Xiangyang Ji
Professor
Works on machine learning and visual information acquisition and processing, including video coding and computational imaging.
Xiangyang Ji's lab at Tsinghua works on computational imaging & photography and video understanding. 159 papers since 2023, 114 at top venues, mostly CVPR and ICCV. Applications close .
At a glance
- papers, 2023–2026
- 41/ year
- at T1 venues
- 72%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 24 papers2026 · T1 17 · collecting
- 48 papers2025 · T1 31
- 50 papers2024 · T1 36
- 37 papers2023 · T1 30
T1 venuesOtherVenues: CVPR, ICCV, NeurIPS, ECCV, ICML
Research focuspaper titles that use each topic's words
- Video understanding6 papers
- Computational imaging & photography3 papers
- visual information0 papers
- video coding0 papers
- acquisition0 papers
Paper list
From DBLP.
202624 papers
- ICLR (T1)Adaptive Nonlinear Compression for Large Foundation Models (opens in a new tab)
- AAAI (T1)Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment (opens in a new tab)
- KDD (T1)Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? (opens in a new tab)
- TIP (T1)CAS-ViT: Convolutional Additive Self-Attention Vision Transformers for Efficient Mobile Applications (opens in a new tab)
- IEEE Robotics Autom. Lett.Competitive Learning for Autonomous Flight (opens in a new tab)
- ECCV (T1)Degradation-Agnostic Clarity Learning for Unpaired Image Dehazing (opens in a new tab)
- CVPR (T1)DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO (opens in a new tab)
- ICLR (T1)Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models (opens in a new tab)
- NeurocomputingEnhancing shape bias for object detection (opens in a new tab)
- ICLR (T1)EventFlash: Towards Efficient MLLMs for Event-Based Vision (opens in a new tab)
- Pattern RecognitionFederated domain generalization via data-centric flatness optimization (opens in a new tab)
- IEEE Robotics Autom. Lett.Fetch My Beer: Synthetic-to-Real Hierarchical Policy for Smooth Pick-and-Place (opens in a new tab)
202548 papers
- CVPR (T1)Active Event-based Stereo Vision (opens in a new tab)
- NeurIPS (T1)Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning (opens in a new tab)
- ICLR (T1)Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits (opens in a new tab)
- ICML (T1)Are High-Quality AI-Generated Images More Difficult for Models to Detect? (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Bidirectional Patch-Based Correlations With Local Rigidity for Global Nonrigid Registration (opens in a new tab)
- ICCV (T1)Bridging the Gap Between Ideal and Real-World Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios (opens in a new tab)
- ACM MMCamera-Specific Imaging Simulation for Raw Domain Image Super Resolution (opens in a new tab)
- ICCV (T1)Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention Into Convolutions (opens in a new tab)
- ICCV (T1)ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction (opens in a new tab)
- IEEE Trans. Mob. Comput.Continuous Authentication via Wrist Photoplethysmogram: An Extensive Study (opens in a new tab)
- NeurIPS (T1)Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy (opens in a new tab)
- IEEE Trans. Computational ImagingDiff-Holo: A Residual Diffusion Model With Complex Transformer for Rapid Single-Frame Hologram Reconstruction (opens in a new tab)
202450 papers
- NeurIPS (T1)$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise (opens in a new tab)
- IEEE Trans. Multim.Beyond Instance Discrimination: Relation-Aware Contrastive Self-Supervised Learning (opens in a new tab)
- IJCAI (T1)CompetEvo: Towards Morphological Evolution from Competition (opens in a new tab)
- ECCV (T1)D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction (opens in a new tab)
- ICML (T1)Data-free Neural Representation Compression with Riemannian Neural Dynamics (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Deep Attentional Guided Image Filtering (opens in a new tab)
- TPAMI (T1)Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression (opens in a new tab)
- IEEE Trans. Multim.Disjoint Masking With Joint Distillation for Efficient Masked Image Modeling (opens in a new tab)
- TPAMI (T1)Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization (opens in a new tab)
- NeurIPS (T1)Doubly Mild Generalization for Offline Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting (opens in a new tab)
- NeurIPS (T1)Expanding Sparse Tuning for Low Memory Usage (opens in a new tab)
202337 papers
- TPAMI (T1)Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications (opens in a new tab)
- ACM MMCCMB: A Large-scale Chinese Cross-modal Benchmark (opens in a new tab)
- ICCCCollaborative Inference for MEC Services Based on Multimodal Deep Neural Network (opens in a new tab)
- ICML (T1)Complementary Attention for Multi-Agent Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning (opens in a new tab)
- AAAI (T1)DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field (opens in a new tab)
- ICCV (T1)DiffusionRet: Generative Text-Video Retrieval with Diffusion Model (opens in a new tab)
- GLOBECOMEfficient Communications for Multi-Agent Reinforcement Learning in Wireless Networks (opens in a new tab)
- CVPR (T1)Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation (opens in a new tab)
- ACM Comput. Surv.Guided Depth Map Super-Resolution: A Survey (opens in a new tab)
- NeurIPS (T1)Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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