Efficient Diversity-Driven Ensemble for Deep Neural Networks. - Wentao Zhang 001; Jiawei Jiang 001; Yingxia Shao; Bin Cui 001 (ICDE, 2020)

Reliable Data Distillation on Graph Convolutional Network. - Wentao Zhang 001; Xupeng Miao; Yingxia Shao; Jiawei Jiang 001; Lei Chen 002; Olivier Ruas; Bin Cui 001 (SIGMOD Conference, 2020)

Snapshot boosting: a fast ensemble framework for deep neural networks. - Wentao Zhang 001; Jiawei Jiang 001; Yingxia Shao; Bin Cui 001 (Sci. China Inf. Sci., 2020)

Graph Neural Networks in Recommender Systems: A Survey. - Shiwen Wu; Wentao Zhang 001; Fei Sun 001; Bin Cui 001 (CoRR, 2020)

OpenBox: A Generalized Black-box Optimization Service. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Yuanwei Chen; Huaijun Jiang; Mingchao Liu; Jiawei Jiang 001; Jinyang Gao; Wentao Wu 001; Zhi Yang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2021)

DeGNN: Improving Graph Neural Networks with Graph Decomposition. - Xupeng Miao; Nezihe Merve Gürel; Wentao Zhang 001; Zhichao Han 001; Bo Li 026; Wei Min; Susie Xi Rao; Hansheng Ren; Yinan Shan; Yingxia Shao; Yujie Wang; Fan Wu 011; et al. (KDD, 2021)

ROD: Reception-aware Online Distillation for Sparse Graphs. - Wentao Zhang 001; Yuezihan Jiang; Yang Li 106; Zeang Sheng; Yu Shen 003; Xupeng Miao; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (KDD, 2021)

RIM: Reliable Influence-based Active Learning on Graphs. - Wentao Zhang 001; Yexin Wang; Zhenbang You; Meng Cao; Ping Huang; Jiulong Shan; Zhi Yang 001; Bin Cui 001 (NeurIPS, 2021)

Node Dependent Local Smoothing for Scalable Graph Learning. - Wentao Zhang 001; Mingyu Yang; Zeang Sheng; Yang Li 106; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (NeurIPS, 2021)

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. - Wentao Zhang 001; Yu Shen 003; Yang Li 106; Lei Chen 002; Zhi Yang 001; Bin Cui 001 (SIGMOD Conference, 2021)

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Evaluating Deep Graph Neural Networks. - Wentao Zhang 001; Zeang Sheng; Yuezihan Jiang; Yikuan Xia; Jun Gao 003; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Graph Attention Multi-Layer Perceptron. - Wentao Zhang 001; Ziqi Yin; Zeang Sheng; Wen Ouyang; Xiaosen Li; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Enhanced review-based rating prediction by exploiting aside information and user influence. - Shiwen Wu; Yuanxing Zhang; Wentao Zhang 001; Kaigui Bian; Bin Cui 001 (Knowl. Based Syst., 2021)

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Jiawei Jiang 001; Yaliang Li; Bolin Ding; Jingren Zhou 001; Zhi Yang 001; Wentao Wu 001; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - Wentao Zhang 001; Zhi Yang 001; Yexin Wang; Yu Shen 003; Yang Li 106; Liang Wang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. - Yuezihan Jiang; Yu Cheng; Hanyu Zhao; Wentao Zhang 001; Xupeng Miao; Yu He; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (ICDE, 2022)

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). - Xupeng Miao; Wentao Zhang 001; Yingxia Shao; Bin Cui 001; Lei Chen 002; Ce Zhang 001; Jiawei Jiang 001 (ICDE, 2022)

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels. - Wentao Zhang 001; Yexin Wang; Zhenbang You; Meng Cao; Ping Huang; Jiulong Shan; Zhi Yang 001; Bin Cui 001 (ICLR, 2022)

Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. - Wentao Zhang 001; Zeang Sheng; Mingyu Yang; Yang Li 106; Yu Shen 003; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

Transfer Learning based Search Space Design for Hyperparameter Tuning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Tianyi Bai; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Wentao Zhang 001; Zhi Yang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

Model Degradation Hinders Deep Graph Neural Networks. - Wentao Zhang 001; Zeang Sheng; Ziqi Yin; Yuezihan Jiang; Yikuan Xia; Jun Gao 003; Zhi Yang 001; Bin Cui 001 (KDD, 2022)

Graph Attention Multi-Layer Perceptron. - Wentao Zhang 001; Ziqi Yin; Zeang Sheng; Yang Li 106; Wen Ouyang; Xiaosen Li; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (KDD, 2022)

DivBO: Diversity-aware CASH for Ensemble Learning. - Yu Shen 003; Yupeng Lu; Yang Li 106; Yaofeng Tu; Wentao Zhang 001; Bin Cui 001 (NeurIPS, 2022)

K-core decomposition on super large graphs with limited resources. - Shicheng Gao; Jie Xu 007; Xiaosen Li; Fangcheng Fu; Wentao Zhang 001; Wen Ouyang; Yangyu Tao; Bin Cui 001 (SAC, 2022)

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (WWW, 2022)

AutoDC: an automatic machine learning framework for disease classification. - Yang Bai; Yang Li 106; Yu Shen 003; Mingyu Yang; Wentao Zhang 001; Bin Cui 001 (Bioinform., 2022)

DFG-NAS: Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (CoRR, 2022)

Efficient End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (CoRR, 2022)

Diffusion Models: A Comprehensive Survey of Methods and Applications. - Ling Yang 006; Zhilong Zhang; Yang Song 011; Shenda Hong; Runsheng Xu; Yue Zhao 016; Yingxia Shao; Wentao Zhang 001; Ming-Hsuan Yang 001; Bin Cui 001 (CoRR, 2022)

Efficient Graph Neural Network Inference at Large Scale. - Xinyi Gao 001; Wentao Zhang 001; Yingxia Shao; Quoc Viet Hung Nguyen; Bin Cui 001; Hongzhi Yin (CoRR, 2022)

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. - Ling Yang 006; Zhilin Huang; Yang Song 011; Shenda Hong; Guohao Li 001; Wentao Zhang 001; Bin Cui 001; Bernard Ghanem; Ming-Hsuan Yang 001 (CoRR, 2022)

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Wentao Zhang 001; Jixiang Li; Ji Liu 002; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2022)

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. - Yu Shen 003; Yang Li 106; Jian Zheng; Wentao Zhang 001; Peng Yao; Jixiang Li; Sen Yang 004; Ji Liu 002; Bin Cui 001 (AAAI, 2023)

Graph-Enforced Neural Network for Attributed Graph Clustering. - Zeang Sheng; Wentao Zhang 001; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (APWeb-WAIM (1), 2023)

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. - Xinyi Gao 001; Wentao Zhang 001; Tong Chen 005; Junliang Yu; Nguyen Quoc Viet Hung; Hongzhi Yin (CIKM, 2023)

Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. - Ziqi Yin; Qi Zhang 010; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (ICDE, 2023)

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. - Yu Shen 003; Xinyuyang Ren; Yupeng Lu; Huaijun Jiang; Huanyong Xu; Di Peng; Yang Li 106; Wentao Zhang 001; Bin Cui 001 (KDD, 2023)

Improving Diffusion-Based Image Synthesis with Context Prediction. - Ling Yang 006; Jingwei Liu; Shenda Hong; Zhilong Zhang; Zhilin Huang; Zheming Cai; Wentao Zhang 001; Bin Cui 001 (NeurIPS, 2023)

Transfer Learning for Bayesian Optimization: A Survey. - Tianyi Bai; Yang Li 106; Yu Shen 003; Xinyi Zhang 002; Wentao Zhang 001; Bin Cui 001 (CoRR, 2023)

OpenBox: A Python Toolkit for Generalized Black-box Optimization. - Huaijun Jiang; Yu Shen 003; Yang Li 106; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (CoRR, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. - Yuxiang Wang; Xiao Yan 002; Chuang Hu; Fangcheng Fu; Wentao Zhang 001; Hao Wang 013; Shuo Shang; Jiawei Jiang 001 (CoRR, 2023)

Graph Neural Networks in Recommender Systems: A Survey. - Shiwen Wu; Fei Sun 001; Wentao Zhang 001; Xu Xie; Bin Cui 001 (ACM Comput. Surv., 2023)

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. - Yexin Wang; Zhi Yang 001; Junqi Liu; Wentao Zhang 001; Bin Cui 001 (Proc. ACM Manag. Data, 2023)

Towards General and Efficient Online Tuning for Spark. - Yang Li 106; Huaijun Jiang; Yu Shen 003; Yide Fang; Xiaofeng Yang; Danqing Huang; Xinyi Zhang 002; Wentao Zhang 001; Ce Zhang 001; Peng Chen; Bin Cui 001 (Proc. VLDB Endow., 2023)

FedGTA: Topology-aware Averaging for Federated Graph Learning. - Xunkai Li; Zhengyu Wu; Wentao Zhang 001; Yinlin Zhu; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2023)

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. - Xupeng Miao; Wentao Zhang 001; Yingxia Shao; Bin Cui 001; Lei Chen 002; Ce Zhang 001; Jiawei Jiang 001 (IEEE Trans. Knowl. Data Eng., 2023)

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (VLDB J., 2023)

P2CG: a privacy preserving collaborative graph neural network training framework. - Xupeng Miao; Wentao Zhang 001; Yuezihan Jiang; Fangcheng Fu; Yingxia Shao; Lei Chen 002; Yangyu Tao; Gang Cao; Bin Cui 001 (VLDB J., 2023)

Towards Effective and General Graph Unlearning via Mutual Evolution. - Xunkai Li; Yulin Zhao; Zhengyu Wu; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (AAAI, 2024)

MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification. - Tao Jiang; Haiyang Jiang 017; Xinyi Ma; Minghao Xu; Yan Liang; Wentao Zhang 001 (BIBM, 2024)

Physics-guided Active Sample Reweighting for Urban Flow Prediction. - Wei Jiang 006; Tong Chen 005; Guanhua Ye; Wentao Zhang 001; Lizhen Cui; Zi Huang; Hongzhi Yin (CIKM, 2024)

Graph Condensation for Inductive Node Representation Learning. - Xinyi Gao 001; Tong Chen 005; Yilong Zang; Wentao Zhang 001; Quoc Viet Hung Nguyen; Kai Zheng 001; Hongzhi Yin (ICDE, 2024)

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. - Xinyi Gao 001; Wentao Zhang 001; Junliang Yu; Yingxia Shao; Quoc Viet Hung Nguyen; Bin Cui 001; Hongzhi Yin (ICDE, 2024)

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. - Xunkai Li; Zhengyu Wu; Wentao Zhang 001; Henan Sun; Rong-Hua Li; Guoren Wang (ICDE, 2024)

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. - Yuxuan Liang; Wentao Zhang 001; Zeang Sheng; Ling Yang 006; Jiawei Jiang 001; Yunhai Tong; Bin Cui 001 (ICDE, 2024)

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. - Yuhao Tang; Junyu Luo 002; Ling Yang 006; Xiao Luo 001; Wentao Zhang 001; Bin Cui 001 (ICDE, 2024)

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. - Yuxiang Wang; Xiao Yan 002; Chuang Hu; Quanqing Xu; Chuanhui Yang; Fangcheng Fu; Wentao Zhang 001; Hao Wang 013; Bo Du 001; Jiawei Jiang 001 (ICDE, 2024)

BIM: Improving Graph Neural Networks with Balanced Influence Maximization. - Wentao Zhang 001; Xinyi Gao 001; Ling Yang 006; Meng Cao; Ping Huang; Jiulong Shan; Hongzhi Yin; Bin Cui 001 (ICDE, 2024)

NC-ALG: Graph-Based Active Learning Under Noisy Crowd. - Wentao Zhang 001; Yexin Wang; Zhenbang You; Yang Li 106; Gang Cao; Zhi Yang 001; Bin Cui 001 (ICDE, 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Zhilong Zhang; Wentao Zhang 001; Xiawu Zheng; Jie Chen 001; Yu Wang; Bin Cui 001; Wenming Yang (ICLR, 2024)

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Chujun Qin; Yijie Yu 001; Xiawu Zheng; Zikun Zhou; Wentao Zhang 001; Yu Wang; Wenming Yang (ICML, 2024)

Graph Condensation for Open-World Graph Learning. - Xinyi Gao 001; Tong Chen 005; Wentao Zhang 001; Yayong Li; Xiangguo Sun; Hongzhi Yin (KDD, 2024)

Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters. - Yifei Xia; Fangcheng Fu; Wentao Zhang 001; Jiawei Jiang 001; Bin Cui 001 (NeurIPS, 2024)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Shiyi Cao; Minkai Xu; Wentao Zhang 001; Joseph E. Gonzalez; Bin Cui 001 (NeurIPS, 2024)

Distribution-Aware Data Expansion with Diffusion Models. - Haowei Zhu; Ling Yang 006; Jun-Hai Yong; Hongzhi Yin; Jiawei Jiang 001; Meng Xiao; Wentao Zhang 001; Bin Wang (NeurIPS, 2024)

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. - Yuezihan Jiang; Changyu Li; Gaode Chen; Peiyi Li 008; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Fei Sun 001; Wentao Zhang 001 (RecSys, 2024)

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. - Wentao Zhang 001; Guochen Yan; Yu Shen 003; Ling Yang 006; Yangyu Tao; Bin Cui 001; Jian Tang 005 (SIGMOD Conference Companion, 2024)

Rethinking Node-wise Propagation for Large-scale Graph Learning. - Xunkai Li; Jingyuan Ma; Zhengyu Wu; Daohan Su; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (WWW, 2024)

Graph Condensation: A Survey. - Xinyi Gao 001; Junliang Yu; Wei Jiang 006; Tong Chen 005; Wentao Zhang 001; Hongzhi Yin (CoRR, 2024)

Retrieval-Augmented Generation for AI-Generated Content: A Survey. - Penghao Zhao; Hailin Zhang 004; Qinhan Yu; Zhengren Wang; Yunteng Geng; Fangcheng Fu; Ling Yang 006; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. - Jie Liu; Xuequn Shang 001; Xiaolin Han 002; Wentao Zhang 001; Hongzhi Yin (CoRR, 2024)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. - Xinyi Gao 001; Tong Chen 005; Wentao Zhang 001; Junliang Yu; Guanhua Ye; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. - Ling Yang 006; Bohan Zeng; Jiaming Liu; Hong Li 016; Minghao Xu; Wentao Zhang 001; Shuicheng Yan (CoRR, 2024)

A Survey of Multimodal Large Language Model from A Data-centric Perspective. - Tianyi Bai; Hao Liang; Binwang Wan; Ling Yang 006; Bozhou Li; Yifan Wang; Bin Cui 001; Conghui He; Binhang Yuan; Wentao Zhang 001 (CoRR, 2024)

Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data. - Linzhuang Sun; Hao Liang; Jingxuan Wei; Linkun Sun; Bihui Yu; Bin Cui 001; Wentao Zhang 001 (CoRR, 2024)

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. - Ling Yang 006; Zixiang Zhang; Zhilong Zhang; Xingchao Liu; Minkai Xu; Wentao Zhang 001; Chenlin Meng; Stefano Ermon; Bin Cui 001 (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 001; Chong Chen 001; Wentao Zhang 001 (CoRR, 2024)

PAS: Data-Efficient Plug-and-Play Prompt Augmentation System. - Miao Zheng; Hao Liang; Fan Yang 024; Haoze Sun; Tianpeng Li; Lingchu Xiong; Yan Zhang 109; Youzhen Wu; Kun Li; Yanjun Shen; Mingan Lin; Tao Zhang 001; et al. (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 001; Conghui He; Bin Cui 001; Wentao Zhang 001 (CoRR, 2024)

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. - Tao Zhang 001; Yanjun Shen; Wenjing Luo; Yan Zhang 109; Hao Liang; Tao Zhang 001; Fan Yang 024; Mingan Lin; Yujing Qiao; Weipeng Chen; Bin Cui 001; Wentao Zhang 001; et al. (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 109; Xiaoqin Huang; Yicong Chen; Yujing Qiao; Weipeng Chen; et al. (CoRR, 2024)

SysBench: Can Large Language Models Follow System Messages? - Yanzhao Qin; Tao Zhang 001; Tao Zhang 001; Yanjun Shen; Wenjing Luo; Haoze Sun; Yan Zhang 109; Yujing Qiao; Weipeng Chen; Zenan Zhou; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline. - Guosheng Dong; Da Pan 003; Yiding Sun; Shusen Zhang; Zheng Liang; Xin Wu; Yanjun Shen; Fan Yang 087; Haoze Sun; Tianpeng Li; Mingan Lin; Jianhua Xu; et al. (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 001; Rong-Hua Li; Guoren Wang (CoRR, 2024)

DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning. - Keer Lu; Zheng Liang; Xiaonan Nie; Da Pan 003; Shusen Zhang; Keshi Zhao; Weipeng Chen; Zenan Zhou; Guosheng Dong; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

Retrofitting Temporal Graph Neural Networks with Transformer. - Qiang Huang 009; Xiao Yan 002; Xin Wang 128; Susie Xi Rao; Zhichao Han 001; Fangcheng Fu; Wentao Zhang 001; Jiawei Jiang 001 (CoRR, 2024)

Data Proportion Detection for Optimized Data Management for Large Language Models. - Hao Liang; Keshi Zhao; Yajie Yang; Bin Cui 001; Guosheng Dong; Zenan Zhou; Wentao Zhang 001 (CoRR, 2024)

Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models. - Bozhou Li; Hao Liang; Yang Li 140; Fangcheng Fu; Hongzhi Yin; Conghui He; Wentao Zhang 001 (CoRR, 2024)

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. - Bohan Zeng; Ling Yang 006; Siyu Li; Jiaming Liu; Zixiang Zhang; Juanxi Tian; Kaixin Zhu; Yongzhen Guo; Fu-Yun Wang; Minkai Xu; Stefano Ermon; Wentao Zhang 001 (CoRR, 2024)

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Jiahui Peng; Xinlin Zhuang; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (CoRR, 2024)

FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback. - Youquan Li; Miao Zheng; Fan Yang 024; Guosheng Dong; Bin Cui 001; Weipeng Chen; Zenan Zhou; Wentao Zhang 001 (CoRR, 2024)

Baichuan Alignment Technical Report. - Mingan Lin; Fan Yang 024; Yanjun Shen; Haoze Sun; Tianpeng Li; Tao Zhang 001; Chenzheng Zhu; Tao Zhang 001; Miao Zheng; Xu Li; Yijie Zhou; Mingyang Chen; et al. (CoRR, 2024)

SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. - Jie Jiang 015; Haining Xie; Yu Shen 003; Zihan Zhang; Meng Lei; Yifeng Zheng; Yide Fang; Chunyou Li; Danqing Huang; Wentao Zhang 001; Yang Li 106; Xiaofeng Yang; et al. (CoRR, 2024)

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs. - Keer Lu; Keshi Zhao; Zheng Liang; Da Pan 003; Shusen Zhang; Xin Wu; Weipeng Chen; Zenan Zhou; Guosheng Dong; Bin Cui 001; Wentao Zhang 001 (CoRR, 2024)

Toward Personalized Federated Node Classification in One-shot Communication. - Guochen Yan; Xunkai Li; Luyuan Xie; Wentao Zhang 001; Qingni Shen; Yuejian Fang; Zhonghai Wu (CoRR, 2024)

Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. - Xinyi Gao 001; Yayong Li; Tong Chen 005; Guanhua Ye; Wentao Zhang 001; Hongzhi Yin (CoRR, 2024)

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. - Haiyang Jiang 017; Tong Chen 005; Wentao Zhang 001; Nguyen Quoc Viet Hung; Yuan Yuan 014; Yong Li; Lizhen Cui (CoRR, 2024)

OpenBox: A Python Toolkit for Generalized Black-box Optimization. - Huaijun Jiang; Yu Shen 003; Yang Li 106; Beicheng Xu; Sixian Du; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (J. Mach. Learn. Res., 2024)

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. - Ling Yang 006; Jiayi Zheng; Heyuan Wang 001; Zhongyi Liu; Zhilin Huang; Shenda Hong; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2024)

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. - Xunkai Li; Meihao Liao; Zhengyu Wu; Daohan Su; Wentao Zhang 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2024)

Diffusion Models: A Comprehensive Survey of Methods and Applications. - Ling Yang 006; Zhilong Zhang; Yang Song 011; Shenda Hong; Runsheng Xu; Yue Zhao 016; Wentao Zhang 001; Bin Cui 001; Ming-Hsuan Yang 001 (ACM Comput. Surv., 2024)

OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine. - Zeang Sheng; Wentao Zhang 001; Yangyu Tao; Bin Cui 001 (Proc. VLDB Endow., 2024)

Distributed Graph Neural Network Training: A Survey. - Yingxia Shao; Hongzheng Li; Xizhi Gu; Hongbo Yin; Yawen Li 001; Xupeng Miao; Wentao Zhang 001; Bin Cui 001; Lei Chen 002 (ACM Comput. Surv., 2024)

Graphusion: Latent Diffusion for Graph Generation. - Ling Yang 006; Zhilin Huang; Zhilong Zhang; Zhongyi Liu; Shenda Hong; Wentao Zhang 001; Wenming Yang; Bin Cui 001; Luxia Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Towards Scalable and Deep Graph Neural Networks via Noise Masking. - Yuxuan Liang; Wentao Zhang 001; Zeang Sheng; Ling Yang 006; Quanqing Xu; Jiawei Jiang 001; Yunhai Tong; Bin Cui 001 (AAAI, 2025)

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. - Guochen Yan; Luyuan Xie; Xinyi Gao 001; Wentao Zhang 001; Qingni Shen; Yuejian Fang; Zhonghai Wu (AAAI, 2025)

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Fupeng Sun; Xinlin Zhuang; Jiahui Peng; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (ACL (1), 2025)

Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning. - Peichao Lai; Zhengfeng Zhang; Wentao Zhang 001; Fangcheng Fu; Bin Cui 001 (ACL (1), 2025)

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification. - Linzhuang Sun; Hao Liang; Jingxuan Wei; Bihui Yu; Tianpeng Li; Fan Yang 024; Zenan Zhou; Wentao Zhang 001 (ACL (1), 2025)

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. - Tao Zhang 001; Chenglin Zhu; Yanjun Shen; Wenjing Luo; Yan Zhang 109; Hao Liang; Fan Yang 024; Mingan Lin; Yujing Qiao; Weipeng Chen; Bin Cui 001; Wentao Zhang 001; et al. (ACL (1), 2025)

Training-Free Heterogeneous Graph Condensation via Data Selection. - Yuxuan Liang; Wentao Zhang 001; Xinyi Gao 001; Ling Yang 006; Chong Chen 001; Hongzhi Yin; Yunhai Tong; Bin Cui 001 (ICDE, 2025)

Training Data Distribution Estimation for Optimized Pre-training Data Management. - Hao Liang; Keshi Zhao; Yajie Yang; Bin Cui 001; Zenan Zhou; Wentao Zhang 001 (ICDE, 2025)

DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training. - Keer Lu; Xiaonan Nie; Zheng Liang; Da Pan 003; Shusen Zhang; Keshi Zhao; Weipeng Chen; Zenan Zhou; Guosheng Dong; Bin Cui 001; Wentao Zhang 001 (ICDE, 2025)

Towards Scalable and Efficient Graph Structure Learning. - Siqi Shen; Wentao Zhang 001; Chengshuo Du; Chong Chen 001; Fangcheng Fu; Yingxia Shao; Bin Cui 001 (ICDE, 2025)

PAS: Plug-and-Play Prompt Augmentation System. - Miao Zheng; Hao Liang; Fan Yang 024; Bin Cui 001; Zenan Zhou; Wentao Zhang 001 (ICDE, 2025)

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning. - Mingyang Chen; Haoze Sun; Tianpeng Li; Fan Yang 024; Hao Liang; Keer Lu; Bin Cui 001; Wentao Zhang 001; Zenan Zhou; Weipeng Chen (ICLR, 2025)

SysBench: Can LLMs Follow System Message? - Yanzhao Qin; Tao Zhang 001; Tao Zhang 001; Yanjun Shen; Wenjing Luo; Haoze Sun; Yan Zhang 109; Yujing Qiao; Weipeng Chen; Zenan Zhou; Wentao Zhang 001; Bin Cui 001 (ICLR, 2025)

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. - Minghao Xu; Yunteng Geng; Yihang Zhang; Ling Yang 006; Jian Tang 005; Wentao Zhang 001 (ICLR, 2025)

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. - Bohan Zeng; Shanglin Li; Yutang Feng; Ling Yang 006; Juan Zhang; Hong Li 016; Jiaming Liu; Conghui He; Wentao Zhang 001; Jianzhuang Liu; Baochang Zhang 001; Shuicheng Yan (ICLR, 2025)

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation. - Qinhan Yu; Zhiyou Xiao; Binghui Li; Zhengren Wang; Chong Chen 001; Wentao Zhang 001 (SIGIR, 2025)

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. - Xinyi Gao 001; Guanhua Ye; Tong Chen 005; Wentao Zhang 001; Junliang Yu; Hongzhi Yin (WWW, 2025)

Epidemiology-informed Network for Robust Rumor Detection. - Wei Jiang 006; Tong Chen 005; Xinyi Gao 001; Wentao Zhang 001; Lizhen Cui; Hongzhi Yin (WWW, 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 001; Wentao Zhang 001; Tao Xie 001 (Proc. ACM Softw. Eng., 2025)

Data and System Perspectives of Sustainable Artificial Intelligence. - Tao Xie 001; David Harel; Dezhi Ran; Zhenwen Li; Maoliang Li; Zhi Yang 001; Leye Wang; Xiang Chen; Ying Zhang 012; Wentao Zhang 001; Meng Li; Chen Zhang 001; et al. (CoRR, 2025)

Med-R2: Crafting Trustworthy LLM Physicians through Retrieval and Reasoning of Evidence-Based Medicine. - Keer Lu; Zheng Liang; Da Pan 003; Shusen Zhang; Xin Wu; Weipeng Chen; Zenan Zhou; Guosheng Dong; Bin Cui 001; Wentao Zhang 001 (CoRR, 2025)

Baichuan-Omni-1.5 Technical Report. - Yadong Li; Jun Liu; Tao Zhang 001; Tao Zhang 001; Song Chen; Tianpeng Li; Zehuan Li; Lijun Liu; Lingfeng Ming; Guosheng Dong; Da Pan 003; Chong Li; et al. (CoRR, 2025)

Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks. - Hailong Guo; Bohan Zeng; Yiren Song; Wentao Zhang 001; Chuang Zhang; Jiaming Liu (CoRR, 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 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2025)

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation. - Siqi Shen; Yu Liu; Daniel Biggs; Omar Hafez; Jiandong Yu; Wentao Zhang 001; Bin Cui 001; Jiulong Shan (CoRR, 2025)

A Comprehensive Survey on Imbalanced Data Learning. - Xinyi Gao 001; Dongting Xie; Yihang Zhang; Zhengren Wang; Conghui He; Hongzhi Yin; Wentao Zhang 001 (CoRR, 2025)

HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation. - Ling Yang 006; Xinchen Zhang; Ye Tian; Chenming Shang; Minghao Xu; Wentao Zhang 001; Bin Cui 001 (CoRR, 2025)

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification. - Linzhuang Sun; Hao Liang; Jingxuan Wei; Bihui Yu; Tianpeng Li; Fan Yang 087; Zenan Zhou; Wentao Zhang 001 (CoRR, 2025)

MathClean: A Benchmark for Synthetic Mathematical Data Cleaning. - Hao Liang; Meiyi Qiang; Yuying Li 006; Zefeng He; Yongzhen Guo; Zhengzhou Zhu; Wentao Zhang 001; Bin Cui 001 (CoRR, 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 001; Bin Cui 001 (CoRR, 2025)

WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes. - Ling Yang 006; Kaixin Zhu; Juanxi Tian; Bohan Zeng; Mingbao Lin; Hongjuan Pei; Wentao Zhang 001; Shuicheng Yan (CoRR, 2025)

FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding. - Zheng Liu; Mengjie Liu; Jingzhou Chen; Jingwei Xu; Bin Cui 001; Conghui He; Wentao Zhang 001 (CoRR, 2025)

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model. - Yang Shi 009; Jiaheng Liu; Yushuo Guan; Zhenhua Wu; Yuanxing Zhang; Zihao Wang; Weihong Lin; Jingyun Hua; Zekun Wang; Xinlong Chen; Bohan Zeng; Wentao Zhang 001; et al. (CoRR, 2025)

Graph Condensation: A Survey. - Xinyi Gao 001; Junliang Yu; Tong Chen 005; Guanhua Ye; Wentao Zhang 001; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2025)

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 002; Jinhao Yan; Yanwei Xu; Conghui He; Yilei Wang; Wentao Zhang 001; Bin Cui 001 (CoRR, 2025)

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 001; Wentao Zhang 001 (CoRR, 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 001; Wentao Zhang 001 (CoRR, 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 001; Wentao Zhang 001 (CoRR, 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 001; Wentao Zhang 001 (CoRR, 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 001; Lei Zhang 006; Hongsheng Li 001 (CoRR, 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 001; Binhang Yuan (CoRR, 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 001 (CoRR, 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 001; Wentao Zhang 001 (CoRR, 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 001 (CoRR, 2025)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Xiaonan Nie; Jiawei Jiang 001; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2025)

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. - Junyu Luo 002; Yuhao Tang; Yiwei Fu; Xiao Luo 001; Zhizhuo Kou; Zhiping Xiao 001; Wei Ju 001; Wentao Zhang 001; Ming Zhang 004 (CoRR, 2025)

PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning. - Keer Lu; Chong Chen 001; Bin Cui 001; Huang Leng; Wentao Zhang 001 (CoRR, 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 001; Wentao Zhang 001 (CoRR, 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 001 (CoRR, 2025)

RobGC: Towards Robust Graph Condensation. - Xinyi Gao 001; Hongzhi Yin; Tong Chen 005; Guanhua Ye; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2025)