MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Thomas B. Preußer; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (CoRR, 2020)

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (KDD, 2021)

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Thomas B. Preußer; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (MLSys, 2021)

Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding. - Siqi Wang; Hailong Yang 002; Xuezhu Wang; Tongxuan Liu; Pengbo Wang; Xuning Liang; Kejie Ma; Tianyu Feng; Xin You; Yongjun Bao; Yi Liu 013; Zhongzhi Luan; et al. (CoRR, 2024)

GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion. - Tongxuan Liu; Xingyu Wang; Weizhe Huang; Wenjiang Xu; Yuting Zeng; Lei Jiang; Hailong Yang; Jing Li (CoRR, 2024)

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models. - Tongxuan Liu; Wenjiang Xu; Weizhe Huang; Xingyu Wang; Jiaxing Wang; Hailong Yang; Jing Li (CoRR, 2024)

Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach. - Qingchuan Li; Jiatong Li; Tongxuan Liu; Yuting Zeng; Mingyue Cheng; Weizhe Huang; Qi Liu (CoRR, 2024)

FoPru: Focal Pruning for Efficient Large Vision-Language Models. - Lei Jiang; Weizhe Huang; Tongxuan Liu; Yuting Zeng; Jing Li; Lechao Cheng; Xiaohua Xu (CoRR, 2024)

AtRec: Accelerating Recommendation Model Training on CPUs. - Siqi Wang; Tianyu Feng; Hailong Yang 002; Xin You; Bangduo Chen; Tongxuan Liu; Zhongzhi Luan; Depei Qian (IEEE Trans. Parallel Distributed Syst., 2024)

Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models. - Tongxuan Liu; Wenjiang Xu; Weizhe Huang; Yuting Zeng; Jiaxing Wang; Xingyu Wang; Hailong Yang; Jing Li (NAACL (Long Papers), 2025)

S²-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency. - Yuting Zeng; Weizhe Huang; Lei Jiang; Tongxuan Liu; Xitai Jin; Chen Tianying Tiana; Jing Li; Xiaohua Xu (NAACL (Long Papers), 2025)

S2-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency. - Yuting Zeng; Weizhe Huang; Lei Jiang; Tongxuan Liu; Xitai Jin; Chen Tianying Tiana; Jing Li; Xiaohua Xu (CoRR, 2025)

TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection. - Chunzhao Xie; Tongxuan Liu; Lei Jiang; Yuting Zeng; jinrong Guo; Yunheng Shen; Weizhe Huang; Jing Li; Xiaohua Xu (CoRR, 2025)

Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture. - Yu Wu; Tongxuan Liu; Yuting Zeng; Siyu Wu 001; Jun Xiong; Xianzhe Dong; Hailong Yang; Ke Zhang; Jing Li (CoRR, 2025)

HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving. - Xianzhe Dong; Tongxuan Liu; Yuting Zeng; Liangyu Liu; Yang Liu; Siyu Wu 001; Yu Wu; Hailong Yang; Ke Zhang; Jing Li (CoRR, 2025)

Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts? - Qingchuan Li; Jiatong Li 002; Zirui Liu 010; Mingyue Cheng; Yuting Zeng; Qi Liu 003; Tongxuan Liu (CoRR, 2025)