Zheng Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 65

Top Venues

Publications

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. 17 (6) (2024)
Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
Hallucination of Multimodal Large Language Models: A Survey. CoRR (2024)
Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CoRR (2024)
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He
Unified Lexical Representation for Interpretable Visual-Language Alignment. CoRR (2024)
Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur A. Ciftci, Qiang Ji, Jeffrey F. Cohn, Lijun Yin
Disagreement Matters: Exploring Internal Diversification for Redundant Attention in Generic Facial Action Analysis. IEEE Trans. Affect. Comput. 15 (2) (2024)
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. ICLR (2023)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR (2023)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) (2023)
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
Object-Centric Multiple Object Tracking. CoRR (2023)
Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
Coarse-to-Fine Amodal Segmentation with Shape Prior. CoRR (2023)
Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
Unsupervised Open-Vocabulary Object Localization in Videos. CoRR (2023)
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR (2023)
Jiarui Jin, Yangkun Wang, Weinan Zhang, Quan Gan, Xiang Song, Yong Yu, Zheng Zhang, David Wipf
Refined Edge Usage of Graph Neural Networks for Edge Prediction. CoRR (2022)
Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. MLSys (2022)
Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang
DORE: Document Ordered Relation Extraction based on Generative Framework. EMNLP (Findings) (2022)
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. ACM Trans. Inf. Syst. 40 (3) (2022)
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation. NeurIPS (2022)
Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang
Dialogue Meaning Representation for Task-Oriented Dialogue Systems. CoRR (2022)
Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang
DORE: Document Ordered Relation Extraction based on Generative Framework. CoRR (2022)
Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang
Towards Collaborative Question Answering: A Preliminary Study. CoRR (2022)
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
A Unified Generative Framework for Various NER Subtasks. CoRR (2021)
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, Zheng Zhang
A Unified Generative Framework for Aspect-based Sentiment Analysis. ACL/IJCNLP (1) (2021)
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR (2021)
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML (2021)
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR (2021)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. AISTATS (2021)
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
Syntax-guided text generation via graph neural network. Sci. China Inf. Sci. 64 (5) (2021)
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
A Unified Generative Framework for Various NER Subtasks. ACL/IJCNLP (1) (2021)
Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS (2021)
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, Zheng Zhang
A Unified Generative Framework for Aspect-Based Sentiment Analysis. CoRR (2021)
Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
Learning Hierarchical Graph Neural Networks for Image Clustering. ICCV (2021)
Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
Scalable Graph Neural Networks with Deep Graph Library. WSDM (2021)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR (2020)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. CoRR (2020)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
Scalable Graph Neural Networks with Deep Graph Library. KDD (2020)
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training. CoRR (2020)
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
CoLAKE: Contextualized Language and Knowledge Embedding. CoRR (2020)
Zhijing Jin, Yongyi Yang, Xipeng Qiu, Zheng Zhang
Relation of the Relations: A New Paradigm of the Relation Extraction Problem. CoRR (2020)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) (2020)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
Multi-Scale Self-Attention for Text Classification. AAAI (2020)
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. KDD (2020)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR (2020)
Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. CoRR (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC (2020)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: a flexible and efficient backend for graph neural network systems. SC (2020)
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. CoRR (2020)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR (2020)
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
CoLAKE: Contextualized Language and Knowledge Embedding. COLING (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR (2020)
Zhijing Jin, Qipeng Guo, Xipeng Qiu, Zheng Zhang
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. COLING (2020)
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. CoRR (2020)
Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
Transformer on a Diet. CoRR (2020)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
Star-Transformer. NAACL-HLT (1) (2019)
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR (2019)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
Multi-Scale Self-Attention for Text Classification. CoRR (2019)
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
Low-Rank and Locality Constrained Self-Attention for Sequence Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
Star-Transformer. CoRR (2019)
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang
BP-Transformer: Modelling Long-Range Context via Binary Partitioning. CoRR (2019)
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
Top-Down Tree Structured Text Generation. CoRR (2018)
Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
Loss Functions for Multiset Prediction. NeurIPS (2018)
Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang
Saliency-based Sequential Image Attention with Multiset Prediction. NIPS (2017)
Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
Loss Functions for Multiset Prediction. CoRR (2017)
Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang
Saliency-based Sequential Image Attention with Multiset Prediction. CoRR (2017)
Jifan Chen, Kan Chen, Xipeng Qiu, Qi Zhang, Xuanjing Huang, Zheng Zhang
Learning Word Embeddings from Intrinsic and Extrinsic Views. CoRR (2016)
Ying Yan, Jiaxing Zhang, Bojun Huang, Xuzhan Sun, Jiaqi Mu, Zheng Zhang, Thomas Moscibroda
Distributed Outlier Detection using Compressive Sensing. SIGMOD Conference (2015)
Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang
Multiple Granularity Descriptors for Fine-Grained Categorization. ICCV (2015)
Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang
Learning to Point and Count. CoRR (2015)
Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks. CoRR (2015)
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
The application of two-level attention models in deep convolutional neural network for fine-grained image classification. CVPR (2015)
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR (2015)
Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, Zheng Zhang
Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification. ACM Multimedia (2014)
Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang
Scale-Invariant Convolutional Neural Networks. CoRR (2014)
Ying Yan, Liang Jeff Chen, Zheng Zhang
Error-bounded Sampling for Analytics on Big Sparse Data. Proc. VLDB Endow. 7 (13) (2014)
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification. CoRR (2014)
Jiaxing Zhang, Ying Yan, Liang Jeff Chen, Minjie Wang, Thomas Moscibroda, Zheng Zhang
Impression Store: Compressive Sensing-based Storage for Big Data Analytics. HotCloud (2014)
Minjie Wang, Hucheng Zhou, Minyi Guo, Zheng Zhang
A scalable and topology configurable protocol for distributed parameter synchronization. APSys (2014)
Zhenyu Guo, Sean McDirmid, Mao Yang, Li Zhuang, Pu Zhang, Yingwei Luo, Tom Bergan, Madan Musuvathi, Zheng Zhang, Lidong Zhou
Failure Recovery: When the Cure Is Worse Than the Disease. HotOS (2013)
Zhengping Qian, Xiuwei Chen, Nanxi Kang, Mingcheng Chen, Yuan Yu, Thomas Moscibroda, Zheng Zhang
MadLINQ: large-scale distributed matrix computation for the cloud. EuroSys (2012)
Cheng Zhang, Longwen Lu, Hucheng Zhou, Jianjun Zhao, Zheng Zhang
MoonBox: debugging with online slicing and dryrun. APSys (2012)
Cheng Zhang, Zhenyu Guo, Ming Wu, Longwen Lu, Yu Fan, Jianjun Zhao, Zheng Zhang
AutoLog: facing log redundancy and insufficiency. APSys (2011)
Jinghao Shi, Mingyuan Xia, Ming Wu, Lintao Zhang, Zheng Zhang
SLIM: Mmap from the cloud to device, and back. APSys (2011)
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Huayang Guo, Lidong Zhou, Zheng Zhang
Language-based replay via data flow cut. SIGSOFT FSE (2010)
Zhengwei Qi, Alei Liang, Haibing Guan, Ming Wu, Zheng Zhang
A Hybrid Model Checking and Runtime Monitoring Method for C++ Web Services. NCM (2009)
Ruini Xue, Xuezheng Liu, Ming Wu, Zhenyu Guo, Wenguang Chen, Weimin Zheng, Zheng Zhang, Geoffrey M. Voelker
MPIWiz: subgroup reproducible replay of mpi applications. PPOPP (2009)
Fuyuan Zhang, Zhengwei Qi, Haibing Guan, Xuezheng Liu, Mao Yang, Zheng Zhang
FiLM: A Runtime Monitoring Tool for Distributed Systems. SSIRI (2009)
Bin Cheng, Lex Stein, Hai Jin, Zheng Zhang
Towards cinematic internet video-on-demand. EuroSys (2008)
Bin Cheng, Lex Stein, Hai Jin, Xiaofei Liao, Zheng Zhang
GridCast: Improving peer sharing for P2P VoD. ACM Trans. Multim. Comput. Commun. Appl. 4 (4) (2008)
Xuezheng Liu, Zhenyu Guo, Xi Wang, Feibo Chen, Xiaochen Lian, Jian Tang, Ming Wu, M. Frans Kaashoek, Zheng Zhang
D3S: Debugging Deployed Distributed Systems. NSDI (2008)
Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang
Hang analysis: fighting responsiveness bugs. EuroSys (2008)
Silas Boyd-Wickizer, Haibo Chen, Rong Chen, Yandong Mao, M. Frans Kaashoek, Robert Tappan Morris, Aleksey Pesterev, Lex Stein, Ming Wu, Yue-hua Dai, Yang Zhang, Zheng Zhang
Corey: An Operating System for Many Cores. OSDI (2008)
Yu Chen, Tracy Chen, Ming Chen, Zheng Zhang
Islands in the MSN messenger buddy network. SNS (2008)
Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhilei Xu, Ming Wu, M. Frans Kaashoek, Zheng Zhang
R2: An Application-Level Kernel for Record and Replay. OSDI (2008)
Bin Cheng, Lex Stein, Hai Jin, Zheng Zhang
A framework for lazy replication in P2P VoD. NOSSDAV (2008)
Bin Cheng, Xiuzheng Liu, Zheng Zhang, Hai Jin, Lex Stein, Xiaofei Liao
Evaluation and optimization of a peer-to-peer video-on-demand system. J. Syst. Archit. 54 (7) (2008)
Xi Wang, Zhilei Xu, Xuezheng Liu, Zhenyu Guo, Xiaoge Wang, Zheng Zhang
Conditional correlation analysis for safe region-based memory management. PLDI (2008)
Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li
Robust incentives via multi-level Tit-for-Tat. Concurr. Comput. Pract. Exp. 20 (2) (2008)
Qiao Lian, Zheng Zhang, Mao Yang, Ben Y. Zhao, Yafei Dai, Xiaoming Li
An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System. ICDCS (2007)
Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin
BitVault: a highly reliable distributed data retention platform. ACM SIGOPS Oper. Syst. Rev. 41 (2) (2007)
Bin Cheng, Xuezheng Liu, Zheng Zhang, Hai Jin
A Measurement Study of a Peer-to-Peer Video-on-Demand System. IPTPS (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zheng Zhang