Conference Publications
[25'NeurIPS] Yuxuan Luo, Yuhui Yuan, Junwen Chen, Haonan Cai, Ziyi Yue, Yuwei Yang, Fatima Zohra Daha, Ji Li, Zhouhui Lian, "MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning", in NeurIPS, 2025
[25'ICCV] Keming Wu, Junwen Chen, Zhanhao Liang, Yinuo Wang, Ji Li, Chao Zhang, Bin Wang, Yuhui Yuan, "Hybrid Layout Control for Diffusion Transformer: Fewer Annotations, Superior Aesthetics", in ICCV, 2025
[25'CVPR] Yifan Pu, Yiming Zhao, Zhicong Tang, Ruihong Yin, Haoxing Ye, Yuhui Yuan, Dong Chen, Jianmin Bao, Sirui Zhang, Yanbin Wang, Lin Liang, Lijuan Wang, Ji Li, Xiu Li, Zhouhui Lian, Gao Huang, Baining Guo, "ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation", in CVPR, 2025
[25'CVPR] Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian, "From Elements to Design: A Layered Approach for Automatic Graphic Design Composition", in CVPR, 2025
[25'CVPR] Zhanhao Liang, Yuhui Yuan, Shuyang Gu, Bohan Chen, Tiankai Hang, Mingxi Cheng, Ji Li, Liang Zheng, "Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization", in CVPR, 2025
[25'CVPR] Yuyang Peng, Shishi Xiao, Keming Wu, Qisheng Liao, Bohan CHEN, Kevin Lin, Danqing Huang, Ji Li, Yuhui Yuan, "BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation", in CVPR, 2025
[25'AAAI] Yueru Jia, Yuhui Yuan, Aosong Cheng, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang, "DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework", in AAAI, 2025
[24'NeurIPS] Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo, "Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms", in NeurIPS, 2024
[24'ECCV] Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan, "Glyph-byt5: A customized text encoder for accurate visual text rendering", in ECCV, 2024
[24'ECCV] Xinzhi Mu, Li Chen, Bohan Chen, Shuyang Gu, Jianmin Bao, Dong Chen, Ji Li, Yuhui Yuan, "FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation", in ECCV, 2024
[24'ECCV] Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, and Xiu Li, "Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators", in ECCV, 2024
[23'IJCAI] Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail Bragin, Ji Li, and Caiwen Ding, "Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models," in IJCAI, 2023
[23'ICCV workshop] Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato, "ClipCrop: Conditioned Cropping Driven by Vision-Language Model", in ICCV workshop, 2023
[23'WACV] Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo, "Unsupervised Hierarchical Grouping for Graphic Design Layout with Bootstrapped Transformers", in WACV, 2023
[23'ICAART] Fatima Zohra Daha, Mingxi Cheng, Amit Srivastava, and Ji Li, "Generation-based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition," in ICAART, 2023 (best industrial paper)
[21'EMNLP] Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran and Caiwen Ding, "A Secure and Efficient Federated Learning Framework for NLP," in ACL EMNLP, 2021
[21'EMNLP] Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran and Caiwen Ding, "TAG: Transformer Attack from Gradient," in ACL Findings of EMNLP, 2021
[20'EMNLP] Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, and Caiwen Ding, "Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning," in ACL Findings of EMNLP, 2020
[20'ISLPED] Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu and Caiwen Ding, "FTRANS: Energy-Efficient Acceleration of Transformers using FPGA," in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2020
[19'ICESS] Zhe Li, Xiaolong Ma, Ji Li, Jian Tang, Qinru Qiu, and Yanzhi Wang, "Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization," in Proc. of the IEEE International Conference on Embedded Software and Systems (ICESS), 2019
[18'ISVLSI] Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan and Yanzhi Wang, "Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing," in Proc. of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2018
[18'ISQED] Raghav Mehta, Yuyang Huang, Mingxi Cheng, Shrey Bagga, Nishant Mathur, Ji Li, Jeffrey Draper, and Shahin Nazarian, "High Performance Training of Deep Neural Networks Using Pipelined Hardware Acceleration and Distributed Memory," in International Symposium on Quality Electronic Design (ISQED), 2018
[18'DATE] Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan and Naehyuck Chang, "Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators," in Proc. of Design Automation and Test in Europe (DATE), 2018
[18'ASP-DAC] Mingxi Cheng, Ji Li, and Shahin Nazarian, "DRL-Cloud: Deep Reinforcement Learning-Based Resource Provisioning and Task Scheduling for Cloud Service Providers," in 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 2018
[17'GLSVLSI] Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, and Yanzhi Wang, "Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks," in Proc. of ACM Great Lakes Symp. on VLSI (GLSVLSI), 2017
[17'GLSVLSI] Huimei Cheng, Ji Li, Jeffrey Draper, Shahin Nazarian, and Yanzhi Wang, "Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems," in Proc. of ACM Great Lakes Symp. on VLSI (GLSVLSI), 2017 (co-first author)
[17'IJCNN] Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, and Yanzhi Wang, "Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks," in International Joint Conference on Neural Networks (IJCNN), 2017
[17'ISQED] Hongjia Li, Ji Li, Wang Yao, Xue Lin, Shahin Nazarian, and Yanzhi Wang, "Fast and Energy-Aware Resource Provisioning and Task Scheduling for Cloud Systems," in International Symposium on Quality Electronic Design (ISQED), 2017
[17'ASPLOS] Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang, "SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing," in 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2017 (Acceptance rate 17.4%)
[17'DATE] Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper and Yanzhi Wang, "Structural Design Optimization for Deep Convolutional Neural Networks using Stochastic Computing," in Proc. of Design Automation and Test in Europe (DATE), 2017 (Acceptance rate 24%+11%)
[17'ASP-DAC] Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, and Yanzhi Wang, "Towards Acceleration of Deep Convolutional Neural Networks using Stochastic Computing," in 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 2017 (invited paper)
[17'ASP-DAC] Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, and Yanzhi Wang, "Algorithm Accelerations for Luminescent Solar Concentrator-Enhanced Reconfigurable Onboard Photovoltaic System," in 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 2017
[16'DAC] Ji Li and Jeffrey Draper, "Accelerating Soft-Error-Rate (SER) Estimation in the Presence of Single Event Transients," Proc. of Design Automation Conf. (DAC), 2016 (Acceptance rate 17%)
[16'ISQED] Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, and Massoud Pedram, "Negotiation-Based Resource Provisioning and Task Scheduling Algorithm for Cloud Systems," Int’l Symposium on Quality Electronic Design (ISQED), 2016
[16'ICCD] Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, and Bo Yuan, "DSCNN: Hardware-Oriented Optimization for Stochastic Computing Based Deep Convolutional Neural Networks," in 2016 IEEE International Conference on Computer Design (ICCD), 2016
[16'ISQED] Tiansong Cui, Ji Li, Alireza Shafaei, Shahin Nazarian, and Massoud Pedram, "An Efficient Timing Analysis Model for 6T FinFET SRAM using Current-Based Method," Int’l Symposium on Quality Electronic Design (ISQED), 2016
[16'ISVLSI] Ji Li and Jeffrey Draper, "Joint Soft-Error-Rate (SER) Estimation for Combinational Logic and Sequential Elements," Proc. of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2016
[15'ASP-DAC] Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, and Massoud Pedram, "Negotiation-Based Task Scheduling and Storage Control Algorithm to Minimize User’s Electric Bills under Dynamic Prices," Proc. of Asia South Pacific Design Automation Conference (ASP-DAC), 2015
[15'DATE] Ji Li, Qing Xie, Yanzhi Wang, Shahin Nazarian, and Massoud Pedram, "Leakage Power Reduction for DeeplyScaled FinFET Circuits Operating in Multiple Voltage Regimes Using Fine-Grained Gate-Length Biasing Technique," Proc. of Design Automation and Test in Europe (DATE), 2015 (Acceptance rate 22.4%+9.4%)
[14'Online GreenComm] Ji Li, Tiansong Cui, Yanzhi Wang, Shahin Nazarian, and Massoud Pedram, "Negotiation-Based Task Scheduling to Minimize User’s Electricity Bills under Dynamic Energy Prices," Proc. of Online Green Communications Conference (Online GreenComm), 2014
Technical Reports
[2024] Zeyu Liu, Weicong Liang, Yiming Zhao, Bohan Chen, Lin Liang, Lijuan Wang, Ji Li, Yuhui Yuan, "Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering"
Journal Publications
[19'ACS Appl. Mater. Interfaces] Qingzhou Liu, Yihang Liu, Ji Li, Christian Lau, Fanqi Wu, Anyi Zhang, Zhen Li, Mingrui Chen, Hongyu Fu, Jeffrey Draper, Xuan Cao, and Chongwu Zhou, "Fully Printed All-Solid-State Organic Flexible Artificial Synapse for Neuromorphic Computing", in ACS Appl. Mater. Interfaces 2019, 11, 16749−16757
[19'TCAD] Mingxi Cheng, Ji Li, Paul Bogdan, and Shahin Nazarian, "Resource and Quality of Service-Aware Task Scheduling for Warehouse-Scale Data Centers: A Hierarchical and Hybrid Online Deep Reinforcement Learning-Based Framework", in IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems, 2019
[19'IET-CDT] Yang Zhang, Ji Li, Huimei Cheng, Haipeng Zha, Jeff Draper, Peter Beerel, "Yield Modeling and Analysis of Bundled Data and Ring-Oscillator Based Designs", in IET Computers & Digital Techniques, 2019
[18'TCAD] Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang, "HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks", in IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems, 2018
[18'INTEGRATION] Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, and Yanzhi Wang, "Normalization and Dropout for Stochastic Computing-Based Deep Convolutional Neural Networks," in Elsevier’s Integration, the VLSI Journal, 2018
[17'IET-CPS] Ji Li, Xue Lin, Shahin Nazarian, and Massoud Pedram, "CTS2M: Concurrent Task Scheduling and Storage Management for Residential Energy Consumers under Dynamic Energy Pricing," in IET Cyber-Physical Systems: Theory & Applications, 2017
[17'TODAES] Ji Li and Jeffrey Draper, "Accelerated Soft-Error-Rate (SER) Estimation for Combinational and Sequential Circuits," in ACM Transactions on Design Automation of Electronic Systems (TODAES), Vol. 22, No. 3, Article 57, Pub. date: May 2017
[17'TODAES] Yuankun Xue, Ji Li, Shahin Nazarian, and Paul Bogdan, "Fundamental Challenges Towards Making IoT a Reachable Reality: A Model-centric Investigation," in ACM Transactions on Design Automation of Electronic Systems (TODAES), Vol. 22, No. 3, Article 53, Pub. date: April 2017
[17'D&T] Caiwen Ding, Ning Liu, Ji Li, Soroush Heidari, Jintong Hu, Yongpan Liu, and Yanzhi Wang, "Multi-Source In-Door Energy Harvesting for Non-Volatile Processors," in IEEE Design and Test (D&T), 2017
[17'TETC] Tiansong Cui, Ji Li, Yanzhi Wang, Shahin Nazarian, and Massoud Pedram, "An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes," in IEEE Transactions on Emerging Topics in Computing (TETC), 2017 (co-first author)