| 2026 | AAAI | SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement. | Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu |
| 2026 | AAAI | Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation. | Shuting Jiang, Ran Song, Yuxin Huang, Yan Xiang, Yantuan Xian, Shengxiang Gao, Zhengtao Yu |
| 2026 | AAAI | Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. | Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao |
| 2026 | AAAI | RPGen: Robust and Differentially Private Synthetic Image Generation. | Zihao Wang, Hao Peng, Wei Dong, Yuecen Wei, Li Sun, Zhengtao Yu |
| 2026 | ACL | On the Emotion Understanding of Synthesized Speech. | Yuan Ge, Haishu Zhao, Aokai Hao, Junxiang Zhang, Bei Li, Xiaoqian Liu, Chenglong Wang, Jianjin Wang, Bingsen Zhou, Bingyu Liu, JingBo Zhu, Zhengtao Yu, Tong Xiao |
| 2026 | ACL | SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models. | Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Changxiaojia, JingBo Zhu, Zhengtao Yu, Tong Xiao |
| 2026 | ACL | Breaking Consensus Bias: Unsupervised Reinforcement Learning for Machine Translation. | Shuting Jiang, Ran Song, Siqi Zhang, Yuxin Huang, Shengxiang Gao, Zhengtao Yu |
| 2026 | ACL | Bypassing Neural Evaluations for Fast Audio Editing via Adaptive Trajectory Extrapolation. | Xiaoqian Liu, Zhengkun Ge, Jianjin Wang, Haoran Zhang, Yuan Ge, Kaiyan Chang, Chen Xu, Tong Xiao, Zhengtao Yu, Linfeng Zhang, JingBo Zhu |
| 2026 | ACL | Activation-Guided Local Editing for Jailbreaking Attacks. | Jiecong Wang, Haoran Li, Hao Peng, Ziqian Zeng, Zihao Wang, Haohua Du, Zhengtao Yu |
| 2026 | ACL | Layer-aware Dual-directional Modulation for Low-resource Machine Translation. | Siqi Zhang, Ran Song, Shuting Jiang, Yuxin Huang, Zhengtao Yu |
| 2026 | DASFAA | Multimodal Crisis Classification via Graph Neural Networks. | Kailing Shen, Hongbin Wang, Yantuan Xian, Junjun Guo, Zhengtao Yu |
| 2025 | AAAI | BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking. | Yuxuan Liu, Hongda Sun, Wenya Guo, Xinyan Xiao, Cunli Mao, Zhengtao Yu, Rui Yan |
| 2025 | AAAI | Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing. | Jianjian Liu, Zhengtao Yu, Ying Li, Yuxin Huang, Shengxiang Gao |
| 2025 | AAAI | Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering. | Zhenqiu Shu, Teng Sun, Yunwei Luo, Zhengtao Yu |
| 2025 | AAAI | SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models. | Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong |
| 2025 | ACL | Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation. | Yuhao Zhang, Xiangnan Ma, Kaiqi Kou, Peizhuo Liu, Weiqiao Shan, Benyou Wang, Tong Xiao, Yuxin Huang, Zhengtao Yu, JingBo Zhu |
| 2025 | EMNLP | GRPO-Guided Modality Selection Enhanced LoRA-Tuned LLMs for Multimodal Emotion Recognition. | Yang Chen, Shuwan Yang, Yan Xiang, Ran Song, Yuxin Huang, Zhengtao Yu |
| 2025 | EMNLP | Multilingual Generative Retrieval via Cross-lingual Semantic Compression. | Yuxin Huang, Simeng Wu, Ran Song, Yan Xiang, Yantuan Xian, Shengxiang Gao, Zhengtao Yu |
| 2025 | EMNLP | Memory-enhanced Large Language Model for Cross-lingual Dependency Parsing via Deep Hierarchical Syntax Understanding. | Jianjian Liu, Ying Li, Zhengtao Yu, Shun Su, Shengxiang Gao, Yuxin Huang |
| 2025 | EMNLP | Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing. | Cunli Mao, Xiaofei Gao, Ran Song, Shizhu He, Shengxiang Gao, Kang Liu, Zhengtao Yu |
| 2025 | EMNLP | 3R: Enhancing Sentence Representation Learning via Redundant Representation Reduction. | Longxuan Ma, Xiao Wu, Yuxin Huang, Shengxiang Gao, Zhengtao Yu |
| 2025 | ICASSP | Universal Low-Resource Speech Synthesis Via Phoneme Fusion Coordinating Low-Rank Decomposition. | Yanliang Li, Zhengtao Yu, Linqin Wang, Shengxiang Gao, Ling Dong, Wenjun Wang |
| 2025 | ICASSP | Voice Conversion via Structural Entropy. | Linqin Wang, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Ling Dong, Yuxin Huang |
| 2025 | IJCNLP | Topology-Aware Gated Graph Neural Network for Social Bot Detection. | Pi Jiebin, Yantuan Xian, Yuxin Huang, Yan Xiang, Ran Song, Zhengtao Yu |
| 2025 | IJCNN | Unsupervised Speech Unit Boundary Detection Guided by Linguistic Rule Knowledge. | Sanlong Jiang, Ling Dong, Wenjun Wang, Zhengtao Yu, Shengxiang Gao |
| 2025 | KDD | Unsupervised Graph Clustering with Deep Structural Entropy. | Jingyun Zhang, Hao Peng, Li Sun, Guanlin Wu, Chunyang Liu, Zhengtao Yu |
| 2025 | NAACL | A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model. | Shengxiang Gao, Fang Nan, Yongbing Zhang, Yuxin Huang, Kaiwen Tan, Zhengtao Yu |
| 2025 | WWW | 2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models. | Jia-Nan Li, Jian Guan, Wei Wu, Zhengtao Yu, Rui Yan |
| 2025 | WWW | Community Detection in Large-Scale Complex Networks via Structural Entropy Game. | Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu |
| 2024 | AAAI | Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. | Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2024 | AAAI | Hypergraph Neural Architecture Search. | Wei Lin, Xu Peng, Zhengtao Yu, Taisong Jin |
| 2024 | ACL | Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model. | Zhiwei Li, Ran Song, Caihong Sun, Wei Xu, Zhengtao Yu, Ji-Rong Wen |
| 2024 | EMNLP | "In-Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning. | Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan |
| 2024 | EMNLP | Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing. | Ying Li, Jianjian Liu, Zhengtao Yu, Shengxiang Gao, Yuxin Huang, Cunli Mao |
| 2024 | EMNLP | Does Large Language Model Contain Task-Specific Neurons? | Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu |
| 2024 | ICASSP | DETS: End-to-End Single-Stage Text-to-Speech Via Hierarchical Diffusion Gan Models. | Linqin Wang, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang |
| 2024 | IJCNN | Decoupling-Enhanced Vietnamese Speech Recognition Accent Adaptation Supervised by Prosodic Domain Information. | Yanwen Fang, Wenjun Wang, Ling Dong, Shengxiang Gao, Hua Lai, Zhengtao Yu |
| 2024 | IJCNN | Knowledge-Guided Reinforcement Learning for Low-Resource Unsupervised Syllabification. | Wenjun Wang, Ling Dong, Zhengtao Yu, Yuxin Huang, Junjun Guo, Shengxiang Gao |
| 2024 | Interspeech | Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR. | Ling Dong, Zhengtao Yu, Wenjun Wang, Yuxin Huang, Shengxiang Gao, Guojiang Zhou |
| 2024 | Interspeech | DGSRN: Noise-Robust Speech Recognition Method with Dual-Path Gated Spectral Refinement Network. | Wenjun Wang, Shangbin Mo, Ling Dong, Zhengtao Yu, Junjun Guo, Yuxin Huang |
| 2024 | WWW | RicciNet: Deep Clustering via A Riemannian Generative Model. | Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2024 | SDM | Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. | Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu |
| 2023 | ACL | Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. | Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao |
| 2023 | EMNLP | Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling. | Linqin Wang, Zhengtao Yu, Yuanzhang Yang, Shengxiang Gao, Cunli Mao, Yuxin Huang |
| 2023 | ICCV | Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. | Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu |
| 2023 | ICDM | DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. | Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2022 | COLING | Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. | Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao |
| 2022 | COLING | Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation. | Junjie Ye, Junjun Guo, Yan Xiang, Kaiwen Tan, Zhengtao Yu |
| 2021 | ACL | Semantic Relation-aware Difference Representation Learning for Change Captioning. | Yunbin Tu, Tingting Yao, Liang Li, Jiedong Lou, Shengxiang Gao, Zhengtao Yu, Chenggang Yan |
| 2021 | EMNLP | R\^3Net: Relation-embedded Representation Reconstruction Network for Change Captioning. | Yunbin Tu, Liang Li, Chenggang Yan, Shengxiang Gao, Zhengtao Yu |
| 2019 | IJCAI | Sharing Attention Weights for Fast Transformer. | Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu |
| 2017 | IWQoS | When privacy meets economics: Enabling differentially-private battery-supported meter reporting in smart grid. | Zijian Zhang, Wenqiang Cao, Zhan Qin, Liehuang Zhu, Zhengtao Yu, Kui Ren |
| 2016 | ICNC | Construction of Khmer entity annotation corpus based on constrained conditional random fields. | Shuhui Huang, Xin Yan, Zhengtao Yu, Qingling Lei |
| 2016 | ICNC | Building vietnamese dependency treebank based on Chinese-Vietnamese bilingual word alignment. | Ying Li, Jianyi Guo, Zhengtao Yu, Hongbin Wang, Yonghua Wen |
| 2016 | IJCNN | An expert disambiguation method based on attributed graph clustering. | Shengxiang Gao, Zhuo Wang, Zhengtao Yu, Jin Jiang, Lin Wu |
| 2016 | SIGIR | Retrieving Non-Redundant Questions to Summarize a Product Review. | Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu |
| 2014 | ICDM | A Standard Bibliography Recommended Method Based on Topic Model and Fusion of Multi-feature. | Fa Shao, Yan-Tuan Xian, Jianyi Guo, Zhengtao Yu, Cunli Mao |
| 2012 | APWEB | Research on Semantic Label Extraction of Domain Entity Relation Based on CRF and Rules. | Jianyi Guo, Jun Zhao, Zhengtao Yu, Lei Su, Nianshu Jiang |
| 2012 | WSDM | Mining contrastive opinions on political texts using cross-perspective topic model. | Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu |
| 2009 | CIS | Research on Answer Extraction Method for Domain Question Answering System(QA). | Cunli Mao, Lina Li, Zhengtao Yu, Lu Han, Jianyi Guo, Xiong-Li Lei |
| 2009 | ISNN | Semi-supervised Learning with Multimodal Perturbation. | Lei Su, Hongzhi Liao, Zhengtao Yu, Jiahua Tang |
| 2007 | DAC | Design of Rotary Clock Based Circuits. | Zhengtao Yu, Xun Liu |
| 2007 | ICCS | Answer Extracting Based on Passage Retrieval in Chinese Question Answering System. | Zhengtao Yu, Lu Han, Cunli Mao, Yunwei Li, Yanxia Qiu, Xiangyan Meng |