Changze Lv

According to our database, Changze Lv authored at least 54 papers between 2023 and 2026.

Collaborative distances:

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

2026

AMix-2: Establishing Protein as a Native Modality in Large Language Models.

Keyue Qiu, Yixin Wu, Lihao Wang, Yawen Ouyang, Jixiang Yu, Zihan Zhou, Changze Lv, Dongyu Xue, Yuxuan Song, Xinbo Zhang, Hao Wang, Jiangtao Feng, Zhiqiang Gao, Lijun Wu, Xiaoqing Zheng, Ka-Chun Wong, Lei Bai, Ya-Qin Zhang, Wei-Ying Ma, Dahua Lin, Bowen Zhou, Hao Zhou

CoRR, May, 2026

From Static Context to Calibrated Interactive RL: Mitigating Distribution Shift in Multi-turn Dialogue with Aligned Simulator.

Xiaohua Wang, Jiakang Yuan, Zisu Huang, Muzhao Tian, Changze Lv, Kaitao Song, Tao Chen, Xiaoqing Zheng

CoRR, May, 2026

From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills.

Zisu Huang, Jingwen Xu, Yifan Yang, Ziyang Gong, Qihao Yang, Muzhao Tian, Xiaohua Wang, Changze Lv, Xuemei Gao, Qi Dai, Bei Liu, Kai Qiu, Xue Yang, Dongdong Chen, Xiaoqing Zheng, Chong Luo

CoRR, May, 2026

Frequency Matching in Spiking Neural Networks for mmWave Sensing.

Di Yu, Zhenyu Liao, Changze Lv, Wentao Tong, Linshan Jiang, Sijie Ji, Xin Du, Hailiang Zhao, Xiaoqing Zheng, Shuiguang Deng

CoRR, May, 2026

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization.

Kaiwen Tang, Di Yu, Jiaqi Zheng, Changze Lv, Qianhui Liu, Zhanglu Yan, Weng-Fai Wong

CoRR, May, 2026

CL-bench Life: Can Language Models Learn from Real-Life Context?

Shihan Dou, Yujiong Shen, Chenhao Huang, Junjie Ye, Jiayi Chen, Junzhe Wang, Qianyu He, Shichun Liu, Changze Lv, Jiahang Lin, Jiazheng Zhang, Ming Zhang, Shaofan Liu, Tao Ji, Zhangyue Yin, Cheng Zhang, Huaibing Xie, Jianglu Hu, Jingcheng Deng, Lincheng Li, Minda Hu, Shaolei Wang, Syrus Zhao, Weichao Wang, Yan Lei, Yang Liu, Yanling Xiao, Yiting Liu, Zenan Xu, Zhen Guo, Ziliang Zhao, Pluto Zhou, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Di Wang, Shunyu Yao

CoRR, April, 2026

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges.

Xiaohua Wang, Muzhao Tian, Yuqi Zeng, Zisu Huang, Jiakang Yuan, Bowen Chen, Jingwen Xu, Mingbo Zhou, Wenhao Liu, Muling Wu, Zhengkang Guo, Qi Qian, Yifei Wang, Feiran Zhang, Ruicheng Yin, Shihan Dou, Changze Lv, Tao Chen, Kaitao Song, Xu Tan, Tao Gui, Xiaoqing Zheng, Xuanjing Huang

CoRR, April, 2026

Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation.

Changze Lv, Jie Zhou, Wentao Zhao, Jingwen Xu, Zisu Huang, Muzhao Tian, Shihan Dou, Tao Gui, Le Tian, Xiao Zhou, Xiaoqing Zheng, Xuanjing Huang, Jie Zhou

CoRR, February, 2026

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation.

Jingwen Xu, Yiyang Lu, Zisu Huang, Changze Lv, Xiaohua Wang, Shizheng Li, Zhibo Xu, Zhengkang Guo, Zhengyuan Wang, Muzhao Tian, Xuanjing Huang, Xiaoqing Zheng

CoRR, February, 2026

Parallel Training in Spiking Neural Networks.

Yanbin Huang, Man Yao, Yuqi Pan, Changze Lv, Siyuan Xu, Xiaoqing Zheng, Bo Xu, Guoqi Li

CoRR, February, 2026

VIB-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

CoRR, January, 2026

Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction.

Muzhao Tian, Zisu Huang, Xiaohua Wang, Jingwen Xu, Zhengkang Guo, Qi Qian, Yuanzhe Shen, Kaitao Song, Jiakang Yuan, Changze Lv, Xiaoqing Zheng

CoRR, January, 2026

CSSG: Measuring Code Similarity with Semantic Graphs.

Yiyang Lu, Jingwen Xu, Changze Lv, Zisu Huang, Zhengkang Guo, Zhengyuan Wang, Muzhao Tian, Xuanjing Huang, Xiaoqing Zheng

CoRR, January, 2026

Benchmark^2: Systematic Evaluation of LLM Benchmarks.

Qi Qian, Chengsong Huang, Jingwen Xu, Changze Lv, Muling Wu, Wenhao Liu, Xiaogang Wang, Zhenghua Wang, Zisu Huang, Muzhao Tian, Jianhan Xu, Kun Hu, He-Da Wang, Yao Hu, Xuanjing Huang, Xiaoqing Zheng

CoRR, January, 2026

SpikeBERT: A language spikformer learned from BERT with knowledge distillation.

Changze Lv, Tianlong Li, Weiming Qiao, Xiaohua Wang, Muling Wu, Wenhao Liu, Shihan Dou, Xiaoqing Zheng, Xuanjing Huang

Neural Networks, 2026

MASI: 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

Proceedings of the ACM Web Conference 2026, 2026

Explainable 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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network.

Huijing Zhang, Muyang Cao, Linshan Jiang, Xin Du, Di Yu, Changze Lv, Shuiguang Deng

CoRR, October, 2025

Biologically Plausible Learning via Bidirectional Spike-Based Distillation.

Changze Lv, Yifei Wang, Yanxun Zhang, Yiyang Lu, Jingwen Xu, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng

CoRR, September, 2025

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization.

Zhibo Xu, Jianhao Zhu, Jingwen Xu, Changze Lv, Zisu Huang, Xiaohua Wang, Muling Wu, Qi Qian, Xiaoqing Zheng, Xuanjing Huang

CoRR, August, 2025

SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration.

Bang Hu, Changze Lv, Mingjie Li, Yunpeng Liu, Xiaoqing Zheng, Fengzhe Zhang, Wei cao, Fan Zhang

CoRR, August, 2025

STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers.

Zeqi Zheng, Zizheng Zhu, Yingchao Yu, Yanchen Huang, Changze Lv, Junfeng Tang, Zhaofei Yu, Yaochu Jin

CoRR, August, 2025

Edge Intelligence with Spiking Neural Networks.

Shuiguang Deng, Di Yu, Changze Lv, Xin Du, Linshan Jiang, Xiaofan Zhao, Wentao Tong, Xiaoqing Zheng, Weijia Fang, Peng Zhao, Gang Pan, Schahram Dustdar, Albert Y. Zomaya

CoRR, July, 2025

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model.

Changze Lv, Jiang Zhou, Siyu Long, Lihao Wang, Jiangtao Feng, Dongyu Xue, Yu Pei, Hao Wang, Zherui Zhang, Yuchen Cai, Zhiqiang Gao, Ziyuan Ma, Jiakai Hu, Chaochen Gao, Jingjing Gong, Yuxuan Song, Shuyi Zhang, Xiaoqing Zheng, Deyi Xiong, Lei Bai, Wanli Ouyang, Ya-Qin Zhang, Wei-Ying Ma, Bowen Zhou, Hao Zhou

CoRR, July, 2025

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning.

Muling Wu, Qi Qian, Wenhao Liu, Xiaohua Wang, Zisu Huang, Di Liang, Li Miao, Shihan Dou, Changze Lv, Zhenghua Wang, Zhibo Xu, Lina Chen, Tianlong Li, Xiaoqing Zheng, Xuanjing Huang

CoRR, June, 2025

RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data.

Wenhao Liu, Zhengkang Guo, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Muling Wu, Xiaohua Wang, Changze Lv, He-Da Wang, Hu Yao, Xiaoqing Zheng, Xuanjing Huang

CoRR, May, 2025

Layer-Specific Scaling of Positional Encodings for Superior Long-Context Modeling.

Zhenghua Wang, Yiran Ding, Changze Lv, Zhibo Xu, Tianlong Li, Tianyuan Shi, Xiaoqing Zheng, Xuanjing Huang

CoRR, March, 2025

SpikeCLIP: A contrastive language-image pretrained spiking neural network.

Changze Lv, Tianlong Li, Wenhao Liu, Yufei Gu, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang

Neural Networks, 2025

Toward Relative Positional Encoding in Spiking Transformers.

Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Cost-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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ECC-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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Dendritic 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

UPLex: 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Revisiting 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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

SpikeBERT: 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

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Improving Continual Pre-training Through Seamless Data Packing.

Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation.

Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TripTailor: A Real-World Benchmark for Personalized Travel Planning.

Kaimin Wang, Yuanzhe Shen, Changze Lv, Xiaoqing Zheng, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Tell 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Multi-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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024

Multi-Programming Language Sandbox for LLMs.

Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, Wenyu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang

CoRR, 2024

Towards Biologically Plausible Computing: A Comprehensive Comparison.

Changze Lv, Yufei Gu, Zhengkang Guo, Zhibo Xu, Yixin Wu, Feiran Zhang, Tianyuan Shi, Zhenghua Wang, Ruicheng Yin, Yu Shang, Siqi Zhong, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Jianhao Zhu, Cenyuan Zhang, Zixuan Ling, Xiaoqing Zheng

CoRR, 2024

Decoding Continuous Character-based Language from Non-invasive Brain Recordings.

Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng

CoRR, 2024

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.

Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.

Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Promoting 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

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

Searching 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Aligning 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network.

Tianlong Li, Wenhao Liu, Changze Lv, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang

CoRR, 2023

SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT.

Changze Lv, Tianlong Li, Jianhan Xu, Chenxi Gu, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang

CoRR, 2023

Spiking Convolutional Neural Networks for Text Classification.

Changze Lv, Jianhan Xu, Xiaoqing Zheng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Parameter 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

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