Context-driven online learning for activity classification in wireless health. - Jie Xu 001; James Y. Xu; Linqi Song; Gregory J. Pottie; Mihaela van der Schaar (GLOBECOM, 2014)

Clustering based online learning in recommender systems: A bandit approach. - Linqi Song; Cem Tekin; Mihaela van der Schaar (ICASSP, 2014)

Non-stationary demand side management method for smart grids. - Linqi Song; Yuanzhang Xiao; Mihaela van der Schaar (ICASSP, 2014)

Demand Side Management in Smart Grids Using a Repeated Game Framework. - Linqi Song; Yuanzhang Xiao; Mihaela van der Schaar (IEEE J. Sel. Areas Commun., 2014)

Content-type coding. - Linqi Song; Christina Fragouli (NetCod, 2015)

Stream-based Online Active Learning in a Contextual Multi-Armed Bandit Framework. - Linqi Song (CoRR, 2016)

A Deterministic Algorithm for Pliable Index Coding. - Linqi Song; Christina Fragouli (CoRR, 2016)

Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors. - Jie Xu 001; Linqi Song; James Y. Xu; Gregory J. Pottie; Mihaela van der Schaar (IEEE J. Sel. Top. Signal Process., 2016)

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. - Linqi Song; William Hsu; Jie Xu 001; Mihaela van der Schaar (IEEE J. Biomed. Health Informatics, 2016)

Online Learning in Large-Scale Contextual Recommender Systems. - Linqi Song; Cem Tekin; Mihaela van der Schaar (IEEE Trans. Serv. Comput., 2016)

Private Broadcasting: An index coding approach. - Mohammed Karmoose; Linqi Song; Martina Cardone; Christina Fragouli (ISIT, 2017)

Preserving privacy while broadcasting: K-limited-access schemes. - Mohammed Karmoose; Linqi Song; Martina Cardone; Christina Fragouli (ITW, 2017)

The benefit of being flexible in distributed computation. - Linqi Song; Sundara Rajan Srinivasavaradhan; Christina Fragouli (ITW, 2017)

A Contextual Bandit Approach for Stream-Based Active Learning. - Linqi Song; Jie Xu 001 (CoRR, 2017)

A Pliable Index Coding Approach to Data Shuffling. - Linqi Song; Christina Fragouli (CoRR, 2017)

Content-Type Coding. - Linqi Song (2017)

Data Encoding for Byzantine-Resilient Distributed Gradient Descent. - Deepesh Data; Linqi Song; Suhas N. Diggavi (Allerton, 2018)

Privacy in Index Coding: Improved Bounds and Coding Schemes. - Mohammed Karmoose; Linqi Song; Martina Cardone; Christina Fragouli (ISIT, 2018)

Distributed Computing Trade-offs with Random Connectivity. - Sundara Rajan Srinivasavaradhan; Linqi Song; Christina Fragouli (ISIT, 2018)

A Binary Randomized Coding Scheme for Pliable Index Coding with Multiple Requests. - Linqi Song (ISTC, 2018)

Dynamic Edge Caching with Popularity Drifting. - Linqi Song; Jie Xu 001 (ITW, 2018)

Recommender Systems over Wireless: Challenges and Opportunities. - Linqi Song; Christina Fragouli; Devavrat Shah (ITW, 2018)

Regret vs. Bandwidth Trade-off for Recommendation Systems. - Linqi Song; Christina Fragouli; Devavrat Shah (CoRR, 2018)

A Polynomial-Time Algorithm for Pliable Index Coding. - Linqi Song; Christina Fragouli (IEEE Trans. Inf. Theory, 2018)

Making Recommendations Bandwidth Aware. - Linqi Song; Christina Fragouli (IEEE Trans. Inf. Theory, 2018)

Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints. - Haoyue Tang; Jintao Wang 001; Linqi Song; Jian Song 004 (Allerton, 2019)

Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. - Yang Bai 010; Lixing Chen; Linqi Song; Jie Xu 001 (MTD@CCS, 2019)

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. - Chengshuai Shi; Lixing Chen; Cong Shen 001; Linqi Song; Jie Xu 001 (GLOBECOM, 2019)

Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users. - Letian Zhang; Linqi Song; Jie Xu 001 (GLOBECOM, 2019)

Data Encoding Methods for Byzantine-Resilient Distributed Optimization. - Deepesh Data; Linqi Song; Suhas N. Diggavi (ISIT, 2019)

Interactions Between Learning and Broadcasting in Wireless Recommendation Systems. - Linqi Song; Christina Fragouli; Devavrat Shah (ISIT, 2019)

Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing. - Tan Li 002; Yuanzhang Xiao; Linqi Song (SmartGridComm, 2019)

Equivariant neural networks and equivarification. - Erkao Bao; Linqi Song (CoRR, 2019)

The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost. - Mengwei Yang; Linqi Song; Jie Xu 001; Congduan Li; Guozhen Tan (CoRR, 2019)

Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks. - Haoyue Tang; Jintao Wang 001; Linqi Song; Jian Song 004 (CoRR, 2019)

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter. - Kun Xu 005; Haochen Tan; Linfeng Song; Han Wu 004; Haisong Zhang; Linqi Song; Dong Yu 001 (EMNLP (1), 2020)

On Secrecy Key of a class of Secure Asymmetric Multilevel Diversity Coding System. - Congduan Li; Jingliang He; Shiqiu Liu; Dongliang Guo; Linqi Song (ISIT, 2020)

Federated Recommendation System via Differential Privacy. - Tan Li 002; Linqi Song; Christina Fragouli (ISIT, 2020)

Enhancing Deep Multimedia Recommendations Using Graph Embeddings. - Weijing Chen; Weigang Chen; Linqi Song (MIPR, 2020)

Coded Caching with Heterogeneous User Groups. - Jingliang He; Congduan Li; Linqi Song (WCNC Workshops, 2020)

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities. - Tan Li 002; Congduan Li; Jingjing Luo; Linqi Song (Intell. Converged Networks, 2020)

Minimizing Age of Information With Power Constraints: Multi-User Opportunistic Scheduling in Multi-State Time-Varying Channels. - Haoyue Tang; Jintao Wang 001; Linqi Song; Jian Song 004 (IEEE J. Sel. Areas Commun., 2020)

Privacy in Index Coding: $k$ -Limited-Access Schemes. - Mohammed Karmoose; Linqi Song; Martina Cardone; Christina Fragouli (IEEE Trans. Inf. Theory, 2020)

A Pliable Index Coding Approach to Data Shuffling. - Linqi Song; Christina Fragouli; Tianchu Zhao (IEEE Trans. Inf. Theory, 2020)

Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache. - Lixing Chen; Linqi Song; Jacob Chakareski; Jie Xu 001 (IEEE Trans. Multim., 2020)

Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game. - Yang Bai 010; Lixing Chen; Linqi Song; Jie Xu 001 (IEEE Trans. Netw. Serv. Manag., 2020)

Domain-Adaptive Pretraining Methods for Dialogue Understanding. - Han Wu 004; Kun Xu 005; Linfeng Song; Lifeng Jin; Haisong Zhang; Linqi Song (ACL/IJCNLP (2), 2021)

CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling. - Han Wu 004; Kun Xu 005; Linqi Song (EMNLP (1), 2021)

On Coded Broadcasting for Wireless Recommendation Systems. - Rasmus Vestergaard; Osama A. Hanna; Linqi Song; Daniel E. Lucani; Christina Fragouli (ICC, 2021)

Racial Bias During "Black Lives Matter": How Social Movement Reshapes Airbnb Host Performance. - Tong Xu; Angela Lu; Abhay Mishra; Linqi Song; Zengyan Liu (ICIS, 2021)

K-CSRL: Knowledge Enhanced Conversational Semantic Role Labeling. - Boyu He; Han Wu 004; Congduan Li; Linqi Song; Weigang Chen (ICMLC, 2021)

Predicting Downside in Stock Market Using Knowledge and News Data. - Xinlin Li; Shuqi Liu 001; Xinyi Zhang; Linqi Song (ICPADS, 2021)

Live Gradient Compensation for Evading Stragglers in Distributed Learning. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (INFOCOM, 2021)

Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations. - Siyuan Wang; Qifa Yan; Jingjing Zhang; Jianping Wang 001; Linqi Song (ISIT, 2021)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan 001; Linqi Song (MASS, 2021)

A Whittle Index Approach to Minimizing Age of Multi-Packet Information in IoT Network. - Mianlong Chen; Kui Wu 001; Linqi Song (IEEE Access, 2021)

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information. - Lei Huang; Jiecong Lin; Xiangtao Li; Linqi Song; Ka-Chun Wong (CoRR, 2021)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan; Linqi Song (CoRR, 2021)

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (CoRR, 2021)

A Pattern and POS Auto-Learning Method for Terminology Extraction from Scientific Text. - Wei Shao 009; Bolin Hua; Linqi Song (Data Inf. Manag., 2021)

Conversational Semantic Role Labeling. - Kun Xu 005; Han Wu 004; Linfeng Song; Haisong Zhang; Linqi Song; Dong Yu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning. - Tan Li 002; Yuanzhang Xiao; Linqi Song (IEEE Trans. Green Commun. Netw., 2021)

Data Encoding for Byzantine-Resilient Distributed Optimization. - Deepesh Data; Linqi Song; Suhas N. Diggavi (IEEE Trans. Inf. Theory, 2021)

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings. - Haochen Tan; Wei Shao 009; Han Wu 004; Ke Yang; Linqi Song (ACL (Findings), 2022)

Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. - Sichun Luo; Yuanzhang Xiao; Linqi Song (CIKM, 2022)

HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. - Sichun Luo; Xinyi Zhang; Yuanzhang Xiao; Linqi Song (CIKM, 2022)

Federated Multi-Armed Bandits With Vector Rewards for Aspect-Based Recommendations. - Zengyan Liu; Linqi Song; Christina Fragouli (GLOBECOM, 2022)

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (ICDCS, 2022)

Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications. - Huanqi Yang; Hongbo Liu 002; Chengwen Luo 001; Yuezhong Wu; Wei Li 058; Albert Y. Zomaya; Linqi Song; Weitao Xu (ICDCS, 2022)

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Linqi Song; Kay Chen Tan (IJCNN, 2022)

Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. - Wei Shao 009; Lei Huang; Shuqi Liu 001; Shihua Ma; Linqi Song (IJCNN, 2022)

Zero-shot Cross-lingual Conversational Semantic Role Labeling. - Han Wu 004; Haochen Tan; Kun Xu 005; Shuqi Liu 001; Lianwei Wu; Linqi Song (NAACL-HLT (Findings), 2022)

Hiding Images in Deep Probabilistic Models. - Haoyu Chen; Linqi Song; Zhenxing Qian; Xinpeng Zhang 001; Kede Ma (NeurIPS, 2022)

An NLP-Empowered Virtual Course Assistant for Online Teaching and Learning. - Shuqi Liu 001; SiuYing Man; Linqi Song (TALE, 2022)

Designing an Educational Chatbot with Joint Intent Classification and Slot Filling. - Yujia Wang; Shuqi Liu 001; Linqi Song (TALE, 2022)

Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty. - Tan Li 002; Linqi Song (WCNC, 2022)

EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information. - Lei Huang; Jiecong Lin; Xiangtao Li; Linqi Song; Zetian Zheng; Ka-Chun Wong (Briefings Bioinform., 2022)

Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation. - Sichun Luo; Yuanzhang Xiao; Yang Liu 165; Congduan Li; Linqi Song (CoRR, 2022)

Sensing, processing, computing and networking for the era of wearables. - Wenbo Ding 001; Amir Hossein Alavi; Francesco Fioranelli; Gang Li 008; Xiaoyue Ni; Linqi Song (Digit. Signal Process., 2022)

Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey. - Shuqi Liu 001; Wei Shao 009; Tan Li 002; Weitao Xu; Linqi Song (Digit. Signal Process., 2022)

Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. - Tan Li 002; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Tan Li 002; Shao-Lun Huang; Tian Lan 001; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. - Xiaoming Xue; Cuie Yang; Yao Hu 001; Kai Zhang 029; Yiu-Ming Cheung; Linqi Song; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Communication-Efficient Federated Learning with Adaptive Quantization. - Yuzhu Mao; Zihao Zhao 001; Guangfeng Yan; Yang Liu 165; Tian Lan 001; Linqi Song; Wenbo Ding 001 (ACM Trans. Intell. Syst. Technol., 2022)

VCSUM: A Versatile Chinese Meeting Summarization Dataset. - Han Wu 004; Mingjie Zhan; Haochen Tan; Zhaohui Hou; Ding Liang; Linqi Song (ACL (Findings), 2023)

Improving Long-Tail Item Recommendation with Graph Augmentation. - Sichun Luo; Chen Ma 001; Yuanzhang Xiao; Linqi Song (CIKM, 2023)

Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts. - Haochen Tan; Han Wu 004; Wei Shao 009; Xinyun Zhang; Mingjie Zhan; Zhaohui Hou; Ding Liang; Linqi Song (EMNLP, 2023)

Fine-grained Conversational Decoding via Isotropic and Proximal Search. - Yuxuan Yao; Han Wu 004; Qiling Xu; Linqi Song (EMNLP, 2023)

Adaptive Top- K in SGD for Communication-Efficient Distributed Learning. - Mengzhe Ruan; Guangfeng Yan; Yuanzhang Xiao; Linqi Song; Weitao Xu (GLOBECOM, 2023)

Learning Locality and Isotropy in Dialogue Modeling. - Han Wu 004; Haochen Tan; Mingjie Zhan; Gangming Zhao; Shaoqing Lu; Ding Liang; Linqi Song (ICLR, 2023)

A Framework of Large-Scale Peer-to-Peer Learning System. - Yongkang Luo; Peiyi Han; Wenjian Luo; Shaocong Xue; Kesheng Chen; Linqi Song (ICONIP (2), 2023)

Semantic Communication Based on Entity Information Enhancement. - Xi Zhang; Dan Song; Linqi Song; Congduan Li (SPAWC, 2023)

A Fast Algorithm for Finding the Roots of Polynomials over Finite Fields. - Pingping Li; Leilei Yu; Linqi Song; Hanxu Hou (WCSP, 2023)

Matrix Completion via Coded Distributed Alternating Least Squares. - Siyuan Wang; Qifa Yan; Jingjing Zhang; Jianping Wang 001; Linqi Song (WCSP, 2023)

Product-Matrix Construction of Minimum Storage Rack-aware Regenerating Codes. - Bin Yu; Zhengyi Jiang; Zhongyi Huang; Linqi Song; Hanxu Hou (WCSP, 2023)

Self-Supervised Sentence Compression for Meeting Summarization. - Haochen Tan; Han Wu 004; Wei Shao 009; Xinyun Zhang; Mingjie Zhan; Zhaohui Hou; Ding Liang; Linqi Song (CoRR, 2023)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Tian Lan 001; Kui Wu 001; Linqi Song (CoRR, 2023)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Yinya Huang; Aojun Zhou; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2023)

Emma: An accurate, efficient, and multi-modality strategy for autonomous vehicle angle prediction. - Keqi Song; Tao Ni 003; Linqi Song; Weitao Xu (Intell. Converged Networks, 2023)

A pruning-then-quantization model compression framework for facial emotion recognition. - Han Sun; Wei Shao 009; Tao Li; Jiayu Zhao; Weitao Xu; Linqi Song (Intell. Converged Networks, 2023)

Towards efficient communications in federated learning: A contemporary survey. - Zihao Zhao 001; Yuzhu Mao; Yang Liu 165; Linqi Song; Ye Ouyang; Xinlei Chen; Wenbo Ding 001 (J. Frankl. Inst., 2023)

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. - Zhi-An Huang; Yao Hu 001; Rui Liu 038; Xiaoming Xue; Zexuan Zhu; Linqi Song; Kay Chen Tan (IEEE Trans. Biomed. Eng., 2023)

Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost. - Mengwei Yang; Shuqi Liu 001; Jie Xu 001; Guozhen Tan; Congduan Li; Linqi Song (J. Frankl. Inst., 2023)

Communication Efficient Federated Learning With Heterogeneous Structured Client Models. - Yao Hu 001; Xiaoyan Sun 002; Ye Tian 009; Linqi Song; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks. - Tan Li 002; Linqi Song (IEEE Trans. Cogn. Commun. Netw., 2023)

Special issue on non-deterministic machine learning. - Shao-Lun Huang; Emilie Chouzenoux; Simon J. Godsill; Tie Liu; Linqi Song; Lei Zhang (J. Frankl. Inst., 2023)

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Xiaoyan Sun 002; Linqi Song; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HEPM: High-efficiency pattern mining. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan; Yunling Song (Knowl. Based Syst., 2023)

CLOMO: Counterfactual Logical Modification with Large Language Models. - Yinya Huang; Ruixin Hong; Hongming Zhang 009; Wei Shao 009; Zhicheng Yang; Dong Yu 001; Changshui Zhang; Xiaodan Liang; Linqi Song (ACL (1), 2024)

Understanding and Patching Compositional Reasoning in LLMs. - Zhaoyi Li; Gangwei Jiang; Hong Xie 004; Linqi Song; Defu Lian; Ying Wei 001 (ACL (Findings), 2024)

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. - Shuqi Liu 001; Bowei He; Linqi Song (ACL (Findings), 2024)

ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. - Haochen Tan; Zhijiang Guo; Zhan Shi 001; Lu Xu; Zhili Liu; Yunlong Feng; Xiaoguang Li; Yasheng Wang; Lifeng Shang; Qun Liu 001; Linqi Song (ACL (1), 2024)

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. - Tianqi Zhong; Zhaoyi Li; Quan Wang 002; Linqi Song; Ying Wei 001; Defu Lian; Zhendong Mao 001 (ACL (1), 2024)

Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching. - Tan Li; Yanming Gong; Hai Liu; Zhen Chen; Linqi Song (IEEE Big Data, 2024)

Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. - Xilei Wu; Pei-Qiu Huang; Linqi Song; Hai-Lin Liu 001; Qingfu Zhang 001 (CEC, 2024)

Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. - Xiaoming Xue; Liang Feng 001; Cuie Yang; Songbai Liu; Linqi Song; Kay Chen Tan (CEC, 2024)

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. - Haokun Lin; Haoli Bai; Zhili Liu; Lu Hou 002; Muyi Sun; Linqi Song; Ying Wei 001; Zhenan Sun (CVPR, 2024)

LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation. - Yinqiao Li; Linqi Song; Hanxu Hou (EMNLP (Findings), 2024)

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. - Weichuan Wang; Zhaoyi Li; Defu Lian; Chen Ma 001; Linqi Song; Ying Wei 001 (EMNLP, 2024)

Large Language Models Augmented Rating Prediction in Recommender System. - Sichun Luo; Jiansheng Wang; Aojun Zhou; Li Ma; Linqi Song (ICASSP, 2024)

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. - Yinya Huang; Xiaohan Lin; Zhengying Liu; Qingxing Cao; Huajian Xin; Haiming Wang; Zhenguo Li; Linqi Song; Xiaodan Liang (ICLR, 2024)

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning. - Ke Wang 036; Houxing Ren; Aojun Zhou; Zimu Lu; Sichun Luo; Weikang Shi; Renrui Zhang; Linqi Song; Mingjie Zhan; Hongsheng Li 001 (ICLR, 2024)

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. - Aojun Zhou; Ke Wang 036; Zimu Lu; Weikang Shi; Sichun Luo; Zipeng Qin; Shaoqing Lu; Anya Jia; Linqi Song; Mingjie Zhan; Hongsheng Li 001 (ICLR, 2024)

Optimal Power Control for Over-the-Air Federated Learning with Gradient Compression. - Mengzhe Ruan; Yunhe Li; Weizhou Zhang; Linqi Song; Weitao Xu (ICPADS, 2024)

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. - Yao Hu 001; Rui Liu 038; Jiaqi Zhang; Zhi-An Huang; Linqi Song; Kay Chen Tan (IJCNN, 2024)

Tight Lower Bound on Cross-Rack Update Bandwidth and Explicit Constructions. - Zhengyi Jiang; Bin Yu; Zhongyi Huang; Linqi Song; Bo Bai 001; Gong Zhang 001; Hanxu Hou (ISIT, 2024)

Reed-Solomon Codes over Cyclic Polynomial Ring with Lower Encoding/Decoding Complexity. - Wenhao Liu; Zhengyi Jiang; Zhongyi Huang; Linqi Song; Hanxu Hou (ISIT, 2024)

New EVENODD+ Codes with More Flexible Parameters and Lower Complexity. - Panyu Zhu; Jingjie Lv; Yunghsiang S. Han; Linqi Song; Hanxu Hou (ISIT, 2024)

New Cauchy MDS Array Codes with Flexible Sub-Packetization and Efficient Decoding. - Peikai Li; Jingjie Lv; Linqi Song; Li Zhang; Hanxu Hou (ITW, 2024)

On the I/O Cost of Linear Repair Schemes for Arbitrary $(n,k)$ Reed-Solomon Codes. - Wenhao Liu; Zhengyi Jiang; Zhongyi Huang; Linqi Song; Hanxu Hou (ITW, 2024)

Addressing Fluctuating Stragglers in Distributed Matrix Multiplication via Fountain Codes. - Siyuan Wang; Jianping Wang; Linqi Song (ITW, 2024)

Towards Quantum-Safe Distributed Learning via Homomorphic Encryption: Learning with Gradients. - Guangfeng Yan; Shanxiang Lyu; Hanxu Hou; Zhiyong Zheng; Linqi Song (ITW, 2024)

Truncated Non-Uniform Quantization for Distributed SGD. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Hanxu Hou; Congduan Li; Linqi Song (ITW, 2024)

Rethinking the One-shot Object Detection: Cross-Domain Object Search. - Yupeng Zhang; Shuqi Zheng; Ruize Han; Yuzhong Feng; Junhui Hou; Linqi Song; Wei Feng 005; Liang Wan (ACM Multimedia, 2024)

FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving. - Xiaohan Lin; Qingxing Cao; Yinya Huang; Haiming Wang; Jianqiao Lu; Zhengying Liu; Linqi Song; Xiaodan Liang (NeurIPS, 2024)

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Jingzhi Cui; Yingtao Zhang; Linzhan Mou; Linqi Song; Zhenan Sun; Ying Wei 001 (NeurIPS, 2024)

Lightweight Instantly Decodable Network Coding in Wireless Broadcast. - Le Wang; Rina Su; Qifu Tyler Sun; Shaoteng Liu; Zhongshan Zhang; Linqi Song (VTC Spring, 2024)

Fast Erasure Decoding of Reed-Solomon Codes Based on Decomposition of Vandermonde Matrix. - Zebing Lin; Jingjie Lv; Pingping Li; Linqi Song; Hui Liang; Hanxu Hou (WCSP, 2024)

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery. - Yuxuan Yao; Sichun Luo; Haohan Zhao; Guanzhi Deng; Linqi Song (WWW (Companion Volume), 2024)

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. - Sichun Luo; Yuxuan Yao; Bowei He; Yinya Huang; Aojun Zhou; Xinyi Zhang; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2024)

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. - Haochen Tan; Zhijiang Guo; Zhan Shi 001; Lu Xu; Zhili Liu; Xiaoguang Li; Yasheng Wang; Lifeng Shang; Qun Liu 001; Linqi Song (CoRR, 2024)

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients. - Guangfeng Yan; Shanxiang Lyu; Hanxu Hou; Zhiyong Zheng; Linqi Song (CoRR, 2024)

Truncated Non-Uniform Quantization for Distributed SGD. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Congduan Li; Linqi Song (CoRR, 2024)

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Hanxu Hou; Linqi Song (CoRR, 2024)

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner. - Yuxuan Yao; Han Wu 004; Zhijiang Guo; Biyan Zhou; Jiahui Gao; Sichun Luo; Hanxu Hou; Xiaojin Fu; Linqi Song (CoRR, 2024)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions. - Sichun Luo; Wei Shao 009; Yuxuan Yao; Jian Xu; Mingyang Liu; Qintong Li; Bowei He; Maolin Wang 001; Guanzhi Deng; Hanxu Hou; Xinyi Zhang; Linqi Song (CoRR, 2024)

Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Jingzhi Cui; Yingtao Zhang; Linzhan Mou; Linqi Song; Zhenan Sun; Ying Wei 001 (CoRR, 2024)

Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. - Gangwei Jiang; Caigao Jiang; Zhaoyi Li; Siqiao Xue; Jun Zhou 011; Linqi Song; Defu Lian; Ying Wei 001 (CoRR, 2024)

Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis. - Zhicheng Yang; Yinya Huang; Wei Shi; Liang Feng; Linqi Song; Yiwei Wang 001; Xiaodan Liang; Jing Tang 004 (CoRR, 2024)

OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking. - Zekun Qian; Ruize Han; Wei Feng 005; Junhui Hou; Linqi Song; Song Wang 002 (CoRR, 2024)

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization. - Xiaoming Xue; Yao Hu 001; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (CoRR, 2024)

VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking. - Zekun Qian; Ruize Han; Junhui Hou; Linqi Song; Wei Feng 005 (CoRR, 2024)

Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs. - Shuo Tan; Rui Liu 035; Xianlei Long; Kai Wan; Linqi Song; Yong Li 023 (CoRR, 2024)

Killing two birds with one stone: Quantization achieves privacy in distributed learning. - Guangfeng Yan; Tan Li 002; Kui Wu 001; Linqi Song (Digit. Signal Process., 2024)

Structure-Aware Dialogue Modeling Methods for Conversational Semantic Role Labeling. - Han Wu 004; Kun Xu 005; Linqi Song (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Video Quality Assessment for Spatio-Temporal Resolution Adaptive Coding. - Hanwei Zhu; Baoliang Chen; Lingyu Zhu 006; Peilin Chen 001; Linqi Song; Shiqi Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Gap-Closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement. - Baoliang Chen; Lingyu Zhu 006; Hanwei Zhu; Wenhan Yang; Linqi Song; Shiqi Wang 001 (IEEE Trans. Multim., 2024)

A Language Model-Based Fine-Grained Address Resolution Framework in UAV Delivery System. - Sichun Luo; Yuxuan Yao; Haohan Zhao; Linqi Song (IEEE J. Sel. Top. Signal Process., 2024)

Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration. - Mengzhe Ruan; Guangfeng Yan; Yuanzhang Xiao; Linqi Song; Weitao Xu (IEEE J. Sel. Top. Signal Process., 2024)

CrossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing. - Letian Zhang; Zhuo Lu; Linqi Song; Jie Xu 001 (IEEE Trans. Mob. Comput., 2024)

PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. - Sichun Luo; Yuanzhang Xiao; Xinyi Zhang; Yang Liu 165; Wenbo Ding 001; Linqi Song (ACM Trans. Intell. Syst. Technol., 2024)

Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer. - Xiaoming Xue; Cuie Yang; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

Scenario-Adaptive Key Establishment Scheme for LoRa-Enabled IoV Communications. - Huanqi Yang; Di Duan; Hongbo Liu 002; Chengwen Luo 001; Yuezhong Wu; Wei Li 058; Albert Y. Zomaya; Linqi Song; Weitao Xu (IEEE Trans. Mob. Comput., 2024)

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models. - Shuqi Liu 001; Han Wu 004; Bowei He; Xiongwei Han; Mingxuan Yuan; Linqi Song (ACL (Findings), 2025)

DiffETM: Diffusion Process Enhanced Embedded Topic Model. - Wei Shao 009; Mingyang Liu; Linqi Song (ICASSP, 2025)

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning. - Gangwei Jiang; Caigao Jiang; Zhaoyi Li; Siqiao Xue; Jun Zhou 011; Linqi Song; Defu Lian; Ying Wei 001 (ICLR, 2025)

OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. - Zhicheng Yang; Yiwei Wang 001; Yinya Huang; Zhijiang Guo; Wei Shi; Xiongwei Han; Liang Feng; Linqi Song; Xiaodan Liang; Jing Tang 004 (ICLR, 2025)

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling. - Yuxuan Yao; Han Wu 004; Mingyang Liu; Sichun Luo; Xiongwei Han; Jie Liu; Zhijiang Guo; Linqi Song (ICLR, 2025)

mHMG-DTI: A Drug-Target Interaction Prediction Framework Combining Modified Hierarchical Molecular Graphs and Improved Convolutional Block Attention Module. - Zerui Yang; Yinqiao Li; Yudai Matsuda; Linqi Song (PAKDD (Workshops), 2025)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. - Jian Xu 016; Sichun Luo; Xiangyu Chen; Haoming Huang; Hanxu Hou; Linqi Song (WWW (Companion Volume), 2025)

Skyline recency-frequency-monetary pattern mining based on different constraint degrees. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan (Eng. Appl. Artif. Intell., 2025)

Enabling knowledge discovery through low utility itemset mining. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan (Expert Syst. Appl., 2025)

Multimodal Named Entity Recognition based on topic prompt and multi-curriculum denoising. - Mingying Xu; Kui Peng; Jie Liu; Qing Zhang; Linqi Song; Yinqiao Li (Inf. Fusion, 2025)

Learning and grounding visual multimodal adaptive graph for visual navigation. - Kang Zhou 003; Jianping Wang 001; Weitao Xu; Linqi Song; Zaiqiao Ye; Chi Guo; Cong Li (Inf. Fusion, 2025)

Short-sighted knowledge discovery in temporal transaction database via time pruning. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan (Knowl. Based Syst., 2025)

Integrated Object Detection and Communication for Synthetic Aperture Radar Images. - Zhiping Xu; Deyin Xu; Lixiong Lin; Linqi Song; Dan Song 008; Yanglong Sun; Qiwang Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Synthetic-to-Real Video Person Re-ID. - Xiangqun Zhang 003; Ruize Han; Likai Wang 002; Linqi Song; Junhui Hou; Wei Feng 005 (IEEE Trans. Inf. Forensics Secur., 2025)

Accelerating Data Access for Single Node in Distributed Storage Systems via MDS Codes. - Hao Shi; Zhengyi Jiang; Zhongyi Huang; Linqi Song; Hanxu Hou (CoRR, 2025)

Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning. - Chih Wei Ling; Youqi Wu; Jiande Sun 001; Cheuk Ting Li; Linqi Song; Weitao Xu (CoRR, 2025)

Towards Improving Interpretability of Language Model Generation Through a Structured Knowledge Discovery Approach. - Shuqi Liu 001; Han Wu 004; Guanzhi Deng; Jianshu Chen; Xiaoyang Wang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. - Jian Xu 016; Shuo Wan; Yinchuan Li; Sichun Luo; Zhilin Chen; Yunfeng Shao 001; Zhitang Chen; Shao-Lun Huang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

Lightweight Instantly Decodable Network Coding: Performance Analysis and Algorithm Design. - Rina Su; Qifu Tyler Sun; Le Wang; Shaoteng Liu; Zhongshan Zhang; Linqi Song (IEEE Trans. Commun., 2025)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. - Jian Xu; Sichun Luo; Xiangyu Chen; Haoming Huang; Hanxu Hou; Linqi Song (CoRR, 2025)

OPTISHEAR: Towards Efficient and Adaptive Pruning of Large Language Models via Evolutionary Optimization. - Shuqi Liu 001; Bowei He; Han Wu 004; Linqi Song (CoRR, 2025)

1bit-Merging: Dynamic Quantized Merging for Large Language Models. - Shuqi Liu 001; Han Wu 004; Bowei He; Zehua Liu; Xiongwei Han; Mingxuan Yuan; Linqi Song (CoRR, 2025)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning. - Sichun Luo; Jian Xu 016; Xiaojie Zhang; Linrong Wang; Sicong Liu; Hanxu Hou; Linqi Song (CoRR, 2025)

Error Correction Decoding Algorithms of RS Codes Based on an Earlier Termination Algorithm to Find the Error Locator Polynomial. - Zhengyi Jiang; Hao Shi; Zhongyi Huang; Linqi Song; Bo Bai 001; Gong Zhang 001; Hanxu Hou (IEEE Trans. Inf. Theory, 2025)

Activation-Guided Consensus Merging for Large Language Models. - Yuxuan Yao; Shuqi Liu 001; Zehua Liu; Qintong Li; Mingyang Liu; Xiongwei Han; Zhijiang Guo; Han Wu 004; Linqi Song (CoRR, 2025)

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation. - Sichun Luo; Guanzhi Deng; Jian Xu 016; Xiaojie Zhang; Hanxu Hou; Linqi Song (CoRR, 2025)

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning. - Gangwei Jiang; Yahui Liu; Zhaoyi Li; Qi Wang; Fuzheng Zhang; Linqi Song; Ying Wei 001; Defu Lian (CoRR, 2025)

A Scalable Test Problem Generator for Sequential Transfer Optimization. - Xiaoming Xue; Cuie Yang; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (IEEE Trans. Cybern., 2025)

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search. - Zerui Yang; Yuwei Wan; Siyu Yan; Yudai Matsuda; Tong Xie; Bram Hoex; Linqi Song (CoRR, 2025)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Kui Wu 001; Linqi Song (IEEE J. Sel. Areas Commun., 2025)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Wei Shao 009; Yanlin Qi; Yinya Huang; Aojun Zhou; Yuxuan Yao; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (ACM Trans. Inf. Syst., 2025)

3D Shape Completion on Unseen Categories: A Weakly-Supervised Approach. - Lintai Wu; Junhui Hou; Linqi Song; Yong Xu 001 (IEEE Trans. Vis. Comput. Graph., 2025)