Xiang Wang
112 papers · 2013–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (14) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (12)
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Interdisciplinary Bridge
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Keyword Pioneer
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Dynamic Duo
(26)
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Triple Crown
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Grand Slam
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Deep Specialist
(17)
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Keyword Champion
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Conference Pioneer
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(20)
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The Questioner
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Keyword Collector
(398)
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Century Club
(105)
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Unstoppable
(8)
Conferences
CVPR (18)
NIPS (18)
ICLR (15)
AAAI (12)
ICML (12)
ICCV (9)
ACL (8)
IJCAI (8)
EMNLP (6)
ECCV (2)
COLT (1)
NAACL (1)
NSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(14)
contrastive learning
(9)
graph neural network
(9)
diffusion model
(6)
temporal modeling
(5)
action recognition
(5)
video generation
(5)
self-supervised learning
(5)
representation learning
(5)
multimodal learning
(5)
video understanding
(4)
language model
(4)
domain generalization
(4)
transfer learning
(4)
recommender system
(4)
generative model
(3)
direct preference optimization
(3)
preference modeling
(3)
data augmentation
(3)
few-shot learning
(3)
Papers
Delayed Feedback Modeling with Influence Functions
AAAI 2026
Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
AAAI 2026
Differentially Private Subspace Fine-Tuning for Large Language Models
AAAI 2026
FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation
ACL 2026
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
AAAI 2026
Interpretable Reward Model via Sparse Autoencoder
AAAI 2026
Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment
AAAI 2026
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
CVPR 2025
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
CVPR 2025
Unified Parameter-Efficient Unlearning for LLMs
ICLR 2025
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
ICLR 2025
Route Sparse Autoencoder to Interpret Large Language Models
EMNLP 2025
START: Self-taught Reasoner with Tools
EMNLP 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification
WACV 2025
Intermediate Connectors and Geometric Priors for Language-Guided Affordance Segmentation on Unseen Object Categories
ICCV 2025
Geometric Alignment and Prior Modulation for View-Guided Point Cloud Completion on Unseen Categories
ICCV 2025
DreamRelation: Relation-Centric Video Customization
ICCV 2025
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
ICLR 2025
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
ICLR 2025
Language Representations Can be What Recommenders Need: Findings and Potentials
ICLR 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning
ACL 2025
Robust Preference Optimization via Dynamic Target Margins
ACL 2025
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
NAACL 2025
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models
IJCAI 2025
PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation
ICCV 2025
Multi-agent Architecture Search via Agentic Supernet
ICML 2025
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
ICML 2025
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
ICML 2025
AnyEdit: Edit Any Knowledge Encoded in Language Models
ICML 2025
Reinforced Lifelong Editing for Language Models
ICML 2025
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
ICML 2025
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
ICML 2025
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion
ICCV 2025
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
ICLR 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
ICLR 2025
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
ICLR 2025
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
NIPS 2024
Towards Neuron Attributions in Multi-Modal Large Language Models
NIPS 2024
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
ICML 2024
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
NIPS 2024
Towards 3D Molecule-Text Interpretation in Language Models
ICLR 2024
Text-to-Image Generation for Abstract Concepts
AAAI 2024
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation
AAAI 2024
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
ACL 2024
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
ACL 2024
MolTC: Towards Molecular Relational Modeling In Language Models
ACL 2024
ReactXT: Understanding Molecular βReaction-shipβ via Reaction-Contextualized Molecule-Text Pretraining
ACL 2024
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
IJCAI 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
CVPR 2024
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
CVPR 2024
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
CVPR 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
LASO: Language-guided Affordance Segmentation on 3D Object
CVPR 2024
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
ECCV 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
ECCV 2024
On Softmax Direct Preference Optimization for Recommendation
NIPS 2024
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
ICML 2024
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
NIPS 2024
Boosting Causal Discovery via Adaptive Sample Reweighting
ICLR 2023
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
NIPS 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
NIPS 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
NIPS 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
NIPS 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
NIPS 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NIPS 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
NIPS 2023
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction
AAAI 2023
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
CVPR 2023
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition
CVPR 2023
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
EMNLP 2023
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction
EMNLP 2023
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
EMNLP 2023
Space-time Prompting for Video Class-incremental Learning
ICCV 2023
Discovering Spatio-Temporal Rationales for Video Question Answering
ICCV 2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
ICCV 2023
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
ICLR 2023
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
ICLR 2023
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
ICML 2023
Copy Motion From One to Another: Fake Motion Video Generation
IJCAI 2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
NIPS 2022
Discovering Invariant Rationales for Graph Neural Networks
ICLR 2022
Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective
CVPR 2022
Hybrid Relation Guided Set Matching for Few-Shot Action Recognition
CVPR 2022
Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency
CVPR 2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
CVPR 2022
Invariant Grounding for Video Question Answering
CVPR 2022
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
NIPS 2022
Towards Understanding the Data Dependency of Mixup-style Training
ICLR 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
ICML 2022
Visual Boundary Knowledge Translation for Foreground Segmentation
AAAI 2021
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
ICML 2021
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
IJCAI 2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition
NIPS 2021
OadTR: Online Action Detection With Transformers
ICCV 2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
CVPR 2021
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
CVPR 2021
Towards Multi-Grained Explainability for Graph Neural Networks
NIPS 2021
Bilinear Graph Neural Network with Neighbor Interactions
IJCAI 2020
Beyond Lazy Training for Over-parameterized Tensor Decomposition
NIPS 2020
Smart Contract Vulnerability Detection using Graph Neural Network
IJCAI 2020
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
AAAI 2020
Hyperscan: A Fast Multi-pattern Regex Matcher for Modern CPUs
NSDI 2019
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
NIPS 2019
Explainable Reasoning over Knowledge Graphs for Recommendation
AAAI 2019
Learning Two-layer Neural Networks with Symmetric Inputs
ICLR 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
COLT 2019
Outer Product-based Neural Collaborative Filtering
IJCAI 2018
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
CVPR 2018
Improving Object Proposals With Multi-Thresholding Straddling Expansion
CVPR 2015
Active Learning from Relative Queries
IJCAI 2013