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Changze Lv

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

26

Venues

10

Active years

2023–2026

Best venue rank

A*

Where they publish

Papers

26 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIExplainable Synthetic Image Detection Through Diffusion Timestep Ensembling.Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
2026ACLControllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction.Zisu Huang, Muzhao Tian, Xiaohua Wang, Jingwen Xu, Zhengkang Guo, Qi Qian, Kaitao Song, Jiakang Yuan, Changze Lv, Xiaoqing Zheng
2026ACLMitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling.Zhenghua Wang, Yiran Ding, Changze Lv, Yixin Wu, Tianlong Li, Zhibo Xu, Muling Wu, Tianyuan Shi, Shizheng Li, Qi Qian, Xuanjing Huang, Xiaoqing Zheng
2026ACLMitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation.Zhenghua Wang, Yixin Wu, Feiran Zhang, Qi Qian, Changze Lv, Xuanjing Huang, Xiaoqing Zheng
2026ACLVIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck.Feiran Zhang, Yixin Wu, Zhenghua Wang, Xiaohua Wang, Changze Lv, Xuanjing Huang, Xiaoqing Zheng
2026INFOCOMTPipe: Efficient Spiking Transformer Training with Time Parallelism and Asynchronous Pipeline.Yubing Bao, ZhiHui Lu, Qiang Duan, Changze Lv, Xin Du, Zeyi Deng, Jingqi Feng, Sen Liu, Yang Chen, Xin Wang
2026WWWMASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices.Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng
2025ACLMulti-Programming Language Sandbox for LLMs.Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, Wenyu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2025ACLTell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing.Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang
2025ACLTripTailor: A Real-World Benchmark for Personalized Travel Planning.Kaimin Wang, Yuanzhe Shen, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
2025ACLBeyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation.Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng
2025ACLImproving Continual Pre-training Through Seamless Data Packing.Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang
2025CogSciSpikeBERT: A Language Understanding Spiking Neural Network Learned from BERT with Knowledge Distillation.Changze Lv, Tianlong Li, Xiaohua Wang, Muling Wu, Wenhao Liu, Shihan Dou, Xiaoqing Zheng, Xuanjing Huang
2025COLINGRevisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective.Tianlong Li, Zhenghua Wang, Wenhao Liu, Muling Wu, Shihan Dou, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang
2025EMNLPUPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation.Tianlong Li, Wenhao Liu, Muling Wu, Shihan Dou, Zhenghua Wang, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang
2025EMNLPEnhancing Model Privacy in Federated Learning with Random Masking and Quantization.Zhibo Xu, Jianhao Zhu, Jingwen Xu, Changze Lv, Zhenghua Wang, Zisu Huang, Xiaohua Wang, Muling Wu, Qi Qian, Xiaoqing Zheng, Xuanjing Huang
2025ICMLDendritic Localized Learning: Toward Biologically Plausible Algorithm.Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang
2025IJCAIECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks.Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng
2025IJCAICost-Effective On-Device Sequential Recommendation with Spiking Neural Networks.Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng
2024ACLAligning Large Language Models with Human Preferences through Representation Engineering.Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
2024ACLAdvancing Parameter Efficiency in Fine-tuning via Representation Editing.Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
2024EMNLPSearching for Best Practices in Retrieval-Augmented Generation.Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
2024EMNLPPromoting Data and Model Privacy in Federated Learning through Quantized LoRA.Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
2024ICMLEfficient and Effective Time-Series Forecasting with Spiking Neural Networks.Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2023EMNLPParameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts.Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang
2023ICLRSpiking Convolutional Neural Networks for Text Classification.Changze Lv, Jianhan Xu, Xiaoqing Zheng