Design and experimental evaluation of context-aware link-level adaptation. - Jialin He; Hui Liu 027; Pengfei Cui; Jonathan Landon; Onur Altintas; Rama Vuyyuru; Dinesh Rajan; Joseph David Camp (INFOCOM, 2012)

ASTRA: Application of sequential training to rate adaptation. - Hui Liu 027; Jialin He; Pengfei Cui; Joseph David Camp; Dinesh Rajan (SECON, 2012)

Expected rate of slow-fading channel with partial CSIT under computational and transmit power constraints. - Jialin He; Dinesh Rajan (GLOBECOM, 2013)

Outlier detection for training-based adaptive protocols. - Hui Liu 027; Jialin He; Dinesh Rajan; Joseph David Camp (WCNC, 2013)

Leveraging diverse propagation and context for multi-modal vehicular applications. - Pengfei Cui; Hui Liu 027; Jialin He; Onur Altintas; Rama Vuyyuru; Dinesh Rajan; Joseph David Camp (WiVeC, 2013)

Transmission strategies for MIMO channels with processing and transmit power constraints. - Jialin He; Dinesh Rajan (ISIT, 2014)

FIT: On-the-fly, in-situ training with sensor data for SNR-based rate selection. - Hui Liu 027; Jialin He; Onur Altintas; Rama Vuyyuru; Joseph Camp; Dinesh Rajan (WCNC, 2015)

Geometry-based channel recognition for context-aware applications. - Jialin He; Hui Liu 027; Pengfei Cui; Jonathan Landon; Dinesh Rajan; Joseph Camp (WiOpt, 2016)

Architecture and experimental evaluation of context-aware adaptation in vehicular networks. - Hui Liu 027; Jialin He; John Wensowitch; Dinesh Rajan; Joseph Camp (EURASIP J. Wirel. Commun. Netw., 2020)

FIT: On-the-Fly, In-Situ Training for SNR-Based Rate Selection. - Hui Liu 027; Jialin He; Sabyasachi Gupta; Dinesh Rajan; Joseph Camp (IEEE Trans. Veh. Technol., 2020)

The Spatial Agglomeration and Industrial Network of Strategic Emerging Industries and Their Impact on Urban Growth in Mainland China. - Jiaming Li; Peiyuan Zhang; Jialin He; Dongqi Sun (Complex., 2021)

Some extremal results on 4-cycles. - Jialin He; Jie Ma 002; Tianchi Yang (J. Comb. Theory B, 2021)

Corrigendum to "The Spatial Agglomeration and Industrial Network of Strategic Emerging Industries and Their Impact on Urban Growth in Mainland China". - Jiaming Li; Peiyuan Zhang; Jialin He; Dongqi Sun (Complex., 2022)

Node Classification of Graph Neural Networks Based on Graph Degree-Symmetry. - Jialin He; Feng Lin; Zihao Lv (AAIA, 2023)

Research on Graph Signal Sampling and Reconstruction Method Based on Causal Emergence. - Weiping Ren; Jialin He; Dongxu Cui; Xing Fang (MLMI, 2023)

The minimum number of clique-saturating edges. - Jialin He; Fuhong Ma; Jie Ma 002; Xinyang Ye (J. Comb. Theory B, 2023)

Dynamic Pricing Algorithms for Online Set Cover. - Max Bender; Aum Desai; Jialin He; Oliver Thompson; Pramithas Upreti (CoRR, 2024)

Counting triangles in regular graphs. - Jialin He; Xinmin Hou; Jie Ma 002; Tianying Xie (J. Graph Theory, 2024)

Deep learning prediction of ribosome profiling with Translatomer reveals translational regulation and interprets disease variants. - Jialin He; Lei Xiong; Shaohui Shi; Chengyu Li; Kexuan Chen; Qianchen Fang; Jiuhong Nan; Ke Ding; Yuanhui Mao; Carles Boix; Xinyang Hu; Manolis Kellis; et al. (Nat. Mac. Intell., 2024)

Sine function similarity-based multi-attribute decision making technique of type-2 neutrosophic number sets and application to computer software quality evaluation. - Jialin He (J. Intell. Fuzzy Syst., 2024)

Implementation of JPEG XS entropy encoding and decoding on FPGA. - Shuang Tian; Qinghua Song; Jialin He; Yihan Wang; Kai Nie; Gang Du; Ling Bu (J. Real Time Image Process., 2024)

Semi-Supervised Adaptive Pseudo-Label Feature Learning for Hyperspectral Image Classification in Internet of Things. - Huayue Chen; Jie Ru; Haoyu Long; Jialin He; Tao Chen 035; Wu Deng (IEEE Internet Things J., 2024)

Integrating biological and machine intelligence: Attention mechanisms in brain-computer interfaces. - Jiyuan Wang; Weishan Ye; Jialin He; Li Zhang 041; Gan Huang; Zhuliang Yu; Zhen Liang (Inf. Fusion, 2026)