Vision-Based Assembly of Capillary for Microfluidic Device. - Xiaodong Wang 021; Xiujun Wang; Yi Luo; Chong Liu; Liqun Ma (IROS, 2006)

A Chinese Question Answering Approach Integrating Count-Based and Embedding-Based Features. - Benyou Wang; Jiabin Niu; Liqun Ma; Yuhua Zhang; Lipeng Zhang; Jingfei Li; Peng Zhang 002; Dawei Song 001 (NLPCC/ICCPOL, 2016)

End-to-End Quantum-like Language Models with Application to Question Answering. - Peng Zhang 002; Jiabin Niu; Zhan Su 002; Benyou Wang; Liqun Ma; Dawei Song 001 (AAAI, 2018)

一种新的群智能算法: 狮群算法 (New Swarm Intelligent Algorithms: Lions Algorithm). - Congming Zhang; Liqun Liu; Liqun Ma (计算机科学, 2018)

An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing. - Jianquan Li; Xiaokang Liu; Wenpeng Yin 001; Min Yang 007; Liqun Ma (CoRR, 2019)

Changes in Water Surface Area during 1989-2017 in the Huai River Basin using Landsat Data and Google Earth Engine. - Haoming Xia; Jinyu Zhao; Yaochen Qin; Jia Yang; Yaoping Cui; Hongquan Song; Liqun Ma; Ning Jin; Qingmin Meng (Remote. Sens., 2019)

Spatiotemporal Variability of Asymmetric Daytime and Night-Time Warming and Its Effects on Vegetation in the Yellow River Basin from 1982 to 2015. - Liqun Ma; Haoming Xia; Qingmin Meng (Sensors, 2019)

Applying clinical guidelines to conformance checking for diagnosis and treatment: a case study of ischemic stroke. - Haifeng Xu; Jianfei Pang; Xi Yang; Liqun Ma; Huajian Mao; Dongsheng Zhao (BIBM, 2020)

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization. - Haitao Lin; Liqun Ma; Junnan Zhu; Lu Xiang; Yu Zhou 001; Jiajun Zhang 001; Chengqing Zong (EMNLP (1), 2021)

Empirical evaluation of multi-task learning in deep neural networks for natural language processing. - Jianquan Li; Xiaokang Liu; Wenpeng Yin 001; Min Yang 007; Liqun Ma; Yaohong Jin (Neural Comput. Appl., 2021)

Vision-Based Formation Control for an Outdoor UAV Swarm With Hierarchical Architecture. - Liqun Ma; Dongyuan Meng; Xu Huang; Shuaihe Zhao (IEEE Access, 2023)

SlimPajama-DC: Understanding Data Combinations for LLM Training. - Zhiqiang Shen; Tianhua Tao; Liqun Ma; Willie Neiswanger; Zhengzhong Liu 001; Hongyi Wang 001; Bowen Tan; Joel Hestness; Natalia Vassilieva; Daria Soboleva; Eric P. Xing (CoRR, 2023)

Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models. - Rocktim Jyoti Das; Liqun Ma; Zhiqiang Shen (CoRR, 2023)

An Ontology-Based Knowledge Representation Method for Typhoon Events from Chinese News Reports. - Danjie Chen; Yan Zheng; Liqun Ma; Fen Qin (ISPRS Int. J. Geo Inf., 2023)

Spatial-Temporal Traffic Flow Prediction With Fusion Graph Convolution Network and Enhanced Gated Recurrent Units. - Chuang Cai; Zhijian Qu; Liqun Ma; Lianfei Yu; Wenbo Liu; Chongguang Ren (IEEE Access, 2024)

FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation. - Liqun Ma; Mingjie Sun; Zhiqiang Shen (CoRR, 2024)

Bi-Mamba: Towards Accurate 1-Bit State Space Models. - Shengkun Tang; Liqun Ma; Haonan Li; Mingjie Sun; Zhiqiang Shen (CoRR, 2024)

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. - Zhengzhong Liu 001; Bowen Tan; Hongyi Wang 001; Willie Neiswanger; Tianhua Tao; Haonan Li 002; Fajri Koto; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2025)

SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning. - Renxi Wang; Honglin Mu; Liqun Ma; Lizhi Lin; Yunlong Feng; Timothy Baldwin; Xudong Han; Haonan Li 002 (CoRR, 2025)