A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in China. - Juan Zhang; Jie Lou; Zhien Ma; Jianhong Wu (Appl. Math. Comput., 2005)

Drivers Of Knowledge Contribution Quality And Quantity In Online Question And Answering Communities. - Jie Lou; Kai Hin Lim; Yulin Fang; Jerry Zeyu Peng (PACIS, 2011)

Knowledge Contribution in Online Question and Answering Communities: Effects of Groups Membership. - Jie Lou; Yulin Fang; Kai Hin Lim; Jerry Zeyu Peng (ICIS, 2012)

Contributing high quantity and quality knowledge to online Q&A communities. - Jie Lou; Yulin Fang; Kai H. Lim; Jerry Zeyu Peng (J. Assoc. Inf. Sci. Technol., 2013)

Learning to suggest questions in social media. - Tom Chao Zhou; Michael Rung-Tsong Lyu; Irwin King; Jie Lou (Knowl. Inf. Syst., 2015)

A multi-step dynamic equivalent method for urban power grid based on district-dividing. - Xiaoyan Yu; Ke-Jun Li; Mingqiang Wang; Zhuo-di Wang; Kaiqi Sun; Jie Lou (IAS, 2016)

Detecting and monitoring foodborne illness outbreaks: Twitter communications and the 2015 U.S. Salmonella outbreak linked to imported cucumbers. - Yuliya V. Bolotova; Jie Lou; Ilya Safro (CoRR, 2017)

PD Pattern Recognition in Transformers Based on Grey-scale Images and Affinity Propagation Algorithm. - Bengang Wei; Kaixuan Huo; Zhoufei Yao; Jie Lou; Xiangyao Li (ICVARS, 2019)

A Self-Attention Joint Model for Spoken Language Understanding in Situational Dialog Applications. - Mengyang Chen; Jin Zeng; Jie Lou (CoRR, 2019)

All-Digital Time-Domain Compute-in-Memory Engine for Binary Neural Networks With 1.05 POPS/W Energy Efficiency. - Jie Lou; Christian Lanius; Florian Freye; Tim Stadtmann; Tobias Gemmeke (ESSCIRC, 2022)

A System-guidance for Power Router Applications in DC Buildings. - Liangzi Li; Ke-Jun Li; Kaiqi Sun; Yuanyuan Sun 001; Zhijie Liu; Jie Lou (IAS, 2022)

Harmonic Power Flow Calculation Based on Unified Harmonic State-Space Model of Converter. - Yahui Li; Yuanyuan Sun 001; Ke-Jun Li; Jie Lou; Kaiqi Sun; Peng An (IAS, 2022)

A Comparative Study on Power Quality Standards and Interaction Analysis for LVDC Systems. - Yahui Li; Kaiqi Sun; Yuanyuan Sun 001; Ke-Jun Li; Jie Lou; Yanqing Pang (IAS, 2022)

Discrete Steps towards Approximate Computing. - Michael Gansen; Jie Lou; Florian Freye; Tobias Gemmeke; Farhad Merchant; Albert Zeyer; Mohammad Zeineldeen; Ralf Schlüter; Xin Fan 002 (ISQED, 2022)

Understanding the deep structure use of mobile phones - an attachment perspective. - Jie Lou; Lingzhao Deng; Dong Wang (Behav. Inf. Technol., 2022)

Universal Information Extraction as Unified Semantic Matching. - Jie Lou; Yaojie Lu 001; Dai Dai; Wei Jia; Hongyu Lin; Xianpei Han; Le Sun 001; Hua Wu 003 (AAAI, 2023)

Learning In-context Learning for Named Entity Recognition. - Jiawei Chen 011; Yaojie Lu 001; Hongyu Lin; Jie Lou; Wei Jia; Dai Dai; Hua Wu 003; Boxi Cao; Xianpei Han; Le Sun 001 (ACL (1), 2023)

Scalable Time-Domain Compute-in-Memory BNN Engine with 2.06 POPS/W Energy Efficiency for Edge-AI Devices. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (ACM Great Lakes Symposium on VLSI, 2023)

Automatic Generation of Structured Macros Using Standard Cells ‒ Application to CIM. - Christian Lanius; Jie Lou; Johnson Loh; Tobias Gemmeke (ISLPED, 2023)

RHINE: Robust and High-performance Internet Naming with E2E Authenticity. - Huayi Duan; Rubén Fischer; Jie Lou; Si Liu 003; David A. Basin; Adrian Perrig (NSDI, 2023)

An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access. - Yi Chen; Jie Lou; Christian Lanius; Florian Freye; Johnson Loh; Tobias Gemmeke (VLSI-SoC, 2023)

A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator. - Yi Chen; Jie Lou; Christian Lanius; Florian Freye; Johnson Loh; Tobias Gemmeke (VLSI-SoC (Selected Papers), 2023)

ArkGPU: enabling applications' high-goodput co-location execution on multitasking GPUs. - Jie Lou; Yiming Sun; Jie Zhang; Huawei Cao; Yuan Zhang; Ninghui Sun (CCF Trans. High Perform. Comput., 2023)

Model selection and identifiability analysis of HIV and SARS-CoV-2 co-infection model with drug therapy. - Yafei Zhao; Hui Wu; Hua Cheng; Jie Lou (Commun. Nonlinear Sci. Numer. Simul., 2023)

Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition. - Zhenyu Xu; Ziliang Ren; Qieshi Zhang; Jie Lou; Dacheng Tao; Jun Cheng 002 (ICRA, 2024)

Merits of Time-Domain Computing for VMM - A Quantitative Comparison. - Florian Freye; Jie Lou; Christian Lanius; Tobias Gemmeke (ISQED, 2024)

EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer. - Yi Chen; Jie Lou; Malte Wabnitz; Johnson Loh; Tobias Gemmeke (SOCC, 2024)

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic. - Xin Zheng; Jie Lou; Boxi Cao; Xueru Wen; Yuqiu Ji; Hongyu Lin; Yaojie Lu 001; Xianpei Han; Debing Zhang; Le Sun 001 (CoRR, 2024)

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? - Xueru Wen; Jie Lou; Yaojie Lu 001; Hongyu Lin; Xing Yu; Xinyu Lu; Ben He; Xianpei Han; Debing Zhang; Le Sun 001 (CoRR, 2024)

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering. - Xinyan Guan; Yanjiang Liu; Xinyu Lu; Boxi Cao; Ben He; Xianpei Han; Le Sun 001; Jie Lou; Bowen Yu 002; Yaojie Lu 001; Hongyu Lin (CoRR, 2024)

An Energy Efficient All-Digital Time-Domain Compute-in-Memory Macro Optimized for Binary Neural Networks. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Using educational graphics interchange format to enhance the interactive learning for grammatical development. - Jie Lou (Interact. Learn. Environ., 2024)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. - Xueru Wen; Jie Lou; Zichao Li; Yaojie Lu 001; XingYu; Yuqiu Ji; Guohai Xu; Hongyu Lin; Ben He; Xianpei Han; Le Sun 001; Debing Zhang (ACL (1), 2025)

On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation. - Xueru Wen; Jie Lou; Xinyu Lu; Yuqiu Ji; Xinyan Guan; Yaojie Lu 001; Hongyu Lin; Ben He; Xianpei Han; Debing Zhang; Le Sun 001 (ACL (Findings), 2025)

Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic. - Xin Zheng; Jie Lou; Boxi Cao; Xueru Wen; Yuqiu Ji; Hongyu Lin; Yaojie Lu 001; Xianpei Han; Debing Zhang; Le Sun 001 (ACL (Findings), 2025)

GUPA: Group-Wise Uniform Pruning Accelerator for Depthwise Separable Convolution. - Yi Chen; Malte Wabnitz; Jie Lou; Christian Lanius; Tobias Gemmeke (COOL CHIPS, 2025)

A 22nm 96.83-TOPS/W Time-Domain Compute-in-Memory Engine Utilizing Mixed-Fidelity for Edge-AI Applications. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (ACM Great Lakes Symposium on VLSI, 2025)

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? - Xueru Wen; Jie Lou; Yaojie Lu 001; Hongyu Lin; XingYu; Xinyu Lu; Ben He; Xianpei Han; Debing Zhang; Le Sun 001 (ICLR, 2025)

An All-Digital Time-Domain Compute-in-Memory Engine for Convolutional Neural Networks in 22nm. - Jie Lou; Florian Freye; Christian Lanius; Tobias Gemmeke (ISCAS, 2025)

WIEPnP-based 3D expansion measurement of water walls of utility boilers. - Wang Li; Fan Zhou; Ningning Zhao; Leya Zhou; Jie Lou (J. Comput. Methods Sci. Eng., 2025)

Dictionary learning-based graded warning of water wall expansion of utility boilers. - Leya Zhou; Fan Zhou; Shi He; Ningning Zhao; Jie Lou; Yimin Cui (J. Comput. Methods Sci. Eng., 2025)

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing. - Xueru Wen; Jie Lou; Xinyu Lu; Junjie Yang; Yanjiang Liu; Yaojie Lu 001; Debing Zhang; XingYu (CoRR, 2025)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. - Xueru Wen; Jie Lou; Zichao Li; Yaojie Lu 001; Xing Yu; Yuqiu Ji; Guohai Xu; Hongyu Lin; Ben He; Xianpei Han; Le Sun 001; Debing Zhang (CoRR, 2025)

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models. - Zichao Li; Xueru Wen; Jie Lou; Yuqiu Ji; Yaojie Lu 001; Xianpei Han; Debing Zhang; Le Sun 001 (CoRR, 2025)

MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning. - Yiwei Ma; Guohai Xu; Xiaoshuai Sun; Jiayi Ji; Jie Lou; Debing Zhang; Rongrong Ji (CoRR, 2025)

Exploring Implicit Visual Misunderstandings in Multimodal Large Language Models through Attention Analysis. - Pengfei Wang; Guohai Xu; Weinong Wang; Junjie Yang; Jie Lou; Yunhua Xue (CoRR, 2025)

dots.llm1 Technical Report. - Bi Huo; Bin Tu; Cheng Qin; Da Zheng; Debing Zhang; Dongjie Zhang; En Li; Fu Guo; Jian Yao; Jie Lou; Junfeng Tian; Li Hu; et al. (CoRR, 2025)

Model selection and parameter identification analysis in epidemiological models. - Yafei Zhao; Hui Wu; Michael Y. Li; Jie Lou (Math. Comput. Simul., 2026)