Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches. - Renzhi Chen; Peter R. Lewis 001; Xin Yao 001 (ICES, 2014)

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives. - Renzhi Chen; Ke Li 001; Xin Yao 001 (CoRR, 2016)

Knowledge Representation and Modelling: Structures and Trade-Offs. - Leandro L. Minku; Lukas Esterle; Georg Nebehay; Renzhi Chen (Self-aware Computing Systems, 2016)

Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization. - Ke Li 001; Renzhi Chen; Guangtao Fu; Xin Yao 001 (CoRR, 2017)

Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions. - Ke Li 001; Renzhi Chen; Dragan A. Savic; Xin Yao 001 (CoRR, 2018)

Integration of Preferences in Decomposition Multiobjective Optimization. - Ke Li 001; Renzhi Chen; Geyong Min; Xin Yao 001 (IEEE Trans. Cybern., 2018)

Dynamic Multiobjectives Optimization With a Changing Number of Objectives. - Renzhi Chen; Ke Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

Dynamic multi-objective optimization: a two archive strategy. - Renzhi Chen (2018)

Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. - Ke Li 001; Renzhi Chen; Guangtao Fu; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions. - Ke Li 001; Renzhi Chen; Dragan A. Savic; Xin Yao 001 (IEEE Trans. Fuzzy Syst., 2019)

Knee Point Identification Based on the Geometric Characteristic. - Renzhi Chen; Ke Li 001 (SMC, 2021)

Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment. - Renzhi Chen; Ke Li 001 (SMC, 2021)

Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation. - Ke Li 001; Renzhi Chen (CoRR, 2021)

Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts. - Renzhi Chen; Ke Li 001 (EMO, 2023)

Brain-Inspired Binaural Sound Source Localization Method Based on Liquid State Machine. - Yuan Li; Jingyue Zhao; Xun Xiao; Renzhi Chen; Lei Wang (ICONIP (3), 2023)

Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems. - Renzhi Chen; Ke Li 001 (SMC, 2023)

Workload-Aware Cache Replacement Policy Based on Bayesian Inference. - Yandong He; Zhong Wan; Renzhi Chen (SMC, 2023)

Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation. - Ke Li 001; Renzhi Chen (IEEE Trans. Evol. Comput., 2023)

LLM-Based Processor Verification: A Case Study for Neuronnorphic Processor. - Chao Xiao; Yifei Deng; Zhijie Yang; Renzhi Chen; Hong Wang; Jingyue Zhao; Huadong Dai; Lei Wang; Yuhua Tang; Weixia Xu (DATE, 2024)

LLM - TG: Towards Automated Test Case Generation for Processors Using Large Language Models. - Yifei Deng; Renzhi Chen; Chao Xiao; Zhijie Yang; Yuanfeng Luo; Jingyue Zhao; Na Li; Zhong Wan; Yongbao Ai; Huadong Dai; Lei Wang (ICCD, 2024)

OLSATM: Online Learning Based State-Aware Task Migration on S-NUCA Many-Cores. - Yandong He; Guangda Zhang; Yongjun Zhang; Hengzhu Liu; Renzhi Chen (ICCD, 2024)

MOTPE/D: Hardware and Algorithm Co-design for Reconfigurable Neuromorphic Processor. - Yuan Li; Renzhi Chen; Zhijie Yang; Xun Xiao; Jingyue Zhao; Zhenhua Zhu; Huadong Dai; Yuhua Tang; Weixia Xu; Li Luo; Lei Wang (ICCD, 2024)

A Fast and Safe Neuromorphic Approach for Obstacle Avoidance of Unmanned Aerial Vehicle. - Zhong Wan; Xiangyu Zhang; Xun Xiao; Jingyue Zhao; Junbo Tie; Renzhi Chen; Shi Xu; Guangda Zhang; Lei Wang; Huadong Dai (SMC, 2024)

Multi-Objective Evolutionary Neural Architecture Search for Liquid State Machine. - Sida Xin; Renzhi Chen; Xun Xiao; Yuan Li; Lei Wang (SMC, 2024)

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments. - Ke Li 001; Renzhi Chen; Xin Yao 001 (IEEE Trans. Evol. Comput., 2024)

Bridging Sequence-Structure Alignment in RNA Foundation Models. - Heng Yang; Renzhi Chen; Ke Li (AAAI, 2025)

ASNPC: An Automated Generation Framework for SNN and Neuromorphic Processor Co-Design. - Xiangyu Wang; Yuan Li; Zhijie Yang; Chao Xiao; Xun Xiao; Renzhi Chen; Weixia Xu; Lei Wang (DATE, 2025)

VToT: Automatic Verilog Generation via LLMs with Tree of Thoughts Prompting. - Yingjie Zhou; Renzhi Chen; Xinyu Li; Jingkai Wang; Zhigang Fang 002; Bowei Wang; Wenqiang Bai; Qilin Cao; Lei Wang 011 (DATE, 2025)

LintLLM: An Open-Source Verilog Linting Framework Based on Large Language Models. - Zhigang Fang 002; Renzhi Chen; Zhijie Yang; Yang Guo 003; Huadong Dai; Lei Wang 011 (ACM Great Lakes Symposium on VLSI, 2025)

RTLSquad: Multi-Agent Based Interpretable RTL Design. - Bowei Wang; Qi Xiong; Zeqing Xiang; Lei Wang; Renzhi Chen (CoRR, 2025)

ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development. - Bowei Wang; Jiaran Gao; Yelai Feng; Renzhi Chen; Shanshan Li; Lei Wang (CoRR, 2025)

OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking. - Heng Yang 008; Jack Cole; Yuan Li; Renzhi Chen; Geyong Min; Ke Li 001 (CoRR, 2025)