P1 nuclease defines a subpopulation of active SV40 chromatin - a new nuclease hypersensitivity assay. - Yi Chu; Taosheng Huang; Ming-Ta Hsu (Nucleic Acids Res., 1990)

A higher order statistics-based subspace method for the 2-D harmonic retrieval problem. - Yi Chu; Wen-Hsien Fang; Shun-Hsyung Chang (ICASSP, 1996)

An efficient Haar wavelet-based approach for the harmonic retrieval problem. - Yi Chu; Wen-Hsien Fang; Shun-Hsyung Chang (ICASSP, 1997)

An efficient approach for the harmonic retrieval problem via Haar wavelet transform. - Yi Chu; Wen-Hsien Fang (IEEE Signal Process. Lett., 1997)

Performance analysis of wavelet-based generalized sidelobe cancellers. - Yi Chu; Wen-Hsien Fang; Shun-Hsyung Chang (EUSIPCO, 1998)

A novel wavelet-based generalized sidelobe canceller. - Yi Chu; Wen-Hsien Fang; Shun-Hsyung Chang (ICASSP, 1998)

Robust Adaptive Array Employing Null Constraint. - Yi Chu; Wei-Yau Horng (IEICE Trans. Commun., 2006)

A Robust Broad-Band Beamformer with Spatial and Frequency Derivative Constraints. - Yi Chu (IEICE Trans. Commun., 2009)

Robust Capon Beamforming Using Pseudo-Interference Techniques. - Yi Chu (IEICE Trans. Commun., 2010)

When Did You Start Doing that Thing that You Do? Interactive Activity Recognition and Prompting. - Yi Chu; Young Chol Song; Henry A. Kautz; Richard Levinson (Artificial Intelligence and Smarter Living, 2011)

ALOHA and Q-Learning based medium access control for Wireless Sensor Networks. - Yi Chu; Paul D. Mitchell; David Grace (ISWCS, 2012)

Interactive activity recognition and prompting to assist people with cognitive disabilities. - Yi Chu; Young Chol Song; Richard Levinson; Henry A. Kautz (J. Ambient Intell. Smart Environ., 2012)

Application of reinforcement learning on medium access control for wireless sensor networks. - Yi Chu (2013)

Improving the sampling resolution of periodic signals by using controlled sampling interval method. - Yun-Chi Yeh; Yi Chu; Che Wun Chiou (Comput. Electr. Eng., 2014)

Application of reinforcement learning to medium access control for wireless sensor networks. - Yi Chu; Selahattin Kosunalp; Paul D. Mitchell; David Grace; Tim Clarke (Eng. Appl. Artif. Intell., 2015)

Use of Q-learning approaches for practical medium access control in wireless sensor networks. - Selahattin Kosunalp; Yi Chu; Paul D. Mitchell; David Grace; Tim Clarke (Eng. Appl. Artif. Intell., 2016)

Hard Neighboring Variables Based Configuration Checking in Stochastic Local Search for Weighted Partial Maximum Satisfiability. - Yi Chu; Chuan Luo 002; Wenxuan Huang; Haihang You; Dongrui Fan (ICTAI, 2017)

An Optical Frontend for a Convolutional Neural Network. - Shane Colburn; Yi Chu; Eli Shlizerman; Arka Majumdar (CoRR, 2019)

Implementation of uplink network-coded modulation for two-hop networks. - Yi Chu; Tong Peng; David Grace; Alister G. Burr (Trans. Emerg. Telecommun. Technol., 2019)

Empirical investigation of stochastic local search for maximum satisfiability. - Yi Chu; Chuan Luo 002; Shaowei Cai 001; Haihang You (Frontiers Comput. Sci., 2019)

Quadratic Planning Method for Eliminating Driving Collision and Path Tortuosity. - Bing Kuang; Maomao Sun; Fengran Chen; Yi Chu; Zhendong Li (CSAE, 2020)

Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization. - Yi Chu; Chuan Luo 002; Holger H. Hoos; Qingwei Lin; Haihang You (CoRR, 2020)

Age Estimation via Selecting Discriminated Features and Preserving Geometry. - Qing Tian; Heyang Sun; Chuang Ma; Meng Cao 005; Yi Chu (KSII Trans. Internet Inf. Syst., 2020)

An efficient local search algorithm for solving maximum edge weight clique problem in large graphs. - Yi Chu; Boxiao Liu; Shaowei Cai 001; Chuan Luo 002; Haihang You (J. Comb. Optim., 2020)

Sequence Elimination Algorithm for Multi-Server Multi-User Mobile Edge Computing Offloading. - Yi Chu; Ruixiang Li; Fang Wang; Junlong Ren; Yuanyuan Qiao 002; Jie Yang 023 (IC-NIDC, 2021)

TAX-B2BREC: Multi-Stage Cascade Downstream Company Recommender System Based on Taxation Data. - Shengmin Wang; Yi Chu; Zhenhao Qiao; Lan Ma; Hao Zhang; Zehao Wang; Yuanyuan Qiao (IC-NIDC, 2021)

Deep Learning Assisted Fixed Wireless Access Network Coverage Planning. - Yi Chu; Hamed Ahmadi; David Grace; David Burns (IEEE Access, 2021)

A light-touch routing optimization tool (RoOT) for vaccine and medical supply distribution in Mozambique. - Larissa P. G. Petroianu; Zelda B. Zabinsky; Mariam Zameer; Yi Chu; Mamiza M. Muteia; Mauricio G. C. Resende; Aida L. Coelho; Jiarui Wei; Turam Purty; Abel Draiva; Alvaro Lopes (Int. Trans. Oper. Res., 2021)

The Viability of Best-worst Scaling and Categorical Data Label Annotation Tasks in Detecting Implicit Bias. - Parker Glenn; Cassandra L. Jacobs; Marvin Thielk; Yi Chu (NLPerspectives@LREC, 2022)

Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey. - Qinting Jiang; Xuanhong Zhou; Ruili Wang; Weiping Ding 001; Yi Chu; Sizhe Tang; Xiaoyun Jia; Xiaolong Xu 001 (Appl. Soft Comput., 2022)

Joint bi-adversarial learning for unsupervised domain adaptation. - Qing Tian; Jiazhong Zhou; Yi Chu (Knowl. Based Syst., 2022)

Ordinal unsupervised multi-target domain adaptation with implicit and explicit knowledge exploitation. - Qing Tian; Heyang Sun; Yi Chu; Shun Peng (Int. J. Mach. Learn. Cybern., 2022)

Cross-dataset heterogeneous adaptation learning based facial attributes estimation. - Qing Tian; Yi Chu; Feng-Yuan Zhang; Chao Wang; Mengyu Liu (Multim. Tools Appl., 2022)

Comprehensive Evaluation of Low-Carbon City Competitiveness under the "Dual-Carbon" Target: A Cross-Sectional Comparison between Huzhou City and Neighboring Cities in China. - Shouzhen Zeng; Yi Chu; Yiling Yang; Pengkun Li; Huihong Liu (Syst., 2022)

Heterogeneous Domain Adaptation With Structure and Classification Space Alignment. - Qing Tian 001; Heyang Sun; Chuang Ma; Meng Cao 005; Yi Chu; Songcan Chen (IEEE Trans. Cybern., 2022)

NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques. - Yi Chu; Shaowei Cai 001; Chuan Luo 002 (AAAI, 2023)

Towards More Efficient Local Search for Pseudo-Boolean Optimization. - Yi Chu; Shaowei Cai 001; Chuan Luo 002; Zhendong Lei; Cong Peng 004 (CP, 2023)

TalkUp: Paving the Way for Understanding Empowering Language. - Lucille Njoo; Chan Young Park; Octavia Stappart; Marvin Thielk; Yi Chu; Yulia Tsvetkov (EMNLP (Findings), 2023)

An Analysis of Typical Scenarios and Design Suggestions for the Application of V2X Technology. - Xia Wang; Pengchun Tang; Youyu Sheng; Rong Zhang; Muchen Liu; Yi Chu; Xiaopeng Zhu; Jingyu Zhang (HCI (8), 2023)

Team Bias Busters at WASSA 2023 Empathy, Emotion and Personality Shared Task: Emotion Detection with Generative Pretrained Transformers. - Andrew Nedilko; Yi Chu (WASSA@ACL, 2023)

Deep Learning-Based Fall Detection Using WiFi Channel State Information. - Yi Chu; Kanapathippillai Cumanan; Sathish K. SankarPandi; Stephen L. Smith 002; Octavia A. Dobre (IEEE Access, 2023)

TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language. - Lucille Njoo; Chan Young Park; Octavia Stappart; Marvin Thielk; Yi Chu; Yulia Tsvetkov (CoRR, 2023)

Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization. - Yi Chu; Chuan Luo 002; Holger H. Hoos; Haihang You (Expert Syst. Appl., 2023)

Region feature smoothness assumption for weakly semi-supervised crowd counting. - Zhuangzhuang Miao; Yong Zhang 029; Xinglin Piao; Yi Chu; Baocai Yin (Comput. Animat. Virtual Worlds, 2023)

IRIS: A low duty cycle cross-layer protocol for long-range wireless sensor networks with low power budget. - Yi Chu; Paul D. Mitchell; David Grace; Jonathan Roberts 005; Dominic White; Tautvydas Mickus (Comput. Networks, 2023)

Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. - Mengran Li 001; Yong Zhang 029; Wei Zhang; Yi Chu; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2023)

Energy Saving in 6G O-RAN Using DQN-Based xApp. - Qiao Wang; Swarna Bindu Chetty; Ahmed Al-Tahmeesschi; Xuanyu Liang; Yi Chu; Hamed Ahmadi (CAMAD, 2024)

Deep Reinforcement Learning-Based Distributed Collaborative Service Caching in Edge Computing. - Wei Yang; Yi Chu; Chao Chen 004; Shengming Jiao; Xiaolong Xu 001; Shengjun Xue (CBD, 2024)

Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme. - Yi Chu; Chu-Min Li 001; Furong Ye; Shaowei Cai 001 (SAT, 2024)

Rapidly Deployable Intelligent 5G Aerial Neutral Host Networks: An O-RAN-Based Approach. - Yi Chu; David Grace; Josh Shackleton; Andy White; David Hunter; Hamed Ahmadi (IEEE Netw., 2024)

Optimizing local search-based partial MaxSAT solving via initial assignment prediction. - Chanjuan Liu; Guangyuan Liu; Chuan Luo 002; Shaowei Cai 001; Zhendong Lei; Wenjie Zhang 007; Yi Chu; Guojing Zhang (Sci. China Inf. Sci., 2025)

Improving Local Search Algorithm for Pseudo Boolean Optimization. - Yujiao Zhao; Yiyuan Wang 002; Yi Chu; Wenbo Zhou; Shaowei Cai 001; Minghao Yin (J. Artif. Intell. Res., 2025)

Link-Level Evaluation of Uplink Cell-Free MIMO in 5G NR Over Frequency-Selective Channels. - Mostafa Rahmani Ghourtani; Junbo Zhao 004; Yi Chu; Hamed Ahmadi; David Grace; Robert G. Maunder; Alister G. Burr (IEEE Open J. Commun. Soc., 2025)

Testbed Development: An Intelligent O-RAN-Based Cell-Free MIMO Network. - Yi Chu; Mostafa Rahmani; Josh Shackleton; David Grace; Kanapathippillai Cumanan; Hamed Ahmadi; Alister G. Burr (IEEE Commun. Mag., 2025)