VMS: Traffic balancing based on virtual switches in datacenter networks. - Zhaogeng Li; Jun Bi; Yiran Zhang; Abdul Basit Dogar; Chengwei Qin (ICNP, 2017)

Sensor-based calibrations to improve reliability of systems subject to multiple dependent competing failure processes. - Dejing Kong; Chengwei Qin; Yong He; Lirong Cui (Reliab. Eng. Syst. Saf., 2017)

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation. - Chengwei Qin; Shafiq R. Joty (ACL (1), 2022)

LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5. - Chengwei Qin; Shafiq R. Joty (ICLR, 2022)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Lidong Bing; Shafiq R. Joty; Boyang Li 001 (CoRR, 2022)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Yew Ken Chia; Boyang Li 001; Shafiq Joty; Lidong Bing (ACL (1), 2023)

Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition. - Yuchen Hu; Ruizhe Li 001; Chen Chen 075; Chengwei Qin; Qiu-Shi Zhu; Eng Siong Chng (ACL (1), 2023)

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding. - Qian Li 043; Shafiq Joty; Daling Wang; Shi Feng 001; Yifei Zhang 003; Chengwei Qin (ACL (Findings), 2023)

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? - Chengwei Qin; Shafiq R. Joty; Qian Li 043; Ruochen Zhao (ACL (1), 2023)

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. - Ruochen Zhao; Xingxuan Li; Shafiq Joty; Chengwei Qin; Lidong Bing (ACL (1), 2023)

Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation. - Chengwei Qin; Chen Chen 075; Shafiq Joty (EMNLP, 2023)

Is ChatGPT a General-Purpose Natural Language Processing Task Solver? - Chengwei Qin; Aston Zhang; Zhuosheng Zhang 001; Jiaao Chen; Michihiro Yasunaga; Diyi Yang (EMNLP, 2023)

Retrieving Multimodal Information for Augmented Generation: A Survey. - Ruochen Zhao; Hailin Chen; Weishi Wang; Fangkai Jiao; Do Xuan Long; Chengwei Qin; Bosheng Ding; Xiaobao Guo; Minzhi Li; Xingxuan Li; Shafiq Joty (EMNLP (Findings), 2023)

PromptSum: Parameter-Efficient Controllable Abstractive Summarization. - Mathieu Ravaut; Hailin Chen; Ruochen Zhao; Chengwei Qin; Shafiq Joty; Nancy F. Chen (CoRR, 2023)

In-Context Learning with Iterative Demonstration Selection. - Chengwei Qin; Aston Zhang; Anirudh Dagar; Wenming Ye (CoRR, 2023)

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? - Hailin Chen; Fangkai Jiao; Xingxuan Li; Chengwei Qin; Mathieu Ravaut; Ruochen Zhao; Caiming Xiong; Shafiq Joty (CoRR, 2023)

Improving In-context Learning via Bidirectional Alignment. - Chengwei Qin; Wenhan Xia; Fangkai Jiao; Shafiq Joty (CoRR, 2023)

Is a Large Language Model a Good Annotator for Event Extraction? - Ruirui Chen 002; Chengwei Qin; Weifeng Jiang; Dongkyu Choi (AAAI, 2024)

Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System. - Chen Chen 075; Ruizhe Li 001; Yuchen Hu; Yuanyuan Chen; Chengwei Qin; Qiang Zhang (ACL (Findings), 2024)

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. - Bosheng Ding; Chengwei Qin; Ruochen Zhao; Tianze Luo; Xinze Li; Guizhen Chen; Wenhan Xia; Junjie Hu 001; Anh Tuan Luu; Shafiq Joty (ACL (Findings), 2024)

Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models. - Yuchen Hu; Chen Chen 075; Chengwei Qin; Qiushi Zhu; Engsiong Chng; Ruizhe Li 001 (ACL (Findings), 2024)

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. - Ruirui Chen 002; Weifeng Jiang; Chengwei Qin; Ishaan Singh Rawal; Cheston Tan; Dongkyu Choi; Bo Xiong; Bo Ai 008 (EMNLP (Findings), 2024)

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing. - Fangkai Jiao; Chengwei Qin; Zhengyuan Liu; Nancy F. Chen; Shafiq Joty (EMNLP, 2024)

In-Context Learning with Iterative Demonstration Selection. - Chengwei Qin; Aston Zhang; Chen Chen 075; Anirudh Dagar; Wenming Ye (EMNLP (Findings), 2024)

Lifelong Event Detection with Embedding Space Separation and Compaction. - Chengwei Qin; Ruirui Chen 002; Ruochen Zhao; Wenhan Xia; Shafiq Joty (NAACL (Short Papers), 2024)

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. - Yuchen Hu; Chen Chen 075; Chao-Han Yang; Chengwei Qin; Pin-Yu Chen; Engsiong Chng; Chao Zhang 031 (NeurIPS, 2024)

Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning. - Wenhan Xia; Chengwei Qin; Elad Hazan (CoRR, 2024)

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (CoRR, 2024)

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. - Yuchen Hu; Chen Chen 075; Chao-Han Huck Yang; Chengwei Qin; Pin-Yu Chen; Eng Siong Chng; Chao Zhang 031 (CoRR, 2024)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. - Hailin Chen; Fangkai Jiao; Mathieu Ravaut; Nawshad Farruque; Xuan-Phi Nguyen; Chengwei Qin; Manan Dey; Bosheng Ding; Caiming Xiong; Shafiq Joty; Yingbo Zhou (CoRR, 2024)

Theory of Mind in Large Language Models: Assessment and Enhancement. - Ruirui Chen 002; Weifeng Jiang; Chengwei Qin; Cheston Tan (ACL (1), 2025)

Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning. - Chengwei Qin; Wenhan Xia; Fangkai Jiao; Chen Chen 075; Yuchen Hu; Bosheng Ding; Ruirui Chen 002; Shafiq Joty (ACL (1), 2025)

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? - Chengwei Qin; Wenhan Xia; Tan Wang; Fangkai Jiao; Yuchen Hu; Bosheng Ding; Ruirui Chen 002; Shafiq Joty (ACL (Findings), 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

A Comprehensive Survey of Contamination Detection Methods in Large Language Models. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

Unicorn: Text-Only Data Synthesis for Vision Language Model Training. - Xiaomin Yu; Pengxiang Ding; Wenjie Zhang; Siteng Huang; Songyang Gao; Chengwei Qin; Kejian Wu; Zhaoxin Fan; Ziyue Qiao; Donglin Wang (CoRR, 2025)

Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation. - Chengwei Qin; Wenxuan Zhou; Karthik Abinav Sankararaman; Nanshu Wang; Tengyu Xu; Alexander Radovic; Eryk Helenowski; Arya Talebzadeh; Aditya Tayade; Sinong Wang; Shafiq Joty; Han Fang; et al. (CoRR, 2025)