Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks. - Kehan Gao; Haibin Duan; Yan Xu; Yang Zhang; Zhuoshu Li (INDIN, 2012)

Graph Formation Effects on Social Welfare and Inequality in a Networked Resource Game. - Zhuoshu Li; Yu-Han Chang; Rajiv T. Maheswaran (SBP, 2013)

The Role of Common and Private Signals in Two-Sided Matching with Interviews. - Sanmay Das; Zhuoshu Li (WINE, 2014)

Impact of Social Network Structure on Social Welfare and Inequality. - Zhuoshu Li; Zengchang Qin (Social Networks: A Framework of Computational Intelligence, 2014)

An Agent-Based Model of Competition Between Financial Exchanges: Can Frequent Call Mechanisms Drive Trade Away from CDAs? - Zhuoshu Li; Sanmay Das (AAMAS, 2016)

Faster Policy Adaptation in Environments with Exogeneity: A State Augmentation Approach. - Zhuoshu Li; Zhitang Chen; Pascal Poupart; Sanmay Das; Yanhui Geng (AAMAS, 2018)

Equilibrium Behavior in Competing Dynamic Matching Markets. - Zhuoshu Li; Neal Gupta; Sanmay Das; John P. Dickerson (IJCAI, 2018)

Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions. - Zhuoshu Li; Sanmay Das (AAAI, 2019)

Incorporating Compatible Pairs in Kidney Exchange: A Dynamic Weighted Matching Model. - Zhuoshu Li; Kelsey Lieberman; William Macke; Sofia Carrillo; Chien-Ju Ho; Jason Wellen; Sanmay Das (EC, 2019)

FBG Smart Bolts and its Application in Power Grid. - Hongying Zhang; Chao Duan; Zhuoshu Li; Ye Tian 016; Quan Chai; Jianzhong Zhang; Jun Yang 024; Libo Yuan; Kai Xie; Zhongbin Lv (I2MTC, 2019)

FBG Smart Bolts and Their Application in Power Grids. - Chao Duan; Hongying Zhang; Zhuoshu Li; Ye Tian 016; Quan Chai; Jun Yang 024; Libo Yuan; Jianzhong Zhang; Kai Xie; Zhongbin Lv (IEEE Trans. Instrum. Meas., 2020)

Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI Agents. - Lingyun Sun; Zhuoshu Li; Yuyang Zhang; Yanzhen Liu; Shanghua Lou; Zhibin Zhou 002 (CHI Extended Abstracts, 2021)

Accuracy Improvement of Residual Stress Measurement by Chirp Compensation of FBG. - Yao Xu; Chao Duan; Zhuoshu Li; Tao Tan 003; Chengjun Qiu; Gui Xiao; Ye Tian 016; Weibin Zhang; Jianzhong Zhang (IEEE Trans. Instrum. Meas., 2021)

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. - Rohan Anil; Sandra Gadanho; Da Huang; Nijith Jacob; Zhuoshu Li; Dong Lin; Todd Phillips; Cristina Pop 006; Kevin Regan 001; Gil I. Shamir; Rakesh Shivanna; Qiqi Yan (ORSUM@RecSys, 2022)

inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle. - Lingyun Sun; Yuyang Zhang; Zhuoshu Li; Zihong Zhou; Zhibin Zhou 002 (Artif. Intell. Eng. Des. Anal. Manuf., 2022)

Transparent-AI Blueprint: Developing a Conceptual Tool to Support the Design of Transparent AI Agents. - Zhibin Zhou 002; Zhuoshu Li; Yuyang Zhang; Lingyun Sun (Int. J. Hum. Comput. Interact., 2022)

Measurement of Residual Stress Based on a Ring FBG Array. - Jianzhong Zhang; Tao Tan 003; Chao Duan; Zhuoshu Li; Xianghe Liu; Quan Chai; Gui Xiao; Ye Tian 016; Weibin Zhang; Yao Xu (IEEE Trans. Instrum. Meas., 2022)

Designing a Smart VR Painting System with Multisensory Interaction for Immersive Experience. - Zhuoshu Li; Pei Chen 005; Hongbo Zhang; Yexinrui Wu; Kewei Guo; Lingyun Sun (VR Workshops, 2023)

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process. - Lingyun Sun; Zhuoshu Li; Zhibin Zhou 002; Shanghua Lou; Wenan Li; Yuyang Zhang (Artif. Intell. Eng. Des. Anal. Manuf., 2023)

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. - Zihan Wang 010; Deli Chen; Damai Dai; Runxin Xu; Zhuoshu Li; Yu Wu (EMNLP, 2024)

ProtoDreamer: A Mixed-prototype Tool Combining Physical Model and Generative AI to Support Conceptual Design. - Hongbo Zhang; Pei Chen 005; Xuelong Xie; Chaoyi Lin; Lianyan Liu; Zhuoshu Li; Weitao You; Lingyun Sun (UIST, 2024)

DeepSeek-VL: Towards Real-World Vision-Language Understanding. - Haoyu Lu; Wen Liu; Bo Zhang; Bingxuan Wang; Kai Dong 003; Bo Liu 039; Jingxiang Sun; Tongzheng Ren; Zhuoshu Li; Hao Yang; Yaofeng Sun; Chengqi Deng; et al. (CoRR, 2024)

Data Efficiency for Large Recommendation Models. - Kshitij Jain; Jingru Xie; Kevin Regan 001; Cheng Chen; Jie Han; Steve Li; Zhuoshu Li; Todd Phillips; Myles Sussman; Matt Troup; Angel Yu; Jia Zhuo (CoRR, 2024)

An Exploratory Study on How AI Awareness Impacts Human-AI Design Collaboration. - Zhuoyi Cheng; Pei Chen 005; Wenzheng Song; Hongbo Zhang; Zhuoshu Li; Lingyun Sun (IUI, 2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)