Xiang Deng
30 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (13) π Cross-Pollinator (10)
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Conference Polyglot
(13)
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Academic Marathon
(6)
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Triple Crown
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Grand Slam
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(22)
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(5)
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(29)
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Prolific Year
(6)
Conferences
AAAI (5)
CVPR (4)
EMNLP (4)
ICML (4)
NIPS (3)
ACL (2)
ICLR (2)
ECCV (1)
IJCAI (1)
IJCNLP (1)
L4DC (1)
MICCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
distant supervision
(3)
in-context learning
(3)
knowledge distillation
(2)
graph neural network
(2)
neural network
(2)
web agent
(2)
pre-trained language model
(2)
model compression
(2)
multi-instance learning
(2)
representation learning
(2)
language instruction
(2)
causal inference
(2)
relation extraction
(2)
knowledge transfer
(2)
multi-label classification
(2)
attention mechanism
(1)
model robustness
(1)
few-shot learning
(1)
embedding learning
(1)
Papers
Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement
AAAI 2026
Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion
MICCAI 2025
A-NC: Adaptive Neural Control with implicit online inference of privileged parameters
L4DC 2025
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
ICML 2025
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
AAAI 2025
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
CVPR 2025
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
ICLR 2025
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
ICML 2025
LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
CVPR 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
NIPS 2024
Dual-View Visual Contextualization for Web Navigation
CVPR 2024
RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
CVPR 2024
RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models
ICML 2024
AgentBench: Evaluating LLMs as Agents
ICLR 2024
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
ACL 2023
Mind2Web: Towards a Generalist Agent for the Web
NIPS 2023
Exploring Chain of Thought Style Prompting for Text-to-SQL
EMNLP 2023
Donβt Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
ACL 2023
Personalized Education: Blind Knowledge Distillation
ECCV 2022
Reducing Flipping Errors in Deep Neural Networks
AAAI 2022
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
AAAI 2022
Iteratively Prompt Pre-trained Language Models for Chain of Thought
EMNLP 2022
Deep Causal Metric Learning
ICML 2022
ReasonBERT: Pre-trained to Reason with Distant Supervision
EMNLP 2021
Learning with Retrospection
AAAI 2021
Comprehensive Knowledge Distillation with Causal Intervention
NIPS 2021
Graph-Free Knowledge Distillation for Graph Neural Networks
IJCAI 2021
Structure-Grounded Pretraining for Text-to-SQL
NAACL 2021
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
EMNLP 2019
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
IJCNLP 2019