Query Optimization in Database Grid. - Xiaoqing Zheng; Huajun Chen; Zhaohui Wu 001; Yuxin Mao (GCC, 2005)

An Interactive Visual Model for Web Ontologies. - Yuxin Mao; Zhaohui Wu 001; Huajun Chen; Xiaoqing Zheng (KES (2), 2005)

A Reputation-Chain Trust Model for the Semantic Web. - Yu Zhang 008; Huajun Chen; Zhaohui Wu 001; Xiaoqing Zheng (AINA (2), 2006)

Concept Map Model for Web Ontology Exploration. - Yuxin Mao; Zhaohui Wu 001; Huajun Chen; Xiaoqing Zheng (APWeb, 2006)

A Computational Trust Model for Semantic Web Based on Bayesian Decision Theory. - Xiaoqing Zheng; Huajun Chen; Zhaohui Wu 001; Yu Zhang 008 (APWeb, 2006)

Developing a composite trust model for multi-agent systems. - Xiaoqing Zheng; Zhaohui Wu 001; Huajun Chen; Yuxin Mao (AAMAS, 2006)

Knowledge Fusion in Semantic Grid. - Xiaoqing Zheng; Zhaohui Wu 001; Huajun Chen (GCC, 2006)

Develop a Computational Trust Prototype for the Semantic Web. - Yu Zhang 008; Huajun Chen; Zhaohui Wu 001; Xiaoqing Zheng (ICDE Workshops, 2006)

A Scalable Probabilistic Approach to Trust Evaluation. - Xiaoqing Zheng; Zhaohui Wu 001; Huajun Chen; Yuxin Mao (iTrust, 2006)

Dynamic Query Optimization Approach for Semantic Database Grid. - Xiaoqing Zheng; Huajun Chen; Zhaohui Wu 001; Yuxin Mao (J. Comput. Sci. Technol., 2006)

Towards Semantic e-Science for Traditional Chinese Medicine. - Huajun Chen; Yuxin Mao; Xiaoqing Zheng; Meng Cui; Yi Feng 004; ShuiGuang Deng; Aining Yin; Chunying Zhou; Jingming Tang; Xiaohong Jiang 002; Zhaohui Wu 001 (BMC Bioinform., 2007)

Decision Under Insufficient Evidence: A Scalable Probabilistic Way. - Xiaoqing Zheng; Hongjun Zhang; Feng Zhou (SKG, 2010)

A service-oriented travel portal and engineering platform. - Yinsheng Li; Han Chen; Xiaoqing Zheng; Chen-Fang Tsai; Jen-Hsiang Chen; Nazaraf Shah (Expert Syst. Appl., 2011)

Combining description logics and Horn rules with uncertainty in ARTIGENCE. - Xiaoqing Zheng (Knowl. Based Syst., 2011)

Using fuzzy logic to discriminate convective and statiform precipitation in Doppler weather radar. - Xu Wang; Xiaoqing Zheng; Jianxin He; Xuehua Li (FSKD, 2012)

Data extraction from web pages based on structural-semantic entropy. - Xiaoqing Zheng; Yiling Gu; Yinsheng Li (WWW (Companion Volume), 2012)

SPARQL Query Mediation over RDF Data Sources with Disparate Contexts. - Xiaoqing Zheng; Stuart E. Madnick; Xitong Li (LDOW, 2012)

Deep Learning for Chinese Word Segmentation and POS Tagging. - Xiaoqing Zheng; Hanyang Chen; Tianyu Xu (EMNLP, 2013)

Character-Based Parsing with Convolutional Neural Network. - Xiaoqing Zheng; Haoyuan Peng; Yi Chen; Pengjing Zhang; Wenqiang Zhang (IJCAI, 2015)

A Deep Neural Network for Modeling Music. - Pengjing Zhang; Xiaoqing Zheng; Wenqiang Zhang; Siyan Li; Sheng Qian; Wenqi He; Shangtong Zhang; Ziyuan Wang (ICMR, 2015)

Context-Specific and Multi-Prototype Character Representations. - Xiaoqing Zheng; Jiangtao Feng; Mengxiao Lin; Wenqiang Zhang (IJCAI, 2016)

The optimization of beer recipe based on an improved ant colony optimization. - Song Zheng; Xiaoqing Zheng; Chunlin Wang (SNPD, 2016)

Learning Context-Specific Word/Character Embeddings. - Xiaoqing Zheng; Jiangtao Feng; Yi Chen; Haoyuan Peng; Wenqing Zhang (AAAI, 2017)

Incremental Graph-based Neural Dependency Parsing. - Xiaoqing Zheng (EMNLP, 2017)

Research on identification technology of ship radiated noise and marine biological noise. - Weizheng Zhang; Xiaoqing Zheng; Rijie Yang; Jianhui Han (ICSPCC, 2017)

Geometric Relationship between Word and Context Representations. - Jiangtao Feng; Xiaoqing Zheng (AAAI, 2018)

Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing. - Haoyuan Peng; Lu Liu; Yi Zhou 018; Junying Zhou; Xiaoqing Zheng (AAAI, 2018)

RNN-Based Sequence-Preserved Attention for Dependency Parsing. - Yi Zhou 018; Junying Zhou; Lu Liu; Jiangtao Feng; Haoyuan Peng; Xiaoqing Zheng (AAAI, 2018)

Stock Price movements Prediction with Textual Information. - Wenxing Hong; Weiwei Wang; Yang Weng; Sishu Luo; Pingbo Hu; Xiaoqing Zheng; Jianwei Qi (Mechatron. Syst. Control., 2018)

Generating Responses with a Specific Emotion in Dialog. - Zhenqiao Song; Xiaoqing Zheng; Lu Liu; Mu Xu; Xuanjing Huang 001 (ACL (1), 2019)

Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. - Xiaoqing Zheng; Jiehang Zeng; Yi Zhou 018; Cho-Jui Hsieh; Minhao Cheng; Xuanjing Huang 001 (ACL, 2020)

Cross-Lingual Dependency Parsing by POS-Guided Word Reordering. - Lu Liu; Yi Zhou 018; Jianhan Xu; Xiaoqing Zheng; Kai-Wei Chang; Xuanjing Huang 001 (EMNLP (Findings), 2020)

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples. - Lihao Wang; Xiaoqing Zheng (EMNLP (1), 2020)

Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization. - Song Zheng; Kafei Tang; Shuai Chen; Xiaoqing Zheng (IEEE Access, 2020)

A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection. - Xiaoqing Zheng; Hongcheng Wang; Jie Chen 068; Yaguang Kong; Song Zheng (IEEE Access, 2020)

Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework. - Jiehang Zeng; Lu Liu; Xiaoqing Zheng (CoRR, 2020)

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble. - Yi Zhou 018; Xiaoqing Zheng; Cho-Jui Hsieh; Kai-Wei Chang; Xuanjing Huang 001 (CoRR, 2020)

Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference. - Lu Liu; Zhenqiao Song; Xiaoqing Zheng (CoRR, 2020)

Unsupervised Summarization by Jointly Extracting Sentences and Keywords. - Zongyi Li; Xiaoqing Zheng (CoRR, 2020)

Generating universal language adversarial examples by understanding and enhancing the transferability across neural models. - Liping Yuan; Xiaoqing Zheng; Yi Zhou 018; Cho-Jui Hsieh; Kai-Wei Chang; Xuanjing Huang 001 (CoRR, 2020)

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. - Chong Li; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (ACL/IJCNLP (2), 2021)

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. - Xiao Wang 001; Qin Liu 010; Tao Gui; Qi Zhang 001; Yicheng Zou; Xin Zhou 012; Jiacheng Ye; Yongxin Zhang; Rui Zheng; Zexiong Pang; Qinzhuo Wu; Zhengyan Li; et al. (ACL (demo), 2021)

Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. - Yi Zhou 018; Xiaoqing Zheng; Cho-Jui Hsieh; Kai-Wei Chang; Xuanjing Huang 001 (ACL/IJCNLP (1), 2021)

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. - Zongyi Li; Jianhan Xu; Jiehang Zeng; Linyang Li; Xiaoqing Zheng; Qi Zhang 001; Kai-Wei Chang; Cho-Jui Hsieh (EMNLP (1), 2021)

On the Transferability of Adversarial Attacks against Neural Text Classifier. - Liping Yuan; Xiaoqing Zheng; Yi Zhou 018; Cho-Jui Hsieh; Kai-Wei Chang (EMNLP (1), 2021)

A deep learning-based approach for the automated surface inspection of copper clad laminate images. - Xiaoqing Zheng; Jie Chen 068; Hongcheng Wang; Song Zheng; Yaguang Kong (Appl. Intell., 2021)

Unsupervised Word Segmentation with Bi-directional Neural Language Model. - Lihao Wang; Zongyi Li; Xiaoqing Zheng (CoRR, 2021)

SparseGAN: Sparse Generative Adversarial Network for Text Generation. - Liping Yuan; Jiehang Zeng; Xiaoqing Zheng (CoRR, 2021)

Alleviate Exposure Bias in Sequence Prediction with Recurrent Neural Networks. - Liping Yuan; Jiangtao Feng; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2021)

Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. - Jiehang Zeng; Xiaoqing Zheng; Jianhan Xu; Linyang Li; Liping Yuan; Xuanjing Huang 001 (CoRR, 2021)

Jointly learning bilingual word embeddings and alignments. - Zhenqiao Song; Xiaoqing Zheng; Xuanjing Huang 001 (Mach. Transl., 2021)

Generating Responses With a Given Syntactic Pattern in Chinese Dialogues. - Yi Zhou 018; Xiaoqing Zheng; Xuanjing Huang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. - Jianhan Xu; Cenyuan Zhang; Xiaoqing Zheng; Linyang Li; Cho-Jui Hsieh; Kai-Wei Chang; Xuanjing Huang 001 (ACL (Findings), 2022)

Improving the Adversarial Robustness of NLP Models by Information Bottleneck. - Cenyuan Zhang; Xiang Zhou; Yixin Wan; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh (ACL (Findings), 2022)

Weight Perturbation as Defense against Adversarial Word Substitutions. - Jianhan Xu; Linyang Li; Jiping Zhang; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh; Xuanjing Huang 001 (EMNLP (Findings), 2022)

Regularized Molecular Conformation Fields. - Lihao Wang; Yi Zhou 018; Yiqun Wang; Xiaoqing Zheng; Xuanjing Huang 001; Hao Zhou 012 (NeurIPS, 2022)

Watermarking Pre-trained Language Models with Backdooring. - Chenxi Gu; Chengsong Huang; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh (CoRR, 2022)

Learning structured embeddings of knowledge graphs with generative adversarial framework. - Lu Liu; Jiehang Zeng; Xiaoqing Zheng (Expert Syst. Appl., 2022)

Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings. - Yusi Qi; Xiaoqing Zheng; Xuanjing Huang 001 (Knowl. Inf. Syst., 2022)

An Approach for Time Synchronization of Wireless Accelerometer Sensors Using Frequency-Squeezing-Based Operational Modal Analysis. - Yi Chen; Xiaoqing Zheng; Yaozhi Luo; Yanbin Shen; Yu Xue; Wenwei Fu (Sensors, 2022)

Uncertainty-Aware Sequence Labeling. - Jiacheng Ye; Xiang Zhou; Xiaoqing Zheng; Tao Gui; Qi Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. - Hua Cai; Xuli Shen; Qing Xu 017; Weilin Shen; Xiaomei Wang; Weifeng Ge; Xiaoqing Zheng; Xiangyang Xue 001 (ACL (Findings), 2023)

TableVLM: Multi-modal Pre-training for Table Structure Recognition. - Leiyuan Chen; Chengsong Huang; Xiaoqing Zheng; Jinshu Lin; Xuanjing Huang 001 (ACL (1), 2023)

Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. - Zixuan Ling; Xiaoqing Zheng; Jianhan Xu; Jinshu Lin; Kai-Wei Chang; Cho-Jui Hsieh; Xuanjing Huang 001 (ACL (Findings), 2023)

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. - Chenxi Gu; Xiaoqing Zheng; Jianhan Xu; Muling Wu; Cenyuan Zhang; Chengsong Huang; Hua Cai; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. - Xiaohua Wang; Yuliang Yan; Longtao Huang; Xiaoqing Zheng; Xuanjing Huang 001 (EMNLP, 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 001 (EMNLP (Findings), 2023)

Measure Children's Mindreading Ability with Machine Reading. - Yuliang Yan; Xiaohua Wang; Xiang Zhou; Xiaoqing Zheng; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Spiking Convolutional Neural Networks for Text Classification. - Changze Lv; Jianhan Xu; Xiaoqing Zheng (ICLR, 2023)

Spinal Nerve Segmentation Method and Dataset Construction in Endoscopic Surgical Scenarios. - Shaowu Peng; Pengcheng Zhao; Yongyu Ye; Junying Chen; Yunbing Chang; Xiaoqing Zheng (MICCAI (9), 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 001 (CoRR, 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 001 (CoRR, 2023)

Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons. - Tianlong Li; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2023)

On challenges of AI to cognitive security and safety. - Ruiyang Huang; Xiaoqing Zheng; Yuting Shang; Xiangyang Xue 001 (Secur. Saf., 2023)

Unsupervised Word Segmentation with Bi-directional Neural Language Model. - Lihao Wang; Xiaoqing Zheng (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Building Conventional "Experts" With a Dialogue Logic Programming Language. - Xiaoqing Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. - Jiehang Zeng; Jianhan Xu; Xiaoqing Zheng; Xuanjing Huang 001 (Comput. Linguistics, 2023)

Chinese Named Entity Recognition Augmented with Lexicon Memory. - Yi Zhou 018; Xiaoqing Zheng; Xuanjing Huang 001 (J. Comput. Sci. Technol., 2023)

Research on efficient and accurate computing strategies for complex optimal control problems. - Aipeng Jiang; Qiuyun Huang; Yun Chen; Yudong Xia; Xiaoqing Zheng; Qiang Ding (Int. J. Control, 2023)

Few-shot intelligent fault diagnosis based on an improved meta-relation network. - Xiaoqing Zheng; Changyuan Yue; Jiang Wei; Anke Xue; Ming Ge; Yaguang Kong (Appl. Intell., 2023)

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 001 (ACL (1), 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 001 (ACL (1), 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; et al. (EMNLP, 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 001 (EMNLP (Findings), 2024)

Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space. - Yufei Gu; Xiaoqing Zheng; Tomaso Aste (ICLR, 2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. - Changze Lv; Yansen Wang; Dongqi Han; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (ICML, 2024)

Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images. - Wenlin Li; Yucheng Xu; Xiaoqing Zheng; Suoya Han; Jun Wang 018; Xiaobo Sun (ACM Multimedia, 2024)

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. - Changze Lv; Dongqi Han; Yansen Wang; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (NeurIPS, 2024)

Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering. - Tianlong Li; Xiaoqing Zheng; Xuanjing Huang 001 (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 001; Miao Cao; Jianfeng Feng (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; et al. (CoRR, 2024)

Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement. - Zisu Huang; Xiaohua Wang; Feiran Zhang; Zhibo Xu; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2024)

Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images. - Wenlin Li; Yucheng Xu; Xiaoqing Zheng; Suoya Han; Jun Wang; Xiaobo Sun (CoRR, 2024)

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; Xiaoqing Zheng; Di Yin; Xing Sun 001; Xuanjing Huang 001 (CoRR, 2024)

A feature space class balancing strategy-based fault classification method in solar photovoltaic modules. - Shizhen Wu; Yaguang Kong; Ruidong Xu; Yunfei Guo; Zhangping Chen; Xiaoqing Zheng (Eng. Appl. Artif. Intell., 2024)

Zero-Shot Compound Fault Diagnosis Method Using Semantic Construction and Embedding. - Honghuan Chen; Jian Hong; Cong Cheng; Yaguang Kong; Xiaoqing Zheng (IEEE Trans. Instrum. Meas., 2024)

Few-Shot Fault Diagnosis Based on an Attention-Weighted Relation Network. - Li Xue; Aipeng Jiang; Xiaoqing Zheng; Yanying Qi; Lingyu He; Yan Wang (Entropy, 2024)

Multi-Head Self-Attention-Based Fully Convolutional Network for RUL Prediction of Turbofan Engines. - Zhaofeng Liu; Xiaoqing Zheng; Anke Xue; Ming Ge; Aipeng Jiang (Algorithms, 2024)

Crowd Counting Based on Multiscale Spatial Guided Perception Aggregation Network. - Zhangping Chen; Shuo Zhang; Xiaoqing Zheng; Xiaodong Zhao; Yaguang Kong (IEEE Trans. Neural Networks Learn. Syst., 2024)

FastMCTS: A Simple Sampling Strategy for Data Synthesis. - Peiji Li; Kai Lv 001; Yunfan Shao; Yichuan Ma; Linyang Li; Xiaoqing Zheng; Xipeng Qiu; Qipeng Guo (ACL (1), 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 001; Xuanjing Huang 001 (ACL (Findings), 2025)

TripTailor: A Real-World Benchmark for Personalized Travel Planning. - Kaimin Wang; Yuanzhe Shen; Changze Lv; Xiaoqing Zheng; Xuanjing Huang 001 (ACL (Findings), 2025)

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation. - Haozhe Xu; Xiaohua Wang; Changze Lv; Xiaoqing Zheng (ACL (1), 2025)

Improving Continual Pre-training Through Seamless Data Packing. - Ruicheng Yin; Xuan Gao; Changze Lv; Xiaohua Wang; Xiaoqing Zheng; Xuanjing Huang 001 (ACL (Findings), 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 001 (COLING, 2025)

MW-FixMatch: A class imbalance semi-supervised learning algorithm based on re-weighting. - Xiaoqing Zheng; Weijie Hong; Dengde Chen; Anke Xue; Yaguang Kong (Neurocomputing, 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 001 (Neural Networks, 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 001 (CoRR, 2025)

Toward Relative Positional Encoding in Spiking Transformers. - Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen; Xiaoqing Zheng; Xuanjing Huang 001; Dongsheng Li 002 (CoRR, 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 001 (CoRR, 2025)

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 001 (CoRR, 2025)

Chain-of-Model Learning for Language Model. - Kaitao Song; Xiaohua Wang; Xu Tan 003; Huiqiang Jiang; Chengruidong Zhang; Yongliang Shen 001; Cen LU; Zihao Li 006; Zifan Song; Caihua Shan; Yansen Wang; Kan Ren; et al. (CoRR, 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; et al. (CoRR, 2025)

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. - Di Yu 001; Changze Lv; Xin Du 002; Linshan Jiang; Wentao Tong; Zhenyu Liao; Xiaoqing Zheng; Shuiguang Deng (CoRR, 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; et al. (CoRR, 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; et al. (CoRR, 2025)

Edge Intelligence with Spiking Neural Networks. - Shuiguang Deng; Di Yu 001; Changze Lv; Xin Du 002; Linshan Jiang; Xiaofan Zhao; Wentao Tong; Xiaoqing Zheng; Weijia Fang; Peng Zhao 023; Gang Pan 001; Schahram Dustdar; et al. (CoRR, 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, 2025)