Peng Lu

According to our database, Peng Lu authored at least 53 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering.

Tung Sum Thomas Kwok, Xinyu Wang, Xiaofeng Lin, Peng Lu, Chunhe Wang, Changlun Li, Hanwei Wu, Nan Tang, Elisa Kreiss, Guang Cheng

CoRR, April, 2026

InfMem: Learning System-2 Memory Control for Long-Context Agent.

Xinyu Wang, Mingze Li, Peng Lu, Xiao-Wen Chang, Lifeng Shang, Jinping Li, Fei Mi, Prasanna Parthasarathi, Yufei Cui

CoRR, February, 2026

Enhancing TableQA through Verifiable Reasoning Trace Reward.

Tung Sum Thomas Kwok, Xinyu Wang, Hengzhi He, Xiaofeng Lin, Peng Lu, Liheng Ma, Chunhe Wang, Ying Nian Wu, Lei Ding, Guang Cheng

CoRR, January, 2026

Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editing.

Xinyu Wang, Sicheng Lyu, Yu Gu, Jerry Huang, Peng Lu, Yufei Cui, Xiao-Wen Chang

CoRR, January, 2026

SEAD-MGFE-Net: Schrödinger equation-based adaptive dropout multi-granular feature enhancement network for conversational aspect-based sentiment quadruple analysis.

Wei Liu, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Inf. Sci., 2026

3WD-DRT: A three-way decision enhanced dynamic routing transformer for cost-sensitive multimodal sentiment analysis.

Haoyu Jiang, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Inf. Sci., 2026

Formal modeling and discovery of cross-organizational business processes: A privacy-preserving two-stage approach.

Wei Liu, Ge Xin, Xiaoliang Chen, Xu Gu, Duoqian Miao, Peng Lu, Lujia Li

Inf. Process. Manag., 2026

DECTUIL: Cross-social network user identity linkage via dynamic embedding and clustering model driven by three-way decision.

Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Expert Syst. Appl., 2026

Bridging modality gaps: Cross-modal complementary learning with three-way decision for multimodal intent recognition.

Senhao Li, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Peng Lu

Expert Syst. Appl., 2026

StaProDyn: A unified framework for multimodal sentiment analysis with stability-aware filtering, prompt learning enhancement, and dynamic fusion.

Senhao Li, Xiaoliang Chen, Zhaoyan Li, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Peng Lu

Expert Syst. Appl., 2026

PrivTSAD-FedWGAN: A novel federated learning and WGAN framework for privacy-preserving multivariate time series anomaly detection.

Haoyu Jiang, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Expert Syst. Appl., 2026

In-context learning enhanced by multi-perspective sequential retrieval and predictive feedback for few-shot aspect-based sentiment analysis.

Jiasen Gao, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Expert Syst. Appl., 2026

Federated learning enhanced spatial and temporal attention mechanism for multivariate time series anomaly detection.

Yue He, Weicheng Wang, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Baiyang Chen, Peng Lu

Appl. Soft Comput., 2026

VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering.

Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang

Proceedings of the ACM Web Conference 2026, 2026

When Agents Trade: Live Multi-Market Trading Arena for LLM Agents.

Lingfei Qian, Xueqing Peng, Hanley Smith, Yi Han, Yueru He, Haohang Li, Yupeng Cao, Yangyang Yu, Guojun Xiong, Peng Lu, Yan Wang, Vincent Jim Zhang, Huan He, Alejandro Lopez-Lira, Jimin Huang, Jian-Yun Nie, Sophia Ananiadou

Proceedings of the ACM Web Conference 2026, 2026

2025

Intervening in Negative Emotion Contagion on Social Networks Using Reinforcement Learning.

Qin Deng, Xiaoliang Chen, Peng Lu, Yajun Du, Xiangyong Li

IEEE Trans. Comput. Soc. Syst., December, 2025

R²R: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers.

Xinyu Wang, Hanwei Wu, Qingchen Hu, Zhenghan Tai, Jingrui Tian, Lei Ding, Jijun Chi, Hailin He, Tung Sum Thomas Kwok, Yufei Cui, Sicheng Lyu, Muzhi Li, Mingze Li, Xinyue Yu, Ling Zhou, Peng Lu

CoRR, November, 2025

EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing.

Sicheng Lyu, Yu Gu, Xinyu Wang, Jerry Huang, Sitao Luan, Yufei Cui, Xiao-Wen Chang, Peng Lu

CoRR, October, 2025

When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents.

Lingfei Qian, Xueqing Peng, Yan Wang, Vincent Jim Zhang, Huan He, Hanley Smith, Yi Han, Yueru He, Haohang Li, Yupeng Cao, Yangyang Yu, Alejandro Lopez-Lira, Peng Lu, Jian-Yun Nie, Guojun Xiong, Jimin Huang, Sophia Ananiadou

CoRR, October, 2025

Mamba Modulation: On the Length Generalization of Mamba.

Peng Lu, Jerry Huang, Qiuhao Zeng, Xinyu Wang, Boxing Wang, Philippe Langlais, Yufei Cui

CoRR, September, 2025

PoTPTQ: A Two-step Power-of-Two Post-training for LLMs.

Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui

CoRR, July, 2025

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation.

Xueqing Peng, Lingfei Qian, Yan Wang, Ruoyu Xiang, Yueru He, Yang Ren, Mingyang Jiang, Jeff Zhao, Huan He, Yi Han, Yun Feng, Yuechen Jiang, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie

CoRR, June, 2025

Fpa-GCN: enhancing aspect sentiment triplet extraction with feature-rich prediction-aware graph convolutional networks.

Haoyu Jiang, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Xu Gu, Peng Lu, Xianyong Li

Appl. Intell., June, 2025

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering.

Xinyu Wang, Jijun Chi, Zhenghan Tai, Tung Sum Thomas Kwok, Muzhi Li, Zhuhong Li, Hailin He, Yuchen Hua, Peng Lu, Suyuchen Wang, Yihong Wu, Jerry Huang, Jingrui Tian, Ling Zhou

CoRR, April, 2025

Resona: Improving Context Copying in Linear Recurrence Models with Retrieval.

Xinyu Wang, Linrui Ma, Jerry Huang, Peng Lu, Prasanna Parthasarathi, Xiao-Wen Chang, Boxing Chen, Yufei Cui

CoRR, March, 2025

Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework.

Songlin Chen, Weicheng Wang, Xiaoliang Chen, Maolin Zhang, Peng Lu, Xianyong Li, Yajun Du

J. Supercomput., January, 2025

IFusionQuad: A novel framework for improved aspect-based sentiment quadruple analysis in dialogue contexts with advanced feature integration and contextual CloBlock.

Haoyu Jiang, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Xu Gu, Peng Lu

Expert Syst. Appl., 2025

Graph-enhanced anomaly detection framework in multivariate time series using Graph Attention and Enhanced Generative Adversarial Networks.

Yue He, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Expert Syst. Appl., 2025

ADA-UDA: A transferable transformer framework for rumor detection using Adversarial Domain Alignment within Unsupervised Domain Adaptation.

Songlin Chen, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Peng Lu

Expert Syst. Appl., 2025

Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment.

Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

Complex Intell. Syst., 2025

ReGLA: Refining Gated Linear Attention.

Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Boxing Chen, Philippe Langlais

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs.

Xinyu Wang, Vahid Partovi Nia, Peng Lu, Jerry Huang, Xiao-Wen Chang, Boxing Chen, Yufei Cui

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

An Interpretable Quantum-Inspired Model for Multi-Task Natural Language Understanding.

Peng Lu, Jerry Huang, Xinyu Wang, Philippe Langlais

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering.

Xinyu Wang, Jijun Chi, Zhenghan Tai, Tung Sum Thomas Kwok, Hailin He, Zhuhong Li, Yuchen Hua, Muzhi Li, Peng Lu, Suyuchen Wang, Yihong Wu, Jerry Huang, Jingrui Tian, Fengran Mo, Yufei Cui, Ling Zhou

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Federated Spatio-Temporal Attention for Time Series Anomaly Detection.

Weicheng Wang, Yue He, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024

SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing.

Xu Gu, Xiaoliang Chen, Peng Lu, Xiang Lan, Xianyong Li, Yajun Du

J. Supercomput., February, 2024

Multi-granularity attribute similarity model for user alignment across social platforms under pre-aligned data sparsity.

Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

Inf. Process. Manag., 2024

Label-semantics enhanced multi-layer heterogeneous graph convolutional network for Aspect Sentiment Quadruplet Extraction.

Yiheng Fu, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Peng Lu, Xianyong Li

Expert Syst. Appl., 2024

AGCVT-prompt for sentiment classification: Automatically generating chain of thought and verbalizer in prompt learning.

Xu Gu, Xiaoliang Chen, Peng Lu, Zonggen Li, Yajun Du, Xianyong Li

Eng. Appl. Artif. Intell., 2024

LLaMA-LoRA Neural Prompt Engineering: A Deep Tuning Framework for Automatically Generating Chinese Text Logical Reasoning Thinking Chains.

Songlin Chen, Weicheng Wang, Xiaoliang Chen, Peng Lu, Zaiyan Yang, Yajun Du

Data Intell., 2024

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb E. Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou

CoRR, 2024

Resonance RoPE: Improving Context Length Generalization of Large Language Models.

Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

DialogueINAB: an interaction neural network based on attitudes and behaviors of interlocutors for dialogue emotion recognition.

Junyuan Ding, Xiaoliang Chen, Peng Lu, Zaiyan Yang, Xianyong Li, Yajun Du

J. Supercomput., December, 2023

DNETC: dynamic network embedding preserving both triadic closure evolution and community structures.

Min Yang, Xiaoliang Chen, Baiyang Chen, Peng Lu, Yajun Du

Knowl. Inf. Syst., March, 2023

Influence maximization in social networks using role-based embedding.

Xu Gu, Zhibin Wang, Xiaoliang Chen, Peng Lu, Yajun Du, Mingwei Tang

Networks Heterog. Media, 2023

CNFRD: A Few-Shot Rumor Detection Framework via Capsule Network for COVID-19.

Danroujing Chen, Xiaoliang Chen, Peng Lu, Xuyang Wang, Xiang Lan

Int. J. Intell. Syst., 2023

Efficient Classification of Long Documents via State-Space Models.

Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do we need Label Regularization to Fine-tune Pre-trained Language Models?

Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.

Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models.

Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart

CoRR, 2022

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.

Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation.

Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling.

Peng Lu, Ting Bai, Philippe Langlais

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019