Renzhi Chen

39 papers A* 1A 3B 8C 5Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution.
CoRR
Luanrong Chen, Renzhi Chen, Xinyu Li, Shanshan Li, Rui Gong, Lei Wang
2025 A conf
ASNPC: An Automated Generation Framework for SNN and Neuromorphic Processor Co-Design.
DATE
Xiangyu Wang, Yuan Li, Zhijie Yang, Chao Xiao, Xun Xiao, Renzhi Chen, Weixia Xu, Lei Wang
2025 A* conf
Bridging Sequence-Structure Alignment in RNA Foundation Models.
AAAI
Heng Yang, Renzhi Chen, Ke Li
2025 J jnl
ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware Development.
CoRR
Bowei Wang, Jiaran Gao, Yelai Feng, Renzhi Chen, Shanshan Li, Lei Wang
2025 — conf
LintLLM: An Open-Source Verilog Linting Framework Based on Large Language Models.
ACM Great Lakes Symposium on VLSI
Zhigang Fang, Renzhi Chen, Zhijie Yang, Yang Guo, Huadong Dai, Lei Wang
2025 J jnl
LintLLM: An Open-Source Verilog Linting Framework Based on Large Language Models.
CoRR
Zhigang Fang, Renzhi Chen, Zhijie Yang, Yang Guo, Huadong Dai, Lei Wang
2025 J jnl
OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking.
CoRR
Heng Yang, Jack Cole, Yuan Li, Renzhi Chen, Geyong Min, Ke Li
2025 B conf
PerturbGen: A Population Based Perturbation Method for Processor Test Generation.
SMC
Jingkai Wang, Renzhi Chen, Lei Wang
2025 C conf
RTLBench: A Multi-Dimensional Benchmark Suite for Evaluating LLM-Generated RTL Code.
ICCD
Zhigang Fang, Renzhi Chen, Yang Guo, Huadong Dai, Lei Wang
2025 J jnl
RTLSquad: Multi-Agent Based Interpretable RTL Design.
CoRR
Bowei Wang, Qi Xiong, Zeqing Xiang, Lei Wang, Renzhi Chen
2025 B conf
SHL-NAS: Neural Architecture Search for Spiking Neural Networks with SNN Hardware Latency Model.
SMC
Xinyu Li, Renzhi Chen, Lei Wang
2025 A conf
VToT: Automatic Verilog Generation via LLMs with Tree of Thoughts Prompting.
DATE
Yingjie Zhou, Renzhi Chen, Xinyu Li, Jingkai Wang, Zhigang Fang, Bowei Wang, Wenqiang Bai, Qilin Cao, Lei Wang
2024 J jnl
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments.
IEEE Trans. Evol. Comput.
Ke Li, Renzhi Chen, Xin Yao
2024 B conf
A Fast and Safe Neuromorphic Approach for Obstacle Avoidance of Unmanned Aerial Vehicle.
SMC
Zhong Wan, Xiangyu Zhang, Xun Xiao, Jingyue Zhao, Junbo Tie, Renzhi Chen, Shi Xu, Guangda Zhang, Lei Wang, Huadong Dai
2024 C conf
LLM - TG: Towards Automated Test Case Generation for Processors Using Large Language Models.
ICCD
Yifei Deng, Renzhi Chen, Chao Xiao, Zhijie Yang, Yuanfeng Luo, Jingyue Zhao, Na Li, Zhong Wan, Yongbao Ai, Huadong Dai, Lei Wang
2024 A conf
LLM-Based Processor Verification: A Case Study for Neuronnorphic Processor.
DATE
Chao Xiao, Yifei Deng, Zhijie Yang, Renzhi Chen, Hong Wang, Jingyue Zhao, Huadong Dai, Lei Wang, Yuhua Tang, Weixia Xu
2024 C conf
MOTPE/D: Hardware and Algorithm Co-design for Reconfigurable Neuromorphic Processor.
ICCD
Yuan Li, Renzhi Chen, Zhijie Yang, Xun Xiao, Jingyue Zhao, Zhenhua Zhu, Huadong Dai, Yuhua Tang, Weixia Xu, Li Luo, Lei Wang
2024 B conf
Multi-Objective Evolutionary Neural Architecture Search for Liquid State Machine.
SMC
Sida Xin, Renzhi Chen, Xun Xiao, Yuan Li, Lei Wang
2024 C conf
OLSATM: Online Learning Based State-Aware Task Migration on S-NUCA Many-Cores.
ICCD
Yandong He, Guangda Zhang, Yongjun Zhang, Hengzhu Liu, Renzhi Chen
2023 J jnl
Batched Data-Driven Evolutionary Multiobjective Optimization Based on Manifold Interpolation.
IEEE Trans. Evol. Comput.
Ke Li, Renzhi Chen
2023 — conf
Brain-Inspired Binaural Sound Source Localization Method Based on Liquid State Machine.
ICONIP (3)
Yuan Li, Jingyue Zhao, Xun Xiao, Renzhi Chen, Lei Wang
2023 C conf
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts.
EMO
Renzhi Chen, Ke Li
2023 B conf
Multioutput Surrogate Assisted Evolutionary Algorithm for Expensive Multi-Modal Optimization Problems.
SMC
Renzhi Chen, Ke Li
2023 B conf
Workload-Aware Cache Replacement Policy Based on Bayesian Inference.
SMC
Yandong He, Zhong Wan, Renzhi Chen
2022 J jnl
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments.
CoRR
Ke Li, Renzhi Chen, Xin Yao
2022 J jnl
Data-Driven Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent for Disconnected Pareto Fronts.
CoRR
Renzhi Chen, Ke Li
2021 J jnl
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation.
CoRR
Ke Li, Renzhi Chen
2021 B conf
Knee Point Identification Based on the Geometric Characteristic.
SMC
Renzhi Chen, Ke Li
2021 B conf
Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment.
SMC
Renzhi Chen, Ke Li
2019 J jnl
Interactive Decomposition Multiobjective Optimization Via Progressively Learned Value Functions.
IEEE Trans. Fuzzy Syst.
Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao
2019 J jnl
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao
2018 J jnl
Dynamic Multiobjectives Optimization With a Changing Number of Objectives.
IEEE Trans. Evol. Comput.
Renzhi Chen, Ke Li, Xin Yao
2018 — —
Dynamic multi-objective optimization: a two archive strategy.
Renzhi Chen
2018 J jnl
Integration of Preferences in Decomposition Multiobjective Optimization.
IEEE Trans. Cybern.
Ke Li, Renzhi Chen, Geyong Min, Xin Yao
2018 J jnl
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions.
CoRR
Ke Li, Renzhi Chen, Dragan A. Savic, Xin Yao
2017 J jnl
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization.
CoRR
Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao
2016 J jnl
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives.
CoRR
Renzhi Chen, Ke Li, Xin Yao
2016 — ch.
Knowledge Representation and Modelling: Structures and Trade-Offs.
Self-aware Computing Systems
Leandro L. Minku, Lukas Esterle, Georg Nebehay, Renzhi Chen
2014 — conf
Temperature management for heterogeneous multi-core FPGAs using adaptive evolutionary multi-objective approaches.
ICES
Renzhi Chen, Peter R. Lewis, Xin Yao