| 2026 | ACL | On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation. | Weichuan Wang, Mingyang Liu, Chen Ma, Linqi Song |
| 2026 | ACL | Memo-SQL: Structured Decomposition and Experience-Driven Self-Correction for Training-Free NL2SQL. | Zerui Yang, Weichuan Wang, Yanwei Xu, Linqi Song, Yudai Matsuda, Wei Han, Bo Bai |
| 2026 | ISIT | Towards Ciphertext-Efficient LWE: Learning With Sampling over Sublattices. | Shanxiang Lyu, Ling Liu, Yong Li, Linqi Song |
| 2026 | ISIT | FR-BCH Codes for Fine-Grained Rate Adaptation. | Qianfan Wang, Yiwen Wang, Jifan Liang, Linqi Song, Xiao Ma |
| 2026 | ISIT | Residual Sphere-Packing Bounds for Binary Linear Codes via Puncturing on Minimum-Weight Supports. | Qianfan Wang, Yiwen Wang, Linqi Song, Xiao Ma |
| 2026 | ISIT | Automorphism-Enhanced GCD Algorithm for Polar Codes. | Qianfan Wang, Xiangping Zheng, Yiwen Wang, Peihong Yuan, Linqi Song, Xiao Ma |
| 2026 | ISIT | Faster-than-Nyquist Signaling for Nonlinear SWIPT with Finite-Alphabet Inputs. | Jiayi Yang, Qianfan Wang, Shuangyang Li, Linqi Song, Xiao Ma, Giuseppe Caire |
| 2026 | WCNC | GE-Free BP-OSD for Short 5G LDPC Codes. | Qianfan Wang, Yiwen Wang, Jiayi Yang, Linqi Song, Xiao Ma |
| 2026 | WCNC | Gaussian Elimination-Free OSD via Pre-Stored Matrices. | Yiwen Wang, Qianfan Wang, Xiangping Zheng, Linqi Song, Xiao Ma |
| 2026 | WCNC | Generalizing the Outage Minimization Problem in Wireless Random Caching: An Alpha Utility Perspective for Managing Content Popularity-QoS Disparity. | Kuan Wu, Qianfan Wang, Linqi Song |
| 2025 | ACL | Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models. | Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song |
| 2025 | EMNLP | What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning. | Gangwei Jiang, Yahui Liu, Zhaoyi Li, Wei Bi, Fuzheng Zhang, Linqi Song, Ying Wei, Defu Lian |
| 2025 | GLOBECOM | Reduced-Complexity Guessing Codeword Decoding of BCH Codes with Most Reliable Cyclic Basis. | Yiwen Wang, Qianfan Wang, Xiangping Zheng, Linqi Song, Xiao Ma |
| 2025 | ICASSP | DiffETM: Diffusion Process Enhanced Embedded Topic Model. | Wei Shao, Mingyang Liu, Linqi Song |
| 2025 | ICCV | VOVTrack: Exploring the Potentiality in Raw Videos for Open-Vocabulary Multi-Object Tracking. | Zekun Qian, Ruize Han, Junhui Hou, Linqi Song, Wei Feng |
| 2025 | ICLR | 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, Linqi Song, Defu Lian, Ying Wei |
| 2025 | ICLR | OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. | Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang |
| 2025 | ICLR | Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling. | Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song |
| 2025 | PAKDD | 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 |
| 2025 | WWW | RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. | Jian Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, Linqi Song |
| 2024 | ACL | CLOMO: Counterfactual Logical Modification with Large Language Models. | Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song |
| 2024 | ACL | Understanding and Patching Compositional Reasoning in LLMs. | Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei |
| 2024 | ACL | Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining. | Shuqi Liu, Bowei He, Linqi Song |
| 2024 | ACL | ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. | Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song |
| 2024 | ACL | Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. | Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao |
| 2024 | CEC | Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. | Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang |
| 2024 | CEC | Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results. | Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan |
| 2024 | CVPR | MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. | Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun |
| 2024 | EMNLP | LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation. | Yinqiao Li, Linqi Song, Hanxu Hou |
| 2024 | EMNLP | Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. | Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei |
| 2024 | ICASSP | Large Language Models Augmented Rating Prediction in Recommender System. | Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song |
| 2024 | ICLR | 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 |
| 2024 | ICLR | MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning. | Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li |
| 2024 | ICLR | Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. | Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li |
| 2024 | ICPADS | Optimal Power Control for Over-the-Air Federated Learning with Gradient Compression. | Mengzhe Ruan, Yunhe Li, Weizhou Zhang, Linqi Song, Weitao Xu |
| 2024 | IJCNN | Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. | Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan |
| 2024 | ISIT | Tight Lower Bound on Cross-Rack Update Bandwidth and Explicit Constructions. | Zhengyi Jiang, Bin Yu, Zhongyi Huang, Linqi Song, Bo Bai, Gong Zhang, Hanxu Hou |
| 2024 | ISIT | Reed-Solomon Codes over Cyclic Polynomial Ring with Lower Encoding/Decoding Complexity. | Wenhao Liu, Zhengyi Jiang, Zhongyi Huang, Linqi Song, Hanxu Hou |
| 2024 | ISIT | New EVENODD+ Codes with More Flexible Parameters and Lower Complexity. | Panyu Zhu, Jingjie Lv, Yunghsiang S. Han, Linqi Song, Hanxu Hou |
| 2024 | ITW | New Cauchy MDS Array Codes with Flexible Sub-Packetization and Efficient Decoding. | Peikai Li, Jingjie Lv, Linqi Song, Li Zhang, Hanxu Hou |
| 2024 | ITW | 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 |
| 2024 | ITW | Addressing Fluctuating Stragglers in Distributed Matrix Multiplication via Fountain Codes. | Siyuan Wang, Jianping Wang, Linqi Song |
| 2024 | ITW | Towards Quantum-Safe Distributed Learning via Homomorphic Encryption: Learning with Gradients. | Guangfeng Yan, Shanxiang Lyu, Hanxu Hou, Zhiyong Zheng, Linqi Song |
| 2024 | ITW | Truncated Non-Uniform Quantization for Distributed SGD. | Guangfeng Yan, Tan Li, Yuanzhang Xiao, Hanxu Hou, Congduan Li, Linqi Song |
| 2024 | VTC | Lightweight Instantly Decodable Network Coding in Wireless Broadcast. | Le Wang, Rina Su, Qifu Tyler Sun, Shaoteng Liu, Zhongshan Zhang, Linqi Song |
| 2024 | WWW | 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 |
| 2023 | ACL | VCSUM: A Versatile Chinese Meeting Summarization Dataset. | Han Wu, Mingjie Zhan, Haochen Tan, Zhaohui Hou, Ding Liang, Linqi Song |
| 2023 | CIKM | Improving Long-Tail Item Recommendation with Graph Augmentation. | Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song |
| 2023 | EMNLP | Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts. | Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song |
| 2023 | EMNLP | Fine-grained Conversational Decoding via Isotropic and Proximal Search. | Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song |
| 2023 | GLOBECOM | Adaptive Top- K in SGD for Communication-Efficient Distributed Learning. | Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu |
| 2023 | ICLR | Learning Locality and Isotropy in Dialogue Modeling. | Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song |
| 2023 | ICONIP | A Framework of Large-Scale Peer-to-Peer Learning System. | Yongkang Luo, Peiyi Han, Wenjian Luo, Shaocong Xue, Kesheng Chen, Linqi Song |
| 2022 | ACL | A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings. | Haochen Tan, Wei Shao, Han Wu, Ke Yang, Linqi Song |
| 2022 | CIKM | Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. | Sichun Luo, Yuanzhang Xiao, Linqi Song |
| 2022 | CIKM | HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. | Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song |
| 2022 | GLOBECOM | Federated Multi-Armed Bandits With Vector Rewards for Aspect-Based Recommendations. | Zengyan Liu, Linqi Song, Christina Fragouli |
| 2022 | ICDCS | Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. | Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan |
| 2022 | ICDCS | Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications. | Huanqi Yang, Hongbo Liu, Chengwen Luo, Yuezhong Wu, Wei Li, Albert Y. Zomaya, Linqi Song, Weitao Xu |
| 2022 | IJCNN | A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. | Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan |
| 2022 | IJCNN | Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. | Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song |
| 2022 | NAACL | Zero-shot Cross-lingual Conversational Semantic Role Labeling. | Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song |
| 2022 | WCNC | Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty. | Tan Li, Linqi Song |
| 2021 | ACL | Domain-Adaptive Pretraining Methods for Dialogue Understanding. | Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song |
| 2021 | EMNLP | CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling. | Han Wu, Kun Xu, Linqi Song |
| 2021 | ICIS | Racial Bias During "Black Lives Matter": How Social Movement Reshapes Airbnb Host Performance. | Tong Xu, Angela Lu, Abhay Mishra, Linqi Song, Zengyan Liu |
| 2021 | ICPADS | Predicting Downside in Stock Market Using Knowledge and News Data. | Xinlin Li, Shuqi Liu, Xinyi Zhang, Linqi Song |
| 2021 | INFOCOM | Live Gradient Compensation for Evading Stragglers in Distributed Learning. | Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan |
| 2021 | ISIT | Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations. | Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song |
| 2021 | MASS | DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. | Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song |
| 2020 | EMNLP | Semantic Role Labeling Guided Multi-turn Dialogue ReWriter. | Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu |
| 2020 | ISIT | On Secrecy Key of a class of Secure Asymmetric Multilevel Diversity Coding System. | Congduan Li, Jingliang He, Shiqiu Liu, Dongliang Guo, Linqi Song |
| 2020 | ISIT | Federated Recommendation System via Differential Privacy. | Tan Li, Linqi Song, Christina Fragouli |
| 2020 | WCNC | Coded Caching with Heterogeneous User Groups. | Jingliang He, Congduan Li, Linqi Song |
| 2019 | CCS | Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. | Yang Bai, Lixing Chen, Linqi Song, Jie Xu |
| 2019 | GLOBECOM | Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. | Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu |
| 2019 | GLOBECOM | Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users. | Letian Zhang, Linqi Song, Jie Xu |
| 2019 | ISIT | Data Encoding Methods for Byzantine-Resilient Distributed Optimization. | Deepesh Data, Linqi Song, Suhas N. Diggavi |
| 2019 | ISIT | Interactions Between Learning and Broadcasting in Wireless Recommendation Systems. | Linqi Song, Christina Fragouli, Devavrat Shah |
| 2018 | ISIT | Privacy in Index Coding: Improved Bounds and Coding Schemes. | Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli |
| 2018 | ISIT | Distributed Computing Trade-offs with Random Connectivity. | Sundara Rajan Srinivasavaradhan, Linqi Song, Christina Fragouli |
| 2018 | ITW | Dynamic Edge Caching with Popularity Drifting. | Linqi Song, Jie Xu |
| 2018 | ITW | Recommender Systems over Wireless: Challenges and Opportunities. | Linqi Song, Christina Fragouli, Devavrat Shah |
| 2017 | ISIT | Private Broadcasting: An index coding approach. | Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli |
| 2017 | ISIT | Making recommendations bandwidth aware. | Linqi Song, Christina Fragouli |
| 2017 | ISIT | A pliable index coding approach to data shuffling. | Linqi Song, Christina Fragouli, Tianchu Zhao |
| 2017 | ITW | Preserving privacy while broadcasting: K-limited-access schemes. | Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli |
| 2017 | ITW | The benefit of being flexible in distributed computation. | Linqi Song, Sundara Rajan Srinivasavaradhan, Christina Fragouli |
| 2016 | ISIT | A polynomial-time algorithm for pliable index coding. | Linqi Song, Christina Fragouli |
| 2014 | GLOBECOM | Context-driven online learning for activity classification in wireless health. | Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar |
| 2014 | ICASSP | Clustering based online learning in recommender systems: A bandit approach. | Linqi Song, Cem Tekin, Mihaela van der Schaar |
| 2014 | ICASSP | Non-stationary demand side management method for smart grids. | Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar |