王泳｜中国科学院大学｜学者主页

2026

TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents

Yibing Liu, Chong Zhang, Zhongyi Han, Hansong Liu, Yong Wang, Yang Yu, Xiaoyan Wang, Yilong Yin

arXiv preprint

2026

MAD: A Multimodal and Multi-perspective Affective Dataset with Hierarchical Annotations

Shengwei Guo, Yunqing Qiao, Wenzhan Zhang, Bo Liu, Yong Wang, Guobing Sun

arXiv preprint

2026

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models

Tianmeng Fang, Yong Wang, Zetai Kong, Zengzhen Su, Jun Wang, Chengjin Yu, Wei Wang

arXiv preprint

2026

Learning Agentic Policy from Action Guidance

Yuxiang Ji, Zengbin Wang, Yong Wang, Shidong Yang, Ziyu Ma, Guanhua Chen, Zonghua Sun, Liaoni Wu, Xiangxiang Chu

arXiv preprint

2026

Towards High-Resolution Visual Perception via Hierarchical Entity Exploration

Ziyu Ma, Shidong Yang, Yuxiang Ji, Yiming Hu, Tongwen Huang, Yong Wang, Jianfei Cai, Xiangxiang Chu

arXiv preprint

2026

Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention

Chaowen Yan, Kaishen Wang, Yong Wang, Jianlong Xiong, Tao He

arXiv preprint

2026

SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

Shidong Yang, Ziyu Ma, Tongwen Huang, Xucong Wang, Renda Li, Yiming Hu, Yong Wang, Xiangxiang Chu

arXiv preprint

2026

LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks

Ziyu Ma, Hailang Huang, Shun Zou, Yong Wang, Shidong Yang, Yiming Hu, Fei Wei, XiangXiang Chu

arXiv preprint

2026

EMIR$^2$: Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval

Jinlan Liu, Hongliang Sun, Yong Wang, Bolin Zhang, Dinabo Sui, Dianhui Chu, Zhiying Tu

arXiv preprint

2026

BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding

Hao Zhang, Yiming Hu, Yong Wang, Mingqiao Mo, Xin Xiao, Xiangxiang Chu

arXiv preprint

2026

Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models

Shidong Yang, Tongwen Huang, Hao Wen, Yong Wang, Li Chen, Xiangxiang Chu

arXiv preprint

2026

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning

Ru Zhang, Renda Li, Ziyu Ma, Weijie Qiu, Chongyang Tao, Yong Wang, Xiangxiang Chu

arXiv preprint

2026

SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering

Qingnan Ren, Shun Zou, Shiting Huang, Ziao Zhang, Kou Shi, Zhen Fang, Yiming Zhao, Yu Zeng, Qisheng Su, Lin Chen, Yong Wang, Zehui Chen, Xiangxiang Chu, Feng Zhao

arXiv preprint

2026

H-Node Attack and Defense in Large Language Models

Eric Yocam, Varghese Vaidyan, Yong Wang

arXiv preprint

2026

Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution

Xucong Wang, Ziyu Ma, Shidong Yang, Tongwen Huang, Pengkun Wang, Yong Wang, Xiangxiang Chu

arXiv preprint

2026

MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement

Xiaomi LLM-Core Team, :, Zongming Qiao, Ziyue Hua, Zirui Ou, Zihao Yue, Zihan Jiang, Zhuo Huang, Zhiyang Chen, Zhixian Zheng, Zhipeng Xu, Zhengrui Ma, Yuyang Hu, Yuhang Dong, Yuechen Zhang, Yudong Wang, Yuanxin Liu, Yixin Yang, Yishuo Cai, Yikai Zhao, Yihan Yan, Yifan Zhang, Yifan Song, Xiyu Wei, Xing Zhang, Xin Zhang, Xiaoqian Liu, Xiaodong Ji, Xiangwei Deng, Xueyu Guo, Wenhan Ma, Weimin Xiong, Weikun Wang, Weiji Zhuang, Shuo Liu, Shuhuai Ren, Shuhao Gu, Shimao Chen, Shijie Cao, Shihua Yu, Shicheng Li, Shengjie Zhou, Shaolei Zhang, Rang Li, Qiying Wang, Qingkai Fang, Qianli Chen, Minzheng Wang, Liwen Wang, Linli Yao, Linghao Zhang, Liangyu Cheng, Liang Zhao, Lei Li, Jinhao Dong, Jinyu Xiang, Jianyu Wei, Jiangshan Duo, Huaqiu Liu, Huanjie Fan, Hongyi Guan, Hongshen Xu, Hao Tian, Hanyu Li, Hailin Zhang, Gang Wang, Fuli Luo, Feng Wei, Dong Zhang, Dawei Zhu, Chiheng Lou, Chenhong He, Chenhao He, Chenghua Liu, Bowen Ye, Bowen Shen, Boshen Xu, Bo Yang, Bingquan Xia, Bangjun Xiao, Baixuan Xu, Zhouxiang Mao, Zhiyang Zhang, Zhixiang Xu, Zhenru Lin, Zhengju Tang, Zhaojun Huang, Yuzhe Weng, Yuxing Xiang, Yuxiao Li, Yuheng Yang, Yuhang Wang, Yuchen Liu, Yuanyuan Tian, Yuanliang Dong, Yu Cheng, Yongzhe He, Yongshun Liang, Yong Wang, Yiyan Wang, Yitian Gong, Yijie Zhang, Yanshu Xin, Xun Zhang, Xingjian Zhao, Wenyu Yang, Wenshan Huang, Wenhao Li, Tingwei Huang, Tianyu Yu, Tianyang Lu, Taoyu Yang, Sinan Du, Shutong Tian, Shulin Du, Shengfan Wang, Shanchuan Fang, Qihao Zhang, Qibin Yang, Qian Yu, Qian Tu, Pengrong Xie, Peipei Wang, Peidian Li, Minkun Guo, Mingchen Shao, Luohan Gao, Lijie Wang, Liang Shi, Kaiqi Chen, Kaiming Liu, Kaifei Wang, Kai Yang, Jinlong Xue, Jiechen Zhang, Jiaxuan Liu, Hongxu An, Hao Peng, Hanglong Lü, Guonan Wang, Feiyu Yang, Fanyu Cao, Fangyue Liu, Fan Cui, Cong Wang, Chun Chen, Chenxu Bai, Chengxuan Zhu, Chenghua Wang, Boyi Zeng

arXiv preprint

2026

Temporal Evidence Forests for Long-Horizon Multi-Party Conversational Memory

Junyou Guo, Chongyang Tao, Yan He, Yong Wang, Shuai Ma

arXiv preprint

2026

Implicit Action Chunking for Smooth Continuous Control

Bosun Liang, Shuo Pei, Zirui Chen, Chuanzhi Fan, Chen Sun, Yuankai Wu, Huachun Tan, Yong Wang

arXiv preprint

2026

Visually-Guided Policy Optimization for Multimodal Reasoning

Zengbin Wang, Feng Xiong, Liang Lin, Xuecai Hu, Yong Wang, Yanlin Wang, Man Zhang, Xiangxiang Chu

arXiv preprint

2026

A Graph Prompt Fine-Tuning Method for WSN Spatio-Temporal Correlation Anomaly Detection

Miao Ye, Jing Cui, Yuan huang, Qian He, Yong Wang, Jiwen Zhang

arXiv preprint

2026

Nip Rumors in the Bud: Retrieval-Guided Topic-Level Adaptation for Test-Time Fake News Video Detection

Jian Lang, Rongpei Hong, Ting Zhong, Yong Wang, Fan Zhou

arXiv preprint

2026

Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference

Qianyi Chen, Anpeng Wu, Bo Li, Lu Deng, Yong Wang

arXiv preprint

2026

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation

Yanqi Dai, Yuxiang Ji, Xiao Zhang, Yong Wang, Xiangxiang Chu, Zhiwu Lu

arXiv preprint

2026

AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models?

Liang Lin, Feng Xiong, Zengbin Wang, Kun Wang, Junhao Dong, Xuecai Hu, Yong Wang, Xiangxiang Chu

arXiv preprint

2026

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models

Eric Yocam, Varghese Vaidyan, Gurcan Comert, Paris Kalathas, Yong Wang, Judith L. Mwakalonge

arXiv preprint

2026

Proteus: Shapeshifting Desktop Visualizations for Mobile via Multi-level Intelligent Adaptation

Can Liu, Sizhe Cheng, Feng Liang, Zhibang Jiang, Lingru Huang, Kavinda Athapaththu, Yong Wang

arXiv preprint

2026

CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution

Shidong Yang, Ziyu Ma, Tongwen Huang, Yiming Hu, Yong Wang, Xiangxiang Chu

arXiv preprint

2026

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models

Shun Zou, Yong Wang, Zehui Chen, Lin Chen, Chongyang Tao, Feng Zhao, Xiangxiang Chu

arXiv preprint

2026

ManiScope: LLM-Assisted Visual Analytics of Cryptocurrency Manipulation Risk

Xiaolin Wen, Feng Liang, Yuanye Ma, Qishuang Fu, Zhengyu Sun, Feng Zhu, Can Liu, Yong Wang

arXiv preprint

2026

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning

Xucong Wang, Ziyu Ma, Yong Wang, Shidong Yang, Hailang Huang, Renda Li, Pengkun Wang, Xiangxiang Chu

arXiv preprint

2026

Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization

Jiayi Dan, Bo Li, Lu Deng, Yong Wang

arXiv preprint

2026

Towards Memory-Efficient Autoregressive Video Generation via Instance-Specific Parametric Absorption

Xiaomeng Fu, Jia Li, Yiming Hu, Yong Wang, Hayden Kwok-Hay So, Jiao Dai, Xiangxiang Chu, Jizhong Han

arXiv preprint

2026

KAT-Coder-V2 Technical Report

Fengxiang Li, Han Zhang, Haoyang Huang, Jinghui Wang, Jinhua Hao, Kun Yuan, Mengtong Li, Minglei Zhang, Pengcheng Xu, Wenhao Zhuang, Yizhen Shao, Zongxian Feng, Can Tang, Chao Wang, Chengxiao Tong, Fan Yang, Gang Xiong, Haixuan Gao, Han Gao, Hao Wang, Haochen Liu, Hongliang Sun, Jiabao Li, Jingwen Chang, Jun Du, Junyi Peng, Leizhen Cui, Meimei Jing, Mingqi Wu, Shangpeng Yan, Shaotong Qi, Suzhe Xu, Wenxuan Zhao, Xianda Sun, Xuan Xie, Yanbo Wang, Yao Xia, Yinghan Cui, Yingpeng Chen, Yong Wang, Yuze Shi, Zhiwei Shen, Ziyu Wang, Ming Sun, Lin Ye, Bin Chen

arXiv preprint

2026

Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models

Zengbin Wang, Xuecai Hu, Yong Wang, Feng Xiong, Man Zhang, Xiangxiang Chu

arXiv preprint

2026

Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization

Yuxiang Ji, Yong Wang, Ziyu Ma, Yiming Hu, Hailang Huang, Xuecai Hu, Guanhua Chen, Liaoni Wu, Xiangxiang Chu

arXiv preprint

2026

A Pragmatic VLA Foundation Model

Wei Wu, Fan Lu, Yunnan Wang, Shuai Yang, Shi Liu, Fangjing Wang, Qian Zhu, He Sun, Yong Wang, Shuailei Ma, Yiyu Ren, Kejia Zhang, Hui Yu, Jingmei Zhao, Shuai Zhou, Zhenqi Qiu, Houlong Xiong, Ziyu Wang, Zechen Wang, Ran Cheng, Yong-Lu Li, Yongtao Huang, Xing Zhu, Yujun Shen, Kecheng Zheng

arXiv preprint

2026

APPO: Agentic Procedural Policy Optimization

Xucong Wang, Ziyu Ma, Yong Wang, Yuxiang Ji, Shidong Yang, Guanhua Chen, Pengkun Wang, Xiangxiang Chu

arXiv preprint

2026

Debiasing as a Measurement Intervention: Calibrated Ties and Resolution Loss in LLM-as-a-Judge Evaluation

Liang Zhao, Yong Wang, Jiangzhe Chen

arXiv preprint

2026

Towards Unbiased On-Policy Distillation for Block Diffusion Language Models

Zaiquan Yang, Fei Wei, Yong Wang, Yudong Han, Yiyu Li, Zhuofan Zong, Gerhard Petrus Hancke, Xiangxiang Chu, Rynson WH Lau

arXiv preprint

2026

Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning

Yudong Han, Yong Wang, Zaiquan Yang, Liang Lin, Chongyang Tao, Xiangxiang Chu, Liyuan Pan

arXiv preprint

2026

From Foundation to Application: Improving VLA Models in Practice

Wei Wu, Fangjing Wang, Fan Lu, He Sun, Shi Liu, Yunnan Wang, Yibin Yan, Yong Wang, Shuailei Ma, Xinyang Wang, Yibin Liu, Shuai Yang, Tianxiang Zhou, Kejia Zhang, Lei Zhou, Cheng Su, Nan Xue, Bin Tan, Han Zhang, Youchao Zhang, Fei Liao, Xing Zhu, Yujun Shen, Kecheng Zheng

arXiv preprint

2026

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation

Zihan Su, Hongyang Wei, Kangrui Cen, Yong Wang, Guanhua Chen, Chun Yuan, Xiangxiang Chu

arXiv preprint

2026

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers

Jiancheng Wang, Lidan Liang, Yong Wang, Zengzhen Su, Haifeng Xia, Yuanting Yan, Wei Wang

arXiv preprint

2026

Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem

Zeguan Xiao, Siqing Li, Yong Wang, Xuetao Wei, Jian Yang, Yun Chen, Guanhua Chen

arXiv preprint

2026

Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution

Feng Xiong, Zengbin Wang, Yong Wang, Xuecai Hu, Jinghan He, Liang Lin, Yuan Liu, Xiangxiang Chu

arXiv preprint

2026

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning

Yudong Han, Yong Wang, Zaiquan Yang, Zhen Qu, Liyuan Pan, Xiangxiang Chu

arXiv preprint

2026

Safe and Stylized Trajectory Planning for Autonomous Driving via Diffusion Model

Shuo Pei, Yong Wang, Yuanchen Zhu, Chen Sun, Qin Li, Yanan Zhao, Huachun Tan

arXiv preprint

2026

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation

Peng Lai, Zhihao Ou, Yong Wang, Longyue Wang, Jian Yang, Yun Chen, Guanhua Chen

arXiv preprint

2026

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories

Yanlin Wang, Ziyao Zhang, Chong Wang, Xinyi Xu, Mingwei Liu, Yong Wang, Jiachi Chen, Zibin Zheng

arXiv preprint

2026

FASA: Frequency-aware Sparse Attention

Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian McAuley

arXiv preprint

2026

SSR: Pushing the Limit of Spatial Intelligence with Structured Scene Reasoning

Yi Zhang, Youya Xia, Yong Wang, Meng Song, Xin Wu, Wenjun Wan, Bingbing Liu, AiXue Ye, Hongbo Zhang, Feng Wen

arXiv preprint

2026

Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation

Jiao Li, Jian Lang, Xikai Tang, Wenzheng Shu, Ting Zhong, Qiang Gao, Yong Wang, Leiting Chen, Fan Zhou

arXiv preprint

2026

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification

Tianyi Wang, Long Li, Hongcan Guo, Yibiao Chen, Yixia Li, Yong Wang, Yun Chen, Guanhua Chen

arXiv preprint

2026

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation

Yong Wang, Hongliang Sun, Jinlan Liu, Hua Zhang, Dianbo Sui, Dianhui Chu, Zhiying Tu

arXiv preprint

2026

SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Ziyu Ma, Shidong Yang, Yuxiang Ji, Xucong Wang, Yong Wang, Yiming Hu, Tongwen Huang, Xiangxiang Chu

arXiv preprint

2026

AniMaster: From Story Texts to Animated Videos via Cinematic Script Generation and Interactive Authoring

Ruiqi Yu, Dekun Qian, Jiale Xu, Sizhe Cheng, Yize Li, Xiangyang Wu, Zhiguang Zhou, Wei Chen, Yong Wang

arXiv preprint

2026

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter

Zeguan Xiao, Xuanzhe Xu, Yong Wang, Jian Yang, Yanqing HU, Yun Chen

arXiv preprint

2026

Scaling Agentic Data for Long-Horizon Terminal Intelligence

Shun Zou, Ziyu Ma, Yi Zou, Yong Wang, Lin Chen, Zehui Chen, Guanhua Chen, Xiangxiang Chu, Feng Zhao

arXiv preprint

2025

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement

Xiao Zhang, Fei Wei, Yong Wang, Wenda Zhao, Feiyi Li, Xiangxiang Chu

arXiv preprint

2025

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights

Yifan Wu, Lutao Yan, Yizhang Zhu, Yenchi Tseng, Yinan Mei, Yong Wang, Jiannan Wang, Nan Tang, Yuyu Luo

arXiv preprint

2025

MoSa: Motion Generation with Scalable Autoregressive Modeling

Mengyuan Liu, Sheng Yan, Yong Wang, Yingjie Li, Gui-Bin Bian, Hong Liu

arXiv preprint

2025

TAMEing Long Contexts in Personalization: Towards Training-Free and State-Aware MLLM Personalized Assistant

Rongpei Hong, Jian Lang, Ting Zhong, Yong Wang, Fan Zhou

arXiv preprint

DOI

2025

Preserving spreading dynamics and information flow in complex network reduction

Dan Chen, Housheng Su, Yong Wang, Jie Liu

arXiv preprint

2025

USP: Unified Self-Supervised Pretraining for Image Generation and Understanding

Xiangxiang Chu, Renda Li, Yong Wang

arXiv preprint

2025

A New Segment Routing method with Swap Node Selection Strategy Based on Deep Reinforcement Learning for Software Defined Network

Miao Ye, Jihao Zheng, Qiuxiang Jiang, Yuan Huang, Ziheng Wang, Yong Wang

arXiv preprint

2025

A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks

Miao Ye, Suxiao Wang, Jiaguang Han, Yong Wang, Xiaoli Wang, Jingxuan Wei, Peng Wen, Jing Cui

arXiv preprint

2025

A Foundational Generative Model for Breast Ultrasound Image Analysis

Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Haotian Ye, Siyu He, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, James Zou, Qingli Zhu, Yong Wang, Liwei Wang

arXiv preprint

2025

CFTrack: Enhancing Lightweight Visual Tracking through Contrastive Learning and Feature Matching

Juntao Liang, Jun Hou, Weijun Zhang, Yong Wang

arXiv preprint

2025

IntelliCircos: A Data-driven and AI-powered Authoring Tool for Circos Plots

Mingyang Gu, Jiamin Zhu, Qipeng Wang, Fengjie Wang, Xiaolin Wen, Yong Wang, Min Zhu

arXiv preprint

2025

A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories

Haojun Yu, Youcheng Li, Zihan Niu, Nan Zhang, Xuantong Gong, Huan Li, Zhiying Zou, Haifeng Qi, Zhenxiao Cao, Zijie Lan, Xingjian Yuan, Jiating He, Haokai Zhang, Shengtao Zhang, Zicheng Wang, Dong Wang, Ziwei Zhao, Congying Chen, Yong Wang, Wangyan Qin, Qingli Zhu, Liwei Wang

arXiv preprint

2025

Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning

Ziyu Ma, Chenhui Gou, Yiming Hu, Yong Wang, Xiangxiang Chu, Bohan Zhuang, Jianfei Cai

arXiv preprint

2025

A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network

Miao Ye, Zhibang Jiang, Xingsi Xue, Xingwang Li, Peng Wen, Yong Wang

arXiv preprint

2025

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition

Wen Yin, Yong Wang, Guiduo Duan, Dongyang Zhang, Xin Hu, Yuan-Fang Li, Tao He

arXiv preprint

2025

Teaching in adverse scenes: a statistically feedback-driven threshold and mask adjustment teacher-student framework for object detection in UAV images under adverse scenes

Hongyu Chen, Jiping Liu, Yong Wang, Jun Zhu, Dejun Feng, Yakun Xie

arXiv preprint

2025

Causal inference with dyadic data in randomized experiments

Yilin Li, Lu Deng, Yong Wang, Wang Miao

arXiv preprint

2025

Diffusion-grounded VideoLLM for Entity-aware temoporal grounding

Pengcheng Fang, Yuxia Chen, Yong Wang, Xiaohao Cai, Xiangning Ruan

arXiv preprint

2025

SimVecVis: A Dataset for Enhancing MLLMs in Visualization Understanding

Can Liu, Chunlin Da, Xiaoxiao Long, Yuxiao Yang, Yu Zhang, Yong Wang

arXiv preprint

2025

Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies

Qianhe Chen, Yong Wang, Yixin Yu, Xiyuan Zhu, Xuerou Yu, Ran Wang

arXiv preprint

DOI

2025

Tree Search for LLM Agent Reinforcement Learning

Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu

arXiv preprint

2025

LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling

Huaqiu Li, Yong Wang, Tongwen Huang, Hailang Huang, Haoqian Wang, Xiangxiang Chu

arXiv preprint

2025

AnDB: Breaking Boundaries with an AI-Native Database for Universal Semantic Analysis

Tianqing Wang, Xun Xue, Guoliang Li, Yong Wang

arXiv preprint

2025

GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning

Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang

arXiv preprint

2025

GlyphWeaver: Unlocking Glyph Design Creativity with Uniform Glyph DSL and AI

Can Liu, Shiwei Chen, Zhibang Jiang, Yong Wang

arXiv preprint

2025

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting

Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang, Xiangxiang Chu

arXiv preprint

2025

PixelArena: A benchmark for Pixel-Precision Visual Intelligence

Feng Liang, Sizhe Cheng, Chenqi Yi, Yong Wang

arXiv preprint

2025

Analyzing and Mitigating Repetitions in Trip Recommendation

Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou

arXiv preprint

DOI

2025

Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation

Yifei Wang, Feng Xiong, Yong Wang, Linjing Li, Xiangxiang Chu, Daniel Dajun Zeng

arXiv preprint

2024

Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation

Chen Liang, Zhifan Feng, Zihe Liu, Wenbin Jiang, Jinan Xu, Yufeng Chen, Yong Wang

arXiv preprint

2024

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective

Hailang Huang, Yong Wang, Zixuan Huang, Huaqiu Li, Tongwen Huang, Xiangxiang Chu, Richong Zhang

arXiv preprint

2024

ChartKG: A Knowledge-Graph-Based Representation for Chart Images

Zhiguang Zhou, Haoxuan Wang, Zhengqing Zhao, Fengling Zheng, Yongheng Wang, Wei Chen, Yong Wang

arXiv preprint

2024

Automatic driving lane change safety prediction model based on LSTM

Wenjian Sun, Linying Pan, Jingyu Xu, Weixiang Wan, Yong Wang

arXiv preprint

2024

Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton

Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Xinlin Yuan, Wenming Yang

arXiv preprint

2024

Which One Changes More? A Novel Radial Visualization for State Change Comparison

Shaolun Ruan, Yong Wang, Qiang Guan

arXiv preprint

2024

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning

Jiayu Liu, Yong Wang, Nianbin Wang, Jing Yang, Xiaohui Tao

arXiv preprint

2024

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection

Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao

arXiv preprint

2024

Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift

Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang

arXiv preprint

2024

Causal Inference in Social Platforms Under Approximate Interference Networks

Yiming Jiang, Lu Deng, Yong Wang, He Wang

arXiv preprint

2024

Training-Free Pretrained Model Merging

Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song

arXiv preprint

2024

FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance

Yinglong Li, Hongyu Wu, Xiaogang Wang, Qingzhao Qin, Yijiao Zhao, Yong wang, Aimin Hao

arXiv preprint

2024

Large-Scale Metric Computation in Online Controlled Experiment Platform

Tao Xiong, Yong Wang

arXiv preprint

DOI

2024

MA-CDMR: An Intelligent Cross-domain Multicast Routing Method based on Multiagent Deep Reinforcement Learning in Multi-domain SDWN

Miao Ye, Hongwen Hu, Xiaoli Wang, Yuping Wang, Yong Wang, Wen Peng, Jihao Zheng

arXiv preprint

2024

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation

Dingyuan Shi, Yong Wang, Hangyu Li, Xiangxiang Chu

arXiv preprint

2024

METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance

Ziang Guo, Xinhao Lin, Zakhar Yagudin, Artem Lykov, Yong Wang, Yanqiang Li, Dzmitry Tsetserukou

arXiv preprint

2024

Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty

Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu, Zhiwu Lu

arXiv preprint

DOI

2024

On the Concept Trustworthiness in Concept Bottleneck Models

Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song

arXiv preprint

2024

Ego Group Partition: A Novel Framework for Improving Ego Experiments in Social Networks

Lu Deng, JingJing Zhang, Yong Wang, Chuan Chen

arXiv preprint

2024

Direct Alignment of Language Models via Quality-Aware Self-Refinement

Runsheng Yu, Yong Wang, Xiaoqi Jiao, Youzhi Zhang, James T. Kwok

arXiv preprint

2024

Unbiased Estimation for Total Treatment Effect Under Interference Using Aggregated Dyadic Data

Lu Deng, Yilin Li, JingJing Zhang, Yong Wang, Chuan Chen

arXiv preprint

2024

APIGen: Generative API Method Recommendation

Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu

arXiv preprint

2023

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning

Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song

arXiv preprint

2023

REAL: A Representative Error-Driven Approach for Active Learning

Cheng Chen, Yong Wang, Lizi Liao, Yueguo Chen, Xiaoyong Du

arXiv preprint

2023

Optimized Covariance Design for AB Test on Social Network under Interference

Qianyi Chen, Bo Li, Lu Deng, Yong Wang

arXiv preprint

2023

Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation

Yiming Hu, Xiangxiang Chu, Yong Wang

arXiv preprint

2023

Double-chain Constraints for 3D Human Pose Estimation in Images and Videos

Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Wenming Yang

arXiv preprint

2023

An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning

Jinqiang Li, Miao Ye, Linqiang Huang, Xiaofang Deng, Hongbing Qiu, Yong Wang

arXiv preprint

2023

Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation

Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang

arXiv preprint

2023

AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data

Songheng Zhang, Haotian Li, Huamin Qu, Yong Wang

arXiv preprint

2022

A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks

Miao Ye, Qinghao Zhang, Xingsi Xue, Yong Wang, Qiuxiang Jiang, Hongbing Qiu

arXiv preprint

2022

VAID: Indexing View Designs in Visual Analytics System

Lu Ying, Aoyu Wu, Haotian Li, Zikun Deng, Ji Lan, Jiang Wu, Yong Wang, Huamin Qu, Dazhen Deng, Yingcai Wu

arXiv preprint

DOI

2022

A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network

Qinghao Zhang, Miao Ye, Hongbing Qiu, Yong Wang, Xiaofang Deng

arXiv preprint

2022

DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN

Chenwei Zhao, Miao Ye, Xingsi Xue, Jianhui Lv, Qiuxiang Jiang, Yong Wang

arXiv preprint

2022

RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media

Ran Wang, Kehan Du, Qianhe Chen, Yifei Zhao, Mojie Tang, Hongxi Tao, Shipan Wang, Yiyao Li, Yong Wang

arXiv preprint

DOI

2022

Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis

Xingbo Wang, Siyuan Li, Furui Cheng, Yong Wang, Jiang Long, Hong Lu, Huamin Qu, Ke Xu

arXiv preprint

2022

DMiner: Dashboard Design Mining and Recommendation

Yanna Lin, Haotian Li, Aoyu Wu, Yong Wang, Huamin Qu

arXiv preprint

DOI

2022

Hierarchical Terrain Attention and Multi-Scale Rainfall Guidance For Flood Image Prediction

Feifei Wang, Yong Wang, Bing Li, Qidong Huang, Shaoqing Chen

arXiv preprint

2022

MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

Bowen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen

arXiv preprint

2022

Structure-aware Visualization Retrieval

Haotian Li, Yong Wang, Aoyu Wu, Huan Wei, Huamin Qu

arXiv preprint

DOI

2022

HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar

Yanyan Huang, Yong Wang, Kun Shi, Chaojie Gu, Yu Fu, Cheng Zhuo, Zhiguo Shi

arXiv preprint

2021

ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning

Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen

arXiv preprint

2021

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen

arXiv preprint

2021

Covariance Estimation and its Application in Large-Scale Online Controlled Experiments

Tao Xiong, Yihan Bao, Penglei Zhao, Yong Wang

arXiv preprint

2021

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

arXiv preprint

2020

QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design

Meng Xia, Reshika Palaniyappan Velumani, Yong Wang, Huamin Qu, Xiaojuan Ma

arXiv preprint

2020

Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry

Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang

arXiv preprint

DOI

2020

Visual Analysis of Discrimination in Machine Learning

Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu

arXiv preprint

DOI

2019

Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations

Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li

arXiv preprint

2019

Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline

Chen Zhu-Tian, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu

arXiv preprint

DOI

2018

Meta-Learning for Low-Resource Neural Machine Translation

Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li

arXiv preprint

2018

Large Margin Few-Shot Learning

Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li

arXiv preprint

2017

Search Engine Guided Non-Parametric Neural Machine Translation

Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li

arXiv preprint

2017

A Many-Objective Evolutionary Algorithm with Angle-Based Selection and Shift-Based Density Estimation

Zhi-Zhong Liu, Yong Wang, Pei-Qiu Huang

arXiv preprint

2013

Overlapping Community Detection in Complex Networks using Symmetric Binary Matrix Factorization

Zhong-Yuan Zhang, Yong Wang, Yong-Yeol Ahn

arXiv preprint

DOI

精选作品

期刊论文

基于深度神经网络的中文新闻文本分类方法

SCT-CVAE:基于分离Context机制与CVAE的Transformer对话模型

基于卷积神经网络的重录语音检测算法

融合宫颈细胞领域特征的多流卷积神经网络分类算法

深度学习算法在问句意图分类中的应用研究

基于双通道卷积神经网络的问句意图分类研究

基于BiDAF多文档重排序的阅读理解模型

同源数据的协同挖掘算法研究

股票投资短期预测的多模匹配识别算法

应用统计方法综合评估核函数分类能力的研究

椭球基函数神经网络的混合学习算法

基于隐私保护的数据挖掘

关于互信息准则在分类(包括拒识类别)问题中的应用(英文)

关联规则在空间数据挖掘中的应用及实现

如何增加人工神经元网络的透明度?

随机响应技术的数据挖掘

对基于知识发现的神经元网络集成方法的研究

会议论文

样本分布不同和类别不平衡的图像识别

预印本

TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents

MAD: A Multimodal and Multi-perspective Affective Dataset with Hierarchical Annotations

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models

Learning Agentic Policy from Action Guidance

Towards High-Resolution Visual Perception via Hierarchical Entity Exploration

Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention

SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks

EMIR$^2$: Evolution-Aware Memory with Intent-Guided Multi-Round Retrieval

BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding

Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning

SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering

H-Node Attack and Defense in Large Language Models

Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution

MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement

Temporal Evidence Forests for Long-Horizon Multi-Party Conversational Memory

Implicit Action Chunking for Smooth Continuous Control

Visually-Guided Policy Optimization for Multimodal Reasoning

A Graph Prompt Fine-Tuning Method for WSN Spatio-Temporal Correlation Anomaly Detection

Nip Rumors in the Bud: Retrieval-Guided Topic-Level Adaptation for Test-Time Fake News Video Detection

Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation

AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models?

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models

Proteus: Shapeshifting Desktop Visualizations for Mobile via Multi-level Intelligent Adaptation

CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models

ManiScope: LLM-Assisted Visual Analytics of Cryptocurrency Manipulation Risk

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning

Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization

Towards Memory-Efficient Autoregressive Video Generation via Instance-Specific Parametric Absorption

KAT-Coder-V2 Technical Report

Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models

Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization

A Pragmatic VLA Foundation Model

APPO: Agentic Procedural Policy Optimization

Debiasing as a Measurement Intervention: Calibrated Ties and Resolution Loss in LLM-as-a-Judge Evaluation

Towards Unbiased On-Policy Distillation for Block Diffusion Language Models

Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning

From Foundation to Application: Improving VLA Models in Practice

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers

Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem

Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning

Safe and Stylized Trajectory Planning for Autonomous Driving via Diffusion Model

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories

FASA: Frequency-aware Sparse Attention

SSR: Pushing the Limit of Spatial Intelligence with Structured Scene Reasoning

Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation

SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

AniMaster: From Story Texts to Animated Videos via Cinematic Script Generation and Interactive Authoring

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter

Scaling Agentic Data for Long-Horizon Terminal Intelligence