Zheng Zhang

204 papers A* 45A 16B 9C 1Misc 2Journal 86Unranked 43
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Data Model and Method Framework for Cyberspace Map Visualization.
ISPRS Int. J. Geo Inf.
Zheng Zhang, Chenghu Zhou, Minjie Chen, Yibing Cao, Shaojing Fan
2025 J jnl
A skeleton extraction method for large-scale spatial interaction networks considering spatial distribution characteristics.
Int. J. Geogr. Inf. Sci.
Zheng Zhang, Chenghu Zhou, Minjie Chen, Shaojing Fan
2025 J jnl
AuthGuard: Generalizable Deepfake Detection via Language Guidance.
CoRR
Guangyu Shen, Zhihua Li, Xiang Xu, Tianchen Zhao, Zheng Zhang, Dongsheng An, Zhuowen Tu, Yifan Xing, Qin Zhang
2025 A* conf
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach.
ICLR
Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
2025 J jnl
DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
CoRR
Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang
2025 J jnl
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space.
CoRR
Xingwei Qu, Shaowen Wang, Zihao Huang, Kai Hua, Fan Yin, Rui-Jie Zhu, Jundong Zhou, Qiyang Min, Zihao Wang, Yizhi Li, Tianyu Zhang, He Xing, Zheng Zhang, Yuxuan Song, Tianyu Zheng, Zhiyuan Zeng, Chenghua Lin, Ge Zhang, Wenhao Huang
2025 A* conf
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens.
ICLR
Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang
2025 — conf
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization.
ACL (1)
Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang
2025 J jnl
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.
CoRR
Yuxuan Song, Zheng Zhang, Cheng Luo, Pengyang Gao, Fan Xia, Hao Luo, Zheng Li, Yuehang Yang, Hongli Yu, Xingwei Qu, Yuwei Fu, Jing Su, Ge Zhang, Wenhao Huang, Mingxuan Wang, Lin Yan, Xiaoying Jia, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Yonghui Wu, Hao Zhou
2025 J jnl
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation.
CoRR
Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma
2025 A* conf
VideoSAM: Open-World Video Segmentation.
ICRA
Pinxue Guo, Zixu Zhao, Jianxiong Gao, Chongruo Wu, Tong He, Zheng Zhang, Tianjun Xiao, Wenqiang Zhang
2024 A* conf
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
NeurIPS
Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang
2024 — conf
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
VLDB Workshops
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
2024 J jnl
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
CoRR
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
2024 A* conf
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number.
CVPR
Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
2024 J jnl
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number.
CoRR
Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
2024 A* conf
Can Language Models Learn to Skip Steps?
NeurIPS
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang
2024 J jnl
Can Language Models Learn to Skip Steps?
CoRR
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang
2024 A* conf
ECON: On the Detection and Resolution of Evidence Conflicts.
EMNLP
Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang
2024 J jnl
ECon: On the Detection and Resolution of Evidence Conflicts.
CoRR
Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang
2024 — conf
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs.
LREC/COLING
Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang
2024 J jnl
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs.
CoRR
Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang
2024 J jnl
Factorized Visual Tokenization and Generation.
CoRR
Zechen Bai, Jianxiong Gao, Ziteng Gao, Pichao Wang, Zheng Zhang, Tong He, Mike Zheng Shou
2024 J jnl
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training.
Proc. VLDB Endow.
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2024 J jnl
GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval.
CoRR
Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
2024 J jnl
Hallucination of Multimodal Large Language Models: A Survey.
CoRR
Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
2024 A* conf
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos.
NeurIPS
Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
2024 J jnl
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos.
CoRR
Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
2024 J jnl
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization.
CoRR
Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang
2024 A* conf
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
NeurIPS
Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
2024 J jnl
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
CoRR
Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
2024 A* conf
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation.
NeurIPS
Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Zheng Zhang, Yicong Zhou
2024 J jnl
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation.
CoRR
Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Yicong Zhou, Zheng Zhang
2024 A* conf
Unified Lexical Representation for Interpretable Visual-Language Alignment.
NeurIPS
Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He
2024 J jnl
Unified Lexical Representation for Interpretable Visual-Language Alignment.
CoRR
Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He
2024 J jnl
VideoSAM: Open-World Video Segmentation.
CoRR
Pinxue Guo, Zixu Zhao, Jianxiong Gao, Chongruo Wu, Tong He, Zheng Zhang, Tianjun Xiao, Wenqiang Zhang
2023 — conf
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.
ACL (1)
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2023 J jnl
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.
CoRR
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2023 A* conf
Bridging the Gap to Real-World Object-Centric Learning.
ICLR
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2023 A* conf
Coarse-to-Fine Amodal Segmentation with Shape Prior.
ICCV
Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023 J jnl
Coarse-to-Fine Amodal Segmentation with Shape Prior.
CoRR
Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023 — conf
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations.
ACL (1)
Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang
2023 J jnl
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations.
CoRR
Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang
2023 — conf
Dual Cache for Long Document Neural Coreference Resolution.
ACL (1)
Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2023 A* conf
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.
EMNLP
Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu
2023 J jnl
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.
CoRR
Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu
2023 — conf
Exploiting Abstract Meaning Representation for Open-Domain Question Answering.
ACL (Findings)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
2023 J jnl
Exploiting Abstract Meaning Representation for Open-Domain Question Answering.
CoRR
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
2023 A* conf
Object-Centric Multiple Object Tracking.
ICCV
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
2023 J jnl
Object-Centric Multiple Object Tracking.
CoRR
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
2023 A* conf
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts.
EMNLP
Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2023 J jnl
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts.
CoRR
Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2023 J jnl
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.
CoRR
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2023 A* conf
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation.
ICCV
Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023 J jnl
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation.
CoRR
Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023 A* conf
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.
EMNLP
Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang
2023 J jnl
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.
CoRR
Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang
2023 J jnl
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2023 A* conf
Unsupervised Open-Vocabulary Object Localization in Videos.
ICCV
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
2023 J jnl
Unsupervised Open-Vocabulary Object Localization in Videos.
CoRR
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
2022 J jnl
Bridging the Gap to Real-World Object-Centric Learning.
CoRR
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2022 — conf
DORE: Document Ordered Relation Extraction based on Generative Framework.
EMNLP (Findings)
Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang
2022 J jnl
DORE: Document Ordered Relation Extraction based on Generative Framework.
CoRR
Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang
2022 — conf
Dialogue Meaning Representation for Task-Oriented Dialogue Systems.
EMNLP (Findings)
Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang
2022 J jnl
Dialogue Meaning Representation for Task-Oriented Dialogue Systems.
CoRR
Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang
2022 J jnl
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
ACM Trans. Inf. Syst.
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
2022 — conf
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph.
MLSys
Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan
2022 A* conf
Inductive Relation Prediction Using Analogy Subgraph Embeddings.
ICLR
Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
2022 J jnl
Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration.
IEEE Trans. Cybern.
Dongye Zhao, Zheng Zhang, Hong Lu, Sen Cheng, Bailu Si, Xisheng Feng
2022 A* conf
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.
NeurIPS
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf
2022 J jnl
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.
CoRR
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf
2022 A* conf
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.
EMNLP
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2022 J jnl
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.
CoRR
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2022 A* conf
Self-supervised Amodal Video Object Segmentation.
NeurIPS
Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P. Wipf, Yanwei Fu, Zheng Zhang
2022 J jnl
Self-supervised Amodal Video Object Segmentation.
CoRR
Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, Zheng Zhang
2022 J jnl
Towards Collaborative Question Answering: A Preliminary Study.
CoRR
Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang
2022 A* conf
Why Propagate Alone? Parallel Use of Labels and Features on Graphs.
ICLR
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
A Unified Generative Framework for Aspect-Based Sentiment Analysis.
CoRR
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, Zheng Zhang
2021 — conf
A Unified Generative Framework for Aspect-based Sentiment Analysis.
ACL/IJCNLP (1)
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, Zheng Zhang
2021 — conf
A Unified Generative Framework for Various NER Subtasks.
ACL/IJCNLP (1)
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
2021 J jnl
A Unified Generative Framework for Various NER Subtasks.
CoRR
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
2021 A conf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.
AISTATS
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
2021 A* conf
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction.
NeurIPS
Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
2021 A* conf
Graph Neural Networks Inspired by Classical Iterative Algorithms.
ICML
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
Graph Neural Networks Inspired by Classical Iterative Algorithms.
CoRR
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021 A* conf
Learning Hierarchical Graph Neural Networks for Image Clustering.
ICCV
Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
2021 J jnl
Learning Hierarchical Graph Neural Networks for Image Clustering.
CoRR
Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
2021 A conf
Scalable Graph Neural Networks with Deep Graph Library.
WSDM
Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
2021 J jnl
Syntax-guided text generation via graph neural network.
Sci. China Inf. Sci.
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
2021 J jnl
Why Propagate Alone? Parallel Use of Labels and Features on Graphs.
CoRR
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
2020 A* conf
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
KDD
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020 J jnl
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
CoRR
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020 B conf
CoLAKE: Contextualized Language and Knowledge Embedding.
COLING
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
2020 J jnl
CoLAKE: Contextualized Language and Knowledge Embedding.
CoRR
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
2020 J jnl
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training.
CoRR
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang
2020 A* conf
DGL-KE: Training Knowledge Graph Embeddings at Scale.
SIGIR
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020 J jnl
DGL-KE: Training Knowledge Graph Embeddings at Scale.
CoRR
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020 — conf
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.
IA3@SC
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020 J jnl
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.
CoRR
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020 J jnl
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems.
CoRR
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
2020 A conf
FeatGraph: a flexible and efficient backend for graph neural network systems.
SC
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
2020 J jnl
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.
CoRR
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
2020 B conf
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation.
COLING
Zhijing Jin, Qipeng Guo, Xipeng Qiu, Zheng Zhang
2020 — conf
Learning Graph Neural Networks with Deep Graph Library.
WWW (Companion Volume)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2020 J jnl
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
CoRR
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020 A* conf
Multi-Scale Self-Attention for Text Classification.
AAAI
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
2020 J jnl
Relation of the Relations: A New Paradigm of the Relation Extraction Problem.
CoRR
Zhijing Jin, Yongyi Yang, Xipeng Qiu, Zheng Zhang
2020 J jnl
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning.
CoRR
Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng
2020 A* conf
Scalable Graph Neural Networks with Deep Graph Library.
KDD
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2020 J jnl
Transformer on a Diet.
CoRR
Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
2019 J jnl
BP-Transformer: Modelling Long-Range Context via Binary Partitioning.
CoRR
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang
2019 J jnl
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.
CoRR
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
2019 J jnl
Low-Rank and Locality Constrained Self-Attention for Sequence Modeling.
IEEE ACM Trans. Audio Speech Lang. Process.
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
2019 J jnl
Multi-Scale Self-Attention for Text Classification.
CoRR
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
2019 — conf
Star-Transformer.
NAACL-HLT (1)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
2019 J jnl
Star-Transformer.
CoRR
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
2018 — conf
A Novel Experience-Based Exploration Method for Q-Learning.
ICPCSEE (1)
Bohong Yang, Hong Lu, Baogen Li, Zheng Zhang, Wenqiang Zhang
2018 A* conf
Loss Functions for Multiset Prediction.
NeurIPS
Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
2018 J jnl
Melodic Phrase Segmentation By Deep Neural Networks.
CoRR
Yixing Guan, Jinyu Zhao, Yiqin Qiu, Zheng Zhang, Gus Xia
2018 J jnl
Music Style Transfer Issues: A Position Paper.
CoRR
Shuqi Dai, Zheng Zhang, Gus Xia
2018 J jnl
Top-Down Tree Structured Text Generation.
CoRR
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
2017 J jnl
Loss Functions for Multiset Prediction.
CoRR
Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho
2017 — conf
Saliency-based Sequential Image Attention with Multiset Prediction.
NIPS
Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang
2017 J jnl
Saliency-based Sequential Image Attention with Multiset Prediction.
CoRR
Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang
2016 J jnl
Learning Word Embeddings from Intrinsic and Extrinsic Views.
CoRR
Jifan Chen, Kan Chen, Xipeng Qiu, Qi Zhang, Xuanjing Huang, Zheng Zhang
2015 — conf
Distributed Outlier Detection using Compressive Sensing.
SIGMOD Conference
Ying Yan, Jiaxing Zhang, Bojun Huang, Xuzhan Sun, Jiaqi Mu, Zheng Zhang, Thomas Moscibroda
2015 J jnl
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks.
CoRR
Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho
2015 J jnl
Learning to Point and Count.
CoRR
Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang
2015 J jnl
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.
CoRR
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang
2015 A* conf
Multiple Granularity Descriptors for Fine-Grained Categorization.
ICCV
Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang
2015 A* conf
The application of two-level attention models in deep convolutional neural network for fine-grained image classification.
CVPR
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
2014 — conf
A scalable and topology configurable protocol for distributed parameter synchronization.
APSys
Minjie Wang, Hucheng Zhou, Minyi Guo, Zheng Zhang
2014 A* conf
Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification.
ACM Multimedia
Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, Zheng Zhang
2014 J jnl
Error-bounded Sampling for Analytics on Big Sparse Data.
Proc. VLDB Endow.
Ying Yan, Liang Jeff Chen, Zheng Zhang
2014 — conf
Impression Store: Compressive Sensing-based Storage for Big Data Analytics.
HotCloud
Jiaxing Zhang, Ying Yan, Liang Jeff Chen, Minjie Wang, Thomas Moscibroda, Zheng Zhang
2014 J jnl
Scale-Invariant Convolutional Neural Networks.
CoRR
Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang
2014 J jnl
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification.
CoRR
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang
2013 A conf
Failure Recovery: When the Cure Is Worse Than the Disease.
HotOS
Zhenyu Guo, Sean McDirmid, Mao Yang, Li Zhuang, Pu Zhang, Yingwei Luo, Tom Bergan, Madan Musuvathi, Zheng Zhang, Lidong Zhou
2013 A conf
TimeStream: reliable stream computation in the cloud.
EuroSys
Zhengping Qian, Yong He, Chunzhi Su, Zhuojie Wu, Hongyu Zhu, Taizhi Zhang, Lidong Zhou, Yuan Yu, Zheng Zhang
2012 J jnl
A uniform solution to the independent set problem through tissue P systems with cell separation.
Frontiers Comput. Sci.
Xingyi Zhang, Xiangxiang Zeng, Bin Luo, Zheng Zhang
2012 A conf
MadLINQ: large-scale distributed matrix computation for the cloud.
EuroSys
Zhengping Qian, Xiuwei Chen, Nanxi Kang, Mingcheng Chen, Yuan Yu, Thomas Moscibroda, Zheng Zhang
2012 — conf
MoonBox: debugging with online slicing and dryrun.
APSys
Cheng Zhang, Longwen Lu, Hucheng Zhou, Jianjun Zhao, Zheng Zhang
2011 — ed.
APSys '11 Asia Pacific Workshop on Systems, Shanghai, China, July 11-12, 2011
APSys
Haibo Chen, Zheng Zhang, Sue Moon, Yuanyuan Zhou
2011 — conf
AutoLog: facing log redundancy and insufficiency.
APSys
Cheng Zhang, Zhenyu Guo, Ming Wu, Longwen Lu, Yu Fan, Jianjun Zhao, Zheng Zhang
2011 — conf
SLIM: Mmap from the cloud to device, and back.
APSys
Jinghao Shi, Mingyuan Xia, Ming Wu, Lintao Zhang, Zheng Zhang
2010 — conf
Language-based replay via data flow cut.
SIGSOFT FSE
Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Huayang Guo, Lidong Zhou, Zheng Zhang
2010 — conf
Similarity analysis of DNA sequences based on a compact representation.
BIC-TA
Zhujin Zhang, Shuo Wang, Xingyi Zhang, Zheng Zhang
2009 — conf
A Hybrid Model Checking and Runtime Monitoring Method for C++ Web Services.
NCM
Zhengwei Qi, Alei Liang, Haibing Guan, Ming Wu, Zheng Zhang
2009 — conf
FiLM: A Runtime Monitoring Tool for Distributed Systems.
SSIRI
Fuyuan Zhang, Zhengwei Qi, Haibing Guan, Xuezheng Liu, Mao Yang, Zheng Zhang
2009 B conf
MPIWiz: subgroup reproducible replay of mpi applications.
PPoPP
Ruini Xue, Xuezheng Liu, Ming Wu, Zhenyu Guo, Wenguang Chen, Weimin Zheng, Zheng Zhang, Geoffrey M. Voelker
2008 B conf
A framework for lazy replication in P2P VoD.
NOSSDAV
Bin Cheng, Lex Stein, Hai Jin, Zheng Zhang
2008 A* conf
Conditional correlation analysis for safe region-based memory management.
PLDI
Xi Wang, Zhilei Xu, Xuezheng Liu, Zhenyu Guo, Xiaoge Wang, Zheng Zhang
2008 A* conf
Corey: An Operating System for Many Cores.
OSDI
Silas Boyd-Wickizer, Haibo Chen, Rong Chen, Yandong Mao, M. Frans Kaashoek, Robert Morris, Aleksey Pesterev, Lex Stein, Ming Wu, Yue-hua Dai, Yang Zhang, Zheng Zhang
2008 Misc conf
D3S: Debugging Deployed Distributed Systems.
NSDI
Xuezheng Liu, Zhenyu Guo, Xi Wang, Feibo Chen, Xiaochen Lian, Jian Tang, Ming Wu, M. Frans Kaashoek, Zheng Zhang
2008 J jnl
Evaluation and optimization of a peer-to-peer video-on-demand system.
J. Syst. Archit.
Bin Cheng, Xiuzheng Liu, Zheng Zhang, Hai Jin, Lex Stein, Xiaofei Liao
2008 J jnl
GridCast: Improving peer sharing for P2P VoD.
ACM Trans. Multim. Comput. Commun. Appl.
Bin Cheng, Lex Stein, Hai Jin, Xiaofei Liao, Zheng Zhang
2008 A conf
Hang analysis: fighting responsiveness bugs.
EuroSys
Xi Wang, Zhenyu Guo, Xuezheng Liu, Zhilei Xu, Haoxiang Lin, Xiaoge Wang, Zheng Zhang
2008 — conf
Islands in the MSN messenger buddy network.
SNS
Yu Chen, Tracy Chen, Ming Chen, Zheng Zhang
2008 A* conf
R2: An Application-Level Kernel for Record and Replay.
OSDI
Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhilei Xu, Ming Wu, M. Frans Kaashoek, Zheng Zhang
2008 J jnl
Robust incentives via multi-level Tit-for-Tat.
Concurr. Comput. Pract. Exp.
Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li
2008 A conf
Towards cinematic internet video-on-demand.
EuroSys
Bin Cheng, Lex Stein, Hai Jin, Zheng Zhang
2007 — conf
A Measurement Study of a Peer-to-Peer Video-on-Demand System.
IPTPS
Bin Cheng, Xuezheng Liu, Zheng Zhang, Hai Jin
2007 — conf
A Multi-dimensional Reputation System Combined with Trust and Incentive Mechanisms in P2P File Sharing Systems.
ICDCS Workshops
Mao Yang, Qinyuan Feng, Yafei Dai, Zheng Zhang
2007 B conf
An Analytical Framework and Its Applications for Studying Brick Storage Reliability.
SRDS
Ming Chen, Wei Chen, Likun Liu, Zheng Zhang
2007 A conf
An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System.
ICDCS
Qiao Lian, Zheng Zhang, Mao Yang, Ben Y. Zhao, Yafei Dai, Xiaoming Li
2007 J jnl
BitVault: a highly reliable distributed data retention platform.
ACM SIGOPS Oper. Syst. Rev.
Zheng Zhang, Qiao Lian, Shiding Lin, Wei Chen, Yu Chen, Chao Jin
2007 A conf
Machine Bank: Own Your Virtual Personal Computer.
IPDPS
Shuo Tang, Yu Chen, Zheng Zhang
2007 Misc conf
WiDS Checker: Combating Bugs in Distributed Systems.
NSDI
Xuezheng Liu, Wei Lin, Aimin Pan, Zheng Zhang
2006 A conf
Automated known problem diagnosis with event traces.
EuroSys
Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zhang, Yi-Min Wang, Wei-Ying Ma
2006 — conf
Robust Incentives via Multi-level Tit-for-tat.
IPTPS
Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li
2005 — conf
An Empirical Study of Free-Riding Behavior in the Maze P2P File-Sharing System.
IPTPS
Mao Yang, Zheng Zhang, Xiaoming Li, Yafei Dai
2005 A conf
On the Impact of Replica Placement to the Reliability of Distributed Brick Storage Systems.
ICDCS
Qiao Lian, Wei Chen, Zheng Zhang
2005 C conf
Sigma: A Fault-Tolerant Mutual Exclusion Algorithm in Dynamic Distributed Systems Subject to Process Crashes and Memory Losses.
PRDC
Wei Chen, Shiding Lin, Qiao Lian, Zheng Zhang
2005 B conf
Simulating Large-Scale P2P Systems with the WiDS Toolkit.
MASCOTS
Shiding Lin, Aimin Pan, Rui Guo, Zheng Zhang
2005 A* conf
Using model checker and replay facility to debug complex distributed system.
SOSP
Xuezheng Liu, Aimin Pan, Wei Lin, Zheng Zhang
2005 A conf
WiDS: An Integrated Toolkit for Distributed System Development.
HotOS
Shiding Lin, Aimin Pan, Zheng Zhang, Rui Guo, Zhenyu Guo
2005 B conf
Z-Ring: Fast Prefix Routing via a Low Maintenance Membership Protocol.
ICNP
Qiao Lian, Wei Chen, Zheng Zhang, Shaomei Wu, Ben Y. Zhao
2004 — conf
A Practical Distributed Mutual Exclusion Protocol in Dynamic Peer-to-Peer Systems.
IPTPS
Shiding Lin, Qiao Lian, Ming Chen, Zheng Zhang
2004 — conf
Deployment of a Large-scale Peer-to-Peer Social Network.
WORLDS
Mao Yang, Hua Chen, Ben Y. Zhao, Yafei Dai, Zheng Zhang
2004 J jnl
Evaluation of Edge Caching/Offloading for Dynamic Content Delivery.
IEEE Trans. Knowl. Data Eng.
Chun Yuan, Yu Chen, Zheng Zhang
2004 — conf
Friends Troubleshooting Network: Towards Privacy-Preserving, Automatic Troubleshooting.
IPTPS
Helen J. Wang, Yih-Chun Hu, Chun Yuan, Zheng Zhang, Yi-Min Wang
2004 — conf
P2P Resource Pool and Its Application to Optimize Wide-Area Application Level Multicasting.
ICPP Workshops
Zheng Zhang, Yu Chen, Shiding Lin, Bo-Ying Lu, Shuming Shi, Xing Xie, Chun Yuan
2004 — conf
RepStore: A Self-Managing and Self-Tuning Storage Backend with Smart Bricks.
ICAC
Zheng Zhang, Shiding Lin, Qiao Lian, Chao Jin
2004 — conf
Scalable, Structured Data Placement over P2P Storage Utilities.
FTDCS
Zheng Zhang, Mallik Mahalingam, Zhichen Xu, Wenting Tang
2004 J jnl
Strider: a black-box, state-based approach to change and configuration management and support.
Sci. Comput. Program.
Yi-Min Wang, Chad Verbowski, John Dunagan, Yu Chen, Helen J. Wang, Chun Yuan, Zheng Zhang
2004 — conf
The Power of DHT as a Logical Space.
FTDCS
Zheng Zhang
2003 A conf
Building Topology-Aware Overlays Using Global Soft-Stat.
ICDCS
Zhichen Xu, Chunqiang Tang, Zheng Zhang
2003 A* conf
Evaluation of edge caching/offloading for dynamic content delivery.
WWW
Chun Yuan, Yu Chen, Zheng Zhang
2003 — conf
Media Companion: Delivering Content-oriented Web Services to Internet Media.
WWW (Posters)
Wei-Ying Ma, Xing Xie, Chun Yuan, Yu Chen, Zheng Zhang, HongJiang Zhang
2003 — conf
Proxy+: Simple Proxy Augmentation for Dynamic Content Processing.
WCW
Chun Yuan, Zhigang Hua, Zheng Zhang
2003 — conf
SOMO: Self-Organized Metadata Overlay for Resource Management in P2P DHT.
IPTPS
Zheng Zhang, Shuming Shi, Jing Zhu
2003 — conf
STRIDER: A Black-box, State-based Approach to Change and Configuration Management and Support.
LISA
Yi-Min Wang, Chad Verbowski, John Dunagan, Yu Chen, Helen J. Wang, Chun Yuan, Zheng Zhang
2003 A conf
Trading Replication Consistency for Performance and Availability: an Adaptive Approach.
ICDCS
Chi Zhang, Zheng Zhang
2002 A* conf
ReVive: Cost-Effective Architectural Support for Rollback Recovery in Shared-Memory Multiprocessors.
ISCA
Milos Prvulovic, Josep Torrellas, Zheng Zhang
2002 B conf
Reperasure: Replication Protocol Using Erasure-Code in Peer-to-Peer Storage Network.
SRDS
Zheng Zhang, Qiao Lian
2001 B conf
Designing a Robust Namespace for Distributed File Services.
SRDS
Zheng Zhang, Christos T. Karamanolis
1999 J jnl
Excel-NUMA: Toward Programmability, Simplicity, and High Performance.
IEEE Trans. Computers
Zheng Zhang, Marcelo H. Cintra, Josep Torrellas
1997 A* conf
Reducing Remote Conflict Misses: NUMA with Remote Cache versus COMA.
HPCA
Zheng Zhang, Josep Torrellas
1997 A* conf
The Memory Performance of DSS Commercial Workloads in Shared-Memory Multiprocessors.
HPCA
Pedro Trancoso, Josep Lluís Larriba-Pey, Zheng Zhang, Josep Torrellas
1997 J jnl
The Performance of the Cedar Multistage Switching Network.
IEEE Trans. Parallel Distributed Syst.
Josep Torrellas, Zheng Zhang
1996 — —
Architectural Alternatives to Reduce Remote Conflict Misses in Shared-Memory Multiprocessors
Zheng Zhang
1996 A* conf
Distance-Adaptive Update Protocols for Scalable Shared-Memory Multiprocessors.
HPCA
Alain Raynaud, Zheng Zhang, Josep Torrellas
1995 A* conf
Speeding Up Irregular Applications in Shared-Memory Multiprocessors: Memory Binding and Group Prefetching.
ISCA
Zheng Zhang, Josep Torrellas
1994 A conf
The performance of the Cedar multistage switching network.
SC
Josep Torrellas, Zheng Zhang