CNZhejiangSchool of Artificial Intelligence
Works on multimodal learning, including speech and singing-voice synthesis, audio generation and video-language understanding.
- Speech synthesis & voice
- Speech recognition & spoken language
- Vision-language & multimodal
- 2026A Survey of Direct Preference Optimization: Datasets, Theories, Variants, and ApplicationsTPAMI
- 2026AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow MatchingICLR
136 T1 · 194 papers · Group size not listed USUMDComputer Science
Leads the GAMMA group on robot navigation, autonomous driving, audio and multimodal AI, and physically based simulation.
- Autonomous vehicles & drones
- Embodied & active vision
- Vision-language & multimodal
- 2026Bi-VLM: Binary Post-Training Quantization for Vision-Language ModelsAAAI
- 2026DIAGRAMS : A Review Framework for Reasoning-Level Attribution in Diagram QAACL
125 T1 · 185 papers · Group size not listed CNPekingSchool of Computer Science
Researches machine learning and computer vision, including brain-inspired learning and embodied multimodal models.
- Vision-language & multimodal
- Embodied & active vision
- Multimodal & grounded language
- 2026Action-Sketcher: From Reasoning to Action via Visual Sketches for Robotic ManipulationCVPR
- 2026BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion ModelsICLR
110 T1 · 151 papers · Group size not listed SGNTUCollege of Computing and Data Science
Yu ChengNanyang Associate Professor (NRF)
Works on efficient and sparse model architectures, model compression and multimodal learning.
- Efficient training & inference
- Vision-language & multimodal
- Accelerators, chips & architecture
- 2026AdaReasoner: Dynamic Tool Orchestration for Iterative Visual ReasoningICLR
- 2026Characterizing, Evaluating, and Optimizing Complex ReasoningICML
105 T1 · 118 papers · 42 members USUCLAComputer Science
Develops natural language processing and machine learning methods, including vision-language models, robustness and fairness of language models.
- Large language models
- Interpretability, evaluation & safety of LMs
- Vision-language & multimodal
- 2026ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward SystemACL
- 2026ContextNav: Towards Agentic Multimodal In-Context LearningICLR
104 T1 · 152 papers · 12 members · 46 alumni USStanfordComputer Science
Chelsea FinnAssistant Professor of Computer Science and of Electrical Engineering
Develops robot learning methods, including meta-learning and vision-language-action policies for manipulation.
- Manipulation & robot learning
- Robot perception & SLAM
- Vision-language & multimodal
- 2026ALOHA Lightning: Learning Fast and Precise ManipulationICRA
- 2026Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and PlanningICLR
98 T1 · 112 papers · Group size not listed GBImperialDepartment of Computing
Jiankang DengAssistant Professor in Computing
Directs the MVP Lab on multi-modal foundation models for visual, acoustic and tactile signals and generative modelling of the physical world.
- Vision-language & multimodal
- Generative & foundation models
- Large language models
- 2026Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied AgentsECCV
- 2026CASteer: Cross-Attention Steering for Controllable Concept ErasureICLR
97 T1 · 107 papers · 6 members · 4 alumni USUC BerkeleyElectrical Engineering and Computer Sciences
Develops visual recognition algorithms and multimodal vision-language models.
- Vision-language & multimodal
- Recognition, detection & segmentation
- Multimodal & grounded language
- 2026Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive GazingCVPR
- 2026Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual TokensECCV
92 T1 · 114 papers · 11 members · 13 alumni USUCLAComputer Science
Researches controllable and creative language generation, multimodal language models and evaluation of language model reasoning.
- Large language models
- Reasoning & agents
- Vision-language & multimodal
- 2026ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy ShapingICLR
- 2026Decoupling Task-Solving and Output Formatting in LLM GenerationACL
87 T1 · 136 papers · 9 members · 35 alumni SGNTUCollege of Computing and Data Science
Works on natural language processing, including LLM reasoning, multilingual and multimodal language models, discourse and question answering.
- Large language models
- Reasoning & agents
- Vision-language & multimodal
- 2026Can Vibe Coders Really Pass the Vibe Check? An Empirical Analysis of Fault-Targeted Reasoning in Frontier LLMsEMNLP
- 2026Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token ReductionACL
85 T1 · 110 papers · 1 member · 16 alumni CNPekingSchool of Computer Science
Hao TangAssistant Professor / Researcher
Researches generative AI, world models, spatial intelligence and embodied AI with multimodal large models.
- Vision-language & multimodal
- Embodied & active vision
- Generative & foundation models
- 2026AllRestorer: All-in-One Transformer for Image Restoration under Composite DegradationsTPAMI
- 2026EvoVLA: Self-Evolving Vision-Language-Action ModelECCV
82 T1 · 103 papers · 8 members SGNUSDepartment of Computer Science
Works on machine learning for graphs, anomaly detection, spatiotemporal data and reliability of vision-language models.
- Time series, anomaly & spatio-temporal data
- Graph mining & networks
- Vision-language & multimodal
- 2026AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text ParaphrasingICML
- 2026Conversation for Non-verifiable Learning: Self-Evolving Large Language Models through Meta-EvaluationICML
76 T1 · 101 papers · 10 members USUWPaul G. Allen School of Computer Science & Engineering
Researches large language models, semantic parsing and multimodal pretraining.
- Large language models
- Multilingual, translation & linguistics
- Vision-language & multimodal
- 2026High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned FinetuningICLR
- 2026Latent Speech-Text TransformerICLR
72 T1 · 87 papers · 11 members · 34 alumni CNTsinghuaInstitute for Interdisciplinary Information Sciences (IIIS)
Hang ZhaoAssistant Professor
Works on computer vision, multimodal machine learning, autonomous driving, and robotics.
- Embodied & active vision
- Vision-language & multimodal
- Multimodal & grounded language
- 2026ActionCodec: What Makes for Good Action TokenizersCoRL
- 2026Coarse-to-Control: Action-Token Planning for Vision-Language-Action ModelsCoRL
65 T1 · 76 papers · 16 members · 4 alumni CNZhejiangSchool of Artificial Intelligence
Works on natural language processing, multimodal large models, embodied intelligence and graph neural networks.
- Multimodal & grounded language
- Large language models
- Vision-language & multimodal
- 2026Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong LearningCVPR
- 2026Evolving Generalist Virtual Agents with Generative and Associative MemoryAAAI
59 T1 · 103 papers · Group size not listed CNZhejiangZJU-UIUC Institute
Works on multimodal medical data processing, multimodal large models and bioinformatics, including medical image analysis.
- Medical imaging & healthcare AI
- Genomics & computational biology
- Vision-language & multimodal
- 2026Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question AnsweringACL
- 2026AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report EvaluationMICCAI
57 T1 · 96 papers · Group size not listed CNZhejiangSchool of Software Technology
Works on multimodal machine learning and speech synthesis.
- Multimodal & grounded language
- Speech synthesis & voice
- Vision-language & multimodal
- 2026AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow MatchingICLR
- 2026Decoupling Stability and Plasticity for Multi-Modal Test-Time AdaptationCVPR
53 T1 · 77 papers · Group size not listed USUWPaul G. Allen School of Computer Science & Engineering
Works on computer vision and open multimodal foundation models connecting vision, language and reasoning.
- Vision-language & multimodal
- Multimodal & grounded language
- Generative & foundation models
- 2025AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic ManipulationICLR
- 2025Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language ModelCVPR
49 T1 · 54 papers · 21 members · 34 alumni USUWPaul G. Allen School of Computer Science & Engineering
Works at the intersection of computer vision and human-computer interaction, including multimodal models and visual reasoning.
- Vision-language & multimodal
- Multimodal & grounded language
- Reasoning & agents
- 2025AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic ManipulationICLR
- 2025Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language ModelCVPR
49 T1 · 54 papers · 21 members · 34 alumni CNSJTUSchool of Computer Science
Works on computer vision, including object detection and tracking for autonomous driving, vision-language understanding, image restoration and AIGC.
- Recognition, detection & segmentation
- Vision-language & multimodal
- Autonomous vehicles & drones
- 2026Aggregating Cross-Domain Knowledge via Learnable Tokens for Multi-Teacher DistillationECCV
- 2026Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear AttentionECCV
48 T1 · 56 papers · 13 members · 23 alumni