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papers

Publications (165)

cs.CL2025

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

Lin Yuan, Jun Xu, Honghao Gui +4

cs.CL2025

K-ON: Stacking Knowledge On the Head Layer of Large Language Model

Lingbing Guo, Yichi Zhang, Zhongpu Bo +5

cs.CV2019

Real-Time Semantic Segmentation via Multiply Spatial Fusion Network

Haiyang Si, Zhiqiang Zhang, Feifan Lv +2

cs.CL2026

MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics

Jiapeng Wang, Changxin Tian, Kunlong Chen +5

physics.med-ph2012

Identifying Brain Image Level Endophenotypes in Epilepsy

Wei Cheng, Xuejuan Zhang, Ge Tian +4

cs.LG2022

KGNN: Distributed Framework for Graph Neural Knowledge Representation

Binbin Hu, Zhiyang Hu, Zhiqiang Zhang +2

cs.CL2025

Enhancing Cross-task Transfer of Large Language Models via Activation Steering

Xinyu Tang, Zhihao Lv, Xiaoxue Cheng +5

q-fin.ST2024

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction

Hao Qian, Hongting Zhou, Qian Zhao +7

cs.AI2025

Unveiling the Potential of Text in High-Dimensional Time Series Forecasting

Xin Zhou, Weiqing Wang, Shilin Qu +2

cs.LG2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation

Ke Tu, Peng Cui, Daixin Wang +4

cs.SE2026

CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling

Kaixin Wang, Tianlin Li, Xiaoyu Zhang +6

cs.CV2026

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Shuhong Liu, Chenyu Bao, Ziteng Cui +103

cs.CL2025

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models

Jing Yu, Yuqi Tang, Kehua Feng +8

cs.LG2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce

Borui Ye, Shuo Yang, Binbin Hu +5

cs.LG2026

Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration

Yan Sun, Jia Guo, Stanley Kok +3

cs.CV2025

Knowledge Augmentation via Synthetic Data: A Framework for Real-World ECG Image Classification

Xiaoyu Wang, Ramesh Nadarajah, Zhiqiang Zhang +1

cs.IR2022

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space

Yupeng Hou, Binbin Hu, Zhiqiang Zhang +1

cs.IR2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Jin Chen, Tiezheng Ge, Gangwei Jiang +3

cs.CL2023

Description-Enhanced Label Embedding Contrastive Learning for Text Classification

Kun Zhang, Le Wu, Guangyi Lv +6

cs.CV2023

BATINet: Background-Aware Text to Image Synthesis and Manipulation Network

Ryugo Morita, Zhiqiang Zhang, Jinjia Zhou

cs.LG2025

Relation-Aware Graph Foundation Model

Jianxiang Yu, Jiapeng Zhu, Hao Qian +3

cs.CL2025

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System

Yujie Luo, Xiangyuan Ru, Kangwei Liu +10

eess.SP2025

Physics-Embedded Neural Networks for sEMG-based Continuous Motion Estimation

Wending Heng, Chaoyuan Liang, Yihui Zhao +3

cs.CL2025

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models

Jiazheng Li, Lu Yu, Qing Cui +4

cs.SI2025

Masked Language Models are Good Heterogeneous Graph Generalizers

Jinyu Yang, Cheng Yang, Shanyuan Cui +5

cs.CL2025

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs

Ling Team, Bin Hu, Cai Chen +43

cs.AI2026

SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research

Pu Ning, Quan Chen, Kun Tao +7

cond-mat.mtrl-sci2010

Evolution of the Surface Structures on SrTiO$_3$(110) Tuned by Ti or Sr Concentration

Zhiming Wang, Fang Yang, Zhiqiang Zhang +5

cs.IR2023

COUPA: An Industrial Recommender System for Online to Offline Service Platforms

Sicong Xie, Binbin Hu, Fengze Li +4

cs.LG2023

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning

Weifan Wang, Binbin Hu, Zhicheng Peng +5

eess.SP2022

Physics-informed Deep Learning for Musculoskeletal Modelling: Predicting Muscle Forces and Joint Kinematics from Surface EMG

Jie Zhang, Yihui Zhao, Fergus Shone +4

cs.CL2024

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation

Lei Liang, Mengshu Sun, Zhengke Gui +16

cs.LG2024

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Chunjing Gan, Dan Yang, Binbin Hu +9

eess.SP2023

A Physics-Informed Low-Shot Learning For sEMG-Based Estimation of Muscle Force and Joint Kinematics

Yue Shi, Shuhao Ma, Yihui Zhao +1

physics.atom-ph2020

Precision measurements on the $^{138}$Ba$^+$ $6s^2S_{1/2}-5d^2D_{5/2}$ clock transition

Kyle J. Arnold, Rattakorn Kaewuam, Sapam R. Chanu +3

cs.CL2024

ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models

Jun Xu, Mengshu Sun, Zhiqiang Zhang +1

cs.IR2024

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Yuling Wang, Changxin Tian, Binbin Hu +6

cs.CL2025

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning

Yanjun Zheng, Xiyang Du, Longfei Liao +10

cs.LG2025

BOSE: A Systematic Evaluation Method Optimized for Base Models

Hongzhi Luan, Changxin Tian, Zhaoxin Huan +4

cs.IR2025

Non-autoregressive Generative Models for Reranking Recommendation

Yuxin Ren, Qiya Yang, Yichun Wu +3

cs.CV2025

NOTA: Multimodal Music Notation Understanding for Visual Large Language Model

Mingni Tang, Jiajia Li, Lu Yang +5

cs.LG2024

Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven

Dandan Zhang, Zhiqiang Zhang, Nanguang Chen +1

cs.AI2026

Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe

Qian Zhao, Kunlong Chen, Changxin Tian +9

cs.CV2018

Semantic Human Matting

Quan Chen, Tiezheng Ge, Yanyu Xu +3

cs.AI2026

RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library

Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang +2

cs.CL2025

Stick to Facts: Towards Fidelity-oriented Product Description Generation

Zhangming Chan, Xiuying Chen, Yongliang Wang +5

cs.LG2025

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

Xinyu Tang, Zhenduo Zhang, Yurou Liu +4

cs.CL2025

Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation

Zhouyu Jiang, Mengshu Sun, Zhiqiang Zhang +1

cs.AI2025

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation

Chunjing Gan, Dan Yang, Binbin Hu +6

cs.CL2026

Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

Xinyu Tang, Qianggang Cao, Yurou Liu +13

The paper introduces a training pipeline that scales zero‑reinforcement‑learning to a trillion‑parameter language model, revealing emergent chain‑of‑thought reasoning abilities and…

#zero-shot reinforcement learning#large language models#chain-of-thought reasoning#scaling laws
cs.LG2025

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

Boxin Zhao, Lingxiao Wang, Ziqi Liu +4

cs.LG2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift

Hongrui Liu, Binbin Hu, Xiao Wang +3

cs.MM2021

Real-time FPGA Design for OMP Targeting 8K Image Reconstruction

Jiayao Xu, Chen Fu, Zhiqiang Zhang +1

cs.LG2020

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay

Jianbin Lin, Zhiqiang Zhang, Jun Zhou +5

cs.LG2024

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data

Binbin Hu, Zhicheng An, Zhengwei Wu +6

cs.AI2026

HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs

Yu Hao, Jinxuan Cai, Qi Zhang +4

cs.LG2025

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification

Zhixun Li, Dingshuo Chen, Tong Zhao +5

cs.LG2025

Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Ling Team, Binwei Zeng, Chao Huang +71

cs.CV2024

KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for autonomous driving

Zhihao Lai, Chuanhao Liu, Shihui Sheng +1

cs.LG2023

Who Would be Interested in Services? An Entity Graph Learning System for User Targeting

Dan Yang, Binbin Hu, Xiaoyan Yang +4

cs.LG2025

Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph

Jingwei Wang, Zai Zhang, Hao Qian +7

cs.LG2020

Bandit Samplers for Training Graph Neural Networks

Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang +4

physics.atom-ph2019

Suppressing inhomogeneous broadening in a lutetium multi-ion optical clock

Ting Rei Tan, Rattakorn Kaewuam, Kyle J. Arnold +4

quant-ph2019

Hyperfine averaging by dynamic decoupling in a multi-ion lutetium clock

R. Kaewuam, T. R. Tan, K. J. Arnold +3

cs.SI2020

DSSLP: A Distributed Framework for Semi-supervised Link Prediction

Dalong Zhang, Xianzheng Song, Ziqi Liu +4

cs.CL2025

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Xinyu Tang, Xiaolei Wang, Zhihao Lv +5

eess.SP2020

A CNN-LSTM Hybrid Framework for Wrist Kinematics Estimation Using Surface Electromyography

Tianzhe Bao, Syed Ali Raza Zaidi, Shengquan Xie +2

cs.LG2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks

Beini Xie, Heng Chang, Ziwei Zhang +5

cs.AI2026

The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?

Xinyu Lu, Tianshu Wang, Pengbo Wang +8

physics.atom-ph2020

Magic wavelength of the $^{138}$Ba$^+$ $6s\;{}^2S_{1/2}-5d\;{}^2D_{5/2}$ clock transition

S. R. Chanu, V. P. W. Koh, K. J. Arnold +5

cs.CL2025

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training

Changxin Tian, Jiapeng Wang, Qian Zhao +7

cs.LG2024

Your decision path does matter in pre-training industrial recommenders with multi-source behaviors

Chunjing Gan, Binbin Hu, Bo Huang +5

cond-mat.mtrl-sci2022

Predicting band gaps and band-edge positions of oxide perovskites using DFT and machine learning

Wei Li, Zigeng Wang, Xia Xiao +4

q-fin.RM2024

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning

Daixin Wang, Zhiqiang Zhang, Yeyu Zhao +3

cs.CL2025

Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation

Ling Team, Ang Li, Ben Liu +138

cs.LG2025

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications

Chunjing Gan, Dan Yang, Binbin Hu +5

cs.LG2026

Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design

Junzhuo Li, Peijie Jiang, Changxin Tian +3

cs.CL2024

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks

Yichi Zhang, Binbin Hu, Zhuo Chen +6

eess.IV2024

Dual Inverse Degradation Network for Real-World SDRTV-to-HDRTV Conversion

Kepeng Xu, Li Xu, Gang He +4

cs.CL2024

MKGL: Mastery of a Three-Word Language

Lingbing Guo, Zhongpu Bo, Zhuo Chen +10

cs.LG2024

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement

Yakun Wang, Daixin Wang, Hongrui Liu +4

cs.CC2010

On the parity complexity measures of Boolean functions

Zhiqiang Zhang, Yaoyun Shi

cs.CV2018

Cascaded Pyramid Network for Multi-Person Pose Estimation

Yilun Chen, Zhicheng Wang, Yuxiang Peng +3

cs.LG2026

When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards

Mingyuan Fan, Weiguang Han, Daixin Wang +3

quant-ph2008

Communication Complexities of XOR functions

Yaoyun Shi, Zhiqiang Zhang

cs.DC2026

TileLoom: Automatic Dataflow Planning for Tile-Based Languages on Spatial Dataflow Accelerators

Wei Li, Zhenyu Bai, Heru Wang +6

cs.IR2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

Kai Zhang, Hao Qian, Qi Liu +4

stat.ML2019

Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder

Yuchi Zhang, Yongliang Wang, Liping Zhang +2

cs.CL2025

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations

Junze Chen, Cheng Yang, Shujie Li +4

cs.IR2024

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation

Shaowei Wei, Zhengwei Wu, Xin Li +5

cs.SI2020

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing

Ziqi Liu, Dong Wang, Qianyu Yu +8

cs.CL2025

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness

Sirui Chen, Changxin Tian, Binbin Hu +4

cs.CL2024

RJUA-QA: A Comprehensive QA Dataset for Urology

Shiwei Lyu, Chenfei Chi, Hongbo Cai +14

cs.IR2023

Improving Recommendation Fairness via Data Augmentation

Lei Chen, Le Wu, Kun Zhang +5

cs.AI2025

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning

Xiaoxue Cheng, Junyi Li, Zhenduo Zhang +4

cs.LG2026

MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging

Jiapeng Wang, Changxin Tian, Kunlong Chen +5

hep-th2023

Topological black holes in Einstein-Maxwell and 4D conformal gravities revisited

Tao Wang, Zhiqiang Zhang, Xiangqing Kong +1

cs.CL2025

MAQInstruct: Instruction-based Unified Event Relation Extraction

Jun Xu, Mengshu Sun, Zhiqiang Zhang +1

cs.IR2021

Automated Creative Optimization for E-Commerce Advertising

Jin Chen, Ju Xu, Gangwei Jiang +4

cs.CL2024

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm

Lei Liu, Xiaoyan Yang, Fangzhou Li +10