Jingren Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
167
Venues
37
Active years
2002–2026
Best venue rank
A*
Where they publish
- A*SIGMOD22 papers
- A*ACL18 papers
- A*KDD18 papers
- A*ICDE14 papers
- A*ICLR11 papers
- A*ICML10 papers
- A*CVPR7 papers
- AMICCAI7 papers
- A*EMNLP6 papers
- NationalNSDI5 papers
- A*WWW4 papers
- AUSENIX4 papers
- A*VLDB4 papers
- ACIDR3 papers
- AEuroSys3 papers
- A*ICCV3 papers
- A*AAAI3 papers
- ACIKM3 papers
- ANAACL2 papers
- AWSDM2 papers
- A*OSDI2 papers
- BCOLING1 paper
- BPPoPP1 paper
- ASDM1 paper
- A*SOSP1 paper
- AInterspeech1 paper
- A*CCS1 paper
- BEDBT1 paper
- BFPL1 paper
- NationalHiPC1 paper
- CICA3PP1 paper
- A*ICDM1 paper
- A*IJCAI1 paper
- BISIT1 paper
- CSEKE1 paper
- A*ASPLOS1 paper
- CIDEAS1 paper
Papers
167 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Automated Profile Inference with Language Model Agents. | Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li |
| 2026 | ACL | Towards General Agentic Intelligence via Environment Scaling. | Runnan Fang, Shihao Cai, Baixuan Li, Jialong Wu, Guangyu Li, Wenbiao Yin, Xinyu Wang, Xiaobin Wang, Liangcai Su, Zhen Zhang, Shibin Wu, Zhengwei Tao, Yong Jiang, Pengjun Xie, Ningyu Zhang, Fei Huang, Wentao Zhang, Jingren Zhou |
| 2026 | ACL | Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning. | Xin Guan, Zijian Li, Shen Huang, Pengjun Xie, Jingren Zhou, Jiuxin Cao |
| 2026 | ACL | Retrieval Heads are Dynamic. | Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang |
| 2026 | ACL | Nested Browser-Use Learning for Agentic Information Seeking. | Baixuan Li, Jialong Wu, Wenbiao Yin, Kuan Li, Zhongwang Zhang, Huifeng Yin, Zhengwei Tao, Liwen Zhang, Pengjun Xie, Jingren Zhou, Yong Jiang, Wentao Zhang, Zhiqiang Gao |
| 2026 | ACL | BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents. | Litu Ou, Kuan Li, Huifeng Yin, Liwen Zhang, Zhongwang Zhang, Xixi Wu, Rui Ye, Zile Qiao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou |
| 2026 | ACL | WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning. | Xinmiao Yu, Liwen Zhang, Xiaocheng Feng, Pengjun Xie, Jingren Zhou, Bing Qin, Yong Jiang |
| 2026 | CIDR | BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases. | Lianggui Weng, Dandan Liu, Rong Zhu, Bolin Ding, Jingren Zhou |
| 2026 | ICDE | GoCache: Accelerating Out-Of-Core Graph Queries with Pattern-Driven Caching. | Zheng Yang, Yicheng Zhang, Lixiao Cui, Luofan Chen, Chongzhuo Yang, Xiaojian Luo, Sijie Shen, Wenyuan Yu, Jingren Zhou, Cheng Li |
| 2026 | NSDI | ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production. | Yuxing Xiang, Xue Li, Kun Qian, Yan Zhang, Wenyuan Yu, Ennan Zhai, Xin Jin, Jingren Zhou |
| 2026 | SIGMOD | AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL. | Zhongjun Ding, Yin Lin, Tianjing Zeng, Rong Zhu, Bolin Ding, Jingren Zhou |
| 2026 | SIGMOD | Learned Query Optimizer in Alibaba MaxCompute: Challenges, Analysis, and Solutions. | Lianggui Weng, Dandan Liu, Wenzhuang Zhu, Rong Zhu, Junzheng Zheng, Bolin Ding, Zhiguo Zhang, Jingren Zhou |
| 2025 | ACL | FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point. | Ke Yi, Jianwei Zhang, Zhiying Xu, Xinlong Yang, Yang Zhou, Minmin Sun, Zengke Liu, Tong Zhang, Junyang Lin, Jingren Zhou |
| 2025 | ACL | mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding. | Anwen Hu, Haiyang Xu, Liang Zhang, Jiabo Ye, Ming Yan, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou |
| 2025 | ACL | Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. | Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | ACL | Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models. | Hao Xiang, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Ben He, Le Sun, Jingren Zhou, Junyang Lin |
| 2025 | ACL | The Lessons of Developing Process Reward Models in Mathematical Reasoning. | Zhenru Zhang, Chujie Zheng, Yangzhen Wu, Beichen Zhang, Runji Lin, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | ACL | ProcessBench: Identifying Process Errors in Mathematical Reasoning. | Chujie Zheng, Zhenru Zhang, Beichen Zhang, Runji Lin, Keming Lu, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | COLING | AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations. | Qian Tao, Wenyuan Yu, Jingren Zhou |
| 2025 | EMNLP | RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing. | Hao Xiang, Tianyi Tang, Yang Su, Bowen Yu, An Yang, Fei Huang, Yichang Zhang, Yaojie Lu, Hongyu Lin, Xianpei Han, Jingren Zhou, Junyang Lin, Le Sun |
| 2025 | EMNLP | P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs. | Yidan Zhang, Yu Wan, Boyi Deng, Baosong Yang, Haoran Wei, Fei Huang, Bowen Yu, Dayiheng Liu, Junyang Lin, Fei Huang, Jingren Zhou |
| 2025 | EuroSys | Moko: Marrying Python with Big Data Systems. | Ke Meng, Tao He, Sijie Shen, Lei Wang, Wenyuan Yu, Jingren Zhou |
| 2025 | ICCV | ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling. | Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, Jingren Zhou |
| 2025 | ICLR | Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference. | Ke Yi, Zengke Liu, Jianwei Zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou |
| 2025 | ICLR | Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. | Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2025 | ICLR | ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. | Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou |
| 2025 | ICLR | Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. | Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu |
| 2025 | ICLR | mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models. | Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou |
| 2025 | ICML | Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development. | Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2025 | NAACL | GenSim: A General Social Simulation Platform with Large Language Model based Agents. | Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen |
| 2025 | PPoPP | Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. | Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou |
| 2025 | SIGMOD | A Modular Graph-Native Query Optimization Framework. | Bingqing Lyu, Xiaoli Zhou, Longbin Lai, Yufan Yang, Yunkai Lou, Wenyuan Yu, Ying Zhang, Jingren Zhou |
| 2025 | SDM | Language Models are Explorers for Join Discovery on Data Lakes. | Yaohua Wang, Bolin Ding, Rong Zhu, Haibin Wang, Zhijian Ma, Jingren Zhou |
| 2025 | SOSP | Aegaeon: Effective GPU Pooling for Concurrent LLM Serving on the Market. | Yuxing Xiang, Xue Li, Kun Qian, Yufan Yang, Diwen Zhu, Wenyuan Yu, Ennan Zhai, Xuanzhe Liu, Xin Jin, Jingren Zhou |
| 2024 | ACL | How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. | Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. | Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ACL | AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension. | Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou |
| 2024 | CIDR | SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. | Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou |
| 2024 | CVPR | Dream Video: Composing Your Dream Videos with Customized Subject and Motion. | Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan |
| 2024 | CVPR | Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following. | Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou |
| 2024 | EMNLP | mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding. | Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou |
| 2024 | EMNLP | Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. | Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ICDE | Bw | Rui Wang, Xinjun Yang, Feifei Li, David B. Lomet, Xin Liu, Panfeng Zhou, Yongxiang Chen, David Zhang, Jingren Zhou, Jiesheng Wu |
| 2024 | ICLR | #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. | Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou |
| 2024 | ICLR | Lipschitz Singularities in Diffusion Models. | Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng |
| 2024 | ICML | EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. | Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2024 | KDD | FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. | Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2024 | NAACL | Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. | Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | SIGMOD | Data-Juicer: A One-Stop Data Processing System for Large Language Models. | 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 |
| 2024 | SIGMOD | GraphScope Flex: LEGO-like Graph Computing Stack. | 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 |
| 2024 | SIGMOD | Learned Query Optimizer: What is New and What is Next. | Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou |
| 2023 | AAAI | PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. | Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou |
| 2023 | CVPR | Neural Dependencies Emerging from Learning Massive Categories. | Ruili Feng, Kecheng Zheng, Kai Zhu, Yujun Shen, Jian Zhao, Yukun Huang, Deli Zhao, Jingren Zhou, Michael I. Jordan, Zheng-Jun Zha |
| 2023 | CVPR | LipFormer: High-fidelity and Generalizable Talking Face Generation with A Pre-learned Facial Codebook. | Jiayu Wang, Kang Zhao, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou |
| 2023 | CVPR | RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training. | Chen-Wei Xie, Siyang Sun, Xiong Xiong, Yun Zheng, Deli Zhao, Jingren Zhou |
| 2023 | CVPR | Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. | 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 |
| 2023 | CVPR | Dimensionality-Varying Diffusion Process. | Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng |
| 2023 | EMNLP | ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. | 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 |
| 2023 | ICCV | CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. | 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 |
| 2023 | ICCV | ViM: Vision Middleware for Unified Downstream Transferring. | Yutong Feng, Biao Gong, Jianwen Jiang, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou |
| 2023 | ICDE | Flash: A Framework for Programming Distributed Graph Processing Algorithms. | Xue Li, Ke Meng, Lu Qin, Longbin Lai, Wenyuan Yu, Zhengping Qian, Xuemin Lin, Jingren Zhou |
| 2023 | ICDE | Efficient Multi-GPU Graph Processing with Remote Work Stealing. | Ke Meng, Liang Geng, Xue Li, Qian Tao, Wenyuan Yu, Jingren Zhou |
| 2023 | ICDE | Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. | Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou |
| 2023 | ICLR | Learned Index with Dynamic $\epsilon$. | Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou |
| 2023 | ICML | Composer: Creative and Controllable Image Synthesis with Composable Conditions. | Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou |
| 2023 | ICML | Cones: Concept Neurons in Diffusion Models for Customized Generation. | Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao |
| 2023 | ICML | mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. | 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 |
| 2023 | ICML | RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation. | Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou |
| 2023 | Interspeech | MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition. | Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou |
| 2023 | KDD | FS-REAL: Towards Real-World Cross-Device Federated Learning. | Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2023 | MICCAI | SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. | Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng |
| 2023 | MICCAI | Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. | 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 |
| 2023 | MICCAI | SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. | Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin |
| 2023 | MICCAI | M | Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo |
| 2023 | MICCAI | Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. | 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 |
| 2023 | MICCAI | Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. | 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 |
| 2023 | MICCAI | Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. | Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang |
| 2023 | WWW | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. | Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2023 | USENIX | GLogS: Interactive Graph Pattern Matching Query At Large Scale. | 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 |
| 2023 | USENIX | Bridging the Gap between Relational OLTP and Graph-based OLAP. | Sijie Shen, Zihang Yao, Lin Shi, Lei Wang, Longbin Lai, Qian Tao, Li Su, Rong Chen, Wenyuan Yu, Haibo Chen, Binyu Zang, Jingren Zhou |
| 2023 | USENIX | Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. | Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu |
| 2022 | CCS | Strengthening Order Preserving Encryption with Differential Privacy. | Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou |
| 2022 | CIDR | A Unified Transferable Model for ML-Enhanced DBMS. | Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou |
| 2022 | EDBT | Learned Query Optimizer: At the Forefront of AI-Driven Databases. | Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou |
| 2022 | EMNLP | mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. | 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 |
| 2022 | EuroSys | GNNLab: a factored system for sample-based GNN training over GPUs. | Jianbang Yang, Dahai Tang, Xiaoniu Song, Lei Wang, Qiang Yin, Rong Chen, Wenyuan Yu, Jingren Zhou |
| 2022 | ICLR | iFlood: A Stable and Effective Regularizer. | Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding |
| 2022 | ICLR | Reliable Adversarial Distillation with Unreliable Teachers. | Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang |
| 2022 | ICML | Principled Knowledge Extrapolation with GANs. | Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha |
| 2022 | ICML | OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. | Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang |
| 2022 | KDD | A Practical Introduction to Federated Learning. | Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | KDD | Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. | Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou |
| 2022 | KDD | FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. | Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | KDD | Device-cloud Collaborative Recommendation via Meta Controller. | Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang |
| 2022 | SIGMOD | One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. | Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng, Jingren Zhou |
| 2022 | WSDM | Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. | Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu |
| 2021 | AAAI | Dynamic Memory based Attention Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2021 | AAAI | Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. | Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao |
| 2021 | ACL | Learning Relation Alignment for Calibrated Cross-modal Retrieval. | Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang |
| 2021 | ACL | Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. | Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang |
| 2021 | EuroSys | FlexGraph: a flexible and efficient distributed framework for GNN training. | Lei Wang, Qiang Yin, Chao Tian, Jianbang Yang, Rong Chen, Wenyuan Yu, Zihang Yao, Jingren Zhou |
| 2021 | FPL | Distributed Recommendation Inference on FPGA Clusters. | Yu Zhu, Zhenhao He, Wenqi Jiang, Kai Zeng, Jingren Zhou, Gustavo Alonso |
| 2021 | HiPC | Towards an Integral System for Processing Big Graphs at Scale. | Jingren Zhou |
| 2021 | ICDE | Large-scale Fake Click Detection for E-commerce Recommendation Systems. | Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou |
| 2021 | ICDE | ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. | Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou |
| 2021 | ICDE | Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. | Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui |
| 2021 | ICML | Uncertainty Principles of Encoding GANs. | Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao, Jingren Zhou, Zheng-Jun Zha |
| 2021 | ICML | Learning to Rehearse in Long Sequence Memorization. | Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao |
| 2021 | KDD | FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. | Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso |
| 2021 | KDD | M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. | Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang |
| 2021 | KDD | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | KDD | Device-Cloud Collaborative Learning for Recommendation. | Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang |
| 2021 | KDD | Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. | Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang |
| 2021 | NSDI | GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language. | Zhengping Qian, Chenqiang Min, Longbin Lai, Yong Fang, Gaofeng Li, Youyang Yao, Bingqing Lyu, Xiaoli Zhou, Zhimin Chen, Jingren Zhou |
| 2021 | WWW | Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. | Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang |
| 2021 | SIGMOD | Incrementalizing Graph Algorithms. | Wenfei Fan, Chao Tian, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou |
| 2021 | WSDM | Sparse-Interest Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu |
| 2021 | USENIX | Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. | Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou |
| 2020 | ICA3PP | Effective Sentiment Analysis for Multimodal Review Data on the Web. | Peiquan Jin, Jianchuan Li, Lin Mu, Jingren Zhou, Jie Zhao |
| 2020 | ICDM | Inductive Granger Causal Modeling for Multivariate Time Series. | Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang |
| 2020 | ICLR | Learning Efficient Parameter Server Synchronization Policies for Distributed SGD. | Rong Zhu, Sheng Yang, Andreas Pfadler, Zhengping Qian, Jingren Zhou |
| 2020 | IJCAI | AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. | Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou |
| 2020 | ISIT | Linear and Range Counting under Metric-based Local Differential Privacy. | Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou |
| 2020 | KDD | Understanding Negative Sampling in Graph Representation Learning. | Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2020 | KDD | Comprehensive Information Integration Modeling Framework for Video Titling. | Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu |
| 2020 | WWW | Learning to Hash with Graph Neural Networks for Recommender Systems. | Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2020 | SIGMOD | Extending Graph Patterns with Conditions. | Grace Fan, Wenfei Fan, Yuanhao Li, Ping Lu, Chao Tian, Jingren Zhou |
| 2020 | SIGMOD | Application Driven Graph Partitioning. | Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou |
| 2020 | SIGMOD | Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. | 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 |
| 2020 | SEKE | Sentiment Analysis of Online Reviews with a Hierarchical Attention Network. | Jingren Zhou, Peiquan Jin |
| 2019 | CIKM | Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. | Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao |
| 2019 | CIKM | Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. | Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang |
| 2019 | ICDE | Towards self-managing cloud-scale computing platforms: Experiences and challenges. | Jingren Zhou |
| 2019 | KDD | Representation Learning for Attributed Multiplex Heterogeneous Network. | Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Towards Knowledge-Based Personalized Product Description Generation in E-commerce. | Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Sequential Scenario-Specific Meta Learner for Online Recommendation. | Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. | Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2019 | KDD | A Minimax Game for Instance based Selective Transfer Learning. | Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou |
| 2019 | WWW | Efficient (a,β)-core Computation: an Index-based Approach. | Boge Liu, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang, Jingren Zhou |
| 2019 | SIGMOD | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. | Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha |
| 2018 | CIKM | Deep Graph Embedding for Ranking Optimization in E-commerce. | Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou |
| 2017 | ASPLOS | Big Data Analytics and Intelligence at Alibaba Cloud. | Jingren Zhou |
| 2016 | NSDI | StreamScope: Continuous Reliable Distributed Processing of Big Data Streams. | Wei Lin, Haochuan Fan, Zhengping Qian, Junwei Xu, Sen Yang, Jingren Zhou, Lidong Zhou |
| 2014 | OSDI | Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing. | Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou |
| 2012 | ICDE | Exploiting Common Subexpressions for Cloud Query Processing. | Yasin N. Silva, Per-ke Larson, Jingren Zhou |
| 2012 | NSDI | Reoptimizing Data Parallel Computing. | Sameer Agarwal, Srikanth Kandula, Nicolas Bruno, Ming-Chuan Wu, Ion Stoica, Jingren Zhou |
| 2012 | NSDI | Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions. | Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Li, Wei Lin, Jingren Zhou, Lidong Zhou |
| 2012 | OSDI | Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. | Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou |
| 2012 | SIGMOD | Recurring job optimization in scope. | Nicolas Bruno, Sameer Agarwal, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou |
| 2012 | SIGMOD | Scope playback: self-validation in the cloud. | Ming-Chuan Wu, Jingren Zhou, Nicolas Bruno, Yu Zhang, Jon Fowler |
| 2012 | SIGMOD | Advanced partitioning techniques for massively distributed computation. | Jingren Zhou, Nicolas Bruno, Wei Lin |
| 2010 | ICDE | Incorporating partitioning and parallel plans into the SCOPE optimizer. | Jingren Zhou, Per-ke Larson, Ronnie Chaiken |
| 2007 | ICDE | Efficient Maintenance of Materialized Outer-Join Views. | Per-ke Larson, Jingren Zhou |
| 2007 | ICDE | Dynamic Materialized Views. | Jingren Zhou, Per-ke Larson, Jonathan Goldstein, Luping Ding |
| 2007 | SIGMOD | Cardinality estimation using sample views with quality assurance. | Per-ke Larson, Wolfgang Lehner, Jingren Zhou, Peter Zabback |
| 2007 | SIGMOD | Exploiting self-monitoring sample views for cardinality estimation. | Per-ke Larson, Wolfgang Lehner, Jingren Zhou, Peter Zabback |
| 2007 | SIGMOD | Efficient exploitation of similar subexpressions for query processing. | Jingren Zhou, Per-ke Larson, Johann Christoph Freytag, Wolfgang Lehner |
| 2007 | VLDB | Lazy Maintenance of Materialized Views. | Jingren Zhou, Per-ke Larson, Hicham G. Elmongui |
| 2005 | SIGMOD | Stacked indexed views in microsoft SQL server. | David DeHaan, Per-ke Larson, Jingren Zhou |
| 2005 | VLDB | View Matching for Outer-Join Views. | Per-ke Larson, Jingren Zhou |
| 2005 | VLDB | Improving Database Performance on Simultaneous Multithreading Processors. | Jingren Zhou, John Cieslewicz, Kenneth A. Ross, Mihir Shah |
| 2004 | ICDE | MTCache: Transparent Mid-Tier Database Caching in SQL Server. | Per-ke Larson, Jonathan Goldstein, Jingren Zhou |
| 2004 | SIGMOD | Buffering Database Operations for Enhanced Instruction Cache Performance. | Jingren Zhou, Kenneth A. Ross |
| 2003 | IDEAS | A Multi-Resolution Block Storage Model for Database Design. | Jingren Zhou, Kenneth A. Ross |
| 2003 | SIGMOD | Transparent Mid-Tier Database Caching in SQL Server. | Per-ke Larson, Jonathan Goldstein, Jingren Zhou |
| 2003 | VLDB | Buffering Accesses to Memory-Resident Index Structures. | Jingren Zhou, Kenneth A. Ross |
| 2002 | SIGMOD | Implementing database operations using SIMD instructions. | Jingren Zhou, Kenneth A. Ross |