Real-time imitation human upper-body movement with joint and self-collision constraints. - Yihong Chen; Qijun Chen (RAM, 2013)

A Distributed TDMA-Based Data Gathering Scheme for Wireless Sensor Networks. - Tao Liu; Tianrui Li 001; Yihong Chen (IEICE Trans. Inf. Syst., 2013)

Multiple-bits-slot reservation aloha protocol for tag identification. - Yihong Chen; Quanyuan Feng; Ma Zheng; Liu Tao (IEEE Trans. Consumer Electron., 2013)

Real-Time Self-Collision Avoidance for humanoid robot Based on Dynamic Task-Prior System. - Yihong Chen; Qijun Chen (Int. J. Robotics Autom., 2014)

An Efficient Anti-collision Algorithm for the EPCglobal Class-1 Generation-2 System under the Dynamic Environment. - Yihong Chen; Quanyuan Feng (KSII Trans. Internet Inf. Syst., 2014)

Jouler: A Policy Framework Enabling Effective and Flexible Smartphone Energy Management. - Anudipa Maiti; Yihong Chen; Geoffrey Challen (MobiCASE, 2015)

Learning-to-Ask: Knowledge Acquisition via 20 Questions. - Yihong Chen; Bei Chen; Xuguang Duan; Jian-Guang Lou; Yue Wang 007; Wenwu Zhu 001; Yong Cao (KDD, 2018)

Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking. - Lin Zhu; Bowen He; Mengxin Ji; Cheng Ju; Yihong Chen (RecSys Challenge, 2018)

Large-Scale Price Interval Prediction at OTA Sites. - Jinchao Huang 001; Lin Zhu; Bo Fan; Yihong Chen; Wen Jiang 001; Shenghong Li 001 (IEEE Access, 2018)

A Domain Generalization Perspective on Listwise Context Modeling. - Lin Zhu; Yihong Chen; Bowen He (AAAI, 2019)

A Hierarchical Approach for MARLÖ Challenge. - Linjie Xu; Yihong Chen (CoG, 2019)

HDI-Forest: Highest Density Interval Regression Forest. - Lin Zhu; Jiaxing Lu; Yihong Chen (IJCAI, 2019)

λOpt: Learn to Regularize Recommender Models in Finer Levels. - Yihong Chen; Bei Chen; Xiangnan He 001; Chen Gao 001; Yong Li 008; Jian-Guang Lou; Yue Wang 007 (KDD, 2019)

Session-based Sequential Skip Prediction via Recurrent Neural Networks. - Lin Zhu; Yihong Chen (CoRR, 2019)

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels. - Yihong Chen; Bei Chen; Xiangnan He 001; Chen Gao 001; Yong Li 008; Jian-Guang Lou; Yue Wang 007 (CoRR, 2019)

A Collision Avoidance Identification Algorithm for Mobile RFID Device. - Yihong Chen; Quanyuan Feng (IEEE Trans. Consumer Electron., 2019)

You Impress Me: Dialogue Generation via Mutual Persona Perception. - Qian Liu; Yihong Chen; Bei Chen; Jian-Guang Lou; Zixuan Chen; Bin Zhou; Dongmei Zhang 001 (ACL, 2020)

Memory Enhanced Global-Local Aggregation for Video Object Detection. - Yihong Chen; Yue Cao 001; Han Hu 001; Liwei Wang 001 (CVPR, 2020)

Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network. - Yiyun Chen; Yihong Chen; Jing-Hao Xue; Wenming Yang; Qingmin Liao (ICME, 2020)

RepPoints v2: Verification Meets Regression for Object Detection. - Yihong Chen; Zheng Zhang 022; Yue Cao 001; Liwei Wang 001; Stephen Lin 001; Han Hu 001 (NeurIPS, 2020)

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. - Yihong Chen; Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp (AKBC, 2021)

Exploring Support Vector Machines for Big Data Analyses. - Siyang Lu; Yihong Chen; Xiaolin Zhu; Ziyi Wang; Yangjun Ou; Yuhang Xie (CSSE, 2021)

Learnable Embedding sizes for Recommender Systems. - Siyi Liu; Chen Gao 001; Yihong Chen; Depeng Jin; Yong Li 008 (ICLR, 2021)

Modeling and analyzing RFID Generation-2 under unreliable channels. - Yihong Chen; Quanyuan Feng; Xiaolin Jia; Huayue Chen (J. Netw. Comput. Appl., 2021)

PointScatter: Point Set Representation for Tubular Structure Extraction. - Dong Wang; Zhao Zhang; Ziwei Zhao 001; Yuhang Liu; Yihong Chen; Liwei Wang 001 (ECCV (21), 2022)

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. - Ziwei Zhao 001; Dong Wang; Yihong Chen; Ziteng Wang; Liwei Wang 001 (ECCV (21), 2022)

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (NeurIPS, 2022)

A Multifault-Tolerant Training Scheme for Nonideal Memristive Neural Networks. - Yihong Chen; Zhen Fan 012; Shuai Dong; Minghui Qin; Min Zeng; Xubing Lu; Gougu Zhou; Xingsen Gao; Jun-Ming Liu (Adv. Intell. Syst., 2022)

Discrete-velocity-direction models of BGK-type with minimum entropy: I. Basic idea. - Huang Qian; Yihong Chen; Wen-An Yong (CoRR, 2022)

ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2022)

Boosting 3D Object Detection via Object-Focused Image Fusion. - Hao Yang 044; Chen Shi 001; Yihong Chen; Liwei Wang 001 (CoRR, 2022)

A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks. - Shuai Dong; Yihong Chen; Zhen Fan 012; Kaihui Chen; Minghui Qin; Min Zeng; Xubing Lu; Guofu Zhou; Xingsen Gao; Jun-Ming Liu (Neurocomputing, 2022)

Analyzing the Dynamic Spatiotemporal Changes in Urban Extension across Zhejiang Province Using NPP-VIIRS Nighttime Light Data. - Yangyang Yan; Hui Lei; Yihong Chen; Bin Zhou (Remote. Sens., 2022)

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. - Kelly Marchisio; Patrick S. H. Lewis; Yihong Chen; Mikel Artetxe (ACL (Findings), 2023)

Improving Language Plasticity via Pretraining with Active Forgetting. - Yihong Chen; Kelly Marchisio; Roberta Raileanu; David Ifeoluwa Adelani; Pontus Lars Erik Saito Stenetorp; Sebastian Riedel 001; Mikel Artetxe (NeurIPS, 2023)

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. - Jingqing Ruan; Yihong Chen; Bin Zhang 052; Zhiwei Xu 005; Tianpeng Bao; Guoqing Du; Shiwei Shi; Hangyu Mao; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Guoqing Du; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation. - Shuai Dong; Zhen Fan 012; Yihong Chen; Kaihui Chen; Minghui Qin; Min Zeng; Xubing Lu; Guofu Zhou; Xingsen Gao; Jun-Ming Liu (Neural Networks, 2023)

Discrete-Velocity-Direction Models of BGK-type with Minimum Entropy: I. Basic Idea. - Qian Huang; Yihong Chen; Wen-An Yong (J. Sci. Comput., 2023)

Mastering Robot Control through Point-based Reinforcement Learning with Pre-training. - Yihong Chen; Cong Wang; Tianpei Yang; Meng Wang 016; Yingfeng Chen; Jifei Zhou; Chaoyi Zhao; Xinfeng Zhang; Zeng Zhao; Changjie Fan; Zhipeng Hu; Rong Xiong; et al. (AAMAS, 2024)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Du Qing; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001; et al. (EMNLP (Industry Track), 2024)

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. - Wanru Zhao; Yihong Chen; Royson Lee; Xinchi Qiu; Yan Gao 016; Hongxiang Fan; Nicholas Donald Lane (ICLR, 2024)

ParametricNet++: A 6DoF Pose Estimation Network with Sparse Keypoint Recovery for Parametric Shapes in Stacked Scenarios. - Yihan Xie; Wei Jie Lv; Xin-Yu Zhang; Yihong Chen; Long Zeng 001 (IROS, 2024)

AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction. - Chunan Liu; Lilian Denzler; Yihong Chen; Andrew C. R. Martin; Brooks Paige (NeurIPS, 2024)

NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution. - Yihong Chen; Zhen Fan 012; Shuai Dong; Zhiwei Chen; Wenjie Li; Minghui Qin; Min Zeng; Xubing Lu; Guofu Zhou; Xingsen Gao; Jun-Ming Liu (CoRR, 2024)

Dissipativeness of the hyperbolic quadrature method of moments for kinetic equations. - Ruixi Zhang; Yihong Chen; Qian Huang; Wen-An Yong (CoRR, 2024)

PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. - Xinchi Qiu; William F. Shen; Yihong Chen; Nicola Cancedda; Pontus Stenetorp; Nicholas D. Lane (CoRR, 2024)

Jet Expansions of Residual Computation. - Yihong Chen; Xiangxiang Xu; Yao Lu; Pontus Stenetorp; Luca Franceschi 001 (CoRR, 2024)

Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language. - Jiayi Wang; Yao Lu; Maurice Weber; Max Ryabinin; Yihong Chen; Raphael Tang; Pontus Stenetorp (CoRR, 2024)

Combining Hyperbolic Quadrature Method of Moments and Discrete-Velocity-Direction Models for Solving BGK-type Equations. - Tianshu Li; Yihong Chen; Qian Huang (CoRR, 2024)

MedTet: An Online Motion Model for 4D Heart Reconstruction. - Yihong Chen; Jiancheng Yang; Deniz Sayin Mercadier; Hieu Le 001; Pascal Fua (CoRR, 2024)

Online Learning Resource Management System Utilization and College Students' Engagement at Zhongshan University. - Jun Guo; Yihong Chen; Tao Wang; Zhouyu Zhang (Int. J. Web Based Learn. Teach. Technol., 2024)

Online Handwritten Chinese Character Recognition Based on 1-D Convolution and Two-Streams Transformers. - Yihong Chen; Hao Zheng; Yanchun Li; Wanli Ouyang; Jiang Zhu (IEEE Trans. Multim., 2024)

High-Accuracy and Fine-Granularity Human Activity Recognition Method Based on Body RFID Skeleton. - Hao Zheng; Yihong Chen; Yanchun Li; Ziyi Wang; Jianjun Chen; Xiaolin Zhu (IEEE Trans. Consumer Electron., 2024)

Discrete-Velocity-Direction Models of BGK-Type with Minimum Entropy: II - Weighted Models. - Yihong Chen; Qian Huang; Wen-An Yong (J. Sci. Comput., 2024)

Body RFID Skeleton-Based Human Activity Recognition Using Graph Convolution Neural Network. - Ziyi Wang; Yihong Chen; Hao Zheng; Meng Liu; Ping Huang (IEEE Trans. Mob. Comput., 2024)

CWNU-RDA. - Yihong Chen; Ziyi Wang; Hao Zheng; Meng Liu (IEEE DataPort, 2024)

Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases. - Xiangyang Zhang; Zhaohui Jiang; Jiayao Ma; Yaru Qi; Yin Li; Yan Zhang; Yihan Liu; Chaochao Wei; Yihong Chen; Ping Liu; Yinghui Peng; Jun Tan; et al. (J. Big Data, 2024)

Efficient paths determining strategies in Mobile Crowd-sensing Networks with AI-based sensors forwarding data. - Jiaoyan Chen; Jin Liu 013; Zhehao Cheng; Laurence Tianruo Yang; Xianjun Deng; Yihong Chen (Comput. Commun., 2025)

Poisson Quadrature Method of Moments for 2D Kinetic Equations with Velocity of Constant Magnitude. - Yihong Chen; Qian Huang; Wen-An Yong; Ruixi Zhang (Multiscale Model. Simul., 2025)

Achieving Panoramic View Coverage in Visual Mobile Crowd-Sensing Networks for Emergency Monitoring Applications. - Jiaoyan Chen; Zhehao Cheng; Jin Liu 013; Xianjun Deng; Laurence T. Yang; Yihong Chen (ACM Trans. Sens. Networks, 2025)

LUNAR: LLM Unlearning via Neural Activation Redirection. - William F. Shen; Xinchi Qiu; Meghdad Kurmanji; Alex Iacob; Lorenzo Sani; Yihong Chen; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)

Multilingual Language Model Pretraining using Machine-translated Data. - Jiayi Wang; Yao Lu; Maurice Weber; Max Ryabinin; David Ifeoluwa Adelani; Yihong Chen; Raphael Tang; Pontus Stenetorp (CoRR, 2025)

Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and Efficiency. - Binwen Liu; Peiyu Xu; Quan Yuan; Yihong Chen (CoRR, 2025)

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation. - Tao Huang; Yihong Chen; Wei Fan; Wei Zhou; Junhao Wen (CoRR, 2025)

Joint Optimization for IRS-Assisted Self-Powered IoT in 5G mmWave Networks. - Tao Liu 027; Suiwen Zhang; Xiaomei Qu; Lijun Yang; Chengjie Li; Yihong Chen (IEEE Trans. Mob. Comput., 2025)