International Journals / Highlighted Conference Papers 

*Corresponding author

2025

• [AAAI25] (Updated!) Jungho Kim, Changwon Kang, Dongyoung Lee, Sehwan Choi, and Jun Won Choi*, "ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder," AAAI Conference on Artificial Intelligence,  Feb. 2025. [pdf]

• [AAAI25] (Updated!) Taein Son, Soo Won Seo, Seok Hwan Lee, Jisong Kim and Jun Won Choi*, "JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts" AAAI Conference on Artificial Intelligence,  Feb. 2025. [pdf]

2024

• [NeurIPS24] Jisong Kim, Minjae Seong, and Jun Won Choi*, "CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection," accepted to Neural Information Processing Systems (NeurIPS), Dec. 2024. [pdf]

• [NC24] Seok Hwan Lee, Taein Son, Soo Won Seo, Jisong Kim, and Jun Won Choi*, "JARViS: Detecting Actions in Video Using Unified Actor-Scene Context Relation Modeling," NeuroComputing, vol. 610, pp. 128616, Dec. 2024.  [pdf]

• [ECCV24] (Oral presentation)  Sehwan Choi, Jungho Kim, Hongjae Shin, and Jun Won Choi*, "Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks," European Conference on Computer Vision (ECCV), Sept. 2024. [pdf]

• [ECCV24] Jae Soon Baik, In Young Yoon, Kun Hoon Kim, and Jun Won Choi*, "Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels," European Conference on Computer Vision (ECCV), Setp. 2024. [pdf]

• [T-IV24] Yecheol Kim, Junho Lee, Changsoo Park, Hyoung won Kim, Inho Lim, Christopher Chang, and Jun Won Choi*, "Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection" IEEE Trans. Intelligent Vehicles. (Joint work with Kakao Mobility) early access [pdf]

• [CVPR24] Geonho Bang, Kwangjin Choi, Jisong Kim, Dongsuk Kum, and Jun Won Choi*, "RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024. [pdf]

• [ICRA24] Jisong Kim, Minjae Seong, Geonho Bang, Dongsuk Kum, and Jun Won Choi*, "RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection," IEEE International Conference on Robotics and Automation (ICRA), May 2024. [pdf]

• [ICRA24] Konyul Park, Yecheol Kim, Junho Koh, Byungwoo Park, and Jun Won Choi*, "Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection," IEEE International Conference on Robotics and Automation (ICRA), May 2024. [pdf]

• [ICRA24] Jisong Kim, Geonho Bang, Kwangjin Choi, Minjae Seong, Jaechang Yoo, Eunjong Pyo, and Jun Won Choi*, " PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network," IEEE International Conference on Robotics and Automation (ICRA), May 2024. (Joint work with HL Klemove)  [pdf]

• [HPCA24] Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi*, "SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving" IEEE International Symposium on High-Performance Computer Architecture (HPCA), March 2024. (accept ratio: 18.29%)

• [PR24] Jae Soon Baik, In Young Yoon, and Jun Won Choi*, "DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-tailed Visual Recognition," Pattern Recognition, vol. 147, March 2024. [pdf]

• Yecheol Kim, Konyul Park, Minwook Kim, Dongsuk Kum, and Jun Won Choi* "3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection," arXiv:2211.13529. [pdf]

• Kyoung Ok Yang, Junho Koh, and Jun Won Choi*, "Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition," arXiv:2309.05032, submitted to Pattern Recognition. [pdf]  

2023

• [NeurIPS23] Jong Wook Bae, Jungho Kim, Junyong Yun, Changwon Kang, Jeongseon Choi, Chanhyeok Kim, Junho Lee, Jungwook Choi, and Jun Won Choi*, "SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots," Neural Information Processing Systems (NeurIPS) Dataset and Benchmarks Track 2023. [Dataset]

• [ICCV23] Sehwan Choi, Jungho Kim, Junyong Yun, and Jun Won Choi*, "R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement," International Conference on Computer Vision (ICCV) 2023. [pdf] 

• [ICCV23] Youngseok Kim, Juyeb Shin, Sanmin Kim, In-Jae Lee, Jun Won Choi, and Dongsuk Kum*, "CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception," International Conference on Computer Vision (ICCV) 2023. [pdf]

• [AAAI23] Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, and Jun Won Choi*, "MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection," AAAI Conference on Artificial Intelligence 2023, 37(1), 1179-1187. [pdf] (code available: https://github.com/HYjhkoh/MGTANet.git)

• [AAAI23] Youngseok Kim, Sanmin Kim, Jun Won Choi, and Dongsuk Kum*, "CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer," AAAI Conference on Artificial Intelligence 2023, 37(1), 1160-1168. [pdf] 

• [ICRA23] Junhyung Lee, Junho Koh, Youngwoo Lee, and Jun Won Choi*, "D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence," IEEE International Conference on Robotics and Automation (ICRA), London, UK, 2023, pp. 9238-9244. [pdf] (code available: https://github.com/junhyung-SPALab/D-Align)

• [TWC23] Hyunwoo Park, Jeongwan Kang, Sangwoo Lee, Jun Won Choi, and Sun Woo Kim*, "Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications," IEEE Trans. Wireless Communications, vol. 22, no. 2, pp. 961-971, Feb. 2023. [pdf]

• [RAL23] Sanmin Kim, Hyeongseok Jeon, Junwon Choi, and Dongsuk Kum*, "Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss," IEEE Robotics and Automation Letters," vol. 8, no. 4, pp. 2038-2045, April. 2023.

• [T-ITS23] Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, and Dongsuk Kum*, "Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision," IEEE Trans. Intelligent Transportation Systems, vol. 24, no. 2, pp. 1801-1813, Feb. 2023. [pdf]

• [T-ITS23] Hyeongseok Jeon, Sanmin Kim, Kibeom Lee, Daejun Kang, Jun Won Choi, and Dongsuk Kum*, "Are Reactions to Ego Vehicles Predictable Without Data?: A Semi-Supervised Approach," IEEE Trans. Intelligent Transportation Systems, vol. 24, no. 6, pp. 6477-6490, June 2023.

2022

• [AAAI22] Junho Koh, Jaekyum Kim, Jinhyuk Yoo, Yecheol Kim, Dongsuk Kum, and Jun Won Choi*, "Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds," AAAI Conference on Artificial Intelligence, 36(1), 1210-1218. [pdf]

• [ACCV22] Jae Soon Baik, In Young Yoon, and Jun Won Choi*, "ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-ensemble for Active Learning," Asian Conference on Computer Vision (ACCV) 2022, pp. 3274-3290. [pdf]

• Jun Ho Lee, Jae Soon Baik, Tae Hwan Hwang, and Jun Won Choi*, "Learning from data with noisy labels using temporal self-ensemble," arXiv:2207.10354. [pdf]

• 배종욱, 이영우, 고준호, 이재영, 최준원, "카메라-라이다 센서 융합을 위한 캘리브레이션 기법 소개," 한국자동차공학회 논문집 제30권 제10호

2021

• [CVPR21] ByeoungDo Kim, Seong Hyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, and Jun Won Choi*, “LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021, Nashville, TN, USA, 2021, pp. 14631-14640. (code available: https://github.com/bdokim/LaPred) [pdf] 

• [ICRA21] Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang, and Jun Won Choi*, "Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection," IEEE International Conference on Robotics and Automation (ICRA) 2021, pp. 13370-13376. [pdf] 

• [JG21] Younji Shin, Hyunsoo Cho, Hyo Chan Jeong, Mincheol Seong, and Jun-Won Choi*, Won June Lee*, "Deep Learning-based Diagnosis of Glaucoma Using Wide-field Optical Coherence Tomography Images," Journal of Glaucoma, vol. 30(9), pp. 803-812, Sep 2021. [pdf]

• [T-COM21] Sun Hong Lim, Sunwoo Kim, Byonghyo Shim, and Jun Won Choi*, "Deep Learning-Based Beam Tracking for Millimeter-Wave Communications Under Mobility," IEEE Trans. on Communications, vol. 69, no. 11, pp. 7458-7469, Nov. 2021. [pdf]

• [ACCESS21] Jangho Kwon, Jihyeon Ha, Da-Hye Kim, Jun Won Choi, and Laehyun Kim*, "Emotion Recognition Using a Glasses-Type Wearable Device via Multi-Channel Facial Responses," IEEE Access, vol. 9, pp. 146392-146403, Oct. 2021. [pdf]

2020

• [ECCV20] Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, and Jun Won Choi*, "3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection,"  European Conference on Computer Vision (ECCV) 2020, pp. 720-736. (4th ranked in KITTI 3D & BEV detection benchmark as of 2020 March, code available: https://github.com/rasd3/3D-CVF). [pdf] 

• [T-SP20] Jin Hyeok Yoo, Sun Hong Lim, Byonghyo Shim, and Jun Won Choi*, "Estimation of Dynamically Varying Support of Sparse Signals via Sequential Monte-Carlo Method," IEEE Trans. Signal Processing, vol. 68, pp. 4135-4147, July 2020. [pdf]

• [T-COM20] Sun Hong Lim, Sunwoo Kim, Byonghyo Shim, and Jun Won Choi*, "Efficient Beam Training and Sparse Channel Estimation for Millimeter Wave Communications Under Mobility," IEEE Trans. Communications, vol. 68, no. 10, pp. 6583 - 6596, Oct. 2020. [pdf]

• [IROS20] Hyeongseok Jeon, Jun Won Choi, and Dongsuk Kum*, "SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020, pp. 2095-2102. [pdf]

• [IROS20] Youngseok Kim, Jun Won Choi, and Dongsuk Kum*, "GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020, pp. 10857-10864. [pdf]

• [T-WC20] Seungnyun Kim, Jun Won Choi, and Byonghyo Shim*, "Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems," IEEE Trans. Wireless Communications, vol. 19, no. 6, pp 3658-3672, June 2020. [pdf]

• [ITSC20] Sanmin Kim, Dongsuk Kum*, and Jun Won Choi, "RECUP Net: RECUrsive Prediction Network for Surrounding Vehicle Trajectory Prediction with Future Trajectory Feedback," IEEE International Conference on Intelligent Transportation Systems (ITSC) 2020, pp. 1-6. [pdf]

• [ICPR20] Jaekyum Kim, Junho Koh, and Jun Won Choi*, "Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation," International Conference on Pattern Recognition (ICPR) 2020, pp. 1604-1610. [pdf] 

• [ICPR20] Jin Hyeok Yoo, Dongsuk Kum, and Jun Won Choi*, "ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection," International Conference on Pattern Recognition (ICPR) 2020, pp. 4505-4512. [pdf]

2019

• [IV19] Yecheol Kim, Jaekyum Kim, Junho Koh, and Jun Won Choi*, "Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point Data," IEEE Intelligent Vehicles Symposium (IV) 2019, pp. 2516-2521. [pdf]

• [ITSC19] Junho Lee and Jun Won Choi*, "May I Cut Into Your Lane?: A Policy Network to Learn Interactive Lane Change Behavior for Autonomous Driving," IEEE Intelligent Transportation Systems Conference (ITSC) 2019, pp. 4342-4347. [pdf]

• [T-ITS19] Seung-Hyun Kong, Yisheng Lv, Hai L. Vu, Juan-Carlos Cano, Jun-Won Choi, Dongsuk Kum, and Brendan Tran Morris, "Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies," IEEE Trans. Intelligent Transportation Systems, vol. 20, no. 10, pp. 3765-3770, Oct. 2019.

• [WCOML19] Syed Ali Irtaza, Sun Hong Lim, Jun Won Choi*, "Greedy Data-Aided Active User Detection for Massive Machine Type Communications," IEEE Wireless Communications Letter, vol 8, no. 4, pp. 1224-1227, Aug. 2019. [pdf]

2018

• [ACCV18] Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, and Jun Won Choi*, "Robust Deep Multi-modal Learning Based on Gated Information Fusion Network," Asian Conference on Computer Vision (ACCV) 2018, pp 90-106. [pdf]

• [IV18] Seong Hyeon Park, ByeongDo Kim, Chang Mook Kang, Chung Choo Chung, and Won Choi*, "Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture," IEEE Intelligent Vehicles Symposium (IV), Changshu, China, 2018, pp. 1672-1678. (among 5% selected as single track oral presentation) [pdf]

• [IV18] Jaekyum Kim, Jaehyung Choi, Yechol Kim, Junho Koh, Chung Choo Chung, and Jun Won Choi*, "Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network," IEEE Intelligent Vehicles Symposium (IV), Changshu, China, 2018, pp. 1620-1625. (among  5% selected as single track oral presentation). [pdf]

2017

• [ITSC17] ByeoungDo Kim, Chang Mook Kang, Seung Hi Lee, Hyunmin Chae, Jaekyum Kim, Chung Choo Chung, and Jun Won Choi*, "Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network," IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, 2017, pp. 399-404. [pdf]

• [ITSC17] Hyunmin Chae, Chang Mook Kang, ByeoungDo Kim, Jaekyum Kim, Chung Choo Chung, and Jun Won Choi*, "Autonomous Braking System via Deep Reinforcement Learning," IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, 2017, pp. 1-6. [pdf]

• [COMST17] Jun Won Choi, Byonghyo Shim*, Yacong Ding, Bhaskar Rao, and Dong In Kim, "Compressed Sensing for Wireless Communications: Useful Tips and Tricks," IEEE Communications Surveys & Tutorials, vol. 19, no. 3, pp. 1527-1550, Thirdquarter 2017. [pdf]

• [T-COM17] Sunho Park, Jun Won Choi*, Ji-Yun Seol, and Byonghyo Shim, "Expectation-Maximization-Based Channel Estimation for Multiuser MIMO Systems,"  IEEE Trans. Communications, vol. 65, no. 6, pp. 2397-2410, June 2017. [pdf]

• [T-SP17] Jun Won Choi and Byonghyo Shim*, "Detection of Large-Scale Wireless Systems via Sparse Error Recovery," IEEE Trans. Signal Processing, vol. 65, no. 22, pp. 6038-6052, Nov. 2017. [pdf]

• [CSS17] Ikjoon Chang, Sang Yoon Park and Jun Won Choi*, "Design of Low-Power Voltage Scalable Arithmetic Units with Perfect Timing Error Cancelation," Circuits Syst Signal Process 36, 4309–4325 (2017). [pdf]

• [T-COM17] Seok-Ho Chang, Hee-Gul Park, Jun Won Choi, and Jihwan P. Choi*, "Scalable Source Transmission With Unequal Frequency Reuse in MIMO Cellular Networks," IEEE Trans. Communications, vol. 65, no. 10, pp. 4188-4204, Oct. 2017. [pdf]

• [ENTROPY17]  Jung Hwan Lee, Jaekyum Kim, Byeoungdo Kim, Dongweon Yoon and Jun Won Choi*, "Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network," Entropy, 19(9), 2017. [pdf]

• [COML17] Suhanya Jayaprakasam, Xiaoxue Ma, Jun Won Choi, and Sunwoo Kim*, "Robust Beam-Tracking for mmWave Mobile Communications," IEEE Communications Letter, vol. 21, no. 12, pp. 2654-2657, Dec. 2017. [pdf]

2016

• [JCN16] Jaeseok Lee, Jun Won Choi, and Byonghyo Shim*, "Sparse signal recovery via tree search matching pursuit," Journal of Communication and Networks, vol. 18, no. 5, pp. 699-712, Nov. 2016.  [pdf]

• [MOBICOM16] Soonwon Ka, Tae-Hyun Kim, Jae Yeol Ha, Sun Hong Lim, Su Cheol Shin, Jun Won Choi, Chulyoung Kwak, and Sunghyun Choi*, "Near-ultrasound communication for TV's 2nd screen services," 22nd Annual International Conference on Mobile Computing and Networking (MobiCom '16). Association for Computing Machinery, New York, NY, USA, 42–54. (Accept ratio = 14.16% = 32/226) [pdf]

• [ICTC16] Byeoungdo Kim, Jaekyum Kim, Hyunmin Chae, Dongweon Yoon, and Jun Won Choi*, "Deep neural network-based automatic modulation classification technique," International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea (South), 2016, pp. 579-582.

2015

• [T-SP15] Jun Won Choi and Byonghyo Shim*, "Statistical Recovery of Simultaneously Sparse Time-Varying Signals From Multiple Measurement Vectors," IEEE Trans. Signal Processing, vol. 63, no. 22, pp. 6136-6148, Nov. 2015. [pdf] 

• [JCN15] Jun Won Choi, Byungju Lee, and Byonghyo Shim*, "Iterative group detection and decoding for large MIMO systems", Journal of Communications and Networks, vol. 17, no. 6, pp. 609-621, Dec. 2015. [pdf]

• [T-SP15] Sunho Park, Byonghyo Shim, and Jun Won Choi*, "Iterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systems," IEEE Trans. Signal Processing, vol 63, no. 12, pp. 3032-3045, June 2015. [pdf]

• [COML15] Jun Won Choi, Byonghyo Shim, and Seok-Ho Chang*, "Downlink Pilot Reduction for Massive MIMO Systems via Compressed Sensing," IEEE Communications Letter, vol. 19, no. 11, pp. 1889-1892, Nov. 2015. [pdf]

• [INFOCOM15] Hyewon Lee, Tae Hyun Kim, Jun Won Choi, and Sunghyun Choi*, "Chirp signal-based aerial acoustic communication for smart devices," IEEE Conference on Computer Communications (INFOCOM), Hong Kong, China, 2015, pp. 2407-2415. (Acceptance ratio 19%  = 316/1640) [pdf]

Prior to 2015

• [COML14] Kyeongyeon Kim*, Jun Won Choi, Suleyman S. Kozat, and Andrew C. Singer, "Low Complexity Turbo-Equalization: A Clustering Approach," IEEE Communication Letters, vol. 18, pp. 1063-1066, June 2014. [pdf]

• [T-IT12] Jun Won Choi*, Byonghyo Shim, and Andrew C. Singer, "Efficient Soft-Input Soft-Output Tree Detection via an Improved Path Metric," IEEE Trans Information Theory, vol. 58, pp. 1518-1533, March 2012. [pdf]

• [TWC12] Byonghyo Shim, Jun Won Choi, and Insung Kang, "Towards the Performance of ML and the Complexity of MMSE: A Hybrid Approach for Multiuser Detection," IEEE Trans Wireless Communications, vol. 11, pp. 2508-2519, July 2012.

• [JSTSP11] Hong Wan, Rong-Rong Chen, Jun Won Choi, Andrew C. Singer, James C. Preisig, and Behrouz Farhang-Boroujeny, "Markov Chain Monte Carlo Detection for Frequency-Selective Channels Using List Channel Estimates," IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 8, pp. 1537-1547, Dec. 2011.

• [JOE11] Jun Won Choi, Thomas J. Riedl, Kyeongyeon Kim, Andrew C. Singer, and James C. Preisig, "Adaptive Linear Turbo Equalization Over Doubly Selective Channels," IEEE Journal of Oceanic Engineering, vol. 36, pp. 473-489, Oct. 2011.

• [T-SP10] Jun Won Choi, Byonghyo Shim, Andrew C. Singer, and Nam Ik Cho, "Low-Complexity Decoding via Reduced Dimension Maximum-Likelihood Search," IEEE Trans Signal Processing, vol. 58, pp. 1780-1794, March 2010.

• [T-COM10] Jun Won Choi, Andrew C. Singer, Jungwoo Lee, and Nam Ik Cho, "Improved linear soft-input soft-output detection via soft feedback successive interference cancellation," IEEE Trans. Communications., vol. 58, pp. 986-996, March 2010.

• [T-SP07] Jun Won Choi, Byonghyo Shim, Andrew C. Singer, and Nam Ik Cho, "Low-Power Filtering Via Minimum Power Soft Error Cancellation," IEEE Trans. Signal Processing, vol. 55, pp. 5084-5096, Oct. 2007.

• [SP02] Jun Won Choi and Nam Ik Cho, "Suppression of narrow-band interference in DS-spread spectrum systems using adaptive IIR notch filter," Signal Processing, vol 82, pp. 2003-2013, Dec. 2002.

International Conferences

• S. Kim, J. W. Choi, and B. Shim, "Path selection based feedback reduction for FDD massive MIMO systems" WCNC 2019.

• S. Kim, J. W. Choi, and B. Shim, "Feedback reduction for beyond 5G cellular systems," ICC 2019.

• S. H. Lim, J. H. Lim, S. Kim, and J. W. Choi, "Greedy recovery of sparse signals with dynamically varying support," EUSIPCO 2018, Sept. 2018. 

• J. Bae, S. H. Lim, J. H. Yoo, B. Shim, and J. W. Choi, "Dedicated beam-based channel training technique for millimeter-wave communications with high mobility", EUSIPCO 2018, Sept. 2018. 

• J. Bae, S. H. Lim, J. H. Yoo, and J. W. Choi, "New beam tracking technique for millimeter wave communications," arXiv. [pdf]

• H. Ji, J. W. Choi, and B. Shim, "Channel sparsification beamforming for Internet of Things systems", accepted for ICC 2017.  

• J. Yoo, J. Bae, S. Lim, S. Kim, B. Shim, and J. W. Choi, "Sampling-based tracking of time varying channels for millimeter wave-band communications," accepted for ICC 2017.

• B. Kim, J. Kim. H. Chae, D. Yoon, and J. W. Choi, "Deep neural network-based automatic modulation classification technique," ICTC 2016.

• J. Yoo, A. I. Syed, B. Shim, and J. W. Choi, "Kalman-based time-varying sparse channel estimation," ICCS 2016.

• S. Park, J. W. Choi, J. Seol, and B. Shim, "Virtual pilot-based channel estimation and multiuser detection for multiuser MIMO in LTE-Advanced," VTC 2016-fall, Montreal Canada.

• S. Ka, T. H. Kim, J. Y. Ha, S. H. Lim, S. C. Shin, J. W. Choi, C. Kwak, and S. Choi, "Near-ultrasound communication model design for TV's 2nd screen services," accepted for Mobicom 2016 (Accept ratio = 14.16% = 32/226)

• J. W. Choi and B. Shim, "Compressed sensing-based pilot reduction technique for massive MIMO systems," Information Theory and Appliation (ITA), Feb 2015.

• H. Lee,  T. H. Kim, J. W. Choi, and S. Choi, "Chirp signal-based aerial acoustic communication for smart devices," accepted for INFOCOM 2015, Hong Kong (Acceptance ratio - 19%  = 316/1640)

• J. W. Choi and B. Shim, "New approach for massive MIMO detection via sparse error recovery," IEEE Proc. Globecom pp. 3754-3759, Dec. 2014.

• J. W. Choi, B. Lee, B. Shim, and I. Kang, "Low complexity soft-input soft-output group detection for massive MIMO systems," Proc. of IEEE international conference on communications (ICC) 2013.

• J. W. Choi, B. Lee, I. Kang, and B. Shim, "Low complexity detection and precoding for massive MIMO systems," Proc. of IEEE wireless communications and networking conference (WCNC) 2013.

• J. W. Choi, B. Shim, and A. C. Singer, "Linear estimate-based look-ahead path metric for efficient soft-input soft-output tree detection," Information Theory Proceedings (ISIT), 2010, pp. 804-808.

• J. W. Choi, B. Shim, and A. C. Singer, “On the improved path metric for soft-input soft-output tree detection," Information Theory and Application Workshop (ITA), 2010, pp. 1-5. (Nominated as one of three excellent candidates seeking academic positions in UIUC)

• H. Wan, R. Chen, J. W. Choi, A. C. Singer, J. C. Preisig, and B. Farhang-Boroujeny, “Stochastic expectation maximization algorithm for long-memory fast-fading channels,” Global Telecommunications Conference (Globecom), 2010, pp. 1-5.

• J. W. Choi, T. Riedl, E. Daly, K. Kim, A. C. Singer, and J. Preisig, “Adaptive linear turbo equalization of large delay spread time-varying channel responses,” Sensor Array and Multichannel Signal Processing Workshop (SAM), 2010, pp. 77-80.

• A. C. Singer, A. J. Bean, and J. W. Choi, “Mutual information and time interleaved analog to digital converters,” IEEE Workshop on Information Theory and its Application (ITA), Jan. 2010, pp. 1-5.

• T. Riedl, A. C. Singer, and J. W. Choi, “Learning in Gaussian Markov random fields,” Acoustics Speech and Signal Processing (ICASSP), 2010, pp. 3070-3073.

• K. Kim, J. W. Choi, A. C. Singer, K. Kim, “A new adaptive turbo equalizer with soft information classification,” Acoustics Speech and Signal Processing (ICASSP), 2010, pp. 3206-3209.

• H. Wan, R. Chen, J. W. Choi, A. C. Singer, J. Preisig, and B. Farhang-Boroujeny, “Markov chain Monte Carlo detection for underwater acoustic channels,” Information Theory and Application Workshop (ITA), 2010, pp. 1-5.

• J. W. Choi, B. Shim, J. K. Nelson, and A. C. Singer, “Efficient soft-input soft-output MIMO detector via improved M-algorithm,” IEEE International Conference on Communications (ICC), 2010, pp. 1-5.

• J. W. Choi, T. J. Riedl, K. Kim, A. C. Singer, and J. C. Preisig, “Practical application of turbo equalization to underwater acoustic communications,” Wireless Communication Systems (ISWCS), 2010, pp. 601-605. ICASSP 2010.

• T. Riedl, J. W. Choi, and A. C. Singer, “Channel estimation by inference on Gaussian Markov random fields,” Signals, Systems and Computers Asilomar Conference, Nov. 2009, pp. 1007-1011.

• J. W. Choi, B. Shim, and A. C. Singer, “Near-ML detection over a reduced dimension hypersphere,” Global Telecommunications Conference (Globecom) Dec. 2009, pp. 1-6.

• T. J. Riedl, J. W. Choi, and A. C. Singer, “Channel estimation by inference on Gaussian Markov random fields,” Signals, Systems and Computers Asilomar Conference, Nov. 2009, pp. 620-624.

• J. W. Choi, K. Kim, T. J. Riedl, and A. C. Singer, “Iterative estimation of sparse and doubly-selective multi-input multi-output (MIMO) channel,” Signals, Systems and Computers Asilomar Conference, Nov. 2009, pp. 620-624.

• B. Shim, J. W. Choi, I. Kang, “Towards the performance of ML and the complexity of MMSE - A Hybrid approach,” Global Telecommunications Conference (Globecom), Nov. 2008, pp. 1-5.

• J. W. Choi, R. J. Drost, A. C. Singer, and J. C. Preisig, “Iterative multi-channel equalization and decoding for high frequency underwater acoustic communications,” IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), July 2008, pp. 127-130.

• J. W. Choi, B. Shim, A. C. Singer, and N. I. Cho, “A low-complexity near-ML decoding technique via reduced dimension list stack algorithm (RD-LSA),” IEEE Sensor Array and Multi-channel Signal Processing Workshop (SAM) 2008, July 2008, pp. 41-44.

• J. W. Choi, A. C. Singer, J. W. Lee, and N. I. Cho, “An improved soft feedback V-BLAST detection technique for TURBO-MIMO systems,” IEEE International Conference on Acoustics, Speech and Signal Processing Conference (ICASSP), March 2008, pp. 3181-3184.

• J. W. Choi, A. C. Singer, and N. I. Cho, “Low-power adaptive FIR equalizer via soft error cancellation,” IEEE International Conference on Acoustics, Speech and Signal Processing Conference (ICASSP), May 2006, pp. 14-19.

• J. W. Choi, B. Shim, A. C. Singer, N. I. Cho, “Energy-efficient digital filtering using ML-based error correction (ML-EC) technique,” IEEE International Conference on Acoustics, Speech and Signal Processing Conference (ICASSP), Mar. 2005, pp. 18-23.

• J. W. Choi and N. I. Cho, “Narrow-band interference suppression in direct sequence spread spectrum systems using a lattice IIR notch filter,” IEEE International Conference on Acoustics, Speech and Signal Processing Conference (ICASSP), May 2001, pp. 2237-2240.