Energy-throughput tradeoff in sustainable Cloud-RAN with energy harvesting. - Zhao Chen 002; Ziru Chen; Lin X. Cai; Yu Cheng 003 (ICC, 2017)

A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks. - Ziru Chen; Zhao Chen 002; Lin X. Cai; Yu Cheng 003; Ruoting Gong (iThings/GreenCom/CPSCom/SmartData, 2018)

A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green C-RAN. - Xu Li; Zhao Chen 002; Aurobinda Laha; Ziru Chen; Yu Cheng 003; Lin X. Cai (VTC Spring, 2018)

Optimal Beamforming Design for Simultaneous Wireless Information and Power Transfer in Sustainable Cloud-RAN. - Zhao Chen 002; Ziru Chen; Lin X. Cai; Yu Cheng 003 (IEEE Trans. Green Commun. Netw., 2018)

Analysis of RF Energy Harvesting in Uplink-NOMA IoT-Based Network. - Zhou Ni; Ziru Chen; Qinbo Zhang; Chi Zhou (VTC Fall, 2019)

A Deep Reinforcement learning based Approach for Channel Aggregation in IEEE 802.11 ax. - Mengqi Han; Ziru Chen; Lin X. Cai; Tom H. Luan; Fen Hou (GLOBECOM, 2020)

Optimizing Non-Orthogonal Multiple Access in Random Access Networks. - Ziru Chen; Yong Liu 005; Sami Khairy; Lin X. Cai; Yu Cheng 003; Ran Zhang 001 (VTC Spring, 2020)

Performance Study of Random Access NOMA with Truncated Channel Inversion Power Control. - Ziru Chen; Yong Liu 005; Lin X. Cai; Yu Cheng 003; Ran Zhang 001; Mengqi Han (ICC, 2021)

Time Offsets Format for NOMA System. - Xing Hao; Yuteng Wu; Yu Xiao; Ziru Chen; Guillermo E. Atkin (VTC Fall, 2021)

Performance Study of Cybertwin-Assisted Random Access NOMA. - Ziru Chen; Ran Zhang 001; Yong Liu 005; Lin X. Cai; Qingchun Chen (IEEE Internet Things J., 2021)

A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control. - Ziru Chen; Ran Zhang 001; Lin X. Cai; Yu Cheng 003; Yong Liu 005 (ICC, 2022)

Bootstrapping a User-Centered Task-Oriented Dialogue System. - Shijie Chen; Ziru Chen; Xiang Deng 001; Ashley Lewis; Lingbo Mo; Samuel Stevens 001; Zhen Wang 041; Xiang Yue; Tianshu Zhang 001; Yu Su 001; Huan Sun 001 (CoRR, 2022)

Text-to-SQL Error Correction with Language Models of Code. - Ziru Chen; Shijie Chen; Michael White; Raymond J. Mooney; Ali Payani; Jayanth Srinivasa; Yu Su 001; Huan Sun 001 (ACL (2), 2023)

Error Detection for Text-to-SQL Semantic Parsing. - Shijie Chen; Ziru Chen; Huan Sun 001; Yu Su 001 (EMNLP (Findings), 2023)

Exploring Chain of Thought Style Prompting for Text-to-SQL. - Chang-Yu Tai; Ziru Chen; Tianshu Zhang 001; Xiang Deng 001; Huan Sun 001 (EMNLP, 2023)

Automatic Evaluation of Attribution by Large Language Models. - Xiang Yue; Boshi Wang; Ziru Chen; Kai Zhang 033; Yu Su 001; Huan Sun 001 (EMNLP (Findings), 2023)

MenUnet: An End-to-End 3D Neural Network for Meningioma Segmentation from Multiparametric MRI. - Hui Lin; Xi Cheng; Ziru Chen (BraTS/CrossMoDA@MICCAI, 2023)

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. - Lingbo Mo; Shijie Chen; Ziru Chen; Xiang Deng 001; Ashley Lewis; Sunit Singh; Samuel Stevens 001; Chang-You Tai; Zhen Wang 041; Xiang Yue; Tianshu Zhang 001; Yu Su 001; et al. (SIGDIAL, 2023)

Exploring Chain-of-Thought Style Prompting for Text-to-SQL. - Chang-You Tai; Ziru Chen; Tianshu Zhang 001; Xiang Deng 001; Huan Sun 001 (CoRR, 2023)

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator. - Ziru Chen; Michael White; Raymond J. Mooney; Ali Payani; Yu Su 001; Huan Sun 001 (ACL (1), 2024)

Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks. - Ziru Chen; Zhou Ni; Peiyuan Guan; Lu Wang; Lin X. Cai; Morteza Hashemi; Zongzhi Li (GLOBECOM, 2024)

Context-aware Container Orchestration in Serverless Edge Computing. - Peiyuan Guan; Chen Chen 073; Ziru Chen; Lin X. Cai; Xing Hao; Amir Taherkordi (GLOBECOM, 2024)

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data. - Bo Peng 009; Xinyi Ling; Ziru Chen; Huan Sun 001; Xia Ning (ICML, 2024)

Near-Field and Far-Field Beamforming Design for RIS-enabled Millimeter Wave Systems. - Ziru Chen; Lin X. Cai; Xing Hao (VTC Spring, 2024)

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. - Ziru Chen; Shijie Chen; Yuting Ning; Qianheng Zhang; Boshi Wang; Botao Yu; Yifei Li 005; Zeyi Liao; Chen Wei; Zitong Lu; Vishal Dey; Mingyi Xue 001; et al. (ICLR, 2025)

Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving. - Botao Yu; Frazier N. Baker; Ziru Chen; Garrett Herb; Boyu Gou; Daniel Adu-Ampratwum; Xia Ning; Huan Sun 001 (NAACL (Findings), 2025)

Opportunistic routing for mobile edge computing: A community detected and task priority aware approach. - Jia Wu 002; Tingyi Dai; Peiyuan Guan; Ziru Chen; Fangfang Gou; Amir Taherkordi (Comput. Networks, 2025)

Cost Optimization for Serverless Edge Computing with Budget Constraints using Deep Reinforcement Learning. - Chen Chen 073; Peiyuan Guan; Ziru Chen; Amir Taherkordi; Fen Hou; Lin X. Cai (CoRR, 2025)

Mobile Edge Deployment and Resource Management for Maritime Wireless Networks. - Chaoyue Zhang; Bin Lin 001; Ziru Chen; Lin X. Cai; Jianli Duan (IEEE Trans. Veh. Technol., 2025)

AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. - Yifei Li 005; Hanane Nour Moussa; Ziru Chen; Shijie Chen; Botao Yu; Mingyi Xue 001; Benjamin Burns; Tzu-Yao Chiu; Vishal Dey; Zitong Lu; Chen Wei; Qianheng Zhang; et al. (CoRR, 2025)

Joint Device Selection and Power Control for Energy Sustainable RIS-NOMA-Enhanced Wireless IoT Networks. - Xing Hao; Ziru Chen; Lin Cai 001; Haibo Zhou; Tom H. Luan (IEEE Internet Things J., 2025)