Image Feature Learning for Cold Start Problem in Display Advertising. - Kaixiang Mo; Bo Liu 015; Lei Xiao; Yong Li 038; Jie Jiang 015 (IJCAI, 2015)

TencentRec: Real-time Stream Recommendation in Practice. - Yanxiang Huang; Bin Cui 001; Wenyu Zhang; Jie Jiang 015; Ying Xu (SIGMOD Conference, 2015)

Collaborative Evolution for User Profiling in Recommender Systems. - Zhongqi Lu; Sinno Jialin Pan; Yong Li 038; Jie Jiang 015; Qiang Yang 001 (IJCAI, 2016)

Real-time Video Recommendation Exploration. - Yanxiang Huang; Bin Cui 001; Jie Jiang 015; Kunqian Hong; Wenyu Zhang; Yiran Xie (SIGMOD Conference, 2016)

POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm. - Bin Cui 001; Jie Jiang 015; Quanlong Huang; Ying Xu; Yanjun Gui; Wenyu Zhang (Data Sci. Eng., 2016)

TeslaML: Steering Machine Learning Automatically in Tencent. - Jiawei Jiang 001; Ming Huang; Jie Jiang 015; Bin Cui 001 (APWeb/WAIM (2), 2017)

TencentBoost: A Gradient Boosting Tree System with Parameter Server. - Jie Jiang 015; Jiawei Jiang 001; Bin Cui 001; Ce Zhang 001 (ICDE, 2017)

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. - Yuyao Guo; Haoming Li 011; Xiang Ao 001; Min Lu; Dapeng Liu; Lei Xiao; Jie Jiang 015; Qing He 003 (CIKM, 2022)

AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. - Zuowu Zheng; Xiaofeng Gao 001; Junwei Pan; Qi Luo; Guihai Chen; Dapeng Liu; Jie Jiang 015 (ICDM, 2022)

Tencent AVS: A Holistic Ads Video Dataset for Multi-Modal Scene Segmentation. - Jie Jiang 015; Zhimin Li; Jiangfeng Xiong; Rongwei Quan; Qinglin Lu; Wei Liu 005 (IEEE Access, 2022)

DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection. - Jingyu Lin; Jie Jiang 015; Yan Yan 001; Chunchao Guo; Hongfa Wang; Wei Liu 005; Hanzi Wang (CoRR, 2022)

Towards In-distribution Compatibility in Out-of-distribution Detection. - Boxi Wu; Jie Jiang 015; Haidong Ren; Zifan Du; Wenxiao Wang 001; Zhifeng Li 001; Deng Cai 001; Xiaofei He 001; Binbin Lin; Wei Liu 005 (CoRR, 2022)

Towards In-Distribution Compatible Out-of-Distribution Detection. - Boxi Wu; Jie Jiang 015; Haidong Ren; Zifan Du; Wenxiao Wang 001; Zhifeng Li 001; Deng Cai 001; Xiaofei He 001; Binbin Lin; Wei Liu 005 (AAAI, 2023)

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. - Enneng Yang; Junwei Pan; Ximei Wang; Haibin Yu; Li Shen 008; Xihua Chen; Lei Xiao; Jie Jiang 015; Guibing Guo (AAAI, 2023)

Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning. - Yatai Ji; Rongcheng Tu; Jie Jiang 015; Weijie Kong; Chengfei Cai; Wenzhe Zhao; Hongfa Wang; Yujiu Yang; Wei Liu 005 (CVPR, 2023)

VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision. - Mengyin Liu; Jie Jiang 015; Chao Zhu 003; Xu-Cheng Yin (CVPR, 2023)

HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems. - Anran Xu; Shuo Yang 001; Shuai Li; Zhenzhe Zheng; LingLing Yao; Fan Wu 006; Guihai Chen; Jie Jiang 015 (DASFAA (2), 2023)

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (NeurIPS, 2023)

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (CoRR, 2023)

Global and Local Semantic Completion Learning for Vision-Language Pre-training. - Rong-Cheng Tu; Yatai Ji; Jie Jiang 015; Weijie Kong; Chengfei Cai; Wenzhe Zhao; Hongfa Wang; Yujiu Yang; Wei Liu 005 (CoRR, 2023)

Temporal Interest Network for Click-Through Rate Prediction. - Haolin Zhou; Junwei Pan; Xinyi Zhou 006; Xihua Chen; Jie Jiang 015; Xiaofeng Gao 001; Guihai Chen (CoRR, 2023)

Pareto-based Multi-Objective Recommender System with Forgetting Curve. - Jipeng Jin; Zhaoxiang Zhang 006; Zhiheng Li; Xiaofeng Gao 001; Xiongwei Yang; Lei Xiao; Jie Jiang 015 (CoRR, 2023)

Unsupervised Cross-Modal Hashing With Modality-Interaction. - Rong-Cheng Tu; Jie Jiang 015; Qinghong Lin; Chengfei Cai; Shangxuan Tian; Hongfa Wang; Wei Liu 005 (IEEE Trans. Circuits Syst. Video Technol., 2023)

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. - Liangcai Su; Junwei Pan; Ximei Wang; Xi Xiao; Shijie Quan; Xihua Chen; Jie Jiang 015 (AAAI, 2024)

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. - Ximei Wang; Junwei Pan; Xingzhuo Guo; Dapeng Liu; Jie Jiang 015 (AAAI, 2024)

Pareto-based Multi-Objective Recommender System with Forgetting Curve. - Jipeng Jin; Zhaoxiang Zhang 006; Zhiheng Li; Xiaofeng Gao 001; Xiongwen Yang; Lei Xiao; Jie Jiang 015 (CIKM, 2024)

MRFS: Mutually Reinforcing Image Fusion and Segmentation. - Hao Zhang 073; Xuhui Zuo; Jie Jiang 015; Chunchao Guo; Jiayi Ma 001 (CVPR, 2024)

On the Embedding Collapse when Scaling up Recommendation Models. - Xingzhuo Guo; Junwei Pan; Ximei Wang; Baixu Chen; Jie Jiang 015; Mingsheng Long (ICML, 2024)

Understanding the Ranking Loss for Recommendation with Sparse User Feedback. - Zhutian Lin; Junwei Pan; Shangyu Zhang; Ximei Wang; Xi Xiao; Shudong Huang; Lei Xiao; Jie Jiang 015 (KDD, 2024)

Ads Recommendation in a Collapsed and Entangled World. - Junwei Pan; Wei Xue; Ximei Wang; Haibin Yu; Xun Liu; Shijie Quan; Xueming Qiu; Dapeng Liu; Lei Xiao; Jie Jiang 015 (KDD, 2024)

Deep Pattern Network for Click-Through Rate Prediction. - Hengyu Zhang 001; Junwei Pan; Dapeng Liu; Jie Jiang 015; Xiu Li 001 (SIGIR, 2024)

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. - Xiaolin Lin; Jinwei Luo; Junwei Pan; Weike Pan; Zhong Ming 001; Xun Liu; Shudong Huang; Jie Jiang 015 (WSDM, 2024)

Temporal Interest Network for User Response Prediction. - Haolin Zhou; Junwei Pan; Xinyi Zhou 006; Xihua Chen; Jie Jiang 015; Xiaofeng Gao 001; Guihai Chen (WWW (Companion Volume), 2024)

Ad Recommendation in a Collapsed and Entangled World. - Junwei Pan; Wei Xue; Ximei Wang; Haibin Yu; Xun Liu; Shijie Quan; Xueming Qiu; Dapeng Liu; Lei Xiao; Jie Jiang 015 (CoRR, 2024)

Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. - Zhutian Lin; Junwei Pan; Haibin Yu; Xi Xiao; Ximei Wang; Zhixiang Feng; Shifeng Wen; Shudong Huang; Lei Xiao; Jie Jiang 015 (CoRR, 2024)

Towards Scalable Semantic Representation for Recommendation. - Taolin Zhang 003; Junwei Pan; Jinpeng Wang 002; Yaohua Zha; Tao Dai 001; Bin Chen 011; Ruisheng Luo; Xiaoxiang Deng; Yuan Wang; Ming Yue; Jie Jiang 015; Shu-Tao Xia (CoRR, 2024)

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. - Jie Jiang 015; Haining Xie; Yu Shen 003; Zihan Zhang; Meng Lei; Yifeng Zheng; Yide Fang; Chunyou Li; Danqing Huang; Wentao Zhang 001; Yang Li 106; Xiaofeng Yang; et al. (CoRR, 2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Xiangyu Zhao 001; Pengyue Jia; Wanyu Wang; Yuan Wang; Yue Liu 008; Dapeng Liu; Jie Jiang 015 (CoRR, 2024)

Demystifying Workload Imbalances in Large Transformer Model Training over Variable-length Sequences. - Haoyang Li; Fangcheng Fu; Sheng Lin; Hao Ge; Xuanyu Wang; Jiawen Niu; Jie Jiang 015; Bin Cui 001 (CoRR, 2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings. - Ningya Feng; Junwei Pan; Jialong Wu 001; Baixu Chen; Ximei Wang; Qian Li 016; Xian Hu; Jie Jiang 015; Mingsheng Long (ICLR, 2025)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Pengyue Jia; Wanyu Wang; Maolin Wang 001; Zhixiang Feng; Xiaotian Li; Jie Jiang 015; Xiangyu Zhao 001 (SIGIR, 2025)

Computational Advertising: Recent Advances. - Junwei Pan; Zhilin Zhang 003; Han Zhu 001; Jian Xu 015; Jie Jiang 015; Bo Zheng 007 (WWW (Companion Volume), 2025)

Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions With Multi-Level Representations. - Jie Jiang 015; Shaobo Min; Weijie Kong; Hongfa Wang; Zhifeng Li 001; Wei Liu 005 (IEEE Access, 2025)

Cps-STS: Bridging the Gap Between Content and Position for Coarse-Point-Supervised Scene Text Spotter. - Weida Chen; Jie Jiang 015; Linfei Wang; Huafeng Li; Yibing Zhan; Dapeng Tao (IEEE Trans. Multim., 2025)

Seed to Prune: A Seeded Graph Neural Network for Two-View Correspondence Learning. - Zizhuo Li; Jie Jiang 015; Jiayi Ma 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Large Foundation Model for Ads Recommendation. - Shangyu Zhang; Shijie Quan; Zhongren Wang 003; Junwei Pan; Tianqu Zhuang; Bo Fu; Yilong Sun; Jieying Lin; Jushuo Chen; Xiaotian Li; Zhixiang Feng; Xian Hu; et al. (CoRR, 2025)