [i38]Jingyu Liu, Minquan Wang, Ye Ma, Bo Wang, Aozhu Chen, Quan Chen, Peng Jiang, Xirong Li:
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching. CoRR abs/2408.13226 (2024) - [i37]Zijie Xin, Minquan Wang, Ye Ma, Bo Wang, Quan Chen, Peng Jiang, Xirong Li:
Video to Music Moment Retrieval. CoRR abs/2408.16990 (2024) - 2023
- [j13]Senlin Yang
Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j12]Bin Liu
Physics-Driven Deep Learning Inversion for Direct Current Resistivity Survey Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j11]Hanchi Liu, Jing Wang, Jiaqi Zhang, Haonan Jiang, Jing Xu
Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [c43]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 - [c42]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 - [c41]Shuchang Liu
Generative Flow Network for Listwise Recommendation. KDD 2023: 1524-1534 - [c40]Wanqi Xue
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD 2023: 2874-2884 - [c39]Xiao Lin
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. KDD 2023: 4497-4506 - [c38]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 - [c37]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 - [c36]Chongming Gao
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR 2023: 238-248 - [c35]Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. SIGIR 2023: 269-278 - [c34]Yuan Zhang
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. WWW (Companion Volume) 2023: 366-370 - [c33]Weiqi Zhao
Disentangled Causal Embedding With Contrastive Learning For Recommender System. WWW (Companion Volume) 2023: 406-410 - [c32]Qingpeng Cai
Reinforcing User Retention in a Billion Scale Short Video Recommender System. WWW (Companion Volume) 2023: 421-426 - [c31]Shuchang Liu
Exploration and Regularization of the Latent Action Space in Recommendation. WWW 2023: 833-844 - [c30]Qingpeng Cai
Two-Stage Constrained Actor-Critic for Short Video Recommendation. WWW 2023: 865-875 - [c29]Ziru Liu
Multi-Task Recommendations with Reinforcement Learning. WWW 2023: 1273-1282 - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang:
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. CoRR abs/2306.03392 (2023) - [i28]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) - [i27]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR abs/2307.04571 (2023) - [i26]Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. CoRR abs/2307.08259 (2023) - [i25]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) - [i24]Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang:
Discrete Conditional Diffusion for Reranking in Recommendation. CoRR abs/2308.06982 (2023) - [i23]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) - [i22]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) - 2022
- [j10]Bin Liu
Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Jing Wang, Hanchi Liu, Peng Jiang
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [c28]Chongming Gao, Shijun Li
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550 - [c27]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: 3103-3112 - [c26]Chongming Gao, Shijun Li
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM 2022: 3953-3957 - [c25]Jiayin Wang
Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. KDD 2022: 1868-1877 - [c24]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 - [c23]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. WWW 2022: 2310-2319 - [i21]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. CoRR abs/2201.12585 (2022) - [i20]Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022) - [i19]Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR abs/2204.01266 (2022) - [i18]Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang:
Constrained Reinforcement Learning for Short Video Recommendation. CoRR abs/2205.13248 (2022) - [i17]Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An:
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. CoRR abs/2206.02620 (2022) - [i16]Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang:
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. CoRR abs/2206.06003 (2022) - [i15]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR abs/2208.08696 (2022) - [i14]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang:
Real-time Short Video Recommendation on Mobile Devices. CoRR abs/2208.09577 (2022) - [i13]Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An:
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. CoRR abs/2212.02779 (2022) - 2021
- [j8]Yuxiao Ren
Building Complex Seismic Velocity Models for Deep Learning Inversion. IEEE Access 9: 63767-63778 (2021) - [j7]Jing Wang, Kefu Chen, Hanchi Liu, Jiaqi Zhang, Wenqiang Kang, Shufan Li, Peng Jiang
Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images. IEEE Access 9: 87207-87218 (2021) - [j6]Bin Liu
GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings. IEEE Trans. Geosci. Remote. Sens. 59(10): 8305-8325 (2021) - [j5]Shijun Li
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. ACM Trans. Inf. Syst. 39(4): 40:1-40:29 (2021) - [c22]Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu, Anthony G. Cohn:
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. ICCV 2021: 7396-7405 - [i12]Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu, Anthony G. Cohn:
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. CoRR abs/2102.09896 (2021) - [i11]Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu:
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR abs/2108.09076 (2021) - 2020
- [j4]Shucai Li, Bin Liu
Deep-Learning Inversion of Seismic Data. IEEE Trans. Geosci. Remote. Sens. 58(3): 2135-2149 (2020) - [j3]Bin Liu
Deep Learning Inversion of Electrical Resistivity Data. IEEE Trans. Geosci. Remote. Sens. 58(8): 5715-5728 (2020) - [i10]Senlin Yang, Zhengfang Wang, Jing Wang, Anthony G. Cohn, Jiaqi Zhang, Peng Jiang, Lichao Nie, Qingmei Sui:
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network. CoRR abs/2003.13120 (2020) - [i9]Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. CoRR abs/2005.12979 (2020)
2010 – 2019
- 2019
- [j2]Yanan Dong, Jing Wang, Zhengfang Wang
A Deep-Learning-Based Multiple Defect Detection Method for Tunnel Lining Damages. IEEE Access 7: 182643-182657 (2019) - [c21]Fei Sun
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM 2019: 1441-1450 - [c20]Changhua Pei, Yi Zhang
Personalized re-ranking for recommendation. RecSys 2019: 3-11 - [c19]Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang
A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. RecSys 2019: 20-28 - [c18]Tianshu Lyu, Fei Sun
Compositional network embedding for link prediction. RecSys 2019: 388-392 - [c17]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforcement Profit Maximization. WWW 2019: 3123-3129 - [i8]Shucai Li, Bin Liu, Yuxiao Ren, Yangkang Chen, Senlin Yang, Yunhai Wang, Peng Jiang:
Deep learning Inversion of Seismic Data. CoRR abs/1901.07733 (2019) - [i7]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. CoRR abs/1902.00851 (2019) - [i6]Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Lanbo Liu, Peng Jiang:
Deep Learning Inversion of Electrical Resistivity Data. CoRR abs/1904.05265 (2019) - [i5]Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CoRR abs/1904.06690 (2019) - [i4]Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei:
Personalized Context-aware Re-ranking for E-commerce Recommender Systems. CoRR abs/1904.06813 (2019) - [i3]Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang:
Compositional Network Embedding. CoRR abs/1904.08157 (2019) - [i2]Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang:
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining. CoRR abs/1912.05759 (2019) - 2018
- [c16]Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. CIKM 2018: 7-16 - [c15]Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. CIKM 2018: 1703-1706 - [c14]Peng Jiang, Fanglin Gu, Yunhai Wang, Changhe Tu, Baoquan Chen:
DifNet: Semantic Segmentation by Diffusion Networks. NeurIPS 2018: 1637-1646 - [i1]Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. CoRR abs/1808.06885 (2018) - 2015
- [c13]Peng Jiang, Yadong Zhu, Yi Zhang
Life-stage Prediction for Product Recommendation in E-commerce. KDD 2015: 1879-1888 - 2013
- [c12]Hongping Fu, Zhendong Niu
Classification of Opinion Questions. ECIR 2013: 714-717 - [c11]Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu
Extracting Fine-Grained Entities Based on Coordinate Graph. NLDB 2013: 367-371 - [c10]Peng Jiang, Huiman Hou, Lijiang Chen, Shimin Chen, Conglei Yao, Chengkai Li, Min Wang:
Wiki3C: exploiting wikipedia for context-aware concept categorization. WSDM 2013: 345-354 - 2012
- [j1]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu:
A Relation Pattern-Driven Probability Model for Related Entity Retrieval. Int. J. Knowl. Syst. Sci. 3(1): 64-77 (2012) - [c9]Chunxia Zhang, Zhendong Niu
Domain-specific term extraction from free texts. FSKD 2012: 1290-1293 - 2011
- [c8]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu
A Probability Model for Related Entity Retrieval Using Relation Pattern. KSEM 2011: 318-330 - 2010
- [c7]Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu
An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews. ICDM 2010: 256-265 - [c6]Peng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model. PAKDD (2) 2010: 249-260 - [c5]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu:
BIT at TREC 2010 Blog Track: Faceted Blog Distillation. TREC 2010 - [c4]Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu:
Reconstruct Logical Hierarchical Sitemap for Related Entity Finding. TREC 2010
2000 – 2009
- 2009
- [c3]Peng Jiang, Chunxia Zhang, Guisuo Guo, Zhendong Niu, Dongping Gao:
A K-means Approach Based on Concept Hierarchical Tree for Search Results Clustering. FSKD (1) 2009: 380-386 - [c2]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu:
BIT at TREC 2009 Faceted Blog Distillation Task. TREC 2009 - [c1]Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu:
Experiments on Related Entity Finding Track at TREC 2009. TREC 2009
Coauthor Index
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