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Journal Articles
- 2024
[j66]Qihua Zhou
, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou:
PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3938-3954 (2024)- [j65]Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou:
Eraser: Eliminating Performance Regression on Learned Query Optimizer. Proc. VLDB Endow. 17(5): 926-938 (2024) - [j64]Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou:
PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. 17(5): 980-993 (2024) - [j63]Dahai Tang, Jiali Wang, Rong Chen, Lei Wang, Wenyuan Yu, Jingren Zhou, Kenli Li:
XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store. Proc. VLDB Endow. 17(5): 1105-1118 (2024) - [j62]Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. 17(5): 1132-1145 (2024) - [j61]Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou:
Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17(6): 1269-1282 (2024) - [j60]Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou:
Ingress: an automated incremental graph processing system. VLDB J. 33(3): 781-806 (2024) - [j59]Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou:
Lero: applying learning-to-rank in query optimizer. VLDB J. 33(5): 1307-1331 (2024) - 2023
- [j58]Wenyuan Yu, Tao He, Lei Wang, Ke Meng, Ye Cao, Diwen Zhu, Sanhong Li, Jingren Zhou:
Vineyard: Optimizing Data Sharing in Data-Intensive Analytics. Proc. ACM Manag. Data 1(2): 200:1-200:27 (2023) - [j57]Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16(5): 1059-1072 (2023) - [j56]Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou:
Lero: A Learning-to-Rank Query Optimizer. Proc. VLDB Endow. 16(6): 1466-1479 (2023) - [j55]Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng:
BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16(8): 1958-1966 (2023) - [j54]Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16(12): 4046-4049 (2023) - [j53]Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu:
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. Proc. VLDB Endow. 17(2): 197-210 (2023) - [j52]Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing. Proc. VLDB Endow. 17(3): 264-277 (2023) - [j51]Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya:
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. IEEE Trans. Computers 72(10): 2888-2901 (2023) - [j50]Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023) - [j49]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [j48]Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou:
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 6973-6987 (2023) - [j47]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j46]Wenfei Fan, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou:
Application-driven graph partitioning. VLDB J. 32(1): 149-172 (2023) - [j45]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version). VLDB J. 32(6): 1315-1342 (2023) - 2022
- [j44]Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou:
Banyan: A Scoped Dataflow Engine for Graph Query Service. Proc. VLDB Endow. 15(10): 2045-2057 (2022) - [j43]Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou:
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. Proc. VLDB Endow. 15(11): 3098-3111 (2022) - [j42]Bingqing Lyu, Lu Qin, Xuemin Lin, Ying Zhang, Zhengping Qian, Jingren Zhou:
Maximum and top-k diversified biclique search at scale. VLDB J. 31(6): 1365-1389 (2022) - 2021
- [j41]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao:
Improving Search Engine Efficiency through Contextual Factor Selection. AI Mag. 42(2): 50-58 (2021) - [j40]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. Proc. VLDB Endow. 14(5): 721-729 (2021) - [j39]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. Proc. VLDB Endow. 14(9): 1489-1502 (2021) - [j38]Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou:
Automating Incremental Graph Processing with Flexible Memoization. Proc. VLDB Endow. 14(9): 1613-1625 (2021) - [j37]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) - [j36]Jingbo Xu, Zhanning Bai, Wenfei Fan, Longbin Lai, Xue Li, Zhao Li, Zhengping Qian, Lei Wang, Yanyan Wang, Wenyuan Yu, Jingren Zhou:
GraphScope: A One-Stop Large Graph Processing System. Proc. VLDB Endow. 14(12): 2703-2706 (2021) - [j35]Wenfei Fan, Tao He, Longbin Lai, Xue Li, Yong Li, Zhao Li, Zhengping Qian, Chao Tian, Lei Wang, Jingbo Xu, Youyang Yao, Qiang Yin, Wenyuan Yu, Kai Zeng, Kun Zhao, Jingren Zhou, Diwen Zhu, Rong Zhu:
GraphScope: A Unified Engine For Big Graph Processing. Proc. VLDB Endow. 14(12): 2879-2892 (2021) - [j34]Yingda Chen, Jiamang Wang, Yifeng Lu, Ying Han, Zhiqiang Lv, Xuebin Min, Hua Cai, Wei Zhang, Haochuan Fan, Chao Li, Tao Guan, Wei Lin, Yangqing Jia, Jingren Zhou:
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. Proc. VLDB Endow. 14(12): 2972-2985 (2021) - [j33]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15(2): 272-284 (2021) - [j32]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 15(4): 752-765 (2021) - [j31]Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou:
Federated Matrix Factorization with Privacy Guarantee. Proc. VLDB Endow. 15(4): 900-913 (2021) - [j30]Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang:
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. ACM Trans. Knowl. Discov. Data 15(1): 10:1-10:23 (2021) - [j29]You Peng, Xuemin Lin, Ying Zhang, Wenjie Zhang, Lu Qin, Jingren Zhou:
Efficient Hop-constrained s-t Simple Path Enumeration. VLDB J. 30(5): 799-823 (2021) - 2020
- [j28]Wenfei Fan, Muyang Liu, Chao Tian, Ruiqi Xu, Jingren Zhou:
Incrementalization of Graph Partitioning Algorithms. Proc. VLDB Endow. 13(8): 1261-1274 (2020) - [j27]Bingqing Lyu, Lu Qin, Xuemin Lin, Ying Zhang, Zhengping Qian, Jingren Zhou:
Maximum Biclique Search at Billion Scale. Proc. VLDB Endow. 13(9): 1359-1372 (2020) - [j26]Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou:
Capturing Associations in Graphs. Proc. VLDB Endow. 13(11): 1863-1876 (2020) - [j25]Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou:
Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. Proc. VLDB Endow. 13(11): 2760-2772 (2020) - [j24]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Improving Utility and Security of the Shuffler-based Differential Privacy. Proc. VLDB Endow. 13(13): 3545-3558 (2020) - [j23]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. Proc. VLDB Endow. 14(1): 14-27 (2020) - [j22]Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, Ruochun Jin:
Adaptive Asynchronous Parallelization of Graph Algorithms. ACM Trans. Database Syst. 45(2): 6:1-6:45 (2020) - [j21]Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou:
Efficient (α, β)-core computation in bipartite graphs. VLDB J. 29(5): 1075-1099 (2020) - 2019
- [j20]Wenfei Fan, Ping Lu, Chao Tian, Jingren Zhou:
Deducing Certain Fixes to Graphs. Proc. VLDB Endow. 12(7): 752-765 (2019) - [j19]Wenfei Fan, Chunming Hu, Muyang Liu, Ping Lu, Qiang Yin, Jingren Zhou:
Dynamic Scaling for Parallel Graph Computations. Proc. VLDB Endow. 12(8): 877-890 (2019) - [j18]Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou:
Distributed Subgraph Matching on Timely Dataflow. Proc. VLDB Endow. 12(10): 1099-1112 (2019) - [j17]Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang:
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. Proc. VLDB Endow. 12(12): 1862-1865 (2019) - [j16]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. Proc. VLDB Endow. 12(12): 2094-2105 (2019) - [j15]Yuzhen Huang, Yingjie Shi, Zheng Zhong, Yihui Feng, James Cheng, Jiwei Li, Haochuan Fan, Chao Li, Tao Guan, Jingren Zhou:
Yugong: Geo-Distributed Data and Job Placement at Scale. Proc. VLDB Endow. 12(12): 2155-2169 (2019) - [j14]You Peng, Ying Zhang, Xuemin Lin, Wenjie Zhang, Lu Qin, Jingren Zhou:
Hop-constrained s-t Simple Path Enumeration: Towards Bridging Theory and Practice. Proc. VLDB Endow. 13(4): 463-476 (2019) - [j13]Bingsheng He, Yunji Chen, Jingren Zhou:
Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data 5(1): 2-3 (2019) - 2018
- [j12]Xiafei Qiu, Wubin Cen, Zhengping Qian, You Peng, Ying Zhang, Xuemin Lin, Jingren Zhou:
Real-time Constrained Cycle Detection in Large Dynamic Graphs. Proc. VLDB Endow. 11(12): 1876-1888 (2018) - [j11]Wenfei Fan, Wenyuan Yu, Jingbo Xu, Jingren Zhou, Xiaojian Luo, Qiang Yin, Ping Lu, Yang Cao, Ruiqi Xu:
Parallelizing Sequential Graph Computations. ACM Trans. Database Syst. 43(4): 18:1-18:39 (2018) - 2015
- [j10]Eric Boutin, Paul Brett, Xiaoyu Chen, Jaliya Ekanayake, Tao Guan, Anna Korsun, Zhicheng Yin, Nan Zhang, Jingren Zhou:
JetScope: Reliable and Interactive Analytics at Cloud Scale. Proc. VLDB Endow. 8(12): 1680-1691 (2015) - [j9]Xuepeng Fan, Zhenyu Guo, Hai Jin, Xiaofei Liao, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Wei Lin, Jingren Zhou, Lidong Zhou:
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. IEEE Trans. Parallel Distributed Syst. 26(6): 1718-1731 (2015) - 2013
- [j8]Nicolas Bruno, Sapna Jain, Jingren Zhou:
Recurring Job Optimization for Massively Distributed Query Processing. IEEE Data Eng. Bull. 36(1): 46-55 (2013) - [j7]Nicolas Bruno, Sapna Jain, Jingren Zhou:
Continuous Cloud-Scale Query Optimization and Processing. Proc. VLDB Endow. 6(11): 961-972 (2013) - 2012
- [j6]Jingren Zhou, Nicolas Bruno, Ming-Chuan Wu, Per-Åke Larson, Ronnie Chaiken, Darren Shakib:
SCOPE: parallel databases meet MapReduce. VLDB J. 21(5): 611-636 (2012) - 2008
- [j5]Ronnie Chaiken, Bob Jenkins, Per-Åke Larson, Bill Ramsey, Darren Shakib, Simon Weaver, Jingren Zhou:
SCOPE: easy and efficient parallel processing of massive data sets. Proc. VLDB Endow. 1(2): 1265-1276 (2008) - 2007
- [j4]Per-Åke Larson, Jingren Zhou:
View matching for outer-join views. VLDB J. 16(1): 29-53 (2007) - 2005
- [j3]Kenneth A. Ross, John Cieslewicz, Jun Rao, Jingren Zhou:
Architecture Sensitive Database Design: Examples from the Columbia Group. IEEE Data Eng. Bull. 28(2): 5-10 (2005) - [j2]Kenneth A. Ross, Rada Chirkova, Dimitrios Gunopulos, Rachel Pottinger, Jun Yang, Jingren Zhou:
Reminiscences on influential papers. SIGMOD Rec. 34(1): 74-76 (2005) - 2004
- [j1]Per-Åke Larson, Jonathan Goldstein, Hongfei Guo, Jingren Zhou:
MTCache: Mid-Tier Database Caching for SQL Server. IEEE Data Eng. Bull. 27(2): 35-40 (2004)
Conference and Workshop Papers
- 2024
- [c146]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. ACL (1) 2024: 177-198 - [c145]Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou:
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension. ACL (1) 2024: 1979-1998 - [c144]Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. ACL (1) 2024: 7828-7840 - [c143]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR 2024 - [c142]Rui Wang, Xinjun Yang, Feifei Li, David B. Lomet, Xin Liu, Panfeng Zhou, Yongxiang Chen, David Zhang, Jingren Zhou, Jiesheng Wu:
Bwe-tree: An Evolution of Bw-tree on Fast Storage. ICDE 2024: 5266-5279 - [c141]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. ICLR 2024 - [c140]Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng:
Lipschitz Singularities in Diffusion Models. ICLR 2024 - [c139]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. ICML 2024 - [c138]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD 2024: 5260-5271 - [c137]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys 2024 - [c136]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. NAACL-HLT 2024: 1964-1974 - [c135]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 2024: 120-134 - [c134]Tao He, Shuxian Hu, Longbin Lai, Dongze Li, Neng Li, Xue Li, Lexiao Liu, Xiaojian Luo, Bingqing Lyu, Ke Meng, Sijie Shen, Li Su, Lei Wang, Jingbo Xu, Wenyuan Yu, Weibin Zeng, Lei Zhang, Siyuan Zhang, Jingren Zhou, Xiaoli Zhou, Diwen Zhu:
GraphScope Flex: LEGO-like Graph Computing Stack. SIGMOD Conference Companion 2024: 386-399 - [c133]Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou:
Learned Query Optimizer: What is New and What is Next. SIGMOD Conference Companion 2024: 561-569 - 2023
- [c132]Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou:
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. AAAI 2023: 3787-3795 - [c131]Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael I. Jordan, Zheng-Jun Zha:
Neural Dependencies Emerging from Learning Massive Categories. CVPR 2023: 11711-11720 - [c130]Jiayu Wang, Kang Zhao, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou:
LipFormer: High-fidelity and Generalizable Talking Face Generation with A Pre-learned Facial Codebook. CVPR 2023: 13844-13853 - [c129]Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng:
Dimensionality-Varying Diffusion Process. CVPR 2023: 14307-14316 - [c128]Chen-Wei Xie, Siyang Sun, Xiong Xiong, Yun Zheng, Deli Zhao, Jingren Zhou:
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training. CVPR 2023: 19265-19274 - [c127]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CVPR 2023: 23879-23889 - [c126]Chenliang Li, He Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou:
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. EMNLP (Demos) 2023: 566-578 - [c125]Yutong Feng, Biao Gong, Jianwen Jiang, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou:
ViM: Vision Middleware for Unified Downstream Transferring. ICCV 2023: 11662-11673 - [c124]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [c123]Ke Meng, Liang Geng, Xue Li, Qian Tao, Wenyuan Yu, Jingren Zhou:
Efficient Multi-GPU Graph Processing with Remote Work Stealing. ICDE 2023: 191-204 - [c122]Xue Li, Ke Meng, Lu Qin, Longbin Lai, Wenyuan Yu, Zhengping Qian, Xuemin Lin, Jingren Zhou:
Flash: A Framework for Programming Distributed Graph Processing Algorithms. ICDE 2023: 232-244 - [c121]Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. ICDE 2023: 2766-2779 - [c120]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c119]Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou:
Composer: Creative and Controllable Image Synthesis with Composable Conditions. ICML 2023: 13753-13773 - [c118]Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Cones: Concept Neurons in Diffusion Models for Customized Generation. ICML 2023: 21548-21566 - [c117]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. ICML 2023: 38728-38748 - [c116]Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou:
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation. ICML 2023: 42247-42258 - [c115]Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition. INTERSPEECH 2023: 4943-4947 - [c114]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. IPMI 2023: 119-131 - [c113]Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo:
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. IPMI 2023: 132-144 - [c112]Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD 2023: 3829-3841 - [c111]Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng:
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. MICCAI (2) 2023: 14-24 - [c110]Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi:
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. MICCAI (5) 2023: 72-82 - [c109]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 125-134 - [c108]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. MICCAI (5) 2023: 146-156 - [c107]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. MICCAI (5) 2023: 199-209 - [c106]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. MICCAI (5) 2023: 241-251 - [c105]Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin:
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. MICCAI (10) 2023: 559-569 - [c104]Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu:
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization. MLMI@MICCAI (1) 2023: 126-136 - [c103]Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou:
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone. NeurIPS 2023 - [c102]Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Customizable Image Synthesis with Multiple Subjects. NeurIPS 2023 - [c101]Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou:
VideoComposer: Compositional Video Synthesis with Motion Controllability. NeurIPS 2023 - [c100]Jiayu Wang, Kang Zhao, Yifeng Ma, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou:
FaceComposer: A Unified Model for Versatile Facial Content Creation. NeurIPS 2023 - [c99]Longbin Lai, Yufan Yang, Zhibin Wang, Yuxuan Liu, Haotian Ma, Sijie Shen, Bingqing Lyu, Xiaoli Zhou, Wenyuan Yu, Zhengping Qian, Chen Tian, Sheng Zhong, Yeh-Ching Chung, Jingren Zhou:
GLogS: Interactive Graph Pattern Matching Query At Large Scale. USENIX ATC 2023: 53-69 - [c98]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. USENIX ATC 2023: 165-179 - [c97]Sijie Shen, Zihang Yao, Lin Shi, Lei Wang, Longbin Lai, Qian Tao, Li Su, Rong Chen, Wenyuan Yu, Haibo Chen, Binyu Zang, Jingren Zhou:
Bridging the Gap between Relational OLTP and Graph-based OLAP. USENIX ATC 2023: 181-196 - [c96]Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao:
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW 2023: 3680-3688 - 2022
- [c95]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Strengthening Order Preserving Encryption with Differential Privacy. CCS 2022: 2519-2533 - [c94]Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CIDR 2022 - [c93]Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou:
Learned Query Optimizer: At the Forefront of AI-Driven Databases. EDBT 2022: 1-4 - [c92]Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si:
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. EMNLP 2022: 7241-7259 - [c91]Jianbang Yang, Dahai Tang, Xiaoniu Song, Lei Wang, Qiang Yin, Rong Chen, Wenyuan Yu, Jingren Zhou:
GNNLab: a factored system for sample-based GNN training over GPUs. EuroSys 2022: 417-434 - [c90]Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding:
iFlood: A Stable and Effective Regularizer. ICLR 2022 - [c89]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. ICLR 2022 - [c88]Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha:
Principled Knowledge Extrapolation with GANs. ICML 2022: 6447-6464 - [c87]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML 2022: 23318-23340 - [c86]Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou:
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. KDD 2022: 893-903 - [c85]Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD 2022: 4110-4120 - [c84]Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
Device-cloud Collaborative Recommendation via Meta Controller. KDD 2022: 4353-4362 - [c83]Yaliang Li, Bolin Ding, Jingren Zhou:
A Practical Introduction to Federated Learning. KDD 2022: 4802-4803 - [c82]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. ACM Multimedia 2022: 1819-1827 - [c81]Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang:
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. ECML/PKDD (1) 2022: 474-490 - [c80]Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou:
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. SIGMOD Conference 2022: 531-544 - [c79]Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu:
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. WSDM 2022: 997-1006 - 2021
- [c78]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. AAAI 2021: 4384-4392 - [c77]Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao:
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. AAAI 2021: 15214-15222 - [c76]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) 2021: 514-524 - [c75]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. ACL/IJCNLP (Findings) 2021: 4831-4843 - [c74]Lei Wang, Qiang Yin, Chao Tian, Jianbang Yang, Rong Chen, Wenyuan Yu, Zihang Yao, Jingren Zhou:
FlexGraph: a flexible and efficient distributed framework for GNN training. EuroSys 2021: 67-82 - [c73]Yu Zhu, Zhenhao He, Wenqi Jiang, Kai Zeng, Jingren Zhou, Gustavo Alonso:
Distributed Recommendation Inference on FPGA Clusters. FPL 2021: 279-285 - [c72]Jingren Zhou:
Towards an Integral System for Processing Big Graphs at Scale. HiPC 2021: xxi - [c71]Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou:
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE 2021: 2499-2510 - [c70]Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou:
Large-scale Fake Click Detection for E-commerce Recommendation Systems. ICDE 2021: 2595-2606 - [c69]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. ICDE 2021: 2613-2624 - [c68]Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha:
Uncertainty Principles of Encoding GANs. ICML 2021: 3240-3251 - [c67]Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. ICML 2021: 12663-12673 - [c66]Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. KDD 2021: 3097-3105 - [c65]Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD 2021: 3251-3261 - [c64]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD 2021: 3795-3805 - [c63]Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Learning for Recommendation. KDD 2021: 3865-3874 - [c62]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. KDD 2021: 3985-3995 - [c61]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. MLSys 2021 - [c60]Jingren Zhou:
Large-scale Multi-Modality Pretrained Models: Applications and Experiences. ACM Multimedia 2021: 2644 - [c59]Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, Zheng-Jun Zha, Jingren Zhou, Qifeng Chen:
Low-Rank Subspaces in GANs. NeurIPS 2021: 16648-16658 - [c58]Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. NeurIPS 2021: 27196-27208 - [c57]Zhengping Qian, Chenqiang Min, Longbin Lai, Yong Fang, Gaofeng Li, Youyang Yao, Bingqing Lyu, Xiaoli Zhou, Zhimin Chen, Jingren Zhou:
GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language. NSDI 2021: 321-335 - [c56]Wenfei Fan, Chao Tian, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou:
Incrementalizing Graph Algorithms. SIGMOD Conference 2021: 459-471 - [c55]Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou:
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX ATC 2021: 177-191 - [c54]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. WSDM 2021: 598-606 - [c53]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021: 1262-1273 - 2020
- [c52]Peiquan Jin, Jianchuan Li, Lin Mu, Jingren Zhou, Jie Zhao:
Effective Sentiment Analysis for Multimodal Review Data on the Web. ICA3PP (3) 2020: 623-638 - [c51]Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang:
Inductive Granger Causal Modeling for Multivariate Time Series. ICDM 2020: 972-977 - [c50]Rong Zhu, Sheng Yang, Andreas Pfadler, Zhengping Qian, Jingren Zhou:
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD. ICLR 2020 - [c49]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c48]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Linear and Range Counting under Metric-based Local Differential Privacy. ISIT 2020: 908-913 - [c47]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676 - [c46]Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu:
Comprehensive Information Integration Modeling Framework for Video Titling. KDD 2020: 2744-2754 - [c45]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. ACM Multimedia 2020: 1292-1301 - [c44]Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu:
Learning to Mutate with Hypergradient Guided Population. NeurIPS 2020 - [c43]Jingren Zhou, Peiquan Jin:
Sentiment Analysis of Online Reviews with a Hierarchical Attention Network. SEKE 2020: 429-434 - [c42]Grace Fan, Wenfei Fan, Yuanhao Li, Ping Lu, Chao Tian, Jingren Zhou:
Extending Graph Patterns with Conditions. SIGMOD Conference 2020: 715-729 - [c41]Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou:
Application Driven Graph Partitioning. SIGMOD Conference 2020: 1765-1779 - [c40]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. SIGMOD Conference 2020: 2797-2800 - [c39]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. WWW 2020: 1988-1998 - 2019
- [c38]Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CIKM 2019: 679-688 - [c37]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c36]Jingren Zhou:
Towards self-managing cloud-scale computing platforms: Experiences and challenges. ICDE Workshops 2019: 116 - [c35]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c34]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. KDD 2019: 932-940 - [c33]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019: 1358-1368 - [c32]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD 2019: 2895-2904 - [c31]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD 2019: 3040-3050 - [c30]Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD Conference 2019: 159-176 - [c29]Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou:
Efficient (a,β)-core Computation: an Index-based Approach. WWW 2019: 1130-1141 - 2018
- [c28]Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou:
Deep Graph Embedding for Ranking Optimization in E-commerce. CIKM 2018: 2007-2015 - 2017
- [c27]Jingren Zhou:
Big Data Analytics and Intelligence at Alibaba Cloud. ASPLOS 2017: 1 - 2016
- [c26]Wei Lin, Haochuan Fan, Zhengping Qian, Junwei Xu, Sen Yang, Jingren Zhou, Lidong Zhou:
StreamScope: Continuous Reliable Distributed Processing of Big Data Streams. NSDI 2016: 439-453 - 2014
- [c25]Weizhu Chen, Zhenghao Wang, Jingren Zhou:
Large-scale L-BFGS using MapReduce. NIPS 2014: 1332-1340 - [c24]Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou:
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing. OSDI 2014: 285-300 - 2012
- [c23]Yasin N. Silva, Per-Åke Larson, Jingren Zhou:
Exploiting Common Subexpressions for Cloud Query Processing. ICDE 2012: 1337-1348 - [c22]Sameer Agarwal, Srikanth Kandula, Nicolas Bruno, Ming-Chuan Wu, Ion Stoica, Jingren Zhou:
Reoptimizing Data Parallel Computing. NSDI 2012: 281-294 - [c21]Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Li, Wei Lin, Jingren Zhou, Lidong Zhou:
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions. NSDI 2012: 295-308 - [c20]Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou:
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. OSDI 2012: 121-133 - [c19]Ming-Chuan Wu, Jingren Zhou, Nicolas Bruno, Yu Zhang, Jon Fowler:
Scope playback: self-validation in the cloud. DBTest 2012: 3 - [c18]Jingren Zhou, Nicolas Bruno, Wei Lin:
Advanced partitioning techniques for massively distributed computation. SIGMOD Conference 2012: 13-24 - [c17]Nicolas Bruno, Sameer Agarwal, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou:
Recurring job optimization in scope. SIGMOD Conference 2012: 805-806 - 2010
- [c16]Jingren Zhou, Per-Åke Larson, Ronnie Chaiken:
Incorporating partitioning and parallel plans into the SCOPE optimizer. ICDE 2010: 1060-1071 - 2007
- [c15]Per-Åke Larson, Jingren Zhou:
Efficient Maintenance of Materialized Outer-Join Views. ICDE 2007: 56-65 - [c14]Jingren Zhou, Per-Åke Larson, Jonathan Goldstein, Luping Ding:
Dynamic Materialized Views. ICDE 2007: 526-535 - [c13]Per-Åke Larson, Wolfgang Lehner, Jingren Zhou, Peter Zabback:
Cardinality estimation using sample views with quality assurance. SIGMOD Conference 2007: 175-186 - [c12]Jingren Zhou, Per-Åke Larson, Johann Christoph Freytag, Wolfgang Lehner:
Efficient exploitation of similar subexpressions for query processing. SIGMOD Conference 2007: 533-544 - [c11]Per-Åke Larson, Wolfgang Lehner, Jingren Zhou, Peter Zabback:
Exploiting self-monitoring sample views for cardinality estimation. SIGMOD Conference 2007: 1073-1075 - [c10]Jingren Zhou, Per-Åke Larson, Hicham G. Elmongui:
Lazy Maintenance of Materialized Views. VLDB 2007: 231-242 - 2005
- [c9]David DeHaan, Per-Åke Larson, Jingren Zhou:
Stacked indexed views in microsoft SQL server. SIGMOD Conference 2005: 179-190 - [c8]Jingren Zhou, John Cieslewicz, Kenneth A. Ross, Mihir Shah:
Improving Database Performance on Simultaneous Multithreading Processors. VLDB 2005: 49-60 - [c7]Per-Åke Larson, Jingren Zhou:
View Matching for Outer-Join Views. VLDB 2005: 445-456 - 2004
- [c6]Per-Åke Larson, Jonathan Goldstein, Jingren Zhou:
MTCache: Transparent Mid-Tier Database Caching in SQL Server. ICDE 2004: 177-188 - [c5]Jingren Zhou, Kenneth A. Ross:
Buffering Database Operations for Enhanced Instruction Cache Performance. SIGMOD Conference 2004: 191-202 - 2003
- [c4]Jingren Zhou, Kenneth A. Ross:
A Multi-Resolution Block Storage Model for Database Design. IDEAS 2003: 22-33 - [c3]Per-Åke Larson, Jonathan Goldstein, Jingren Zhou:
Transparent Mid-Tier Database Caching in SQL Server. SIGMOD Conference 2003: 661 - [c2]Jingren Zhou, Kenneth A. Ross:
Buffering Accesses to Memory-Resident Index Structures. VLDB 2003: 405-416 - 2002
- [c1]Jingren Zhou, Kenneth A. Ross:
Implementing database operations using SIMD instructions. SIGMOD Conference 2002: 145-156
Reference Works
- 2018
- [r12]Jingren Zhou:
Evaluation of Relational Operators. Encyclopedia of Database Systems (2nd ed.) 2018 - [r11]Jingren Zhou:
Hash Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r10]Jingren Zhou:
Index Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r9]Jingren Zhou:
Join Order. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Jingren Zhou:
Nested Loop Join. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Jingren Zhou:
Sort-Merge Join. Encyclopedia of Database Systems (2nd ed.) 2018 - 2009
- [r6]Jingren Zhou:
Evaluation of Relational Operators. Encyclopedia of Database Systems 2009: 1024-1029 - [r5]Jingren Zhou:
Hash Join. Encyclopedia of Database Systems 2009: 1288-1289 - [r4]Jingren Zhou:
Index Join. Encyclopedia of Database Systems 2009: 1427-1428 - [r3]Jingren Zhou:
Join Order. Encyclopedia of Database Systems 2009: 1582-1583 - [r2]Jingren Zhou:
Nested Loop Join. Encyclopedia of Database Systems 2009: 1895 - [r1]Jingren Zhou:
Sort-Merge Join. Encyclopedia of Database Systems 2009: 2673-2674
Informal and Other Publications
- 2024
- [i141]Tao He, Xue Li, Zhibin Wang, Kun Qian, Jingbo Xu, Wenyuan Yu, Jingren Zhou:
Unicron: Economizing Self-Healing LLM Training at Scale. CoRR abs/2401.00134 (2024) - [i140]Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang, Yusen Hu, Xianhui Lin, Xiaoyang Kang, Zengke Jin, Bin Luo, Yifeng Geng, Xuansong Xie, Jingren Zhou:
WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope. CoRR abs/2401.01699 (2024) - [i139]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR abs/2401.07854 (2024) - [i138]Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. CoRR abs/2401.12474 (2024) - [i137]Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao:
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR abs/2401.17766 (2024) - [i136]Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Wenyuan Yu, Jingren Zhou:
A Graph-Native Query Optimization Framework. CoRR abs/2401.17786 (2024) - [i135]Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR abs/2402.00518 (2024) - [i134]Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou:
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension. CoRR abs/2402.07729 (2024) - [i133]Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, Jingren Zhou:
AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis. CoRR abs/2402.09742 (2024) - [i132]Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou:
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR abs/2402.14034 (2024) - [i131]Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Chen Li, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou:
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding. CoRR abs/2403.12895 (2024) - [i130]Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou:
RoleInteract: Evaluating the Social Interaction of Role-Playing Agents. CoRR abs/2403.13679 (2024) - [i129]Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou:
A Survey of Distributed Graph Algorithms on Massive Graphs. CoRR abs/2404.06037 (2024) - [i128]Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou:
A Survey on Self-Evolution of Large Language Models. CoRR abs/2404.14387 (2024) - [i127]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR abs/2405.06510 (2024) - [i126]Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR abs/2406.01027 (2024) - [i125]Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou:
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. CoRR abs/2406.13542 (2024) - [i124]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i123]Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen2-Audio Technical Report. CoRR abs/2407.10759 (2024) - [i122]Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR abs/2407.11784 (2024) - [i121]Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
On the Design and Analysis of LLM-Based Algorithms. CoRR abs/2407.14788 (2024) - [i120]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - 2023
- [i119]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i118]Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. CoRR abs/2302.00162 (2023) - [i117]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. CoRR abs/2302.00402 (2023) - [i116]Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou:
Lero: A Learning-to-Rank Query Optimizer. CoRR abs/2302.06873 (2023) - [i115]Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou:
Composer: Creative and Controllable Image Synthesis with Composable Conditions. CoRR abs/2302.09778 (2023) - [i114]Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Yiliang Lv, Deli Zhao, Jingren Zhou:
Rethinking Efficient Tuning Methods from a Unified Perspective. CoRR abs/2303.00690 (2023) - [i113]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. CoRR abs/2303.00942 (2023) - [i112]Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Cones: Concept Neurons in Diffusion Models for Customized Generation. CoRR abs/2303.05125 (2023) - [i111]Yutong Feng, Biao Gong, Jianwen Jiang, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou:
ViM: Vision Middleware for Unified Downstream Transferring. CoRR abs/2303.06911 (2023) - [i110]Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, Tieniu Tan:
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation. CoRR abs/2303.08320 (2023) - [i109]Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR abs/2303.13363 (2023) - [i108]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CoRR abs/2304.00212 (2023) - [i107]Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. CoRR abs/2304.07458 (2023) - [i106]Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou:
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human. CoRR abs/2304.07849 (2023) - [i105]Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou:
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities. CoRR abs/2305.11172 (2023) - [i104]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. CoRR abs/2305.16588 (2023) - [i103]Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao:
Cones 2: Customizable Image Synthesis with Multiple Subjects. CoRR abs/2305.19327 (2023) - [i102]Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou:
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions. CoRR abs/2306.01431 (2023) - [i101]Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou:
VideoComposer: Compositional Video Synthesis with Motion Controllability. CoRR abs/2306.02018 (2023) - [i100]Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng:
Eliminating Lipschitz Singularities in Diffusion Models. CoRR abs/2306.11251 (2023) - [i99]Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, Jingjing Lu, Ke Yan:
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. CoRR abs/2307.03535 (2023) - [i98]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR abs/2307.04525 (2023) - [i97]Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi:
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. CoRR abs/2307.08268 (2023) - [i96]Guohai Xu, Jiayi Liu, Ming Yan, Haotian Xu, Jinghui Si, Zhuoran Zhou, Peng Yi, Xing Gao, Jitao Sang, Rong Zhang, Ji Zhang, Chao Peng, Fei Huang, Jingren Zhou:
CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility. CoRR abs/2307.09705 (2023) - [i95]Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin:
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid. CoRR abs/2307.09727 (2023) - [i94]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists. CoRR abs/2307.10824 (2023) - [i93]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer. CoRR abs/2308.00507 (2023) - [i92]Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng:
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. CoRR abs/2308.04911 (2023) - [i91]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR abs/2308.07074 (2023) - [i90]Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities. CoRR abs/2308.12966 (2023) - [i89]Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR abs/2308.15363 (2023) - [i88]Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou:
TouchStone: Evaluating Vision-Language Models by Language Models. CoRR abs/2308.16890 (2023) - [i87]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR abs/2309.00363 (2023) - [i86]Chenliang Li, Hehong Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou:
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. CoRR abs/2309.00986 (2023) - [i85]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR abs/2309.02033 (2023) - [i84]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CoRR abs/2309.07856 (2023) - [i83]Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i82]Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu:
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads (Extended). CoRR abs/2310.05349 (2023) - [i81]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. CoRR abs/2310.05492 (2023) - [i80]Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou:
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models. CoRR abs/2310.16517 (2023) - [i79]Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang, Xianhui Lin, Xiaoyang Kang, Zengke Jin, Yusen Hu, Bin Luo, Yifeng Geng, Xuansong Xie, Jingren Zhou:
WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models. CoRR abs/2310.18332 (2023) - [i78]Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou:
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone. CoRR abs/2310.19859 (2023) - [i77]Shiwei Zhang, Jiayu Wang, Yingya Zhang, Kang Zhao, Hangjie Yuan, Zhiwu Qin, Xiang Wang, Deli Zhao, Jingren Zhou:
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models. CoRR abs/2311.04145 (2023) - [i76]Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou:
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. CoRR abs/2311.04257 (2023) - [i75]Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, Jingren Zhou:
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models. CoRR abs/2311.07919 (2023) - [i74]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. CoRR abs/2311.08692 (2023) - [i73]Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou:
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following. CoRR abs/2311.17002 (2023) - [i72]Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan:
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion. CoRR abs/2312.04433 (2023) - [i71]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR abs/2312.04916 (2023) - [i70]Xue Li, Weibin Zeng, Zhibin Wang, Diwen Zhu, Jingbo Xu, Wenyuan Yu, Jingren Zhou:
Enhancing Data Lakes with GraphAr: Efficient Graph Data Management with a Specialized Storage Scheme. CoRR abs/2312.09577 (2023) - [i69]Tao He, Shuxian Hu, Longbin Lai, Dongze Li, Neng Li, Xue Li, Lexiao Liu, Xiaojian Luo, Binqing Lyu, Ke Meng, Sijie Shen, Li Su, Lei Wang, Jingbo Xu, Wenyuan Yu, Weibin Zeng, Lei Zhang, Siyuan Zhang, Jingren Zhou, Xiaoli Zhou, Diwen Zhu:
GraphScope Flex: LEGO-like Graph Computing Stack. CoRR abs/2312.12107 (2023) - 2022
- [i68]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR abs/2202.02800 (2022) - [i67]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR abs/2202.03052 (2022) - [i66]Li Su, Xiaoming Qin, Zichao Zhang, Rui Yang, Le Xu, Indranil Gupta, Wenyuan Yu, Kai Zeng, Jingren Zhou:
Banyan: A Scoped Dataflow Engine for Graph Query Service. CoRR abs/2202.12530 (2022) - [i65]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. CoRR abs/2203.15312 (2022) - [i64]Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR abs/2204.05011 (2022) - [i63]Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR abs/2204.05562 (2022) - [i62]Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems. CoRR abs/2205.08084 (2022) - [i61]Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si:
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. CoRR abs/2205.12005 (2022) - [i60]Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha:
Principled Knowledge Extrapolation with GANs. CoRR abs/2205.13444 (2022) - [i59]Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou:
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. CoRR abs/2206.05476 (2022) - [i58]Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang:
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR abs/2206.14366 (2022) - [i57]Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou:
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. CoRR abs/2207.02026 (2022) - [i56]Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Recommendation via Meta Controller. CoRR abs/2207.03066 (2022) - [i55]An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou:
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. CoRR abs/2211.01335 (2022) - [i54]Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael I. Jordan, Zheng-Jun Zha:
Neural Dependencies Emerging from Learning Massive Categories. CoRR abs/2211.12339 (2022) - [i53]Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng:
Dimensionality-Varying Diffusion Process. CoRR abs/2211.16032 (2022) - [i52]Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. CoRR abs/2212.00500 (2022) - [i51]Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou:
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. CoRR abs/2212.04408 (2022) - 2021
- [i50]Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR abs/2101.00808 (2021) - [i49]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. CoRR abs/2101.03298 (2021) - [i48]Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang:
Inductive Granger Causal Modeling for Multivariate Time Series. CoRR abs/2102.05298 (2021) - [i47]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. CoRR abs/2102.09267 (2021) - [i46]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. CoRR abs/2102.09269 (2021) - [i45]Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: A Chinese Multimodal Pretrainer. CoRR abs/2103.00823 (2021) - [i44]Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Learning for Recommendation. CoRR abs/2104.06624 (2021) - [i43]Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CoRR abs/2105.02418 (2021) - [i42]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Conditional Transport for Representation Learning. CoRR abs/2105.03746 (2021) - [i41]Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang:
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. CoRR abs/2105.07944 (2021) - [i40]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. CoRR abs/2105.13868 (2021) - [i39]Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang:
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. CoRR abs/2105.14060 (2021) - [i38]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. CoRR abs/2105.14068 (2021) - [i37]Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. CoRR abs/2105.14211 (2021) - [i36]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. CoRR abs/2105.14778 (2021) - [i35]An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang:
Exploring Sparse Expert Models and Beyond. CoRR abs/2105.15082 (2021) - [i34]Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. CoRR abs/2106.01096 (2021) - [i33]Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, Zhengjun Zha, Jingren Zhou, Qifeng Chen:
Low-Rank Subspaces in GANs. CoRR abs/2106.04488 (2021) - [i32]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. CoRR abs/2106.04928 (2021) - [i31]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) - [i30]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR abs/2109.05877 (2021) - [i29]Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang:
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR abs/2110.03888 (2021) - [i28]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR abs/2111.06061 (2021) - [i27]Rong Zhu, Tianjing Zeng, Andreas Pfadler, Wei Chen, Bolin Ding, Jingren Zhou:
Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size. CoRR abs/2112.03458 (2021) - [i26]Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou:
Baihe: SysML Framework for AI-driven Databases. CoRR abs/2112.14460 (2021) - 2020
- [i25]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i24]Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. CoRR abs/2003.01917 (2020) - [i23]Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang:
InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining. CoRR abs/2003.13198 (2020) - [i22]Lu Qin, Longbin Lai, Kongzhang Hao, Zhongxin Zhou, Yiwei Zhao, Yuxing Han, Xuemin Lin, Zhengping Qian, Jingren Zhou:
Taming the Expressiveness and Programmability of Graph Analytical Queries. CoRR abs/2004.09045 (2020) - [i21]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020) - [i20]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation at Scale. CoRR abs/2005.12964 (2020) - [i19]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu:
Comprehensive Information Integration Modeling Framework for Video Titling. CoRR abs/2006.13608 (2020) - [i18]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR abs/2007.14573 (2020) - [i17]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. CoRR abs/2008.06880 (2020) - [i16]Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou:
Intertwining Order Preserving Encryption and Differential Privacy. CoRR abs/2009.05679 (2020) - [i15]Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version). CoRR abs/2009.13631 (2020) - [i14]Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso:
MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. CoRR abs/2010.05894 (2020) - [i13]Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou:
FSPN: A New Class of Probabilistic Graphical Model. CoRR abs/2011.09020 (2020) - [i12]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. CoRR abs/2011.09022 (2020) - [i11]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. CoRR abs/2012.03540 (2020) - 2019
- [i10]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. CoRR abs/1902.08730 (2019) - [i9]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR abs/1903.12457 (2019) - [i8]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR abs/1905.01669 (2019) - [i7]Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu:
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. CoRR abs/1905.10668 (2019) - [i6]Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang:
Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR abs/1906.00391 (2019) - [i5]Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou:
A Survey and Experimental Analysis of Distributed Subgraph Matching. CoRR abs/1906.11518 (2019) - [i4]Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CoRR abs/1908.10611 (2019) - [i3]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha:
Practical and Robust Privacy Amplification with Multi-Party Differential Privacy. CoRR abs/1908.11515 (2019) - [i2]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. CoRR abs/1909.11778 (2019) - 2018
- [i1]Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou:
PANDA: Facilitating Usable AI Development. CoRR abs/1804.09997 (2018)
Coauthor Index
[j65] [j64] [j62] [j61] [j59] [j57] [j56] [j55] [j54] [j53] [j40] [j37] [j33] [j31] [j25] [j24] [j17] [c143] [c139] [c138] [c137] [c135] [c133] [c120] [c112] [c96] [c95] [c93] [c90] [c86] [c85] [c83] [c80] [c64] [c49] [c48] [c44] [c30] [i135] [i132] [i127] [i126] [i122] [i121] [i120] [i116] [i109] [i89] [i87] [i85] [i84] [i82] [i71] [i68] [i64] [i63] [i59] [i50] [i49] [i31] [i27] [i26] [i25] [i18] [i16] [i3] [i2]
[j50] [j49] [j47] [j30] [j16] [c89] [c87] [c84] [c82] [c81] [c79] [c78] [c76] [c75] [c67] [c65] [c63] [c62] [c58] [c54] [c53] [c51] [c47] [c46] [c45] [c39] [c38] [c34] [c33] [c32] [c31] [i67] [i65] [i62] [i58] [i56] [i48] [i47] [i46] [i45] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [i29] [i28] [i24] [i23] [i21] [i20] [i19] [i17] [i10] [i9] [i8] [i7] [i6] [i4]
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