Jie Jiang

According to our database, Jie Jiang authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.

Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning.

Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation.

Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised Cross-Modal Hashing With Modality-Interaction.

Rong-Cheng Tu, Jie Jiang, Qinghong Lin, Chengfei Cai, Shangxuan Tian, Hongfa Wang, Wei Liu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Pareto-based Multi-Objective Recommender System with Forgetting Curve.

Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li, Xiaofeng Gao, Xiongwei Yang, Lei Xiao, Jie Jiang

CoRR, 2023

On the Embedding Collapse when Scaling up Recommendation Models.

Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

CoRR, 2023

Temporal Interest Network for Click-Through Rate Prediction.

Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen

CoRR, 2023

Global and Local Semantic Completion Learning for Vision-Language Pre-training.

Rong-Cheng Tu, Yatai Ji, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

CoRR, 2023

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning.

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

CoRR, 2023

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning.

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision.

Mengyin Liu, Jie Jiang, Chao Zhu, Xu-Cheng Yin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning.

Yatai Ji, Rongcheng Tu, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards In-distribution Compatibility in Out-of-distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CoRR, 2022

DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection.

Jingyu Lin, Jie Jiang, Yan Yan, Chunchao Guo, Hongfa Wang, Wei Liu, Hanzi Wang

CoRR, 2022

Tencent AVS: A Holistic Ads Video Dataset for Multi-Modal Scene Segmentation.

Jie Jiang, Zhimin Li, Jiangfeng Xiong, Rongwei Quan, Qinglin Lu, Wei Liu

IEEE Access, 2022

AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling.

Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang

Proceedings of the IEEE International Conference on Data Mining, 2022

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising.

Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2017

TencentBoost: A Gradient Boosting Tree System with Parameter Server.

Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

TeslaML: Steering Machine Learning Automatically in Tencent.

Jiawei Jiang, Ming Huang, Jie Jiang, Bin Cui

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm.

Bin Cui, Jie Jiang, Quanlong Huang, Ying Xu, Yanjun Gui, Wenyu Zhang

Data Sci. Eng., 2016

Real-time Video Recommendation Exploration.

Yanxiang Huang, Bin Cui, Jie Jiang, Kunqian Hong, Wenyu Zhang, Yiran Xie

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

TencentRec: Real-time Stream Recommendation in Practice.

Yanxiang Huang, Bin Cui, Wenyu Zhang, Jie Jiang, Ying Xu

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Image Feature Learning for Cold Start Problem in Display Advertising.

Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015