MRTS traction power supply system simulation using Matlab/Simulink. - Di Yu; K. L. Lo; Xiaodong Wang; Xiaobao Wang (VTC Spring, 2002)

A 90 nm FPGA I/O buffer design with 1.6 Gbps data rate for source-synchronous system and 300 MHz clock rate for external memory interface. - Jeffrey Tyhach; Bonnie Wang; Chiakang Sung; Joseph Huang; Khai Nguyen; Xiaobao Wang; Yan Chong; Philip Pan; Henry Kim; Gopinath Rangan; Tzung-Chin Chang; Johnson Tan (CICC, 2004)

A 90-nm FPGA I/O buffer design with 1.6-Gb/s data rate for source-synchronous system and 300-MHz clock rate for external memory interface. - Jeffrey Tyhach; Bonnie Wang; Chiakang Sung; Joseph Huang; Khai Nguyen; Xiaobao Wang; Yan Chong; Philip Pan; Henry Kim; Gopinath Rangan; Tzung-Chin Chang; Johnson Tan (IEEE J. Solid State Circuits, 2005)

Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. - Dongxiao He; Zhiyong Feng 002; Di Jin 001; Xiaobao Wang; Weixiong Zhang (AAAI, 2017)

Identification of Generalized Communities with Semantics in Networks with Content. - Di Jin 001; Xiaobao Wang; Dongxiao He; Wenhuan Lu; Françoise Fogelman-Soulié; Jianwu Dang 001 (ICTAI, 2017)

Field profiling & monitoring of payload transistors in FPGAs. - Da Cheng; Amitava Majumdar 002; Xiaobao Wang; Nui Chong (IOLTS, 2017)

Solution of the Skyrme-Hartree-Fock-Bogolyubovequations in the Cartesian deformed harmonic-oscillator basis. (VIII) hfodd (v2.73y): A new version of the program. - Nicolas Schunck; Jacek Dobaczewski; Wojciech Satula; Pawel Baczyk; J. Dudek; Yuan Gao; Maciej Konieczka; Koichi Sato; Yue Shi; Xiaobao Wang; T. R. Werner (Comput. Phys. Commun., 2017)

Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. - Di Jin 001; Xiaobao Wang; Ruifang He; Dongxiao He; Jianwu Dang 001; Weixiong Zhang (AAAI, 2018)

Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. - Xiaobao Wang; Di Jin 001; Mengquan Liu; Dongxiao He; Katarzyna Musial; Jianwu Dang 001 (CIKM, 2019)

Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. - Xiaobao Wang; Di Jin 001; Katarzyna Musial; Jianwu Dang 001 (AAAI, 2020)

Identification of Generalized Semantic Communities in Large Social Networks. - Di Jin 001; Xiaobao Wang; Mengquan Liu; Jianguo Wei; Wenhuan Lu; Françoise Fogelman-Soulié (IEEE Trans. Netw. Sci. Eng., 2020)

Robust Detection of Link Communities With Summary Description in Social Networks. - Di Jin 001; Xiaobao Wang; Dongxiao He; Jianwu Dang 001; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training. - Jiaxu He; Cheng Gong; Longbiao Wang; Di Jin 001; Xiaobao Wang; Junhai Xu; Jianwu Dang 001 (INTERSPEECH, 2022)

Inflation Improves Graph Neural Networks. - Dongxiao He; Rui Guo; Xiaobao Wang; Di Jin 001; Yuxiao Huang; Wenjun Wang 002 (WWW, 2022)

Instance Segmentation Based on Improved Self-Adaptive Normalization. - Sen Yang; Xiaobao Wang; Qijuan Yang; Enzeng Dong; Shengzhi Du (Sensors, 2022)

A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism. - Dongxiao He; Huixin Liu; Zhiyong Feng 002; Xiaobao Wang; Di Jin 001; Wenze Song; Yuxiao Huang (IEEE Trans. Big Data, 2022)

Identification of Communities With Multi-Semantics via Bayesian Generative Model. - Dongxiao He; Yanli Wu; Youyou Wang; Zhizhi Yu; Zhiyong Feng 002; Xiaobao Wang; Yuxiao Huang (IEEE Trans. Big Data, 2022)

Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. - Di Jin 001; Bingdao Feng; Siqi Guo 002; Xiaobao Wang; Jianguo Wei; Zhen Wang 004 (AAAI, 2023)

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. - Xiaobao Wang; Yiqi Dong; Di Jin 001; Yawen Li 001; Longbiao Wang; Jianwu Dang 001 (AAAI, 2023)

Speech and Noise Dual-Stream Spectrogram Refine Network With Speech Distortion Loss For Robust Speech Recognition. - Haoyu Lu; Nan Li; Tongtong Song; Longbiao Wang; Jianwu Dang 001; Xiaobao Wang; Shiliang Zhang (ICASSP, 2023)

Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations. - Lingshan Li; Di Jin 001; Xiaobao Wang; Fengyu Guo; Longbiao Wang; Jianwu Dang 001 (ICTAI, 2023)

A Generalized Deep Markov Random Fields Framework for Fake News Detection. - Yiqi Dong; Dongxiao He; Xiaobao Wang; Yawen Li 001; Xiaowen Su; Di Jin 001 (IJCAI, 2023)

Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. - Zhe Yu; Di Jin 001; Xiaobao Wang; Yawen Li 001; Longbiao Wang; Jianwu Dang 001 (IJCAI, 2023)

Local and Global Context Modeling with Relation Matching Task for Dialog Act Recognition. - Yuke Si; Yan Zhang 004; Yuhang Li; Xiaobao Wang; Longbiao Wang; Jianwu Dang 001; Eng Siong Chng; Haizhou Li 001 (IJCNN, 2023)

Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion. - Yuhang Li; Xiao Wei; Yuke Si; Longbiao Wang; Xiaobao Wang; Jianwu Dang 001 (INTERSPEECH, 2023)

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. - Yiqi Dong; Dongxiao He; Xiaobao Wang; Youzhu Jin; Meng Ge; Carl Yang 001; Di Jin 001 (AAAI, 2024)

Multi-Modal Sarcasm Detection Based on Dual Generative Processes. - Huiying Ma; Dongxiao He; Xiaobao Wang; Di Jin 001; Meng Ge; Longbiao Wang (IJCAI, 2024)

TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System. - Dongxiao He; Jinghan Zhang 010; Xiaobao Wang; Meng Ge; Zhiyong Feng 002; Longbiao Wang; Xiaoke Ma 001 (ACM Multimedia, 2024)

Language-Emphasized Cross-Lingual In-Context Learning for Multilingual LLM. - Junlei Li; Xiao Wei; Xiaobao Wang; Ning Zhuang; Longbiao Wang; Jianwu Dang 001 (NLPCC (3), 2024)

AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations. - Sheng Wu; Jiaxing Liu; Longbiao Wang; Dongxiao He; Xiaobao Wang; Jianwu Dang 001 (CoRR, 2024)

Progressive Residual Extraction based Pre-training for Speech Representation Learning. - Tianrui Wang; Jin Li; Ziyang Ma 001; Rui Cao; Xie Chen 001; Longbiao Wang; Meng Ge; Xiaobao Wang; Yuguang Wang 003; Jianwu Dang 001; Nyima Tashi (CoRR, 2024)

EmoPro: A Prompt Selection Strategy for Emotional Expression in LM-based Speech Synthesis. - Haoyu Wang; Chunyu Qiang; Tianrui Wang; Cheng Gong; Qiuyu Liu; Yu Jiang; Xiaobao Wang; Chenyang Wang; Chen Zhang 013 (CoRR, 2024)

Backdoor attacks on unsupervised graph representation learning. - Bingdao Feng; Di Jin 001; Xiaobao Wang; Fangyu Cheng; Siqi Guo 002 (Neural Networks, 2024)

Study and Analysis of the Thunder Source Location Error Based on Acoustic Ray-Tracing. - Jinyuan Guo; Caixia Wang; Jia Xu; Song Jia; Hui Yang; Zhuling Sun; Xiaobao Wang (Remote. Sens., 2024)

A Prompt-Based Hierarchical Pipeline for Cross-Domain Slot Filling. - Xiao Wei; Yuhang Li; Yuke Si; Longbiao Wang; Xiaobao Wang; Jianwu Dang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Backdoor Attack on Propagation-based Rumor Detectors. - Di Jin 001; Yujun Zhang; Bingdao Feng; Xiaobao Wang; Dongxiao He; Zhen Wang 004 (AAAI, 2025)

Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content. - Sheng Wu; Dongxiao He; Xiaobao Wang; Longbiao Wang; Jianwu Dang 001 (AAAI, 2025)

HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting. - Fengyu Yan; Xiaobao Wang; Dongxiao He; Longbiao Wang; Jianwu Dang 001; Di Jin 001 (AAAI, 2025)

Augmenting Short Enrollment Speech via Synthesis for Target Speaker Extraction. - Zikang Huang; Jingru Lin; Meng Ge; Yu Jiang; Xiaobao Wang; Longbiao Wang; Jianwu Dang 001 (ICASSP, 2025)

Discrete Unit-based Low-latency Multi-lingual Speech Synthesis for LIMMITS'25 Challenge. - Yu Jiang; Cheng Gong; Tianrui Wang; Chunyu Qiang; Haoyu Wang; Qiuyu Liu; Yuheng Lu; Xiaobao Wang; Xiaolei Zhang; Longbiao Wang; Jianwu Dang 001 (ICASSP, 2025)

A Prompt Learning Framework with Large Language Model Augmentation for Few-shot Multi-label Intent Detection. - Ning Zhuang; Xiao Wei; Junlei Li; Xiaobao Wang; Chenyang Wang; Longbiao Wang; Jianwu Dang 001 (ICASSP, 2025)

Multi-range Random Walk Based Graph Neural Network. - Ziyu Guo; Meng Ge; Xiaobao Wang; Di Jin (ICIC (10), 2025)

Str-GCL: Structural Commonsense Driven Graph Contrastive Learning. - Dongxiao He; Yongqi Huang; Jitao Zhao; Xiaobao Wang; Zhen Wang 004 (WWW, 2025)

Graph contrastive learning with multiple information fusion. - Xiaobao Wang; Jun Yang; Zhiqiang Wang; Dongxiao He; Jitao Zhao; Yuxiao Huang; Di Jin 001 (Expert Syst. Appl., 2025)

Characteristic-Specific Partial Fine-Tuning for Efficient Emotion and Speaker Adaptation in Codec Language Text-to-Speech Models. - Tianrui Wang; Meng Ge; Cheng Gong; Chunyu Qiang; Haoyu Wang; Zikang Huang; Yu Jiang; Xiaobao Wang; Xie Chen 001; Longbiao Wang; Jianwu Dang 001 (CoRR, 2025)

Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation. - Dongxiao He; Jiaqi Cui; Xiaobao Wang; Guojie Song; Yuxiao Huang; Lingfei Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective. - Di Jin 001; Jingyi Cao; Xiaobao Wang; Bingdao Feng; Dongxiao He; Longbiao Wang; Jianwu Dang 001 (CoRR, 2025)

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems. - Runze Li; Di Jin 001; Xiaobao Wang; Dongxiao He; Bingdao Feng; Zhen Wang 004 (CoRR, 2025)

Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework. - Xiao Wei; Xiaobao Wang; Ning Zhuang; Chenyang Wang; Longbiao Wang; Jianwu Dang 001 (CoRR, 2025)

Active Multimodal Distillation for Few-shot Action Recognition. - Weijia Feng; Yichen Zhu; Ruojia Zhang; Chenyang Wang 001; Fei Ma; Xiaobao Wang; Xiaobai Li (CoRR, 2025)

Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection. - Xiaobao Wang; Yujing Wang; Dongxiao He; Zhe Yu; Yawen Li 001; Longbiao Wang; Jianwu Dang 001; Di Jin 001 (IEEE Trans. Knowl. Data Eng., 2025)