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Jingren Zhou
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2020 – today
- 2024
- [j70]Bolin Ding, Rong Zhu, Jingren Zhou:
Learned Query Optimizers. Found. Trends Databases 13(4): 250-310 (2024) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]Hua Fan, Dachao Fu, Xu Wang, Jiachi Zhang, Chaoji Zuo, Zhengyi Wu, Miao Zhang, Kang Yuan, Xizi Ni, Huo Guocheng, Wenchao Zhou, Feifei Li, Jingren Zhou:
Towards Millions of Database Transmission Services in the Cloud. Proc. VLDB Endow. 17(12): 4001-4013 (2024) - [j62]Qianyu Ouyang, Chunhui Shen, Wenlong Yang, Peng Yu, Qiang Xiao, Jianhui Lei, Yadong Chen, Qilu Zhong, Xiang Wang, Yong Lin, Qingyi Meng, Zhicheng Ji, Wei Meng, Cen Zheng, Sheng Wang, Dan Pei, Wei Zhang, Feifei Li, Jingren Zhou:
Lindorm-UWC: An Ultra-Wide-Column Database for Internet of Vehicles. Proc. VLDB Endow. 17(12): 4117-4129 (2024) - [j61]Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
Towards Efficient Graph Processing in Geo-Distributed Data Centers. IEEE Trans. Parallel Distributed Syst. 35(11): 2147-2160 (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) - [c148]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 - [c147]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 - [c146]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 - [c145]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR 2024 - [c144]Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou:
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following. CVPR 2024: 4744-4753 - [c143]Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan:
Dream Video: Composing Your Dream Videos with Customized Subject and Motion. CVPR 2024: 6537-6549 - [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 - [i152]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) - [i151]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) - [i150]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) - [i149]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) - [i148]Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao:
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR abs/2401.17766 (2024) - [i147]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) - [i146]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) - [i145]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) - [i144]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) - [i143]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) - [i142]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) - [i141]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) - [i140]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) - [i139]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) - [i138]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) - [i137]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) - [i136]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) - [i135]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) - [i134]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) - [i133]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) - [i132]Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
On the Design and Analysis of LLM-Based Algorithms. CoRR abs/2407.14788 (2024) - [i131]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) - [i130]Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou:
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models. CoRR abs/2408.04840 (2024) - [i129]Jingcai Guo, Zhijie Rao, Zhi Chen, Song Guo, Jingren Zhou, Dacheng Tao:
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey. CoRR abs/2408.04879 (2024) - [i128]Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. CoRR abs/2408.10764 (2024) - [i127]Yunkai Lou, Longbin Lai, Bingqing Lyu, Yufan Yang, Xiaoli Zhou, Wenyuan Yu, Ying Zhang, Jingren Zhou:
Towards a Converged Relational-Graph Optimization Framework. CoRR abs/2408.13480 (2024) - [i126]Anwen Hu, Haiyang Xu, Liang Zhang, Jiabo Ye, Ming Yan, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou:
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding. CoRR abs/2409.03420 (2024) - [i125]Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang, Jingren Zhou:
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation. CoRR abs/2409.07416 (2024) - [i124]An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang:
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. CoRR abs/2409.12122 (2024) - [i123]Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, An Yang, Rui Men, Fei Huang, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin:
Qwen2.5-Coder Technical Report. CoRR abs/2409.12186 (2024) - [i122]Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin:
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution. CoRR abs/2409.12191 (2024) - [i121]Ke Yi, Zengke Liu, Jianwei Zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou:
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference. CoRR abs/2409.20361 (2024) - [i120]Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, Jingren Zhou:
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. CoRR abs/2410.00086 (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) - [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]