Wentao Zhang

According to our database, Wentao Zhang authored at least 285 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A comprehensive survey on imbalanced data learning.

Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Chong Chen, Conghui He, Hongzhi Yin, Wentao Zhang

Frontiers Comput. Sci., November, 2026

Public Attitudes and Spatio-Temporal Characteristics of Robotaxis in China: A Machine Learning-Based Analysis.

Liangliang Zheng, Yanyu Chen, Jinhao Yan, Wentao Zhang, Xinyi Zheng

Int. J. Hum. Comput. Interact., May, 2026

Source-Grounded Semantic Reinforcement Learning for Low-Resource Target-Language Generation.

Zeli Su, Ziyin Zhang, Zewei Pan, Zhou Liu, Dingcheng Huang, Dehan Li, Zhankai Xu, Longfei Zheng, Xiaolu Zhang, Jun Zhou, Wentao Zhang

CoRR, May, 2026

The Curse of Helpfulness: Inverse Scaling Law in Robustness to Distractor Instructions via DistractionIF.

Zeli Su, Zhankai Xu, Tianlei Chen, Longfei Zheng, Xiaolu Zhang, Jun Zhou, Wentao Zhang

CoRR, May, 2026

TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM Reasoning.

Chusen Li, Zhou Liu, Shuigeng Zhou, Wentao Zhang

CoRR, May, 2026

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning.

Yifan Dai, Zhenhua Wu, Bohan Zeng, Daili Hua, Jialing Liu, Bozhou Li, Yuran Wang, Chengzhuo Tong, Hao Liang, Xiaochen Ma, Junbo Niu, Tianyu Guo, Yang Shi, Yue Ding, Yiyan Ji, Bingyin Mei, Yushuo Guan, Yuanxing Zhang, Pengfei Wan, Fangcheng Fu, Wentao Zhang

CoRR, May, 2026

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction.

Kaixin Zhu, Yiwen Tang, Yifan Yang, Renrui Zhang, Bohan Zeng, Ziyu Guo, Ruichuan An, Zhou Liu, Qizhi Chen, Delin Qu, Jaehong Yoon, Wentao Zhang

CoRR, May, 2026

Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax.

Zeli Su, Ziyin Zhang, Zhou Liu, Xuexian Song, Zhankai Xu, Longfei Zheng, Xiaolu Zhang, Rong Fu, Guixian Xu, Wentao Zhang

CoRR, May, 2026

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence.

Dongsheng Ma, Jiayu Li, Zhengren Wang, Yijie Wang, Jiahao Kong, Weijun Zeng, Jutao Xiao, Jie Yang, Wentao Zhang, Bin Wang, Conghui He

CoRR, May, 2026

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows.

Wei Liu, Yang Gu, Xi Yan, Zihan Nan, Beicheng Xu, Keyao Ding, Bin Cui, Wentao Zhang

CoRR, May, 2026

Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning.

Zijun Shen, Sihan Yang, Ruichuan An, Ziyu Guo, Hao Liang, Ming Lu, Renrui Zhang, Wentao Zhang

CoRR, May, 2026

FLARE: Full-Modality Long-Video Audiovisual Retrieval Benchmark with User-Simulated Queries.

Qijie You, Hao Liang, Mingrui Chen, Bohan Zeng, Meiyi Qiang, Zhen Hao Wong, Wentao Zhang

CoRR, May, 2026

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs.

Hao Liang, Qihan Lin, Zhaoyang Han, Xiaochen Ma, Zhen Hao Wong, Meiyi Qiang, Linzhuang Sun, Wentao Zhang

CoRR, May, 2026

Training with Harnesses: On-Policy Harness Self-Distillation for Complex Reasoning.

Zhengyang Zhao, Lu Ma, Wentao Zhang

CoRR, May, 2026

TraceAV-Bench: Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos.

Hengyi Feng, Hao Liang, Mingrui Chen, Bohan Zeng, Meiyi Qiang, Zhengyang Zhao, Zimo Meng, Zeang Sheng, Wentao Zhang

CoRR, May, 2026

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale.

Bin Wang, Tianyao He, Linke Ouyang, Fan Wu, Zhiyuan Zhao, Tao Chu, Yuan Qu, Zhenjiang Jin, Weijun Zeng, Ziyang Miao, Bangrui Xu, Junbo Niu, Mengzhang Cai, Jiantao Qiu, Qintong Zhang, Dongsheng Ma, Yuefeng Sun, Hejun Dong, Wenzheng Zhang, Jutao Xiao, Jiayong Shi, Pengyu Liao, Xiaomeng Zhao, Huaping Zhong, Liqun Wei, Jing Yu, Jie Yang, Wei Li, Shasha Wang, Qianqian Wu, Xuanhe Zhou, Weijia Li, Zhenxiang Li, Zhongying Tu, Jiang Wu, Lijun Wu, Chao Xu, Kai Chen, Wentao Zhang, Yu Qiao, Bowen Zhou, Dahua Lin, Conghui He

CoRR, April, 2026

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models.

DataFlow Team, Bohan Zeng, Daili Hua, Kaixin Zhu, Yifan Dai, Bozhou Li, Yuran Wang, Chengzhuo Tong, Yifan Yang, Mingkun Chang, Jianbin Zhao, Zhou Liu, Hao Liang, Xiaochen Ma, Ruichuan An, Junbo Niu, Zimo Meng, Tianyi Bai, Meiyi Qiang, Huanyao Zhang, Zhiyou Xiao, Tianyu Guo, Qinhan Yu, Runhao Zhao, Zhengpin Li, Xinyi Huang, Yisheng Pan, Yiwen Tang, Yang Shi, Yue Ding, Xinlong Chen, Hongcheng Gao, Minglei Shi, Jialong Wu, Zekun Wang, Yuanxing Zhang, Xintao Wang, Pengfei Wan, Yiren Song, Mike Zheng Shou, Wentao Zhang

CoRR, April, 2026

Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Jie Jiang, Bin Cui

Data Sci. Eng., March, 2026

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models.

Hao Liang, Zhengyang Zhao, Meiyi Qiang, Mingrui Chen, Lu Ma, Rongyi Yu, Hengyi Feng, Shixuan Sun, Zimo Meng, Xiaochen Ma, Xuanlin Yang, Qifeng Cai, Ruichuan An, Bohan Zeng, Zhen Hao Wong, Chengyu Shen, Runming He, Zhaoyang Han, Yaowei Zheng, Fangcheng Fu, Conghui He, Bin Cui, Zhiyu Li, Weinan E, Wentao Zhang

CoRR, March, 2026

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding.

Hejun Dong, Junbo Niu, Bin Wang, Weijun Zeng, Wentao Zhang, Conghui He

CoRR, March, 2026

Towards Next-Generation LLM Training: From the Data-Centric Perspective.

Hao Liang, Zhengyang Zhao, Zhaoyang Han, Meiyi Qiang, Xiaochen Ma, Bohan Zeng, Qifeng Cai, Zhiyu Li, Linpeng Tang, Weinan E, Wentao Zhang

CoRR, March, 2026

One-Eval: An Agentic System for Automated and Traceable LLM Evaluation.

Chengyu Shen, Yanheng Hou, Minghui Pan, Runming He, Zhen Hao Wong, Meiyi Qiang, Zhou Liu, Hao Liang, Peichao Lai, Zeang Sheng, Wentao Zhang

CoRR, March, 2026

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation.

Zhengren Wang, Dongsheng Ma, Huaping Zhong, Jiayu Li, Wentao Zhang, Bin Wang, Conghui He

CoRR, February, 2026

pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware Training.

Wenzheng Zhang, Bingzheng Liu, Yang Hu, Xiaoying Bai, Wentao Zhang, Bin Cui

CoRR, February, 2026

AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG.

Qijie You, Wenkai Yu, Wentao Zhang

CoRR, February, 2026

TAG: Thinking with Action Unit Grounding for Facial Expression Recognition.

Haobo Lin, Tianyi Bai, Jiajun Zhang, Xuanhao Chang, Sheng Lu, Fangming Gu, Zengjie Hu, Wentao Zhang

CoRR, February, 2026

Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code.

Haobo Lin, Tianyi Bai, Chen Chen, Jiajun Zhang, Bohan Zeng, Wentao Zhang, Binhang Yuan

CoRR, February, 2026

BrowseComp-V³: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents.

Huanyao Zhang, Jiepeng Zhou, Bo Li, Bowen Zhou, Yanzhe Shan, Haishan Lu, Zhiyong Cao, Jiaoyang Chen, Yuqian Han, Zinan Sheng, Zhengwei Tao, Hao Liang, Jialong Wu, Yang Shi, Yuanpeng He, Jiaye Lin, Qintong Zhang, Guochen Yan, Runhao Zhao, Zhengpin Li, Xiaohan Yu, Lang Mei, Chong Chen, Wentao Zhang, Bin Cui

CoRR, February, 2026

GENIUS: Generative Fluid Intelligence Evaluation Suite.

Ruichuan An, Sihan Yang, Ziyu Guo, Wei Dai, Zijun Shen, Haodong Li, Renrui Zhang, Xinyu Wei, Guopeng Li, Wenshan Wu, Wentao Zhang

CoRR, February, 2026

Canvas-of-Thought: Grounding Reasoning via Mutable Structured States.

Lingzhuang Sun, Yuxia Zhu, Ruitong Liu, Hao Liang, Zheng Sun, Caijun Jia, Honghao He, Yuchen Wu, Siyuan Li, Jingxuan Wei, Xiangxiang Zhang, Bihui Yu, Wentao Zhang

CoRR, February, 2026

AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning.

Binxiao Xu, Junyu Feng, Xiaopeng Lin, Haodong Li, Zhiyuan Feng, Bohan Zeng, Shaolin Lu, Ming Lu, Qi She, Wentao Zhang

CoRR, February, 2026

M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions.

Junyu Feng, Binxiao Xu, Jiayi Chen, Mengyu Dai, Cenyang Wu, Haodong Li, Bohan Zeng, Yunliu Xie, Hao Liang, Ming Lu, Wentao Zhang

CoRR, February, 2026

Guided Verifier: Collaborative Multimodal Reasoning via Dynamic Process Supervision.

Lingzhuang Sun, Ruitong Liu, Yuxia Zhu, Xiaohan Xu, Jingxuan Wei, Xiangxiang Zhang, Bihui Yu, Wentao Zhang

CoRR, February, 2026

Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers.

Bozhou Li, Yushuo Guan, Haolin Li, Bohan Zeng, Yiyan Ji, Yue Ding, Pengfei Wan, Kun Gai, Yuanxing Zhang, Wentao Zhang

CoRR, February, 2026

Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks.

Bohan Zeng, Kaixin Zhu, Daili Hua, Bozhou Li, Chengzhuo Tong, Yuran Wang, Xinyi Huang, Yifan Dai, Zixiang Zhang, Yifan Yang, Zhou Liu, Hao Liang, Xiaochen Ma, Ruichuan An, Tianyi Bai, Hongcheng Gao, Junbo Niu, Yang Shi, Xinlong Chen, Yue Ding, Minglei Shi, Kai Zeng, Yiwen Tang, Yuanxing Zhang, Pengfei Wan, Xintao Wang, Wentao Zhang

CoRR, February, 2026

Exploring Information Seeking Agent Consolidation.

Guochen Yan, Jialong Wu, Zhengwei Tao, Bo Li, Qintong Zhang, Jiahao Xu, Haitao Mi, Yuejian Fang, Qingni Shen, Wentao Zhang, Zhonghai Wu

CoRR, February, 2026

Data Preparation for Large Language Models.

Hao Liang, Zhen Hao Wong, Rui-Tong Liu, Yu-Han Wang, Meiyi Qiang, Zhengyang Zhao, Chengyu Shen, Conghui He, Wentao Zhang, Bin Cui

J. Comput. Sci. Technol., January, 2026

MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods.

Honglin Lin, Zheng Liu, Yun Zhu, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

DataCross: A Unified Benchmark and Agent Framework for Cross-Modal Heterogeneous Data Analysis.

Ruyi Qi, Zhou Liu, Wentao Zhang

CoRR, January, 2026

MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning.

Xuchen Li, Jing Chen, Xuzhao Li, Hao Liang, Xiaohuan Zhou, Taifeng Wang, Wentao Zhang

CoRR, January, 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.

Zheng Liu, Honglin Lin, Chonghan Qin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Bin Cui, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge.

Runhao Zhao, Weixin Zeng, Wentao Zhang, Chong Chen, Zhengpin Li, Xiang Zhao, Lei Chen

CoRR, January, 2026

CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation.

Chengzhuo Tong, Mingkun Chang, Shenglong Zhang, Yuran Wang, Cheng Liang, Zhizheng Zhao, Ruichuan An, Bohan Zeng, Yang Shi, Yifan Dai, Ziming Zhao, Guanbin Li, Pengfei Wan, Yuanxing Zhang, Wentao Zhang

CoRR, January, 2026

GIFT: Unlocking Global Optimality in Post-Training via Finite-Temperature Gibbs Initialization.

Zhengyang Zhao, Lu Ma, Yizhen Jiang, Xiaochen Ma, Zimo Meng, Chengyu Shen, Lexiang Tang, Haoze Sun, Peng Pei, Wentao Zhang

CoRR, January, 2026

RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data Synthesis.

Zhengwei Tao, Bo Li, Jialong Wu, Guochen Yan, Huanyao Zhang, Jiahao Xu, Haitao Mi, Wentao Zhang

CoRR, January, 2026

DocDancer: Towards Agentic Document-Grounded Information Seeking.

Qintong Zhang, Xinjie Lv, Jialong Wu, Baixuan Li, Zhengwei Tao, Guochen Yan, Huanyao Zhang, Bin Wang, Jiahao Xu, Haitao Mi, Wentao Zhang

CoRR, January, 2026

SAS-bench: A fine-grained benchmark for evaluating short answer scoring with large language models.

Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Wentao Zhang, Yilei Wang, Bin Cui

Neural Networks, 2026

Med-R²: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine.

Keer Lu, Zheng Liang, Da Pan, Shusen Zhang, Guosheng Dong, Huang Leng, Bin Cui, Zhonghai Wu, Wentao Zhang

Proceedings of the ACM Web Conference 2026, 2026

LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts.

Hao Liang, Qifeng Cai, Zhaoyang Han, Hejun Dong, Meiyi Qiang, Ruichuan An, Quanqing Xu, Bin Cui, Wentao Zhang

Proceedings of the ACM Web Conference 2026, 2026

Let's Verify Math Questions Step by Step.

Chengyu Shen, Zhen Hao Wong, Runming He, Hao Liang, Meiyi Qiang, Zimo Meng, Zhengyang Zhao, Bohan Zeng, Zhengzhou Zhu, Bin Cui, Wentao Zhang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing.

Tong Zhang, Honglin Lin, Zhou Liu, Chong Chen, Wentao Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.

Zheng Liu, Honglin Lin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Conghui He, Bin Cui, Wentao Zhang, Lijun Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature.

Zheng Liu, Mengjie Liu, Siwei Wen, Mengzhang Cai, Bin Cui, Conghui He, Wentao Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Nested Browser-Use Learning for Agentic Information Seeking.

Baixuan Li, Jialong Wu, Wenbiao Yin, Kuan Li, Zhongwang Zhang, Huifeng Yin, Zhengwei Tao, Liwen Zhang, Pengjun Xie, Jingren Zhou, Yong Jiang, Wentao Zhang, Zhiqiang Gao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning.

Xuchen Li, Xuzhao Li, Jiahui Gao, Renjie Pi, Shiyu Hu, Wentao Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos.

Xuchen Li, Xuzhao Li, Shiyu Hu, Kaiqi Huang, Wentao Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains.

Xuzhao Li, Xuchen Li, Shiyu Hu, Yongzhen Guo, Wentao Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SHRP: Specialized Head Routing and Pruning for Efficient Encoder Compression.

Zeli Su, Ziyin Zhang, Wenzheng Zhang, Zhou Liu, Guixian Xu, Wentao Zhang

CoRR, December, 2025

Generative Giants, Retrieval Weaklings: Why do Multimodal Large Language Models Fail at Multimodal Retrieval?

Hengyi Feng, Zeang Sheng, Meiyi Qiang, Wentao Zhang

CoRR, December, 2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models.

Bozhou Li, Sihan Yang, Yushuo Guan, Ruichuan An, Xinlong Chen, Yang Shi, Pengfei Wan, Wentao Zhang, Yuanxing Zhang

CoRR, December, 2025

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling.

Yuran Wang, Bohan Zeng, Chengzhuo Tong, Wenxuan Liu, Yang Shi, Xiaochen Ma, Hao Liang, Yuanxing Zhang, Wentao Zhang

CoRR, December, 2025

Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation.

Yiwen Tang, Zoey Guo, Kaixin Zhu, Ray Zhang, Qizhi Chen, Dongzhi Jiang, Junli Liu, Bohan Zeng, Haoming Song, Delin Qu, Tianyi Bai, Dan Xu, Wentao Zhang, Bin Zhao

CoRR, December, 2025

DOCR-Inspector: Fine-Grained and Automated Evaluation of Document Parsing with VLM.

Qintong Zhang, Junyuan Zhang, Zhifei Ren, Linke Ouyang, Zichen Wen, Junbo Niu, Yuan Qu, Bin Wang, Ka-Ho Chow, Conghui He, Wentao Zhang

CoRR, December, 2025

BRACE: A Benchmark for Robust Audio Caption Quality Evaluation.

Tianyu Guo, Hongyu Chen, Hao Liang, Meiyi Qiang, Bohan Zeng, Linzhuang Sun, Bin Cui, Wentao Zhang

CoRR, December, 2025

VABench: A Comprehensive Benchmark for Audio-Video Generation.

Daili Hua, Xizhi Wang, Bohan Zeng, Xinyi Huang, Hao Liang, Junbo Niu, Xinlong Chen, Quanqing Xu, Wentao Zhang

CoRR, December, 2025

The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss.

Bozhou Li, Xinda Xue, Sihan Yang, Yang Shi, Xinlong Chen, Yushuo Guan, Yuanxing Zhang, Wentao Zhang

CoRR, December, 2025

DataGovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows.

Zhou Liu, Zhaoyang Han, Guochen Yan, Hao Liang, Bohan Zeng, Xing Chen, Yuanfeng Song, Wentao Zhang

CoRR, December, 2025

Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM.

Mengjie Liu, Jiahui Peng, Pei Chu, Jiantao Qiu, Ren Ma, He Zhu, Rui Min, Lindong Lu, Wenchang Ning, Linfeng Hou, Kaiwen Liu, Yuan Qu, Zhenxiang Li, Chao Xu, Zhongying Tu, Wentao Zhang, Conghui He

CoRR, November, 2025

VADE: Variance-Aware Dynamic Sampling via Online Sample-Level Difficulty Estimation for Multimodal RL.

Zengjie Hu, Jiantao Qiu, Tianyi Bai, Haojin Yang, Binhang Yuan, Qi Jing, Conghui He, Wentao Zhang

CoRR, November, 2025

VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging.

Ming Zhong, Yuanlei Wang, Liuzhou Zhang, Arctanx An, Renrui Zhang, Hao Liang, Ming Lu, Ying Shen, Wentao Zhang

CoRR, November, 2025

Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers.

Ziyi Guo, Zhou Liu, Wentao Zhang

CoRR, November, 2025

AICC: Parse HTML Finer, Make Models Better - A 7.3T AI-Ready Corpus Built by a Model-Based HTML Parser.

Ren Ma, Jiantao Qiu, Chao Xu, Pei Chu, Kaiwen Liu, Pengli Ren, Yuan Qu, Jiahui Peng, Linfeng Hou, Mengjie Liu, Lindong Lu, Wenchang Ning, Jia Yu, Rui Min, Jin Shi, Haojiong Chen, Peng Zhang, Wenjian Zhang, Qian Jiang, Zengjie Hu, Guoqiang Yang, Zhenxiang Li, Fukai Shang, Runyuan Ma, Chenlin Su, Zhongying Tu, Wentao Zhang, Dahua Lin, Conghui He

CoRR, November, 2025

FlipVQA-Miner: Cross-Page Visual Question-Answer Mining from Textbooks.

Zhen Hao Wong, Jingwen Deng, Hao Liang, Runming He, Chengyu Shen, Wentao Zhang

CoRR, November, 2025

Gallant: Voxel Grid-based Humanoid Locomotion and Local-navigation across 3D Constrained Terrains.

Qingwei Ben, Botian Xu, Kailin Li, Feiyu Jia, Wentao Zhang, Jingping Wang, Jingbo Wang, Dahua Lin, Jiangmiao Pang

CoRR, November, 2025

Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL.

Qifeng Cai, Hao Liang, Chang Xu, Tao Xie, Wentao Zhang, Bin Cui

CoRR, November, 2025

UniDataBench: Evaluating Data Analytics Agents Across Structured and Unstructured Data.

Han Weng, Zhou Liu, Yuanfeng Song, Xiaoming Yin, Xing Chen, Wentao Zhang

CoRR, November, 2025

Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration.

Linzhuang Sun, Tianyu Guo, Hao Liang, Yuying Li, Qifeng Cai, Jingxuan Wei, Bihui Yu, Wentao Zhang, Bin Cui

CoRR, October, 2025

Jarvis: Towards Personalized AI Assistant via Personal KV-Cache Retrieval.

Binxiao Xu, Junyu Feng, Ruichuan An, Yulin Luo, Shilin Yan, Hao Liang, Ming Lu, Wentao Zhang

CoRR, October, 2025

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks.

Kai Zeng, Zhanqian Wu, Kaixin Xiong, Xiaobao Wei, Xiangyu Guo, Zhenxin Zhu, Kalok Ho, Lijun Zhou, Bohan Zeng, Ming Lu, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Wentao Zhang

CoRR, October, 2025

LongInsightBench: A Comprehensive Benchmark for Evaluating Omni-Modal Models on Human-Centric Long-Video Understanding.

ZhaoYang Han, Qihan Lin, Hao Liang, Bowen Chen, Zhou Liu, Wentao Zhang

CoRR, October, 2025

MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning.

Xukai Wang, Xuanbo Liu, Mingrui Chen, Haitian Zhong, Xuanlin Yang, Bohan Zeng, Jinbo Hu, Hao Liang, Junbo Niu, Xuchen Li, Ruitao Wu, Ruichuan An, Yang Shi, Liu Liu, Xu-Yao Zhang, Qiang Liu, Zhouchen Lin, Wentao Zhang, Bin Dong

CoRR, October, 2025

PhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System.

Huayi Wang, Wentao Zhang, Runyi Yu, Tao Huang, Junli Ren, Feiyu Jia, Zirui Wang, Xiaojie Niu, Xiao Chen, Jiahe Chen, Qifeng Chen, Jingbo Wang, Jiangmiao Pang

CoRR, October, 2025

CapGeo: A Caption-Assisted Approach to Geometric Reasoning.

Yuying Li, Siyi Qian, Hao Liang, Leqi Zheng, Ruichuan An, Yongzhen Guo, Wentao Zhang

CoRR, October, 2025

DARO: Difficulty-Aware Reweighting Policy Optimization.

Jingyu Zhou, Lu Ma, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang

CoRR, October, 2025

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing.

Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He

CoRR, September, 2025

From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token's Nature.

Zheng Liu, Mengjie Liu, Siwei Wen, Mengzhang Cai, Bin Cui, Conghui He, Wentao Zhang

CoRR, September, 2025

SQLGovernor: An LLM-powered SQL Toolkit for Real World Application.

Jie Jiang, Siqi Shen, Haining Xie, Yang Li, Yu Shen, Danqing Huang, Bo Qian, Yinjun Wu, Wentao Zhang, Bin Cui, Peng Chen

CoRR, September, 2025

Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge.

Hao Liang, Ruitao Wu, Bohan Zeng, Junbo Niu, Wentao Zhang, Bin Dong

CoRR, September, 2025

RobGC: Towards Robust Graph Condensation.

Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., August, 2025

SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence.

Jie Jiang, Haining Xie, Siqi Shen, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yang Li, Chunyou Li, Danqing Huang, Yinjun Wu, Wentao Zhang, Xiaofeng Yang, Bin Cui, Peng Chen

Proc. VLDB Endow., August, 2025

Small-Large Collaboration: Training-efficient Concept Personalization for Large VLM using a Meta Personalized Small VLM.

Sihan Yang, Huitong Ji, Shaolin Lu, Jiayi Chen, Binxiao Xu, Ming Lu, Yuanxing Zhang, Wenhui Dong, Wentao Zhang

CoRR, August, 2025

M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation.

Zhiyou Xiao, Qinhan Yu, Binghui Li, Geng Chen, Chong Chen, Wentao Zhang

CoRR, August, 2025

PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning.

Keer Lu, Chong Chen, Bin Cui, Huang Leng, Wentao Zhang

CoRR, August, 2025

Towards Temporal Knowledge Graph Alignment in the Wild.

Runhao Zhao, Weixin Zeng, Wentao Zhang, Xiang Zhao, Jiuyang Tang, Lei Chen

CoRR, July, 2025

MemOS: A Memory OS for AI System.

Zhiyu Li, Shichao Song, Chenyang Xi, Hanyu Wang, Chen Tang, Simin Niu, Ding Chen, Jiawei Yang, Chunyu Li, Qingchen Yu, Jihao Zhao, Yezhaohui Wang, Peng Liu, Zehao Lin, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Zhen Tao, Junpeng Ren, Huayi Lai, Hao Wu, Bo Tang, Zhenren Wang, Zhaoxin Fan, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Haofeng Wang, Hongkang Yang, Wentao Zhang, Zhi-Qin John Xu, Siheng Chen, Feiyu Xiong

CoRR, July, 2025

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., June, 2025

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models.

Junbo Niu, Yuanhong Zheng, Ziyang Miao, Hejun Dong, Chunjiang Ge, Hao Liang, Ma Lu, Bohan Zeng, Qiahao Zheng, Conghui He, Wentao Zhang

CoRR, June, 2025

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions.

Lu Ma, Hao Liang, Meiyi Qiang, Lexiang Tang, Xiaochen Ma, Zhen Hao Wong, Junbo Niu, Chengyu Shen, Runming He, Bin Cui, Wentao Zhang

CoRR, June, 2025

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification.

Tianyi Bai, Zengjie Hu, Fupeng Sun, Jiantao Qiu, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang

CoRR, June, 2025

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning.

Zhen Hao Wong, Jingwen Deng, Runming He, Zirong Chen, Qijie You, Hejun Dong, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang

CoRR, June, 2025

Taming LLMs by Scaling Learning Rates with Gradient Grouping.

Siyuan Li, Juanxi Tian, Zedong Wang, Xin Jin, Zicheng Liu, Wentao Zhang, Dan Xu

CoRR, June, 2025

On Path to Multimodal Historical Reasoning: HistBench and HistAgent.

Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang

CoRR, May, 2025

LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts.

Qifeng Cai, Hao Liang, Hejun Dong, Meiyi Qiang, Ruichuan An, Zhaoyang Han, Zhengzhou Zhu, Bin Cui, Wentao Zhang

CoRR, May, 2025

Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning.

Mingrui Chen, Haogeng Liu, Hao Liang, Huaibo Huang, Wentao Zhang, Ran He

CoRR, May, 2025

Graph Condensation: A Survey.

Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., April, 2025

xVerify: Efficient Answer Verifier for Reasoning Model Evaluations.

Ding Chen, Qingchen Yu, Pengyuan Wang, Wentao Zhang, Bo Tang, Feiyu Xiong, Xinchi Li, Minchuan Yang, Zhiyu Li

CoRR, April, 2025

FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding.

Zheng Liu, Mengjie Liu, Jingzhou Chen, Jingwei Xu, Bin Cui, Conghui He, Wentao Zhang

CoRR, April, 2025

RARE: Retrieval-Augmented Reasoning Modeling.

Zhengren Wang, Jiayang Yu, Dongsheng Ma, Zhe Chen, Yu Wang, Zhiyu Li, Feiyu Xiong, Yanfeng Wang, Weinan E, Linpeng Tang, Wentao Zhang

CoRR, March, 2025

WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes.

Ling Yang, Kaixin Zhu, Juanxi Tian, Bohan Zeng, Mingbao Lin, Hongjuan Pei, Wentao Zhang, Shuicheng Yan

CoRR, March, 2025

Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization.

Ruichuan An, Kai Zeng, Ming Lu, Sihan Yang, Renrui Zhang, Huitong Ji, Qizhe Zhang, Yulin Luo, Hao Liang, Wentao Zhang

CoRR, March, 2025

Evaluating and Predicting Distorted Human Body Parts for Generated Images.

Lu Ma, Kaibo Cao, Hao Liang, Jiaxin Lin, Zhuang Li, Yuhong Liu, Jihong Zhang, Wentao Zhang, Bin Cui

CoRR, March, 2025

MathClean: A Benchmark for Synthetic Mathematical Data Cleaning.

Hao Liang, Meiyi Qiang, Yuying Li, Zefeng He, Yongzhen Guo, Zhengzhou Zhu, Wentao Zhang, Bin Cui

CoRR, February, 2025

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification.

Linzhuang Sun, Hao Liang, Jingxuan Wei, Bihui Yu, Tianpeng Li, Fan Yang, Zenan Zhou, Wentao Zhang

CoRR, February, 2025

HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation.

Ling Yang, Xinchen Zhang, Ye Tian, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui

CoRR, February, 2025

A Comprehensive Survey on Imbalanced Data Learning.

Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin, Wentao Zhang

CoRR, February, 2025

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation.

Siqi Shen, Yu Liu, Daniel Biggs, Omar Hafez, Jiandong Yu, Wentao Zhang, Bin Cui, Jiulong Shan

CoRR, February, 2025

OpenFGL: A Comprehensive Benchmark for Federated Graph Learning.

Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Ronghua Li, Guoren Wang

Proc. VLDB Endow., January, 2025

Med-R²: Crafting Trustworthy LLM Physicians through Retrieval and Reasoning of Evidence-Based Medicine.

Keer Lu, Zheng Liang, Da Pan, Shusen Zhang, Xin Wu, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang

CoRR, January, 2025

Data and System Perspectives of Sustainable Artificial Intelligence.

Tao Xie, David Harel, Dezhi Ran, Zhenwen Li, Maoliang Li, Zhi Yang, Leye Wang, Xiang Chen, Ying Zhang, Wentao Zhang, Meng Li, Chen Zhang, Linyi Li, Assaf Marron

CoRR, January, 2025

The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation.

Yingjie Fu, Bozhou Li, Linyi Li, Wentao Zhang, Tao Xie

Proc. ACM Softw. Eng., 2025

Epidemiology-informed Network for Robust Rumor Detection.

Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin

Proceedings of the ACM on Web Conference 2025, 2025

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.

Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin

Proceedings of the ACM on Web Conference 2025, 2025

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation.

Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts.

Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos.

Weifeng Lin, Xinyu Wei, Ruichuan An, Tianhe Ren, Tingwei Chen, Renrui Zhang, Ziyu Guo, Wentao Zhang, Lei Zhang, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning.

Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens.

Ruichuan An, Sihan Yang, Renrui Zhang, Zijun Shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing.

Bohan Zeng, Ling Yang, Jiaming Liu, Minghao Xu, Yuanxing Zhang, Pengfei Wan, Wentao Zhang, Shuicheng Yan

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Human Motion Generation in 3D Scenes from Open-Ended Textual Instructions with MLLM Planning.

Siyi Qian, Jian Fang, Yuzhou Mao, Yayun Zou, Wentao Zhang, Haiwei Xue

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models.

Zheng Liu, Hao Liang, Bozhou Li, Wentao Xiong, Chong Chen, Conghui He, Wentao Zhang, Bin Cui

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts.

Hao Liang, Linzhuang Sun, zhouminxuan zhouminxuan, Zirong Chen, Meiyi Qiang, Mingan Lin, Tianpeng Li, Fan Yang, Zenan Zhou, Wentao Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model.

Yang Shi, Jiaheng Liu, Yushuo Guan, Zhenhua Wu, Yuanxing Zhang, Zihao Wang, Weihong Lin, Jingyun Hua, Zekun Wang, Xinlong Chen, Bohan Zeng, Wentao Zhang, Fuzheng Zhang, Wenjing Yang, Di Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification.

Zeang Sheng, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.

Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression.

Zheng Chen, Feng Zhang, Yifei Xia, Wentao Zhang, Xiaowei Zhu, Wenguang Chen, Xiaoyong Du

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting.

Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training.

Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.

Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts.

Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning.

Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SysBench: Can LLMs Follow System Message?

Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning.

Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PAS: Plug-and-Play Prompt Augmentation System.

Miao Zheng, Hao Liang, Fan Yang, Bin Cui, Zenan Zhou, Wentao Zhang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Scalable and Efficient Graph Structure Learning.

Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, Bin Cui

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training.

Keer Lu, Xiaonan Nie, Zheng Liang, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Training Data Distribution Estimation for Optimized Pre-training Data Management.

Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Zenan Zhou, Wentao Zhang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Training-Free Heterogeneous Graph Condensation via Data Selection.

Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation.

Junyuan Zhang, Qintong Zhang, Bin Wang, Linke Ouyang, Zichen Wen, Ying Li, Ka-Ho Chow, Conghui He, Wentao Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Any2anytryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks.

Hailong Guo, Bohan Zeng, Yiren Song, Wentao Zhang, Jiaming Liu, Chuang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs.

Yuanyang Yin, Yaqi Zhao, Yajie Zhang, Yuanxing Zhang, Ke Lin, Jiahao Wang, Xin Tao, Pengfei Wan, Wentao Zhang, Feng Zhao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs.

Keer Lu, Keshi Zhao, Zhuoran Zhang, Zheng Liang, Bin Cui, Tengjiao Wang, Wentao Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback.

Youquan Li, Miao Zheng, Fan Yang, Guosheng Dong, Bin Cui, Weipeng Chen, Zenan Zhou, Wentao Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations.

Peichao Lai, Jiaxin Gan, Feiyang Ye, Wentao Zhang, Fangcheng Fu, Yilei Wang, Bin Cui

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Precise Scaling Laws for Video Diffusion Transformers.

Yuanyang Yin, Yaqi Zhao, Mingwu Zheng, Ke Lin, Jiarong Ou, Rui Chen, Victor Shea-Jay Huang, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Baoqun Yin, Wentao Zhang, Kun Gai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs.

Tao Zhang, Chenglin Zhu, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

QAEncoder: Towards Aligned Representation Learning in Question Answering Systems.

Zhengren Wang, Qinhan Yu, Shida Wei, Zhiyu Li, Feiyu Xiong, Xiaoxing Wang, Simin Niu, Hao Liang, Wentao Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification.

Linzhuang Sun, Hao Liang, Jingxuan Wei, Bihui Yu, Tianpeng Li, Fan Yang, Zenan Zhou, Wentao Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Taming LLMs with Gradient Grouping.

Siyuan Li, Juanxi Tian, Zedong Wang, Xin Jin, Zicheng Liu, Wentao Zhang, Dan Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning.

Peichao Lai, Zhengfeng Zhang, Wentao Zhang, Fangcheng Fu, Bin Cui

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.

Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Towards Scalable and Deep Graph Neural Networks via Noise Masking.

Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graphusion: Latent Diffusion for Graph Generation.

Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang

IEEE Trans. Knowl. Data Eng., November, 2024

Distributed Graph Neural Network Training: A Survey.

Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen

ACM Comput. Surv., August, 2024

OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine.

Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui

Proc. VLDB Endow., July, 2024

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang

ACM Comput. Surv., April, 2024

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.

Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang

Proc. VLDB Endow., March, 2024

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.

Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., February, 2024

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui

J. Mach. Learn. Res., 2024

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts.

Haiyang Jiang, Tong Chen, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui

CoRR, 2024

Epidemiology-informed Network for Robust Rumor Detection.

Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin

CoRR, 2024

MC-LLaVA: Multi-Concept Personalized Vision-Language Model.

Ruichuan An, Sihan Yang, Ming Lu, Kai Zeng, Yulin Luo, Ying Chen, Jiajun Cao, Hao Liang, Qi She, Shanghang Zhang, Wentao Zhang

CoRR, 2024

Toward Personalized Federated Node Classification in One-shot Communication.

Guochen Yan, Xunkai Li, Luyuan Xie, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

CoRR, 2024

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs.

Keer Lu, Keshi Zhao, Zheng Liang, Da Pan, Shusen Zhang, Xin Wu, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang

CoRR, 2024

EVQAScore: Efficient Video Question Answering Data Evaluation.

Hao Liang, Zirong Chen, Wentao Zhang

CoRR, 2024

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models.

Jie Jiang, Haining Xie, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yide Fang, Chunyou Li, Danqing Huang, Wentao Zhang, Yang Li, Xiaofeng Yang, Bin Cui, Peng Chen

CoRR, 2024

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.

Qintong Zhang, Victor Shea-Jay Huang, Bin Wang, Junyuan Zhang, Zhengren Wang, Hao Liang, Shawn Wang, Matthieu Lin, Conghui He, Wentao Zhang

CoRR, 2024

Baichuan Alignment Technical Report.

Mingan Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Tao Zhang, Chenzheng Zhu, Tao Zhang, Miao Zheng, Xu Li, Yijie Zhou, Mingyang Chen, Yanzhao Qin, Youquan Li, Hao Liang, Fei Li, Yadong Li, Mang Wang, Guosheng Dong, Kun Fang, Jianhua Xu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen

CoRR, 2024

FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback.

Youquan Li, Miao Zheng, Fan Yang, Guosheng Dong, Bin Cui, Weipeng Chen, Zenan Zhou, Wentao Zhang

CoRR, 2024

Semantic Score Distillation Sampling for Compositional Text-to-3D Generation.

Ling Yang, Zixiang Zhang, Junlin Han, Bohan Zeng, Runjia Li, Philip Torr, Wentao Zhang

CoRR, 2024

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

CoRR, 2024

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis.

Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao Zhang

CoRR, 2024

Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models.

Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang

CoRR, 2024

QAEncoder: Towards Aligned Representation Learning in Question Answering System.

Zhengren Wang, Qinhan Yu, Shida Wei, Zhiyu Li, Feiyu Xiong, Xiaoxing Wang, Simin Niu, Hao Liang, Wentao Zhang

CoRR, 2024

BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search.

Linzhuang Sun, Hao Liang, Jingxuan Wei, Bihui Yu, Conghui He, Zenan Zhou, Wentao Zhang

CoRR, 2024

Data Proportion Detection for Optimized Data Management for Large Language Models.

Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Guosheng Dong, Zenan Zhou, Wentao Zhang

CoRR, 2024

Retrofitting Temporal Graph Neural Networks with Transformer.

Qiang Huang, Xiao Yan, Xin Wang, Susie Xi Rao, Zhichao Han, Fangcheng Fu, Wentao Zhang, Jiawei Jiang

CoRR, 2024

DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning.

Keer Lu, Zheng Liang, Xiaonan Nie, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Wentao Zhang, Bin Cui

CoRR, 2024

OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning.

Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

CoRR, 2024

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline.

Guosheng Dong, Da Pan, Yiding Sun, Shusen Zhang, Zheng Liang, Xin Wu, Yanjun Shen, Fan Yang, Haoze Sun, Tianpeng Li, Mingan Lin, Jianhua Xu, Yufan Zhang, Xiaonan Nie, Lei Su, Bingning Wang, Wentao Zhang, Jiaxin Mao, Zenan Zhou, Weipeng Chen

CoRR, 2024

SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs.

Yuanyang Yin, Yaqi Zhao, Yajie Zhang, Ke Lin, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Baoqun Yin, Wentao Zhang

CoRR, 2024

SysBench: Can Large Language Models Follow System Messages?

Yanzhao Qin, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui

CoRR, 2024

MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark.

Minxuan Zhou, Hao Liang, Tianpeng Li, Zhiyu Wu, Mingan Lin, Linzhuang Sun, Yaqi Zhou, Yan Zhang, Xiaoqin Huang, Yicong Chen, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou

CoRR, 2024

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs.

Tao Zhang, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou

CoRR, 2024

Are Bigger Encoders Always Better in Vision Large Models?

Bozhou Li, Hao Liang, Zimo Meng, Wentao Zhang

CoRR, 2024

Synth-Empathy: Towards High-Quality Synthetic Empathy Data.

Hao Liang, Linzhuang Sun, Jingxuan Wei, Xijie Huang, Linkun Sun, Bihui Yu, Conghui He, Wentao Zhang

CoRR, 2024

SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models.

Zheng Liu, Hao Liang, Xijie Huang, Wentao Xiong, Qinhan Yu, Linzhuang Sun, Chong Chen, Conghui He, Bin Cui, Wentao Zhang

CoRR, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.

Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin

CoRR, 2024

PAS: Data-Efficient Plug-and-Play Prompt Augmentation System.

Miao Zheng, Hao Liang, Fan Yang, Haoze Sun, Tianpeng Li, Lingchu Xiong, Yan Zhang, Youzhen Wu, Kun Li, Yanjun Shen, Mingan Lin, Tao Zhang, Guosheng Dong, Yujing Qiao, Kun Fang, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou

CoRR, 2024

KeyVideoLLM: Towards Large-scale Video Keyframe Selection.

Hao Liang, Jiapeng Li, Tianyi Bai, Xijie Huang, Linzhuang Sun, Zhengren Wang, Conghui He, Bin Cui, Chong Chen, Wentao Zhang

CoRR, 2024

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui

CoRR, 2024

Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data.

Linzhuang Sun, Hao Liang, Jingxuan Wei, Linkun Sun, Bihui Yu, Bin Cui, Wentao Zhang

CoRR, 2024

A Survey of Multimodal Large Language Model from A Data-centric Perspective.

Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang

CoRR, 2024

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing.

Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan

CoRR, 2024

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.

Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2024

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.

Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin

CoRR, 2024

Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Graph Condensation: A Survey.

Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin

CoRR, 2024

Rethinking Node-wise Propagation for Large-scale Graph Learning.

Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang

Proceedings of the ACM on Web Conference 2024, 2024

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention.

Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations.

Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Distribution-Aware Data Expansion with Diffusion Models.

Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models.

Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters.

Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Condensation for Open-World Graph Learning.

Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation.

Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models.

Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NC-ALG: Graph-Based Active Learning Under Noisy Crowd.

Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BIM: Improving Graph Neural Networks with Balanced Influence Maximization.

Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.

Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.

Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.

Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity.

Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.

Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Condensation for Inductive Node Representation Learning.

Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.

Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification.

Tao Jiang, Haiyang Jiang, Xinyi Ma, Minghao Xu, Yan Liang, Wentao Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Towards Effective and General Graph Unlearning via Mutual Evolution.

Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

P²CG: a privacy preserving collaborative graph neural network training framework.

Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui

VLDB J., July, 2023

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition.

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

VLDB J., March, 2023

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture.

Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2023

FedGTA: Topology-aware Averaging for Federated Graph Learning.

Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang

Proc. VLDB Endow., 2023

Towards General and Efficient Online Tuning for Spark.

Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui

Proc. VLDB Endow., 2023

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization.

Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui

Proc. ACM Manag. Data, 2023

Graph Neural Networks in Recommender Systems: A Survey.

Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui

ACM Comput. Surv., 2023

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.

Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang

CoRR, 2023

Agents: An Open-source Framework for Autonomous Language Agents.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan

CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

CoRR, 2023

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui

CoRR, 2023

Transfer Learning for Bayesian Optimization: A Survey.

Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui

CoRR, 2023

Improving Diffusion-Based Image Synthesis with Context Prediction.

Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning.

Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs.

Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.

Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-Enforced Neural Network for Attributed Graph Clustering.

Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies.

Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spatio-Temporal Meta Learning for Urban Traffic Prediction.

Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

CoRR, 2022

Efficient Graph Neural Network Inference at Large Scale.

Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

CoRR, 2022

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

CoRR, 2022

Efficient End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

CoRR, 2022

DFG-NAS: Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

CoRR, 2022

AutoDC: an automatic machine learning framework for disease classification.

Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui

Bioinform., 2022

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

K-core decomposition on super large graphs with limited resources.

Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

DivBO: Diversity-aware CASH for Ensemble Learning.

Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Degradation Hinders Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Transfer Learning based Search Space Design for Hyperparameter Tuning.

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.

Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

Proceedings of the Tenth International Conference on Learning Representations, 2022

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract).

Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest.

Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.

Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui

Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2021

Enhanced review-based rating prediction by exploiting aside information and user influence.

Shiwen Wu, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, Bin Cui

Knowl. Based Syst., 2021

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

Evaluating Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

CoRR, 2021

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.

Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.

Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RIM: Reliable Influence-based Active Learning on Graphs.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Graph Neural Networks in Recommender Systems: A Survey.

Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui

CoRR, 2020

Snapshot boosting: a fast ensemble framework for deep neural networks.

Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui

Sci. China Inf. Sci., 2020

Reliable Data Distillation on Graph Convolutional Network.

Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui

Proceedings of the 2020 International Conference on Management of Data, 2020

Efficient Diversity-Driven Ensemble for Deep Neural Networks.

Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020