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TA

Tmall Group of Alibaba)

AAAI 2026×2SIGIR 2026×2ACL 2026CCS 2026ICML 2026KDD 2026检索与知识强化学习与后训练可解释性效率与系统社会与人本
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核心/参与40
方向广度19
合作网络12
1 一作 · 8 篇 · AAAI 2026 / SIGIR 2026 / ACL 2026 / CCS 2026 / ICML 2026 / KDD 2026

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2026 顶会论文

8
一作ICML 2026Poster· Social Aspects / Robustness

Geometric Rate–Distortion Invariance for Domain Generalization

Tmall Group of Alibaba) · Sen Liang · Shuo Bai

社会与人本理论与学习动力学OpenReview
作者位次 #5/6ACL 2026Findings· Findings of ACL

AFMRL : Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E -commerce

Biao Zhang · Lixin Chen · Bin Zhang · Wang Zongwei · Tmall Group of Alibaba) · Zerui Huang (Taobao &amp

摘要

Multimodal representation is crucial for E-commerce tasks such as identical product retrieval. Large representation models (e.g., VLM2Vec) demonstrate strong multimodal understanding capabilities, yet they struggle with fine-grained semantic comprehension, which is essential for distinguishing hi...

多模态强化学习与后训练可解释性OpenReview 项目页
作者位次 #4/12SIGIR 2026Poster· Information Retrieval (Short)

Equip Pre-ranking with Target Attention by Residual Quantization

Yutong Li (Taobao &amp · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Zerui Huang (Taobao &amp · Tmall Group of Alibaba) · Zerui Huang (Taobao &amp · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp · Zerui Huang (Taobao &amp · Shengjie Sun (Taobao &amp

摘要

The pre-ranking stage in industrial recommendation systems faces a fundamental conflict between efficiency and effectiveness. While powerful models like Target Attention (TA) excel at capturing complex feature interactions in the ranking stage, their high computational cost makes them infeasible...

效率与系统检索与知识代码OpenReview
作者位次 #4/4SIGIR 2026Poster· Information Retrieval (Industry)

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines

Chen Gao · Zixin Zhao · Zerui Huang (Taobao &amp · Tmall Group of Alibaba)

摘要

Click-Through Rate (CTR) prediction has long been dominated by discriminative paradigms that optimize local decision boundaries within candidate-specific subspaces. However, these models often fail to capture the global joint distribution and the continuous structural evolution of user intent acr...

数据与预训练推理对齐与偏好OpenReview
作者位次 #3/5AAAI 2026Poster· Artificial Intelligence

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems

Cai Xu · Xujing Wang · Tmall Group of Alibaba) · Wei Zhao · Meng Yan

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