A Construction of Codebooks Nearly Achieving the Levenstein Bound. - Pan Tan; Zhengchun Zhou; Dan Zhang (IEEE Signal Process. Lett., 2016)

The weight distribution of a class of two-weight linear codes derived from Kloosterman sums. - Pan Tan; Zhengchun Zhou; Deng Tang; Tor Helleseth (Cryptogr. Commun., 2018)

Optimal Cyclic Locally Repairable Codes via Cyclotomic Polynomials. - Pan Tan; Zhengchun Zhou; Haode Yan; Udaya Parampalli (IEEE Commun. Lett., 2019)

Two classes of optimal LRCs with information (r, t)-locality. - Pan Tan; Zhengchun Zhou; Vladimir Sidorenko; Udaya Parampalli (Des. Codes Cryptogr., 2020)

The minimum linear locality of linear codes. - Pan Tan; Cuiling Fan; Cunsheng Ding; Zhengchun Zhou (CoRR, 2021)

Super-Scalable Molecular Dynamics Algorithm. - Jiuyang Liang; Pan Tan; Yue Zhao; Lei Li 006; Shi Jin 003; Liang Hong; Zhenli Xu (CoRR, 2021)

Cyclic LRCs with Availability from Linearized Polynomials. - Pan Tan; Zhengchun Zhou; Haode Yan; Yong Wang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

InterFace: Adjustable Angular Margin Inter-class Loss for Deep Face Recognition. - Meng Sang; Jiaxuan Chen 002; Mengzhen Li; Pan Tan; Anning Pan; Shan Zhao 008; Yang Yang 032 (CoRR, 2022)

Linear codes from support designs of ternary cyclic codes. - Pan Tan; Cuiling Fan; Sihem Mesnager; Wei Guo (Des. Codes Cryptogr., 2022)

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. - Bingxin Zhou; Outongyi Lv; Kai Yi; Xinye Xiong; Pan Tan; Liang Hong; Yu Guang Wang 001 (CoRR, 2023)

The minimum locality of linear codes. - Pan Tan; Cuiling Fan; Cunsheng Ding; Chunming Tang 001; Zhengchun Zhou (Des. Codes Cryptogr., 2023)

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. - Mingchen Li; Liqi Kang; Yi Xiong; Yu Guang Wang; Guisheng Fan; Pan Tan; Liang Hong (J. Cheminformatics, 2023)

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention. - Mingchen Li; Yang Tan 001; Xinzhu Ma; Bozitao Zhong; Huiqun Yu; Ziyi Zhou; Wanli Ouyang; Bingxin Zhou; Pan Tan; Liang Hong (NeurIPS, 2024)

COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models. - Yuchen Ren 001; Wenwei Han; Qianyuan Zhang; Yining Tang; Weiqiang Bai; Yuchen Cai; Lifeng Qiao; Hao Jiang; Dong Yuan; Tao Chen 003; Siqi Sun; Pan Tan; et al. (CoRR, 2024)

Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models. - Yang Tan 001; Mingchen Li; Bingxin Zhou; Bozitao Zhong; Lirong Zheng 005; Pan Tan; Ziyi Zhou; Huiqun Yu; Guisheng Fan; Liang Hong (J. Chem. Inf. Model., 2024)

RA-MMIR : Multi-modal image registration by Robust Adaptive Variation Attention Gauge Field. - Junhui Qiu; Hao Li 093; Hualong Cao; Xiangshuai Zhai; Xuedong Liu; Meng Sang; Kailong Yu; Yunpin Sun; Yang Yang 032; Pan Tan (Inf. Fusion, 2024)

PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications. - Yang Tan 001; Mingchen Li; Ziyi Zhou; Pan Tan; Huiqun Yu; Guisheng Fan; Liang Hong (J. Cheminformatics, 2024)