Research area map: fields, tasks, datasets and models covered by the paper pages
Each field is listed from broad to narrow, ending with the papers that work on it. The indexes below map tasks, methods, datasets and models to the papers that use them.
Field hierarchy
- artificial intelligence
- machine learning
- deep learning
- data mining
- spatio-temporal data mining
- time series forecasting
- intelligent transportation systems
- time series forecasting
- spatio-temporal data mining
- computer vision
- remote sensing
- object detection
- agricultural computer vision
- plant disease detection
- tomato leaf disease detection
- attention-enhanced lightweight detection — Automatic visual recognition for leaf disease based on…
- tomato leaf disease detection
- plant disease detection
- multimodal perception
- trustworthy AI
- uncertainty-aware multimodal object detection
- fire and smoke detection — URMDet-SimFire
- uncertainty-aware multimodal object detection
- trustworthy AI
- agricultural computer vision
- machine learning
Tasks
- affective computing: PhysioSER
- affective speech generation: DUET
- citywide crowd flow forecasting: MC-STL
- controllable speech synthesis: DUET
- crop disease identification: Automatic visual recognition for leaf disease…
- cross-domain few-shot learning: S3CFSL
- crowd flow prediction: MR-UFP, ST-FCL, MC-STL
- domain adaptation for remote sensing: S3CFSL
- emotion recognition from speech: PhysioSER
- emotion-controllable TTS: DUET
- emotional speech synthesis: DUET
- emotional text-to-speech: DUET
- expressive speech synthesis: DUET
- few-shot hyperspectral classification: S3CFSL
- fire and smoke detection: URMDet-SimFire
- fire detection: URMDet-SimFire
- grid-based traffic flow forecasting: MC-STL
- HSI classification: S2CMEN, S3CFSL
- hyperspectral image classification: S2CMEN, S3CFSL
- incomplete OD data: BiST-IF
- inflow and outflow prediction: MR-UFP, ST-FCL, MC-STL
- inter-station passenger flow forecasting: BiST-IF
- metro passenger flow prediction: DSTCN, BiST-IF
- multilingual speech emotion recognition: PhysioSER
- multimodal object detection: URMDet-SimFire
- OD matrix forecasting: DSTCN, BiST-IF
- origin-destination (OD) demand prediction: DSTCN
- origin-destination (OD) flow prediction: BiST-IF
- paralinguistic analysis: PhysioSER
- plant disease detection: Automatic visual recognition for leaf disease…
- plant disease recognition: Automatic visual recognition for leaf disease…
- real-time object detection: Automatic visual recognition for leaf disease…
- remote sensing image classification: S2CMEN, S3CFSL
- robust detection with missing modalities: URMDet-SimFire
- small object detection: Automatic visual recognition for leaf disease…
- smoke detection: URMDet-SimFire
- spatio-temporal forecasting: DSTCN, MR-UFP, ST-FCL, MC-STL
- speech emotion recognition (SER): PhysioSER
- superpixel segmentation: S2CMEN
- taxi demand prediction: DSTCN
- taxi OD demand prediction: BiST-IF
- tomato leaf disease detection: Automatic visual recognition for leaf disease…
- traffic flow forecasting: ST-FCL
- traffic prediction with limited data: MR-UFP
- training-free emotion control: DUET
- travel demand forecasting: DSTCN
- trustworthy perception: URMDet-SimFire
- urban flow prediction: MR-UFP, ST-FCL, MC-STL
- vocal emotion recognition: PhysioSER
Methods and components
- activation steering: DUET
- arrival flow (Out-OD): BiST-IF
- attention-derived graph: MR-UFP, MC-STL
- auxiliary region classification task: MR-UFP
- bi-directional attention: BiST-IF
- BiLSTM: DSTCN, BiST-IF
- classifier guidance for speech: DUET
- closeness, period and trend: ST-FCL
- DyHead (dynamic head): Automatic visual recognition for leaf disease…
- emotion direction in hidden states: DUET
- environment feature fusion: MR-UFP
- expected calibration error (ECE): URMDet-SimFire
- feature denoising: S3CFSL
- Focaler-SIoU loss: Automatic visual recognition for leaf disease…
- frozen self-supervised speech representations: PhysioSER
- functional region similarity: ST-FCL
- gated feature update: BiST-IF
- GCN: MR-UFP, MC-STL
- global spatial context: S2CMEN
- global-local cross-attention: MC-STL
- graph convolutional network (GCN): S2CMEN
- graph neural network for OD prediction: DSTCN
- group delay: PhysioSER
- GRU: DSTCN
- inference-time intervention: DUET
- InfoNCE contrastive alignment: PhysioSER
- instantaneous frequency: PhysioSER
- interpretable speech emotion recognition: PhysioSER
- linear probing of hidden states: DUET
- masked pre-training: MR-UFP
- masked spatio-temporal pre-training: MC-STL
- meta-learning (episodic training): S3CFSL
- multi-scale region information: MR-UFP
- multi-task learning: MR-UFP
- multi-task mutual enhancement: S2CMEN
- multi-view contrastive learning: ST-FCL
- multi-view fusion: ST-FCL
- mutual information attention: BiST-IF
- OD delay correction: BiST-IF
- parameter-efficient SER: PhysioSER
- periodicity modeling: ST-FCL
- phase-aware speech features: PhysioSER
- quaternion convolution: PhysioSER
- quaternion neural networks: PhysioSER
- reliability-weighted fusion: URMDet-SimFire
- representation steering: DUET
- scale-aware, spatial-aware and task-aware attention: Automatic visual recognition for leaf disease…
- self-supervised pre-training for traffic prediction: MC-STL
- semantic-aware domain alignment: S3CFSL
- sensor fusion: URMDet-SimFire
- simulation-based evaluation: URMDet-SimFire
- spatial-spectral feature extraction: S3CFSL
- spatial-spectral fusion: S2CMEN
- spatial-spectral Transformer: S3CFSL
- spatial-temporal contrastive pre-training: MR-UFP
- spatial-view contrastive learning: ST-FCL
- spatio-temporal contrastive learning: MC-STL
- spatio-temporal graph learning: DSTCN
- speaker-emotion disentanglement: DUET
- spectral flux: PhysioSER
- steering vectors for TTS: DUET
- superpixel-based classification: S2CMEN
- Swin Transformer: S2CMEN
- temporal convolution: DSTCN
- temporal-view contrastive learning: ST-FCL
- Transformer spatial similarity: DSTCN
- uncertainty calibration: URMDet-SimFire
- Vision Transformer (ViT) encoder: MC-STL
- YOLOv4-tiny: Automatic visual recognition for leaf disease…
- YOLOv8-style detector: URMDet-SimFire
Datasets used
- AESDD: PhysioSER
- BikeNYC: MR-UFP, ST-FCL, MC-STL
- CaFE: PhysioSER
- Chikusei: S3CFSL
- CREMA-D: DUET, PhysioSER
- EMNS: PhysioSER
- EmoV-DB: PhysioSER
- Emozionalmente: PhysioSER
- ESD (Emotional Speech Dataset): DUET
- Houston: S2CMEN, S3CFSL
- HZMetro (Hangzhou metro): DSTCN, BiST-IF
- IEMOCAP: DUET
- Indian Pines: S2CMEN
- JL-Corpus: PhysioSER
- MESD: PhysioSER
- nEMO: PhysioSER
- NYC yellow taxi: DSTCN
- NYC-TOD2018: DSTCN
- NYC-TOD2018 (New York yellow taxi): BiST-IF
- NYC-TOD2019: DSTCN
- Oréau: PhysioSER
- Pavia Centre: S3CFSL
- Pavia University: S2CMEN
- PAVOQUE: PhysioSER
- PlantDoc: Automatic visual recognition for leaf disease…
- RAVDESS: PhysioSER
- RESD: PhysioSER
- Salinas: S3CFSL
- SimFire-Corruption (synthetic): URMDet-SimFire
- SimFire-Main (synthetic): URMDet-SimFire
- SUBESCO: PhysioSER
- TaxiBJ: MR-UFP, ST-FCL, MC-STL
Models used or compared
- AGCRN: MR-UFP, ST-FCL, MC-STL
- ATFM: MR-UFP, ST-FCL, MC-STL
- BEATs: PhysioSER
- CLAP audio encoder: PhysioSER
- CMFSL: S3CFSL
- CMOD: DSTCN
- CosyVoice2: DUET
- DCFSL: S3CFSL
- DeepMeshCity: MR-UFP
- DFSL: S3CFSL
- DGCN: DSTCN, BiST-IF
- DMCM: S3CFSL
- EmoKnob: DUET
- EmoSphere++: DUET
- emotion2vec: DUET, PhysioSER
- F5-TTS: DUET
- GCC-FSL: S3CFSL
- GEML: DSTCN, BiST-IF
- Gia-FSL: S3CFSL
- Grad-TTS: DUET
- HIAM: BiST-IF
- HMOD: DSTCN
- HuBERT: PhysioSER
- IndexTTS2: DUET
- Matcha-TTS: DUET
- MC-STL: MR-UFP
- MPGCN: DSTCN, BiST-IF
- Multi-STGCnet: MC-STL
- PDFormer: MR-UFP, ST-FCL
- ProDiff: DUET
- Qwen3-TTS: DUET
- ST-FCL: MR-UFP
- ST-GSP: ST-FCL, MC-STL
- ST-ResNet: MR-UFP, ST-FCL, MC-STL
- ST-SSL: MC-STL
- StableTTS: DUET
- STAEformer: MR-UFP, ST-FCL
- STGCN: DSTCN, MR-UFP, BiST-IF, ST-FCL
- STSGCN: DSTCN
- STTN: DSTCN, BiST-IF, ST-FCL
- TGCRN: DSTCN
- Vocos vocoder: DUET
- wav2vec 2.0: PhysioSER
- WavLM: PhysioSER
Related areas and applications
- affective computing: DUET
- anomaly detection: URMDet-SimFire
- assistive speech: DUET
- attention mechanisms: BiST-IF, Automatic visual recognition for leaf disease…
- audio classification: PhysioSER
- audiobook narration: DUET
- auxiliary learning: MR-UFP
- bidirectional LSTM: DSTCN
- bike-sharing operations: MR-UFP
- bike-sharing rebalancing: ST-FCL, MC-STL
- bounding-box regression losses: Automatic visual recognition for leaf disease…
- call-centre analytics: PhysioSER
- citywide prediction: MC-STL
- congestion control: MC-STL
- contrastive learning: MR-UFP, MC-STL
- contrastive representation learning: ST-FCL
- controllable generation: DUET
- conversational agents: DUET
- crop disease monitoring: Automatic visual recognition for leaf disease…
- cross-lingual transfer: PhysioSER
- crowd control in stations: BiST-IF
- data augmentation: Automatic visual recognition for leaf disease…
- data completion: BiST-IF
- data-efficient learning: MR-UFP
- deep learning in agriculture: Automatic visual recognition for leaf disease…
- deep spatio-temporal residual networks: ST-FCL, MC-STL
- denoising: S3CFSL
- diffusion models: DUET
- digital humans: DUET
- domain adaptation: S3CFSL
- domain generalization: S3CFSL
- dynamic vehicle dispatch: DSTCN
- early disease warning: Automatic visual recognition for leaf disease…
- edge deployment: Automatic visual recognition for leaf disease…
- embodied AI: DUET
- emergency response: URMDet-SimFire
- emotion recognition: PhysioSER
- emotion-aware humanoid robots: PhysioSER
- emotional voice conversion: DUET
- empathetic dialogue systems: DUET
- environmental monitoring: S2CMEN, S3CFSL
- event crowd management: ST-FCL
- expressive humanoid robots: DUET
- external factors: DSTCN
- external factors (weather, holidays): MR-UFP
- few-shot learning: S3CFSL
- field scouting apps: Automatic visual recognition for leaf disease…
- fleet management: DSTCN
- flow matching: DUET
- foundation models for audio: PhysioSER
- functional zones: ST-FCL
- game and virtual character voices: DUET
- gating mechanisms: BiST-IF
- geological survey: S2CMEN
- global context modeling: S2CMEN
- graph convolutional networks: S2CMEN
- graph neural networks: S2CMEN, MC-STL
- graph structure learning: DSTCN
- greenhouse monitoring: Automatic visual recognition for leaf disease…
- grid-based prediction: MC-STL
- human mobility: MC-STL
- human-computer interaction: PhysioSER
- human-robot interaction: DUET, PhysioSER
- hypercomplex neural networks: PhysioSER
- image classification: Automatic visual recognition for leaf disease…
- image segmentation: S2CMEN
- industrial fire monitoring: URMDet-SimFire
- interpretable machine learning: PhysioSER
- IoT sensors: URMDet-SimFire
- label-efficient learning: S3CFSL
- land cover classification: S2CMEN, S3CFSL
- land-cover mapping: S2CMEN, S3CFSL
- lightweight detectors: Automatic visual recognition for leaf disease…
- masked autoencoders: MC-STL
- masked pre-training: MR-UFP
- mechanistic interpretability: DUET
- mel spectrogram: DUET
- mental health assessment: PhysioSER
- meta-learning: S3CFSL
- metro operations: BiST-IF
- metro systems: DSTCN, BiST-IF
- mineral exploration: S3CFSL
- missing data imputation: BiST-IF
- missing modalities: URMDet-SimFire
- mobility modeling: ST-FCL, MC-STL
- mobility on demand: DSTCN
- model calibration: URMDet-SimFire
- multi-task learning: S2CMEN, MR-UFP
- multi-view learning: ST-FCL
- multimodal emotion recognition: PhysioSER
- multimodal fusion: URMDet-SimFire
- multispectral imaging: S3CFSL
- mutual information: BiST-IF
- neural vocoders: DUET
- periodic pattern mining: ST-FCL
- plant phenotyping: Automatic visual recognition for leaf disease…
- precision agriculture: S2CMEN, Automatic visual recognition for leaf disease…, S3CFSL
- prosody modeling: DUET
- psychological assessment support: PhysioSER
- public safety: ST-FCL, MC-STL
- public transit analytics: DSTCN, BiST-IF
- rail transit: BiST-IF
- real-time traffic management: DSTCN
- recurrent neural networks: BiST-IF
- region representation learning: MR-UFP
- representation engineering: DUET
- representation learning: MC-STL
- resource allocation: DSTCN, MR-UFP
- resource-limited learning: ST-FCL
- ride-hailing demand: DSTCN, BiST-IF
- ride-hailing dispatch: MC-STL
- robustness: URMDet-SimFire
- route optimization: MR-UFP
- safety surveillance: URMDet-SimFire
- safety-critical AI: URMDet-SimFire
- score-based generative models: DUET
- self-supervised learning: PhysioSER, MR-UFP, ST-FCL, MC-STL
- sensor fusion: URMDet-SimFire
- short-time Fourier transform (STFT): PhysioSER
- signal processing: PhysioSER
- simulation and synthetic data: URMDet-SimFire
- smart buildings: URMDet-SimFire
- smart card data (AFC): BiST-IF
- smart farming: Automatic visual recognition for leaf disease…
- social robotics: DUET, PhysioSER
- spatio-temporal graph neural networks: DSTCN, MR-UFP, BiST-IF, ST-FCL, MC-STL
- spatio-temporal heterogeneity: MC-STL
- speaking style control: DUET
- spectral-spatial feature fusion: S2CMEN
- spectral-spatial feature learning: S3CFSL
- speech emotion recognition: DUET
- speech representation learning: PhysioSER
- superpixels (SLIC): S2CMEN
- Swin Transformer: S2CMEN
- taxi demand: DSTCN
- taxi dispatch: BiST-IF
- temporal convolutional networks: DSTCN
- text-enhanced spatio-temporal modeling: MR-UFP
- thermal imaging: URMDet-SimFire
- time-frequency analysis: PhysioSER
- traffic forecasting: MR-UFP, ST-FCL, MC-STL
- traffic management: MR-UFP, ST-FCL, MC-STL
- train scheduling: BiST-IF
- transfer learning: S3CFSL
- Transformers for spatio-temporal data: DSTCN
- Transformers for time series: MC-STL
- transport planning: DSTCN, BiST-IF
- travel demand modeling: DSTCN, BiST-IF
- trip planning: MC-STL
- uncertainty quantification: URMDet-SimFire
- urban mapping: S2CMEN, S3CFSL
- urban planning: MR-UFP, ST-FCL
- urban region profiling: MR-UFP
- urban region representation: ST-FCL
- Vision Transformers: S2CMEN, S3CFSL
- vocal tract and glottal source: PhysioSER
- voice assistants: DUET, PhysioSER
- voice cloning: DUET
- voice physiology: PhysioSER
- wildfire and smoke alarms: URMDet-SimFire
- yield-loss prevention: Automatic visual recognition for leaf disease…
- YOLO detectors: Automatic visual recognition for leaf disease…, URMDet-SimFire
- zero-shot TTS: DUET
Related benchmarks in these fields (not used by the listed paper)
- Beijing subway: DSTCN, BiST-IF
- BikeChicago: MC-STL
- BikeDC: MR-UFP, ST-FCL, MC-STL
- Botswana: S2CMEN, S3CFSL
- CASIA: PhysioSER
- Chicago taxi OD: DSTCN, BiST-IF
- Chikusei: S2CMEN
- D-Fire: URMDet-SimFire
- EmoDB: PhysioSER
- EmoV-DB: DUET
- ESD: PhysioSER
- FASDD: URMDet-SimFire
- FLAME: URMDet-SimFire
- Foggia fire video dataset: URMDet-SimFire
- IEMOCAP: PhysioSER
- Indian Pines: S3CFSL
- IP102: Automatic visual recognition for leaf disease…
- Kennedy Space Center (KSC): S2CMEN, S3CFSL
- LibriTTS: DUET
- LJSpeech: DUET
- METR-LA: MR-UFP, ST-FCL, MC-STL
- MSP-Podcast: DUET, PhysioSER
- NYC Citi Bike OD: DSTCN, BiST-IF
- Pavia Centre: S2CMEN
- Pavia University: S3CFSL
- PEMS-BAY: MR-UFP, ST-FCL, MC-STL
- PeMS04: MR-UFP, ST-FCL, MC-STL
- PeMS08: MR-UFP, ST-FCL, MC-STL
- PlantDoc (full): Automatic visual recognition for leaf disease…
- PlantVillage: Automatic visual recognition for leaf disease…
- RAVDESS: DUET
- Salinas: S2CMEN
- SAVEE: PhysioSER
- SHMetro: DSTCN, BiST-IF
- TaxiNYC: MR-UFP, ST-FCL, MC-STL
- TESS: PhysioSER
- Tomato leaf disease (Kaggle): Automatic visual recognition for leaf disease…
- VCTK: DUET
- WHU-Hi: S2CMEN, S3CFSL
中文检索词
- OD 延迟校正: BiST-IF
- OD 流量预测: BiST-IF
- OD 矩阵预测: DSTCN, BiST-IF
- OD 需求: DSTCN
- OD 需求预测: DSTCN
- OD 预测: BiST-IF
- TTS: DUET
- YOLO: Automatic visual recognition for leaf disease…
- 不确定性估计: URMDet-SimFire
- 不确定性量化: URMDet-SimFire
- 互信息: BiST-IF
- 交通流量预测: MR-UFP, ST-FCL, MC-STL
- 交通管理: MC-STL
- 交通规划: BiST-IF
- 交通预测: MR-UFP, ST-FCL, MC-STL
- 人形机器人语音: DUET
- 人机交互: DUET, PhysioSER
- 人类移动性: MC-STL
- 人群流量预测: MR-UFP, ST-FCL, MC-STL
- 作物病害监测: Automatic visual recognition for leaf disease…
- 元学习: S3CFSL
- 全局上下文建模: S2CMEN
- 公共交通分析: BiST-IF
- 共享单车调度: MC-STL
- 具身智能: DUET
- 农业计算机视觉: Automatic visual recognition for leaf disease…
- 农作物病害识别: Automatic visual recognition for leaf disease…
- 出租车 OD 需求预测: BiST-IF
- 出租车调度: DSTCN
- 出租车需求预测: DSTCN
- 出行需求建模: BiST-IF
- 出行需求预测: DSTCN
- 刷卡数据: BiST-IF
- 副语言信息: PhysioSER
- 功能区相似性: ST-FCL
- 区域画像: MR-UFP
- 区域表征: ST-FCL
- 区域表征学习: MR-UFP
- 去噪: S3CFSL
- 双向LSTM: DSTCN
- 发声生理: PhysioSER
- 可信人工智能: URMDet-SimFire
- 可信感知: URMDet-SimFire
- 可控语音合成: DUET
- 可解释性: DUET
- 可解释机器学习: PhysioSER
- 合成数据: URMDet-SimFire
- 周期性建模: ST-FCL
- 周期模式挖掘: ST-FCL
- 四元数卷积: PhysioSER
- 图像分割: S2CMEN
- 图卷积网络: S2CMEN
- 图神经网络: S2CMEN, MC-STL
- 图结构学习: DSTCN
- 土地覆盖制图: S2CMEN, S3CFSL
- 地物分类: S2CMEN, S3CFSL
- 地铁: BiST-IF
- 地铁客流预测: DSTCN, BiST-IF
- 地铁运营: BiST-IF
- 城市功能区: ST-FCL
- 城市流量预测: MR-UFP, ST-FCL, MC-STL
- 城市规划: ST-FCL
- 城市计算: MR-UFP, ST-FCL, MC-STL
- 域泛化: S3CFSL
- 域适应: S3CFSL
- 声码器: DUET
- 声道: PhysioSER
- 声门: PhysioSER
- 多任务学习: S2CMEN, MR-UFP
- 多传感器融合: URMDet-SimFire
- 多尺度区域: MR-UFP
- 多模态感知: URMDet-SimFire
- 多模态目标检测: URMDet-SimFire
- 多视图学习: ST-FCL
- 多视图对比学习: ST-FCL
- 多语言语音情感识别: PhysioSER
- 天气与节假日外部因素: MR-UFP
- 安全关键AI: URMDet-SimFire
- 客流预测: DSTCN, BiST-IF
- 对地观测: S2CMEN, S3CFSL
- 对比表征学习: ST-FCL
- 对比预训练: MR-UFP
- 小样本/低资源时空预测: ST-FCL
- 小样本学习: S3CFSL
- 小样本高光谱分类: S3CFSL
- 小目标检测: Automatic visual recognition for leaf disease…
- 工业火灾监测: URMDet-SimFire
- 循环神经网络: BiST-IF
- 心理健康评估: PhysioSER
- 情感TTS: DUET
- 情感可控语音合成: DUET
- 情感计算: DUET, PhysioSER
- 情感识别: PhysioSER
- 情感语音合成: DUET
- 情感语音转换: DUET
- 情绪语音合成: DUET
- 扩散模型: DUET
- 扩散模型语音合成: DUET
- 推理时干预: DUET
- 掩码自编码器: MC-STL
- 掩码预训练: MR-UFP, MC-STL
- 数字人: DUET
- 数据增强: Automatic visual recognition for leaf disease…
- 数据补全: BiST-IF
- 数据高效学习: MR-UFP
- 文本转语音: DUET
- 时序卷积网络: DSTCN
- 时空图学习: DSTCN
- 时空图神经网络: DSTCN, MC-STL
- 时空对比学习: MC-STL
- 时空数据挖掘: MR-UFP, ST-FCL, MC-STL
- 时空预测: ST-FCL, MC-STL
- 时间序列预测: ST-FCL, MC-STL
- 时频分析: PhysioSER
- 智慧农业: Automatic visual recognition for leaf disease…
- 智慧城市: MR-UFP, ST-FCL, MC-STL
- 智慧楼宇: URMDet-SimFire
- 智能交通: MR-UFP, ST-FCL, MC-STL
- 标签高效学习: S3CFSL
- 梅尔频谱: DUET
- 植物病害检测: Automatic visual recognition for leaf disease…
- 植物表型: Automatic visual recognition for leaf disease…
- 模型校准: URMDet-SimFire
- 模态缺失: URMDet-SimFire
- 注意力机制: BiST-IF, Automatic visual recognition for leaf disease…
- 流入流出预测: MC-STL
- 流匹配: DUET
- 流匹配语音合成: DUET
- 消防预警: URMDet-SimFire
- 深度学习农业应用: Automatic visual recognition for leaf disease…
- 火灾检测: URMDet-SimFire
- 火灾烟雾检测: URMDet-SimFire
- 烟雾检测: URMDet-SimFire
- 热成像: URMDet-SimFire
- 物联网传感器: URMDet-SimFire
- 环境监测: S3CFSL
- 番茄叶片病害识别: Automatic visual recognition for leaf disease…
- 病害早期预警: Automatic visual recognition for leaf disease…
- 目标检测: Automatic visual recognition for leaf disease…
- 相位特征: PhysioSER
- 瞬时频率: PhysioSER
- 短时傅里叶变换: PhysioSER
- 社交机器人: DUET
- 空谱特征学习: S3CFSL
- 空谱特征融合: S2CMEN
- 空谱融合: S2CMEN
- 站间客流预测: BiST-IF
- 精准农业: Automatic visual recognition for leaf disease…
- 缺失数据填补: BiST-IF
- 网格流量预测: MC-STL
- 网约车需求: BiST-IF
- 网约车需求预测: DSTCN
- 群延迟: PhysioSER
- 自监督学习: PhysioSER, MC-STL
- 自监督语音表征: PhysioSER
- 自监督预训练: MC-STL
- 表征学习: MC-STL
- 表征工程: DUET
- 表征引导: DUET
- 表现力语音合成: DUET
- 视觉Transformer: S2CMEN, S3CFSL
- 语音合成: DUET
- 语音情感识别: PhysioSER
- 语音情绪分类: PhysioSER
- 语音情绪识别: PhysioSER
- 语音表征学习: PhysioSER
- 资源分配: MR-UFP
- 起讫点矩阵: DSTCN, BiST-IF
- 起讫点需求预测: DSTCN
- 超像素: S2CMEN
- 超像素分割: S2CMEN
- 超复数神经网络: PhysioSER
- 跨域小样本学习: S3CFSL
- 跨语言迁移: PhysioSER
- 路径优化: MR-UFP
- 车辆调度: DSTCN
- 车队管理: DSTCN
- 轨道交通: BiST-IF
- 轻量化检测: Automatic visual recognition for leaf disease…
- 辅助任务学习: MR-UFP
- 边缘部署: Automatic visual recognition for leaf disease…
- 迁移学习: S3CFSL
- 遥感: S2CMEN, S3CFSL
- 遥感图像分类: S2CMEN, S3CFSL
- 门控机制: BiST-IF
- 零样本语音合成: DUET
- 音频基础模型: PhysioSER
- 韵律控制: DUET
- 风格可控语音合成: DUET
- 高光谱图像分类: S2CMEN, S3CFSL
- 高光谱成像: S2CMEN, S3CFSL
- 高光谱遥感: S2CMEN, S3CFSL
- 鲁棒性: URMDet-SimFire