Multiple Agents from the Bottom Up: The Interaction Lab's Robot Competition Effort. - Barry Brian Werger; Miguel Schneider-Fontán; Dani Goldberg; Gregory Hornby; Maja J. Mataric; Sen Song (AAAI/IAAI, 1997)

Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability. - L. F. Abbott; Sen Song (NIPS, 1998)

Temporally asymmetric Hebbian learning and neuronal response variability. - Sen Song; L. F. Abbott (Neurocomputing, 2000)

Spike-timing-dependent plasticity: common themes and divergent vistas. - Ádám Kepecs; Mark C. W. van Rossum; Sen Song; Jesper Tegnér (Biol. Cybern., 2002)

Attentional Neural Network: Feature Selection Using Cognitive Feedback. - Qian Wang; Jiaxing Zhang; Sen Song; Zheng Zhang 003 (NIPS, 2014)

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. - Jiantao Qiu; Jie Wang 022; Song Yao; Kaiyuan Guo; Boxun Li; Erjin Zhou; Jincheng Yu; Tianqi Tang 001; Ningyi Xu; Sen Song; Yu Wang 002; Huazhong Yang (FPGA, 2016)

Hamiltonian synaptic sampling in a model for reward-gated network plasticity. - Zhaofei Yu; David Kappel; Robert Legenstein; Sen Song; Feng Chen 007; Wolfgang Maass 001 (CoRR, 2016)

Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity. - Guoqi Li; Lei Deng 003; Dong Wang; Wei Wang 016; Fei Zeng; Ziyang Zhang; Huanglong Li; Sen Song; Pei Jing; Luping Shi (Frontiers Comput. Neurosci., 2016)

EPBscore: a Novel Method for Computer-Assisted Analysis of Axonal Structure and Dynamics. - Sen Song; F. W. Grillo; J. Xi; V. Ferretti; G. Gao; Vincenzo De Paola (Neuroinformatics, 2016)

Three-phase four-switch inverter fed IPMSM initial position estimation based on HF method. - Jiadong Lu; Jinglin Liu; Yihua Hu 004; Kai Ni 003; Sen Song (ISIE, 2017)

Event Identification as a Decision Process with Non-linear Representation of Text. - Yukun Yan; Daqi Zheng; Zhengdong Lu; Sen Song (CoRR, 2017)

Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. - Fangzhou Liao; Ming Liang; Zhe Li 002; Xiaolin Hu 001; Sen Song (CoRR, 2017)

Jumper: Learning When to Make Classification Decision in Reading. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (IJCAI, 2018)

JUMPER: Learning When to Make Classification Decisions in Reading. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (CoRR, 2018)

Zooming Network. - Yukun Yan; Daqi Zheng; Zhengdong Lu; Sen Song (CoRR, 2018)

A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation. - Zhe Li 002; Pietro Mazzoni; Sen Song; Ning Qian (Neural Comput., 2018)

Dual-TRACER: High resolution fMRI with constrained evolution reconstruction. - Xuesong Li 003; Xiaodong Ma; Lyu Li; Zhe Zhang 021; Xue Zhang; Yan Tong; Lihong Wang; Sen Song; Hua Guo (NeuroImage, 2018)

Modular Tri-Port Converter for Switched Reluctance Motor based Hybrid Electrical Vehicles. - Tianhao Wu 001; Wei Li 108; Kai Ni 003; Sen Song; Mohammed Alkahtani (IEEE Access, 2019)

Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks. - Fangzhou Liao; Xi Chen; Xiaolin Hu 001; Sen Song (IEEE Trans. Cybern., 2019)

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. - Fangzhou Liao; Ming Liang; Zhe Li 002; Xiaolin Hu 001; Sen Song (IEEE Trans. Neural Networks Learn. Syst., 2019)

Unsupervised Paraphrasing by Simulated Annealing. - Xianggen Liu; Lili Mou; Fandong Meng; Hao Zhou 012; Jie Zhou 016; Sen Song (ACL, 2020)

Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching*. - Xinke Shen; Xin Hu; Shizhao Liu; Sen Song; Dan Zhang 014 (EMBC, 2020)

A Chance-Constrained Generative Framework for Sequence Optimization. - Xianggen Liu; Qiang Liu 001; Sen Song; Jian Peng 001 (ICML, 2020)

Brain-inspired global-local hybrid learning towards human-like intelligence. - Yujie Wu 002; Rong Zhao; Jun Zhu 001; Feng Chen; Mingkun Xu; Guoqi Li; Sen Song; Lei Deng 003; Guanrui Wang; Hao Zheng; Jing Pei; Youhui Zhang; et al. (CoRR, 2020)

Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity. - Xianggen Liu; Yunan Luo; Sen Song; Jian Peng 001 (CoRR, 2020)

Learn molecular representations from large-scale unlabeled molecules for drug discovery. - Pengyong Li; Jun Wang 123; Yixuan Qiao; Hao Chen; Yihuan Yu; Xiaojun Yao; Peng Gao 015; Guotong Xie; Sen Song (CoRR, 2020)

Finding decision jumps in text classification. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (Neurocomputing, 2020)

A Three-Switch-Based Single-Input Dual-Output Converter With Simultaneous Boost & Buck Voltage Conversion. - Sen Song; Guipeng Chen; Yuwei Liu; Yihua Hu 004; Kai Ni 003; Yangang Wang (IEEE Trans. Ind. Informatics, 2020)

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. - Pengyong Li; Jun Wang 123; Ziliang Li; Yixuan Qiao; Xianggen Liu; Fei Ma; Peng Gao 015; Sen Song; Guotong Xie (IJCAI, 2021)

Domain Adaptation for Cross-Subject Emotion Recognition by Subject Clustering. - Jin Liu; Xinke Shen; Sen Song; Dan Zhang 014 (NER, 2021)

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. - Hailin Hu 002; Xianggen Liu; An Xiao; Yangyang Li; Chengdong Zhang; Tao Jiang 001; Dan Zhao 004; Sen Song; Jianyang Zeng 001 (Briefings Bioinform., 2021)

TrimNet: learning molecular representation from triplet messages for biomedicine. - Pengyong Li; Yuquan Li; Chang-Yu Hsieh; Shengyu Zhang 002; Xianggen Liu; Huanxiang Liu; Sen Song; Xiaojun Yao (Briefings Bioinform., 2021)

An effective self-supervised framework for learning expressive molecular global representations to drug discovery. - Pengyong Li; Jun Wang 123; Yixuan Qiao; Hao Chen; Yihuan Yu; Xiaojun Yao; Peng Gao 015; Guotong Xie; Sen Song (Briefings Bioinform., 2021)

Simulated annealing for optimization of graphs and sequences. - Xianggen Liu; Pengyong Li; Fandong Meng; Hao Zhou 012; Huasong Zhong; Jie Zhou 016; Lili Mou; Sen Song (Neurocomputing, 2021)

Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. - Xianggen Liu; Yunan Luo; Pengyong Li; Sen Song; Jian Peng 001 (PLoS Comput. Biol., 2021)

Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences. - Wenbo Zhang; Likai Tang; Site Mo; Xianggen Liu; Sen Song (NeurIPS, 2022)

ZoomNet for Topic-Oriented Fragment Recognition in Long Documents. - Yukun Yan; Daqi Zheng; Zhengdong Lu; Sen Song (IEEE Access, 2022)

Local Hypergraph-based Nested Named Entity Recognition as Query-based Sequence Labeling. - Yukun Yan; Sen Song (CoRR, 2022)

Nested Named Entity Recognition as Building Local Hypergraphs. - Yukun Yan; Bingling Cai; Sen Song (AAAI, 2023)

Evolving Connectivity for Recurrent Spiking Neural Networks. - Guan Wang; Yuhao Sun; Sijie Cheng; Sen Song (NeurIPS, 2023)

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. - Xinke Shen; Xianggen Liu; Xin Hu; Dan Zhang 014; Sen Song (IEEE Trans. Affect. Comput., 2023)

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. - Guan Wang; Sijie Cheng; Xianyuan Zhan; Xiangang Li; Sen Song; Yang Liu 165 (ICLR, 2024)

Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents. - Jiyi Wang; Likai Tang; Huimiao Chen; Sen Song (CoRR, 2024)

UniMem: Towards a Unified View of Long-Context Large Language Models. - Junjie Fang; Likai Tang; Hongzhe Bi; Yujia Qin; Si Sun; Zhenyu Li; Haolun Li 003; Yongjian Li; Xin Cong; Yukun Yan; Xiaodong Shi; Sen Song; et al. (CoRR, 2024)

Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition. - Xinke Shen; Runmin Gan; Kaixuan Wang; Shuyi Yang; Qingzhu Zhang; Quanying Liu; Dan Zhang 014; Sen Song (CoRR, 2024)

Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience. - Xinke Shen; Lingyi Tao; Xuyang Chen; Sen Song; Quanying Liu; Dan Zhang 014 (NeuroImage, 2024)

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models. - Jialiang Wu; Yi Shen; Sijia Liu; Yi Tang; Sen Song; Xiaoyi Wang; Longjun Cai (NAACL (Findings), 2025)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG. - Yongjian Li; HaoCheng Chu; Yukun Yan; Zhenghao Liu 001; Shi Yu 001; Zheni Zeng; Ruobing Wang; Sen Song; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

Hierarchical Reasoning Model. - Guan Wang; Jin Li; Yuhao Sun; Xing Chen; Changling Liu; Yue Wu; Meng Lu; Sen Song; Yasin Abbasi-Yadkori (CoRR, 2025)