Application of chance-constrained programming to design centering, tolerance assignment, and tuning. - Chunlin Ji; Yangyang Zhang; Yue Wang; Weiwei Xu; Ping Yuan; Zhen-chuan Zhang; Peifeng Hao (ICECS, 2003)

Optimizing Polyphase Sequences for Orthogonal Netted Radar. - Hammad A. Khan; Yangyang Zhang; Chunlin Ji; Christopher J. Stevens; David J. Edwards; Dominic C. O'Brien (IEEE Signal Process. Lett., 2006)

Particle Filter with Swarm Move for Optimization. - Chunlin Ji; Yangyang Zhang; Mengmeng Tong; Shengxiang Yang (PPSN, 2008)

A low complexity user scheduling algorithm for uplink multiuser MIMO systems. - Yangyang Zhang; Chunlin Ji; Yi Liu; Wasim Q. Malik; Dominic C. O'Brien; David J. Edwards (IEEE Trans. Wirel. Commun., 2008)

A Low-Complexity Receive-Antenna-Selection Algorithm for MIMO-OFDM Wireless Systems. - Yi Liu; Yangyang Zhang; Chunlin Ji; Wasim Q. Malik; David J. Edwards (IEEE Trans. Veh. Technol., 2009)

Receive antenna selection for MIMO systems over correlated fading channels. - Yangyang Zhang; Chunlin Ji; Wasim Q. Malik; Dominic C. O'Brien; David J. Edwards (IEEE Trans. Wirel. Commun., 2009)

Blending Sensor Scheduling Strategy with Particle Filter to Track a Smart Target. - Bin Liu; Chunlin Ji; Yangyang Zhang; Chengpeng Hao (Wirel. Sens. Netw., 2009)

Near-Optimal Joint Antenna Selection for Amplify-and-Forward Relay Networks. - Yangyang Zhang; Gan Zheng; Chunlin Ji; Kai-Kit Wong; David J. Edwards; Tiejun Cui (IEEE Trans. Wirel. Commun., 2010)

A Stochastic Optimization Approach for Joint Relay Assignment and Power Allocation in Orthogonal Amplify-and-Forward Cooperative Wireless Networks. - Gan Zheng; Yangyang Zhang; Chunlin Ji; Kai-Kit Wong (IEEE Trans. Wirel. Commun., 2011)

Cloud Based Heterogeneous Distributed Framework. - Anirban Kundu; Chunlin Ji; Ruopeng Liu (ISI, 2012)

Swarm Intelligence in Cloud Environment. - Anirban Kundu; Chunlin Ji (ICSI (1), 2012)

Swarm Behavior of Intelligent Cloud - Anirban Kundu; Chunlin Ji (CoRR, 2012)

Software-as-a-Service using Heterogeneous Distributed System for User Specific Applications. - Anirban Kundu; Chunlin Ji; Ruopeng Liu (Int. J. Cloud Appl. Comput., 2014)

Structural Analysis of Cloud Classifier. - Anirban Kundu; Guanxiong Xu; Chunlin Ji (Int. J. Cloud Appl. Comput., 2014)

Analysis on Cloud Classification using Accessibility. - Anirban Kundu; Guanxiong Xu; Chunlin Ji (Int. J. Cloud Appl. Comput., 2014)

Data Specific Ranking in Cloud. - Anirban Kundu; Guanxiong Xu; Chunlin Ji (Int. J. Cloud Appl. Comput., 2014)

Adaptive sampling for Bayesian geospatial models. - Hongxia Yang; Fei Liu 025; Chunlin Ji; David B. Dunson (Stat. Comput., 2014)

On the recognition of spontaneous emotions in spoken Chinese. - Wen Huang; Huixin Zhong; Wenfeng Wang; Chunlin Ji (SPAC, 2017)

Capacity Enhancement with Meta-Multiplexing. - Chunlin Ji; Ruopeng Liu; Daoben Li (CoRR, 2017)

TPC Together with Overlapped Time Domain Multiplexing System Based on Turbo Structure. - Hao Zheng; Mingjun Xing; Yutao Yue; Xue Li; Daoben Li; Chunlin Ji (CoRR, 2017)

On Bayesian Inference for Continuous-Time Autoregressive Models without Likelihood. - Chunlin Ji; Ligong Gary Yang; Wanchuang Zhu; Yiqi Liu; Ke Deng (FUSION, 2018)

Adaptive Extrinsic Information Scaling for Concatenated Zigzag Codes Based on Max-Log-APP. - Hao Zheng; Xingan Xu; Changwei Lv; Yuanfang Shang; Guodong Wang; Chunlin Ji (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Deep Grasping Prediction with Antipodal Loss for Dual Arm Manipulators. - Yunlong Dong; Xiangdi Liu; Bidan Huang; Chunlin Ji; Jianfeng Xu; Han Ding 001; Ye Yuan 002 (ICIRA (1), 2019)

Stochastic Variational Inference via Upper Bound. - Chunlin Ji; Haige Shen (CoRR, 2019)

Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning. - Chunlin Ji; Hanchun Shen; Zhan Xiong; Feng Chen; Meiying Zhang; Huiwen Yang (CoRR, 2021)

An improved K-means algorithm for underwater image background segmentation. - Wei Chen 077; Cenyu He; Chunlin Ji; Meiying Zhang; Siyu Chen (Multim. Tools Appl., 2021)

Single Deterministic Neural Network with Hierarchical Gaussian Mixture Model for Uncertainty Quantification. - Chunlin Ji; Dingwei Gong (PRCV (1), 2022)

Deep Kernel Regression with Finite Learnable Kernels. - Chunlin Ji; Yuhao Fu (ACML, 2023)

Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting. - Chunlin Ji; Yuhao Fu; Ping He (ACML, 2023)

Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning. - Chunlin Ji; Zhan Xiong; Meiying Zhang; Huiwen Yang; Feng Chen; Hanchun Shen (ACML, 2023)

CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection. - Meiying Zhang; Weiyuan Peng; Guangyao Ding; Chenyang Lei; Chunlin Ji; Qi Hao (IROS, 2024)

Unconstrained Model Merging for Enhanced LLM Reasoning. - Yiming Zhang; Baoyi He; Shengyu Zhang 001; Yuhao Fu; Qi Zhou; Zhijie Sang; Zijin Hong; Kejing Yang; Wenjun Wang; Jianbo Yuan; Guanghan Ning; Linyi Li; et al. (CoRR, 2024)

InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion. - Zhaoyi Yan; Zhijie Sang; Yiming Zhang; Yuhao Fu; Baoyi He; Qi Zhou; Yining Di; Chunlin Ji; Shengyu Zhang 001; Fei Wu 001; Hongxia Yang (CoRR, 2025)

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection. - Chenyang Lei; Weiyuan Peng; Guang Zhou; Meiying Zhang; Qi Hao; Chunlin Ji; Cheng-Zhong Xu 001 (IEEE Trans. Intell. Transp. Syst., 2025)