Tongxuan Liu

According to our database, Tongxuan Liu authored at least 31 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FastOCR: Dynamic Visual Fixation via KV Cache Pruning for Efficient Document Parsing.

Zihan Tang, Leqi Shen, Hui Chen, Ao Wang, Ben Wan, Yan Feng, Ke Zhang, Sicheng Zhao, Tongxuan Liu, Guiguang Ding

CoRR, May, 2026

MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference.

Ruijie Zhou, Fanxu Meng, Yufei Xu, Tongxuan Liu, Guangming Lu, Muhan Zhang, Wenjie Pei

CoRR, May, 2026

RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference.

Ben Wan, Yan Feng, Zihan Tang, Weizhe Huang, Yuting Zeng, Jia Wang, Tongxuan Liu

CoRR, May, 2026

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention.

Yufei Xu, Fanxu Meng, Fan Jiang, Yuxuan Wang, Ruijie Zhou, Zhaohui Wang, Jiexi Wu, Zhixin Pan, Xiaojuan Tang, Wenjie Pei, Tongxuan Liu, Di yin, Xing Sun, Muhan Zhang

CoRR, March, 2026

Do Transformers Have the Ability for Periodicity Generalization?

Huanyu Liu, Ge Li, Yihong Dong, Sihan Wu, Peixu Wang, Sihao Cheng, Taozhi Chen, Kechi Zhang, Hao Zhu, Tongxuan Liu

CoRR, January, 2026

IFDNS: An Iterative Feedback-Driven Neuro-Symbolic Method for Faithful Logical Reasoning.

Xiaoheng Wang, Tongxuan Liu, Zi Gong, Xianzhe Dong, Yuting Zeng, Minhan Hu, Weizhe Huang, Jing Li

CoRR, January, 2026

Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?

Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu

Proceedings of the ACM Web Conference 2026, 2026

From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation.

Qingchuan Li, Mingyue Cheng, Zirui Liu, Daoyu Wang, Yuting Zeng, Tongxuan Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation.

Xuegang Hao, Ming Zhang, Alex Li, Xiangyu Qian, Zhi Ma, Yanlong Zang, Shijie Yang, Zhongxuan Han, Xiaolong Ma, Jinguang Liu, Zhen Li, Zhida Jiang, Shusheng Wang, Ning Tang, Yanchen Qiao, Chenxiang Yang, Chen Sun, Jincheng Yuan, Chunhua Peng, Heng Hu, Peijun Yang, Baopeng Yuan, Caiyun Qiu, Zhaolong Xing, Haofei Yuan, Haipeng Zhang, Yuzhang Guo, Weijie Ding, Jiahua Gao, Hao Huang, Zhen Chen, Tongxuan Liu, Pinghua Gong

CoRR, December, 2025

PROSERVE: Unified Multi-Priority Request Scheduling for LLM Serving.

Weizhe Huang, Tao Peng, Tongxuan Liu, Donghe Jin, Xianzhe Dong, Ke Zhang

CoRR, December, 2025

xGR: Efficient Generative Recommendation Serving at Scale.

Qingxiao Sun, Tongxuan Liu, Shen Zhang, Siyu Wu, Peijun Yang, Haotian Liang, Menxin Li, Xiaolong Ma, Zhiwei Liang, Ziyi Ren, Minchao Zhang, Xinyu Liu, Ke Zhang, Depei Qian, Hailong Yang

CoRR, December, 2025

OOCO: Latency-disaggregated Architecture for Online-Offline Co-locate LLM Serving.

Siyu Wu, Zihan Tang, Yuting Zeng, Hui Chen, Guiguang Ding, Tongxuan Liu, Ke Zhang, Hailong Yang

CoRR, November, 2025

xLLM Technical Report.

Tongxuan Liu, Tao Peng, Peijun Yang, Xiaoyang Zhao, Xiusheng Lu, Weizhe Huang, Zirui Liu, Xiaoyu Chen, Zhiwei Liang, Jun Xiong, Donghe Jin, Minchao Zhang, Jinrong Guo, Yingxu Deng, Xu Zhang, Xianzhe Dong, Siqi Wang, Siyu Wu, Yu Wu, Zihan Tang, Yuting Zeng, Yanshu Wang, Jinguang Liu, Meng Kang, Menxin Li, Yunlong Wang, Yiming Liu, Xiaolong Ma, Yifan Wang, Yichen Zhang, Jinrun Yin, Keyang Zheng, Jiawei Yin, Jun Zhang, Ziyue Wang, Xiaobo Lin, Liangyu Liu, Liwei Lan, Yang Liu, Chunhua Peng, Han Liu, Songcheng Ren, Xuezhu Wang, Yunheng Shen, Yi Wang, Guyue Liu, Hui Chen, Tong Yang, Hailong Yang, Jing Li, Guiguang Ding, Ke Zhang

CoRR, October, 2025

Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?

Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yuting Zeng, Qi Liu, Tongxuan Liu

CoRR, June, 2025

HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving.

Xianzhe Dong, Tongxuan Liu, Yuting Zeng, Liangyu Liu, Yang Liu, Siyu Wu, Yu Wu, Hailong Yang, Ke Zhang, Jing Li

CoRR, May, 2025

Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture.

Yu Wu, Tongxuan Liu, Yuting Zeng, Siyu Wu, Jun Xiong, Xianzhe Dong, Hailong Yang, Ke Zhang, Jing Li

CoRR, May, 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, April, 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, February, 2025

Towards Efficient LLM Inference via Collective and Adaptive Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Yufan Xu, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Ruihao Gong, Rui Wang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models.

Lei Jiang, Zixun Zhang, Yuting Zeng, Chunzhao Xie, Tongxuan Liu, Zhen Li, Lechao Cheng, Xiaohua Xu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

AtRec: Accelerating Recommendation Model Training on CPUs.

Siqi Wang, Tianyu Feng, Hailong Yang, Xin You, Bangduo Chen, Tongxuan Liu, Zhongzhi Luan, Depei Qian

IEEE Trans. Parallel Distributed Syst., June, 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

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

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

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

Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Yongjun Bao, Yi Liu, Zhongzhi Luan, Depei Qian

CoRR, 2024

2021

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.

Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

CoRR, 2020