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ORCIDWentao Zhang 0001
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): Mila - Québec AI Institute, HEC Montréal, Canada
Other persons with the same name
- Wentao Zhang — disambiguation page
- Wentao Zhang 0002
![[0000-0003-4869-6564]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4869-6564")
— Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China - Wentao Zhang 0003 — Nanyang Technological University, Singapore
- Wentao Zhang 0004 — Southeast University, Nanjing, China
- Wentao Zhang 0005 — Sun Yat-sen University, Guangzhou, China
- Wentao Zhang 0006 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
- Wentao Zhang 0007 — Nanyang Technological University, College of Computing and Data Science, Singapore
- Wentao Zhang 0008 — ShanghaiTech University, Shanghai, China
- Wentao Zhang 0009 — Inha University, Graduate School of Logistics, Incheon, Korea
- Wentao Zhang 0010 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
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2020 – today
- 2025
[j27]Yingjie Fu, Bozhou Li, Linyi Li, Wentao Zhang, Tao Xie:
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation. Proc. ACM Softw. Eng. 2(ISSTA): 1583-1606 (2025)- [j26]Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Ronghua Li, Guoren Wang:
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. Proc. VLDB Endow. 18(5): 1305-1320 (2025) - [j25]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:
SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence. Proc. VLDB Endow. 18(12): 4860-4873 (2025) - [j24]Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. IEEE Trans. Knowl. Data Eng. 37(4): 1819-1837 (2025) - [j23]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. IEEE Trans. Knowl. Data Eng. 37(6): 3173-3192 (2025) - [j22]Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. IEEE Trans. Knowl. Data Eng. 37(8): 4791-4804 (2025) - [c72]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. AAAI 2025: 18693-18701 - [c71]Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu:
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. AAAI 2025: 21904-21912 - [c70]Peichao Lai, Zhengfeng Zhang, Wentao Zhang, Fangcheng Fu, Bin Cui:
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning. ACL (1) 2025: 4919-4940 - [c69]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:
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. ACL (1) 2025: 9465-9491 - [c68]Linzhuang Sun, Hao Liang, Jingxuan Wei, Bihui Yu, Tianpeng Li, Fan Yang, Zenan Zhou, Wentao Zhang:
MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification. ACL (1) 2025: 14100-14115 - [c67]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:
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. ACL (1) 2025: 32926-32944 - [c66]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:
Towards Precise Scaling Laws for Video Diffusion Transformers. CVPR 2025: 18155-18165 - [c65]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-Free Heterogeneous Graph Condensation via Data Selection. ICDE 2025: 1718-1731 - [c64]Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, Bin Cui:
Towards Scalable and Efficient Graph Structure Learning. ICDE 2025: 1759-1772 - [c63]Miao Zheng, Hao Liang, Fan Yang, Bin Cui, Zenan Zhou, Wentao Zhang:
PAS: Plug-and-Play Prompt Augmentation System. ICDE 2025: 4197-4210 - [c62]Keer Lu, Xiaonan Nie, Zheng Liang, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang:
DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training. ICDE 2025: 4234-4247 - [c61]Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Zenan Zhou, Wentao Zhang:
Training Data Distribution Estimation for Optimized Pre-training Data Management. ICDE 2025: 4640-4648 - [c60]Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen:
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning. ICLR 2025 - [c59]Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui:
SysBench: Can LLMs Follow System Message? ICLR 2025 - [c58]Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang:
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. ICLR 2025 - [c57]Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan:
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. ICLR 2025 - [c56]Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang:
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. ICML 2025 - [c55]Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang:
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training. ICML 2025 - [c54]Zheng Chen, Feng Zhang, Yifei Xia, Wentao Zhang, Xiaowei Zhu, Wenguang Chen, Xiaoyong Du:
CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression. KDD (2) 2025: 286-297 - [c53]Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin:
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. KDD (2) 2025: 661-672 - [c52]Zeang Sheng, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui:
LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification. KDD (2) 2025: 2526-2537 - [c51]Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin:
Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts. ECML/PKDD (3) 2025: 141-159 - [c50]Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang:
MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation. SIGIR 2025: 3616-3626 - [c49]Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin:
Epidemiology-informed Network for Robust Rumor Detection. WWW 2025: 3618-3627 - [c48]Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin:
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. WWW 2025: 4359-4373 - [i134]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:
Data and System Perspectives of Sustainable Artificial Intelligence. CoRR abs/2501.07487 (2025) - [i133]Keer Lu, Zheng Liang, Da Pan, Shusen Zhang, Xin Wu, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang:
Med-R2: Crafting Trustworthy LLM Physicians through Retrieval and Reasoning of Evidence-Based Medicine. CoRR abs/2501.11885 (2025) - [i132]Yadong Li, Jun Liu, Tao Zhang, Song Chen, Tianpeng Li, Zehuan Li, Lijun Liu, Lingfeng Ming, Guosheng Dong, Da Pan, Chong Li, Yuanbo Fang, Dongdong Kuang, Mingrui Wang, Chenglin Zhu, Youwei Zhang, Hongyu Guo, Fengyu Zhang, Yuran Wang, Bowen Ding, Wei Song, Xu Li, Yuqi Huo, Zheng Liang, Shusen Zhang, Xin Wu, Shuai Zhao, Linchu Xiong, Yozhen Wu, Jiahui Ye, Wenhao Lu, Bowen Li, Yan Zhang, Yaqi Zhou, Xin Chen, Lei Su, Hongda Zhang, Fuzhong Chen, Xuezhen Dong, Na Nie, Zhiying Wu, Bin Xiao, Ting Li, Shunya Dang, Ping Zhang, Yijia Sun, Jincheng Wu, Jinjie Yang, Xionghai Lin, Zhi Ma, Kegeng Wu, Jia Li, Aiyuan Yang, Hui Liu, Jianqiang Zhang, Xiaoxi Chen, Guangwei Ai, Wentao Zhang, Yicong Chen, Xiaoqin Huang, Kun Li, Wenjing Luo, Yifei Duan, Lingling Zhu, Ran Xiao, Zhe Su, Jiani Pu, Dian Wang, Xu Jia, Tianyu Zhang, Mengyu Ai, Mang Wang, Yujing Qiao, Lei Zhang, Yanjun Shen, Fan Yang, Miao Zhen, Yijie Zhou, Mingyang Chen, Fei Li, Chenzheng Zhu, Keer Lu, Yaqi Zhao, Hao Liang, Youquan Li, Yanzhao Qin, Linzhuang Sun, Jianhua Xu, Haoze Sun, Mingan Lin, Zenan Zhou, Weipeng Chen:
Baichuan-Omni-1.5 Technical Report. CoRR abs/2501.15368 (2025) - [i131]Hailong Guo, Bohan Zeng, Yiren Song, Wentao Zhang, Chuang Zhang, Jiaming Liu:
Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks. CoRR abs/2501.15891 (2025) - [i130]Siqi Shen, Yu Liu, Daniel Biggs, Omar Hafez, Jiandong Yu, Wentao Zhang, Bin Cui, Jiulong Shan:
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation. CoRR abs/2502.06848 (2025) - [i129]Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin, Wentao Zhang:
A Comprehensive Survey on Imbalanced Data Learning. CoRR abs/2502.08960 (2025) - [i128]Ling Yang, Xinchen Zhang, Ye Tian, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui:
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation. CoRR abs/2502.12148 (2025) - [i127]Linzhuang Sun, Hao Liang, Jingxuan Wei, Bihui Yu, Tianpeng Li, Fan Yang, Zenan Zhou, Wentao Zhang:
MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification. CoRR abs/2502.13383 (2025) - [i126]Hao Liang, Meiyi Qiang, Yuying Li, Zefeng He, Yongzhen Guo, Zhengzhou Zhu, Wentao Zhang, Bin Cui:
MathClean: A Benchmark for Synthetic Mathematical Data Cleaning. CoRR abs/2502.19058 (2025) - [i125]Lu Ma, Kaibo Cao, Hao Liang, Jiaxin Lin, Zhuang Li, Yuhong Liu, Jihong Zhang, Wentao Zhang, Bin Cui:
Evaluating and Predicting Distorted Human Body Parts for Generated Images. CoRR abs/2503.00811 (2025) - [i124]Ruichuan An, Kai Zeng, Ming Lu, Sihan Yang, Renrui Zhang, Huitong Ji, Qizhe Zhang, Yulin Luo, Hao Liang, Wentao Zhang:
Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization. CoRR abs/2503.12999 (2025) - [i123]Ling Yang, Kaixin Zhu, Juanxi Tian, Bohan Zeng, Mingbao Lin, Hongjuan Pei, Wentao Zhang, Shuicheng Yan:
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes. CoRR abs/2503.13435 (2025) - [i122]Zheng Liu, Mengjie Liu, Jingzhou Chen, Jingwei Xu, Bin Cui, Conghui He, Wentao Zhang:
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding. CoRR abs/2504.09925 (2025) - [i121]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:
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model. CoRR abs/2504.10068 (2025) - [i120]Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Yilei Wang, Wentao Zhang, Bin Cui:
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models. CoRR abs/2505.07247 (2025) - [i119]Mingrui Chen, Haogeng Liu, Hao Liang, Huaibo Huang, Wentao Zhang, Ran He:
Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning. CoRR abs/2505.13261 (2025) - [i118]Chengyu Shen, Zhen Hao Wong, Runming He, Hao Liang, Meiyi Qiang, Zimo Meng, Zhengyang Zhao, Bohan Zeng, Zhengzhou Zhu, Bin Cui, Wentao Zhang:
Let's Verify Math Questions Step by Step. CoRR abs/2505.13903 (2025) - [i117]Qifeng Cai, Hao Liang, Hejun Dong, Meiyi Qiang, Ruichuan An, Zhaoyang Han, Zhengzhou Zhu, Bin Cui, Wentao Zhang:
LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts. CoRR abs/2505.13928 (2025) - [i116]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:
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens. CoRR abs/2505.14671 (2025) - [i115]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:
On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR abs/2505.20246 (2025) - [i114]Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang:
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training. CoRR abs/2506.01376 (2025) - [i113]Zhen Hao Wong, Jingwen Deng, Runming He, Zirong Chen, Qijie You, Hejun Dong, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang:
LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning. CoRR abs/2506.04821 (2025) - [i112]Weifeng Lin, Xinyu Wei, Ruichuan An, Tianhe Ren, Tingwei Chen, Renrui Zhang, Ziyu Guo, Wentao Zhang, Lei Zhang, Hongsheng Li:
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos. CoRR abs/2506.05302 (2025) - [i111]Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan:
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning. CoRR abs/2506.07227 (2025) - [i110]Tianyi Bai, Zengjie Hu, Fupeng Sun, Jiantao Qiu, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang:
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification. CoRR abs/2506.07235 (2025) - [i109]Lu Ma, Hao Liang, Meiyi Qiang, Lexiang Tang, Xiaochen Ma, Zhen Hao Wong, Junbo Niu, Chengyu Shen, Runming He, Bin Cui, Wentao Zhang:
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions. CoRR abs/2506.07527 (2025) - [i108]Junbo Niu, Yuanhong Zheng, Ziyang Miao, Hejun Dong, Chunjiang Ge, Hao Liang, Ma Lu, Bohan Zeng, Qiahao Zheng, Conghui He, Wentao Zhang:
Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models. CoRR abs/2506.12776 (2025) - [i107]Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang:
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. CoRR abs/2507.07621 (2025) - [i106]Keer Lu, Chong Chen, Bin Cui, Huang Leng, Wentao Zhang:
PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning. CoRR abs/2508.00344 (2025) - [i105]Zhiyou Xiao, Qinhan Yu, Binghui Li, Geng Chen, Chong Chen, Wentao Zhang:
M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation. CoRR abs/2508.06328 (2025) - [i104]Sihan Yang, Huitong Ji, Shaolin Lu, Jiayi Chen, Binxiao Xu, Ming Lu, Yuanxing Zhang, Wenhui Dong, Wentao Zhang:
Small-Large Collaboration: Training-efficient Concept Personalization for Large VLM using a Meta Personalized Small VLM. CoRR abs/2508.07260 (2025) - [i103]Hao Liang, Ruitao Wu, Bohan Zeng, Junbo Niu, Wentao Zhang, Bin Dong:
Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge. CoRR abs/2509.06079 (2025) - [i102]Jie Jiang, Siqi Shen, Haining Xie, Yang Li, Yu Shen, Danqing Huang, Bo Qian, Yinjun Wu, Wentao Zhang, Bin Cui, Peng Chen:
SQLGovernor: An LLM-powered SQL Toolkit for Real World Application. CoRR abs/2509.08575 (2025) - [i101]Zheng Liu, Mengjie Liu, Siwei Wen, Mengzhang Cai, Bin Cui, Conghui He, Wentao Zhang:
From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token's Nature. CoRR abs/2509.16591 (2025) - [i100]Jingyu Zhou, Lu Ma, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang:
DARO: Difficulty-Aware Reweighting Policy Optimization. CoRR abs/2510.09001 (2025) - [i99]Yuying Li, Siyi Qian, Hao Liang, Leqi Zheng, Ruichuan An, Yongzhen Guo, Wentao Zhang:
CapGeo: A Caption-Assisted Approach to Geometric Reasoning. CoRR abs/2510.09302 (2025) - [i98]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:
Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks. CoRR abs/2510.19195 (2025) - [i97]Binxiao Xu, Junyu Feng, Ruichuan An, Yulin Luo, Shilin Yan, Hao Liang, Ming Lu, Wentao Zhang:
Jarvis: Towards Personalized AI Assistant via Personal KV-Cache Retrieval. CoRR abs/2510.22765 (2025) - [i96]Linzhuang Sun, Tianyu Guo, Hao Liang, Yuying Li, Qifeng Cai, Jingxuan Wei, Bihui Yu, Wentao Zhang, Bin Cui:
Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration. CoRR abs/2510.26495 (2025) - 2024
- [j21]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang:
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56(4): 105:1-105:39 (2024) - [j20]Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. ACM Comput. Surv. 56(8): 191:1-191:39 (2024) - [j19]Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui:
OpenBox: A Python Toolkit for Generalized Black-box Optimization. J. Mach. Learn. Res. 25: 120:1-120:11 (2024) - [j18]Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang:
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. Proc. VLDB Endow. 17(7): 1542-1551 (2024) - [j17]Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui:
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine. Proc. VLDB Endow. 17(11): 2960-2973 (2024) - [j16]Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. 36(2): 682-693 (2024) - [j15]Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang:
Graphusion: Latent Diffusion for Graph Generation. IEEE Trans. Knowl. Data Eng. 36(11): 6358-6369 (2024) - [c47]Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. AAAI 2024: 13682-13690 - [c46]Tao Jiang, Haiyang Jiang, Xinyi Ma, Minghao Xu, Yan Liang, Wentao Zhang:
MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification. BIBM 2024: 956-961 - [c45]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CIKM 2024: 1004-1014 - [c44]Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. ICDE 2024: 2517-2530 - [c43]Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. ICDE 2024: 2598-2611 - [c42]Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui:
NC-ALG: Graph-Based Active Learning Under Noisy Crowd. ICDE 2024: 2681-2694 - [c41]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE 2024: 2779-2791 - [c40]Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui:
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE 2024: 2931-2944 - [c39]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE 2024: 3042-3055 - [c38]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. ICDE 2024: 3056-3069 - [c37]Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. ICDE 2024: 3364-3378 - [c36]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR 2024 - [c35]Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang:
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR 2024 - [c34]Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang:
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. ICML 2024 - [c33]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. KDD 2024: 851-862 - [c32]Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui:
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters. NeurIPS 2024 - [c31]Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. NeurIPS 2024 - [c30]Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang:
Distribution-Aware Data Expansion with Diffusion Models. NeurIPS 2024 - [c29]Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang:
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. RecSys 2024: 538-548 - [c28]Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang:
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion 2024: 414-427 - [c27]Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. WWW 2024: 560-569 - [i95]Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR abs/2401.02015 (2024) - [i94]Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. CoRR abs/2401.11720 (2024) - [i93]Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. CoRR abs/2401.11750 (2024) - [i92]Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. CoRR abs/2401.11755 (2024) - [i91]Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. CoRR abs/2401.11760 (2024) - [i90]Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. CoRR abs/2401.11772 (2024) - [i89]Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. CoRR abs/2402.06128 (2024) - [i88]Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui:
Retrieval-Augmented Generation for AI-Generated Content: A Survey. CoRR abs/2402.19473 (2024) - [i87]Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang:
Distribution-Aware Data Expansion with Diffusion Models. CoRR abs/2403.06741 (2024) - [i86]Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin:
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. CoRR abs/2403.09039 (2024) - [i85]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. CoRR abs/2405.04114 (2024) - [i84]Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR abs/2405.13707 (2024) - [i83]Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan:
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. CoRR abs/2405.14785 (2024) - [i82]Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang:
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. CoRR abs/2405.16206 (2024) - [i81]Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang:
A Survey of Multimodal Large Language Model from A Data-centric Perspective. CoRR abs/2405.16640 (2024) - [i80]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. CoRR abs/2405.17003 (2024) - [i79]Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR abs/2406.04271 (2024) - [i78]Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. CoRR abs/2406.13200 (2024) - [i77]Linzhuang Sun, Hao Liang, Jingxuan Wei, Linkun Sun, Bihui Yu, Bin Cui, Wentao Zhang:
Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data. CoRR abs/2407.01937 (2024) - [i76]Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui:
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR abs/2407.02398 (2024) - [i75]Hao Liang, Jiapeng Li, Tianyi Bai, Xijie Huang, Linzhuang Sun, Zhengren Wang, Conghui He, Bin Cui, Chong Chen, Wentao Zhang:
KeyVideoLLM: Towards Large-scale Video Keyframe Selection. CoRR abs/2407.03104 (2024) - [i74]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:
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System. CoRR abs/2407.06027 (2024) - [i73]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - [i72]Zheng Liu, Hao Liang, Xijie Huang, Wentao Xiong, Qinhan Yu, Linzhuang Sun, Chong Chen, Conghui He, Bin Cui, Wentao Zhang:
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models. CoRR abs/2407.20756 (2024) - [i71]Hao Liang, Linzhuang Sun, Jingxuan Wei, Xijie Huang, Linkun Sun, Bihui Yu, Conghui He, Wentao Zhang:
Synth-Empathy: Towards High-Quality Synthetic Empathy Data. CoRR abs/2407.21669 (2024) - [i70]Tao Zhang, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. CoRR abs/2408.01122 (2024) - [i69]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:
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark. CoRR abs/2408.07543 (2024) - [i68]Yanzhao Qin, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui:
SysBench: Can Large Language Models Follow System Messages? CoRR abs/2408.10943 (2024) - [i67]Yuanyang Yin, Yaqi Zhao, Yajie Zhang, Ke Lin, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Baoqun Yin, Wentao Zhang:
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs. CoRR abs/2408.11813 (2024) - [i66]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:
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline. CoRR abs/2408.15079 (2024) - [i65]Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. CoRR abs/2408.16288 (2024) - [i64]Keer Lu, Zheng Liang, Xiaonan Nie, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Wentao Zhang, Bin Cui:
DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning. CoRR abs/2409.00997 (2024) - [i63]Qiang Huang, Xiao Yan, Xin Wang, Susie Xi Rao, Zhichao Han, Fangcheng Fu, Wentao Zhang, Jiawei Jiang:
Retrofitting Temporal Graph Neural Networks with Transformer. CoRR abs/2409.05477 (2024) - [i62]Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Guosheng Dong, Zenan Zhou, Wentao Zhang:
Data Proportion Detection for Optimized Data Management for Large Language Models. CoRR abs/2409.17527 (2024) - [i61]Linzhuang Sun, Hao Liang, Jingxuan Wei, Bihui Yu, Conghui He, Zenan Zhou, Wentao Zhang:
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search. CoRR abs/2409.17972 (2024) - [i60]Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang:
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models. CoRR abs/2410.05802 (2024) - [i59]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:
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. CoRR abs/2410.07155 (2024) - [i58]Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He:
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. CoRR abs/2410.08102 (2024) - [i57]Youquan Li, Miao Zheng, Fan Yang, Guosheng Dong, Bin Cui, Weipeng Chen, Zenan Zhou, Wentao Zhang:
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback. CoRR abs/2410.09412 (2024) - [i56]Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen:
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning. CoRR abs/2410.12952 (2024) - [i55]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:
Baichuan Alignment Technical Report. CoRR abs/2410.14940 (2024) - [i54]Qintong Zhang, Victor Shea-Jay Huang, Bin Wang, Junyuan Zhang, Zhengren Wang, Hao Liang, Shawn Wang, Matthieu Lin, Conghui He, Wentao Zhang:
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction. CoRR abs/2410.21169 (2024) - [i53]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:
SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. CoRR abs/2411.06102 (2024) - [i52]Yingjie Fu, Bozhou Li, Linyi Li, Wentao Zhang, Tao Xie:
The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-based Code Generation. CoRR abs/2411.06774 (2024) - [i51]Hao Liang, Zirong Chen, Wentao Zhang:
EVQAScore: Efficient Video Question Answering Data Evaluation. CoRR abs/2411.06908 (2024) - [i50]Keer Lu, Keshi Zhao, Zheng Liang, Da Pan, Shusen Zhang, Xin Wu, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang:
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs. CoRR abs/2411.11266 (2024) - [i49]Guochen Yan, Xunkai Li, Luyuan Xie, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu:
Toward Personalized Federated Node Classification in One-shot Communication. CoRR abs/2411.11304 (2024) - [i48]Ruichuan An, Sihan Yang, Ming Lu, Kai Zeng, Yulin Luo, Ying Chen, Jiajun Cao, Hao Liang, Qi She, Shanghang Zhang, Wentao Zhang:
MC-LLaVA: Multi-Concept Personalized Vision-Language Model. CoRR abs/2411.11706 (2024) - [i47]Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin:
Epidemiology-informed Network for Robust Rumor Detection. CoRR abs/2411.12949 (2024) - [i46]Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin:
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. CoRR abs/2411.17063 (2024) - [i45]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:
Towards Precise Scaling Laws for Video Diffusion Transformers. CoRR abs/2411.17470 (2024) - [i44]Haiyang Jiang, Tong Chen, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui:
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. CoRR abs/2412.05534 (2024) - [i43]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. CoRR abs/2412.14602 (2024) - [i42]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-free Heterogeneous Graph Condensation via Data Selection. CoRR abs/2412.16250 (2024) - [i41]Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu:
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. CoRR abs/2412.18557 (2024) - 2023
- [j14]Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55(5): 97:1-97:37 (2023) - [j13]Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui:
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. Proc. ACM Manag. Data 1(2): 146:1-146:21 (2023) - [j12]Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui:
Towards General and Efficient Online Tuning for Spark. Proc. VLDB Endow. 16(12): 3570-3583 (2023) - [j11]Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. Proc. VLDB Endow. 17(1): 41-50 (2023) - [j10]Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35(2): 1721-1733 (2023) - [j9]Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. VLDB J. 32(2): 389-413 (2023) - [j8]Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:
P2CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32(4): 717-736 (2023) - [c26]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI 2023: 9792-9801 - [c25]Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Graph-Enforced Neural Network for Attributed Graph Clustering. APWeb-WAIM (1) 2023: 111-126 - [c24]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM 2023: 545-555 - [c23]Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. ICDE 2023: 1665-1677 - [c22]Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui:
Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. KDD 2023: 4800-4812 - [c21]Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS 2023 - [i40]Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui:
DivBO: Diversity-aware CASH for Ensemble Learning. CoRR abs/2302.03255 (2023) - [i39]Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui:
Rover: An online Spark SQL tuning service via generalized transfer learning. CoRR abs/2302.04046 (2023) - [i38]Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui:
Transfer Learning for Bayesian Optimization: A Survey. CoRR abs/2302.05927 (2023) - [i37]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR abs/2302.14061 (2023) - [i36]Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. CoRR abs/2303.03705 (2023) - [i35]Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui:
OpenBox: A Python Toolkit for Generalized Black-box Optimization. CoRR abs/2304.13339 (2023) - [i34]Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. CoRR abs/2306.15902 (2023) - [i33]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. CoRR abs/2307.15967 (2023) - [i32]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR abs/2308.02117 (2023) - [i31]Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui:
Towards General and Efficient Online Tuning for Spark. CoRR abs/2309.01901 (2023) - [i30]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR abs/2310.10998 (2023) - [i29]Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. CoRR abs/2310.15523 (2023) - 2022
- [j7]Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui:
AutoDC: an automatic machine learning framework for disease classification. Bioinform. 38(13): 3415-3421 (2022) - [j6]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. 15(6): 1256-1265 (2022) - [j5]Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1462-1476 (2022) - [c20]Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). ICDE 2022: 1561-1562 - [c19]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. ICDE 2022: 2224-2236 - [c18]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels. ICLR 2022 - [c17]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
Deep and Flexible Graph Neural Architecture Search. ICML 2022: 26362-26374 - [c16]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML 2022: 26467-26483 - [c15]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD 2022: 956-966 - [c14]Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
Transfer Learning based Search Space Design for Hyperparameter Tuning. KDD 2022: 967-977 - [c13]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. KDD 2022: 2493-2503 - [c12]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. KDD 2022: 4560-4570 - [c11]Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui:
DivBO: Diversity-aware CASH for Ensemble Learning. NeurIPS 2022 - [c10]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-core decomposition on super large graphs with limited resources. SAC 2022: 413-422 - [c9]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW 2022: 1817-1828 - [i28]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. CoRR abs/2201.06834 (2022) - [i27]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. CoRR abs/2203.00638 (2022) - [i26]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels. CoRR abs/2203.01093 (2022) - [i25]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest. CoRR abs/2203.12596 (2022) - [i24]Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
Transfer Learning based Search Space Design for Hyperparameter Tuning. CoRR abs/2206.02511 (2022) - [i23]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR abs/2206.02663 (2022) - [i22]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2206.04355 (2022) - [i21]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. CoRR abs/2206.04361 (2022) - [i20]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
DFG-NAS: Deep and Flexible Graph Neural Architecture Search. CoRR abs/2206.08582 (2022) - [i19]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR abs/2206.08583 (2022) - [i18]Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:
Efficient End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2206.09423 (2022) - [i17]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR abs/2209.00796 (2022) - [i16]Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. CoRR abs/2211.00216 (2022) - [i15]Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Efficient Graph Neural Network Inference at Large Scale. CoRR abs/2211.00495 (2022) - [i14]Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang:
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR abs/2211.11138 (2022) - 2021
- [j4]Shiwen Wu, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, Bin Cui:
Enhanced review-based rating prediction by exploiting aside information and user influence. Knowl. Based Syst. 222: 107015 (2021) - [j3]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14(11): 2167-2176 (2021) - [j2]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. Proc. VLDB Endow. 14(11): 2473-2482 (2021) - [c8]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:
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021: 1223-1233 - [c7]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. KDD 2021: 2232-2242 - [c6]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. KDD 2021: 3209-3219 - [c5]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS 2021: 20321-20332 - [c4]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. NeurIPS 2021: 27978-27990 - [c3]Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui:
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. SIGMOD Conference 2021: 2366-2374 - [i13]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. CoRR abs/2104.09880 (2021) - [i12]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. CoRR abs/2106.00421 (2021) - [i11]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2107.08861 (2021) - [i10]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR abs/2107.11789 (2021) - [i9]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. CoRR abs/2108.00219 (2021) - [i8]Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. CoRR abs/2108.00955 (2021) - [i7]Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2108.10097 (2021) - [i6]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies. CoRR abs/2110.10423 (2021) - [i5]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. CoRR abs/2110.14377 (2021) - [i4]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. CoRR abs/2110.14854 (2021) - [i3]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. CoRR abs/2112.13316 (2021) - [i2]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-Core Decomposition on Super Large Graphs with Limited Resources. CoRR abs/2112.14840 (2021) - 2020
- [j1]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Snapshot boosting: a fast ensemble framework for deep neural networks. Sci. China Inf. Sci. 63(1): 112102 (2020) - [c2]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE 2020: 73-84 - [c1]Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui:
Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference 2020: 1399-1414 - [i1]Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. CoRR abs/2011.02260 (2020)
Coauthor Index
[j25] [j23] [j22] [c72] [c70] [c67] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c55] [c52] [i133] [i130] [i128] [i126] [i125] [i122] [i120] [i118] [i117] [i114] [i113] [i109] [i106] [i102] [i101] [i100] [i96] [j21] [j20] [j19] [j17] [j16] [j15] [c43] [c42] [c41] [c40] [c39] [c36] [c35] [c32] [c31] [c28] [i95] [i88] [i85] [i81] [i79] [i78] [i77] [i76] [i75] [i74] [i72] [i70] [i69] [i68] [i64] [i62] [i57] [i56] [i55] [i53] [i50] [i43] [i42] [j14] [j13] [j12] [j10] [j9] [j8] [c26] [c25] [c22] [c21] [i40] [i39] [i38] [i35] [i34] [i32] [i31] [i30] [j7] [j6] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [j4] [j3] [j2] [c8] [c7] [c6] [c5] [c4] [c3] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [j1] [c2] [c1] [i1]
Nguyen Quoc Viet Hung
aka: Quoc Viet Hung Nguyen
aka: Quoc Viet Hung Nguyen
Ronghua Li
aka: Rong-Hua Li
aka: Rong-Hua Li
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