Publications (19)
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
Ling Team, Bin Han, Caizhi Tang +25
In this technical report, we present the Ring-linear model series, specifically including Ring-mini-linear-2.0 and Ring-flash-linear-2.0. Ring-mini-linear-2.0 comprises 16B paramet…
Self-supervised Learning for Label Sparsity in Computational Drug Repositioning
Xinxing Yang, Genke Yang, Jian Chu
The computational drug repositioning aims to discover new uses for marketed drugs, which can accelerate the drug development process and play an important role in the existing drug…
The Neural Metric Factorization for Computational Drug Repositioning
Xinxing Yang, Genke Yangand Jian Chu
Computational drug repositioning aims to discover new therapeutic diseases for marketed drugs and has the advantages of low cost, short development cycle, and high controllability…
GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction
Xinxing Yang, Genke Yang, Jian Chu
Drug-target binding affinity prediction plays an important role in the early stages of drug discovery, which can infer the strength of interactions between new drugs and new target…
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Qitao Shi, Ya-Lin Zhang, Longfei Li +3
Machine learning techniques have been widely applied in Internet companies for various tasks, acting as an essential driving force, and feature engineering has been generally recog…
Hybrid Attentional Memory Network for Computational drug repositioning
Jieyue He, Xinxing Yang, Zhuo Gong +1
Drug repositioning is designed to discover new uses of known drugs, which is an important and efficient method of drug discovery. Researchers only use one certain type of Collabora…
ALT: An Automatic System for Long Tail Scenario Modeling
Ya-Lin Zhang, Jun Zhou, Yankun Ren +5
In this paper, we consider the problem of long tail scenario modeling with budget limitation, i.e., insufficient human resources for model training stage and limited time and compu…
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance
Cen Chen, Chen Liang, Jianbin Lin +7
The insurance industry has been creating innovative products around the emerging online shopping activities. Such e-commerce insurance is designed to protect buyers from potential…
Histopathology-centered Computational Evolution of Spatial Omics: Integration, Mapping, and Foundation Models
Ninghui Hao, Xinxing Yang, Boshen Yan +7
Spatial omics (SO) technologies enable spatially resolved molecular profiling, while hematoxylin and eosin (H&E) imaging remains the gold standard for morphological assessment in c…
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
Feng Zhu, Mingjie Zhong, Xinxing Yang +8
In recommendation scenarios, there are two long-standing challenges, i.e., selection bias and data sparsity, which lead to a significant drop in prediction accuracy for both Click-…
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial
Shaosheng Cao, Xinxing Yang, Cen Chen +3
With the explosive growth of e-commerce and the booming of e-payment, detecting online transaction fraud in real time has become increasingly important to Fintech business. To tack…
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
Ling Team, Bin Hu, Cai Chen +43
We present Ring-lite, a Mixture-of-Experts (MoE)-based large language model optimized via reinforcement learning (RL) to achieve efficient and robust reasoning capabilities. Built…
The Computational Drug Repositioning without Negative Sampling
Xinxing Yang, Genke Yang, Jian Chu
Computational drug repositioning technology is an effective tool to accelerate drug development. Although this technique has been widely used and successful in recent decades, many…
PHA-Net: Prototype-based Hierarchical Alignment Network for Text-Video Retrieval
Xiaolun Jing, Kezhao Yin, Xinxing Yang +2
With the emergence of large-scale image-text pre-training models, e.g., CLIP, text-video retrieval has experienced substantial advances in recent years. Existing best-performing me…
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…
The Balanced Matrix Factorization for Computational Drug Repositioning
Xinxing Yang, Genke Yang, Jian Chu
Computational drug repositioning aims to discover new uses of drugs that have been marketed. However, the existing models suffer from the following limitations. Firstly, in the rea…
Heterogeneous Graph Neural Networks for Malicious Account Detection
Ziqi Liu, Chaochao Chen, Xinxing Yang +3
We present, GEM, the first heterogeneous graph neural network approach for detecting malicious accounts at Alipay, one of the world's leading mobile cashless payment platform. Our…
ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction
Xinxing Yang, Jiachen Li, Xiao Kang +4
Drug combination refers to the use of two or more drugs to treat a specific disease at the same time. It is currently the mainstream way to treat complex diseases. Compared with si…
Text-Video Retrieval With Global-Local Contrastive Consistency Learning
Xiaolun Jing, Xinxing Yang, Genke Yang
Text-video retrieval aims to find the most semantically similar videos with given text queries. However, since videos contain more diverse content than texts, the main semantics ex…