Energy-recovery CMOS for highly pipelined DSP designs. - William C. Athas; Weichuan Liu; Lars J. Svensson (ISLPED, 1996)

AC-1: a clock-powered microprocessor. - William C. Athas; Nestoras Tzartzanis; Lars J. Svensson; Lena Peterson; Huimin Li; Xing Yu Jiang; Peiqing Wang; Weichuan Liu (ISLPED, 1997)

An inversion-free model predictive control with error compensation for piezoelectric actuators. - Weichuan Liu; Long Cheng 001; Zeng-Guang Hou; Min Tan 001 (ACC, 2015)

Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators. - Long Cheng 001; Weichuan Liu; Zeng-Guang Hou; Junzhi Yu; Min Tan 001 (IEEE Trans. Ind. Electron., 2015)

Neural-network based model predictive control for piezoelectric-actuated stick-slip micro-positioning devices. - Weichuan Liu; Long Cheng 001; Chao Zhou 002; Zeng-Guang Hou; Min Tan 001 (AIM, 2016)

An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators. - Long Cheng 001; Weichuan Liu; Zeng-Guang Hou; Tingwen Huang; Junzhi Yu; Min Tan 001 (IEEE Trans. Ind. Electron., 2017)

A Neural-Network-Based Controller for Piezoelectric-Actuated Stick-Slip Devices. - Long Cheng 001; Weichuan Liu; Chenguang Yang 001; Tingwen Huang; Zeng-Guang Hou; Min Tan 001 (IEEE Trans. Ind. Electron., 2018)

Research on food safety multi-hop reasoning question answering based on cognitive graph. - Yuntao Shi; Jinchao Ni; Shuqin Li; Weichuan Liu; Xiang Ying (ICISCAE, 2022)

A Neural Network and Generalized Predictive Control Framework for Urban Traffic System Optimal Perimeter Control. - Ying Zhang; Yuntao Shi; Xiang Yin; Meng Zhou 006; Weichuan Liu; Daqian Liu (J. Adv. Comput. Intell. Intell. Informatics, 2023)

DebugBench: Evaluating Debugging Capability of Large Language Models. - Runchu Tian; Yining Ye; Yujia Qin; Xin Cong; Yankai Lin; Yinxu Pan; Yesai Wu; Haotian Hui; Weichuan Liu; Zhiyuan Liu 001; Maosong Sun 001 (ACL (Findings), 2024)

Temporal Knowledge Graph for Food Risk Prediction. - Yuntao Shi; Kai Zhou; Meng Zhou 006; Shuqin Li; Weichuan Liu (IEEE Trans. Artif. Intell., 2024)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. - Zijun Yao 002; Weijian Qi; Liangming Pan; Shulin Cao; Linmei Hu; Weichuan Liu; Lei Hou 001; Juanzi Li (ACL (1), 2025)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation. - Zhicheng Lee; Shulin Cao; Jinxin Liu 002; Jiajie Zhang; Weichuan Liu; Xiaoyin Che; Lei Hou 001; Juanzi Li (CoRR, 2025)

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration. - Yilong Li; Chen Qian; Yu Xia; Ruijie Shi; Yufan Dang; Zihao Xie; Ziming You; Weize Chen; Cheng Yang 002; Weichuan Liu; Ye Tian; Xuantang Xiong; et al. (CoRR, 2025)

How does Transformer Learn Implicit Reasoning? - Jiaran Ye; Zijun Yao 002; Zhidian Huang; Liangming Pan; Jinxin Liu 002; Yushi Bai; Amy Xin; Weichuan Liu; Xiaoyin Che; Lei Hou 001; Juanzi Li (CoRR, 2025)