CPU Microarchitectural Performance Characterization of Cloud Video Transcoding. - Yuhan Chen; Jingyuan Zhu; Tanvir Ahmed Khan; Baris Kasikci (IISWC, 2020)

Frequency Transfer Model: Generating High Frequency Components for Fluid Simulation Details Reconstruction. - Jingyuan Zhu; Huimin Ma 001; Tianyu Hu; Jian Yuan (ICIG (3), 2021)

Physical requirements for scaling up network-based biocomputation. - Jingyuan Zhu; Till Korten; Hillel Kugler; Falco C. M. J. M. van Delft; Alf Månsson; Danny Reuter; Stefan Diez; Heiner Linke (CoRR, 2021)

Making links on your web pages last longer than you. - Ayush Goel; Jingyuan Zhu; Harsha V. Madhyastha (HotNets, 2022)

Characterizing "permanently dead" links on Wikipedia. - Anish Nyayachavadi; Jingyuan Zhu; Harsha V. Madhyastha (IMC, 2022)

Jawa: Web Archival in the Era of JavaScript. - Ayush Goel; Jingyuan Zhu; Ravi Netravali; Harsha V. Madhyastha (OSDI, 2022)

Few-shot Image Generation via Masked Discrimination. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (CoRR, 2022)

Few-shot Image Generation with Diffusion Models. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (CoRR, 2022)

Solving the 3-Satisfiability Problem Using Network-Based Biocomputation. - Jingyuan Zhu; Aseem Salhotra; Christoph Robert Meinecke; Pradheebha Surendiran; Roman Lyttleton; Danny Reuter; Hillel Kugler; Stefan Diez; Alf Månsson; Heiner Linke; Till Korten (Adv. Intell. Syst., 2022)

Design of Underwater Vehicle for Ship Draft Observation. - Jingyuan Zhu; Meng Han; Hongliang Zhang; Lan Qi; Lianyu Zhao; Chenglin Wang 003 (ICMRE, 2023)

Reviving Dead Links on the Web with Fable. - Jingyuan Zhu; Anish Nyayachavadi; Jiangchen Zhu; Vaspol Ruamviboonsuk; Harsha V. Madhyastha (IMC, 2023)

Few-shot 3D Shape Generation. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (CoRR, 2023)

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (CoRR, 2023)

MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned From Image Pairs. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (IEEE Trans. Multim., 2023)

ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models. - Jingyuan Zhu; Shiyu Li; Yuxuan Liu 014; Jian Yuan; Ping Huang; Jiulong Shan; Huimin Ma 001 (NeurIPS, 2024)

Sprinter: Speeding Up High-Fidelity Crawling of the Modern Web. - Ayush Goel; Jingyuan Zhu; Ravi Netravali; Harsha V. Madhyastha (NSDI, 2024)

High-Quality and Diverse Few-Shot Image Generation via Masked Discrimination. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (IEEE Trans. Image Process., 2024)

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs. - Yifan Shen; Yuanzhe Liu; Jingyuan Zhu; Xu Cao; Xiaofeng Zhang; Yixiao He; Wenming Ye; James Matthew Rehg; Ismini Lourentzou (CoRR, 2025)

Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely With Isolated Diffusion Guidance. - Jingyuan Zhu; Huimin Ma 001; Jiansheng Chen; Jian Yuan (IEEE Trans. Vis. Comput. Graph., 2025)