Jun Xiao
长江学者特聘教授
Works on big-data intelligence, cross-media computing and machine learning.
Jun Xiao's lab at Zhejiang works in Machine Learning. 99 papers since 2023, 60 at top venues, mostly CVPR and ACM MM. Applications close .
At a glance
- papers, 2023–2026
- 26/ year
- at T1 venues
- 61%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 35 papers2026 · T1 29 · collecting
- 26 papers2025 · T1 16
- 18 papers2024 · T1 7
- 20 papers2023 · T1 8
T1 venuesOtherVenues: CVPR, ACM MM, ICLR, NeurIPS, AAAI
Research focuspaper titles that use each topic's words
- intelligence2 papers
- cross-media0 papers
- big-data0 papers
- artificial intelligence0 papers
- artificial0 papers
Paper list
From DBLP.
202635 papers
- CVPR (T1)Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning (opens in a new tab)
- ICLR (T1)Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation (opens in a new tab)
- IJCV (T1)Audio-Guided Video Scene Editing (opens in a new tab)
- KDD (T1)Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction (opens in a new tab)
- KDD (T1)CoFE: Collaborative Feature Engineering via Semantically-Guided Exploration and Diagnostic-Driven Refinement (opens in a new tab)
- Findings of ACLCoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging (opens in a new tab)
- IEEE Trans. Multim.Counterfactual Co-Occurring Learning for Bias Mitigation in Weakly-Supervised Object Localization (opens in a new tab)
- ACL (T1)CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution (opens in a new tab)
- Pattern RecognitionDiMo: Diffusion transformers for monocular human motion estimation in the world system (opens in a new tab)
- ACL (T1)Experience-driven Multi-turn Reinforcement Learning for GUI Agents (opens in a new tab)
- CVPR (T1)FlowDC: Flow-Based Decoupling-Decay for Complex Image Editing (opens in a new tab)
- CVPR (T1)FlowMotion: Training-Free Flow Guidance for Video Motion Transfer (opens in a new tab)
202526 papers
- Frontiers Inf. Technol. Electron. Eng.An adaptive outlier correction quantization method for vision Transformers (opens in a new tab)
- ICML (T1)Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing (opens in a new tab)
- ACM MMCompositional Zero-shot Learning via Progressive Language-based Observations (opens in a new tab)
- NeurIPS (T1)Counterfactual Evolution of Multimodal Datasets via Visual Programming (opens in a new tab)
- ICCV (T1)Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Decomposed Prototype Learning for Few-Shot Scene Graph Generation (opens in a new tab)
- IEEE Trans. Learn. Technol.EduPlanner: LLM-Based Multiagent Systems for Customized and Intelligent Instructional Design (opens in a new tab)
- TKDE (T1)ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling (opens in a new tab)
- NeurIPS (T1)EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? (opens in a new tab)
- ICML (T1)Event-Customized Image Generation (opens in a new tab)
- ACM MMEyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model (opens in a new tab)
- IJCV (T1)From Easy to Hard: Learning Curricular Shape-Aware Features for Robust Panoptic Scene Graph Generation (opens in a new tab)
202418 papers
- NeurIPS (T1)$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation (opens in a new tab)
- Findings of ACLChain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning (opens in a new tab)
- AAAI (T1)CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation (opens in a new tab)
- ECCV (T1)DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism (opens in a new tab)
- CVPR (T1)Distributionally Generative Augmentation for Fair Facial Attribute Classification (opens in a new tab)
- ICEBEEffective and Reliable Domain-Specific Knowledge Question Answering (opens in a new tab)
- AAAI (T1)Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.IDPro: Flexible Interactive Video Object Segmentation by ID-Queried Concurrent Propagation (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Improving Reference-Based Distinctive Image Captioning with Contrastive Rewards (opens in a new tab)
- TKDE (T1)Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation (opens in a new tab)
- Findings of ACLLatent Learningscape Guided In-context Learning (opens in a new tab)
202320 papers
- ICMEAddressing Predicate Overlap in Scene Graph Generation with Semantic Granularity Controller (opens in a new tab)
- CVPR (T1)Bit-shrinking: Limiting Instantaneous Sharpness for Improving Post-training Quantization (opens in a new tab)
- ACM MMCATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation (opens in a new tab)
- ICCV (T1)Compositional Feature Augmentation for Unbiased Scene Graph Generation (opens in a new tab)
- ICLR (T1)Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection (opens in a new tab)
- TPAMI (T1)Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering (opens in a new tab)
- ACM MMDark Knowledge Balance Learning for Unbiased Scene Graph Generation (opens in a new tab)
- Data Mining and Knowledge DiscoveryDifferentiated matching for individual and average treatment effect estimation (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Dual-Path Rare Content Enhancement Network for Image and Text Matching (opens in a new tab)
- ICLR (T1)Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes (opens in a new tab)
- ACM MMFedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy (opens in a new tab)
- Frontiers Inf. Technol. Electron. Eng.Federated unsupervised representation learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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