We stand with Ukraine

We stand with Ukraine

Kun Wang

Orcid: 0000-0003-0602-169X

Affiliations:

Nanyang Technological University, Singapore
University of Science and Technology of China, Department of Data Science, Hefei, China

According to our database¹, Kun Wang authored at least 188 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2026

Causal Prompts for Open-Vocabulary Video Instance Segmentation.

[DOI]

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Hengshuang Zhao

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Out-of-Distribution-Resistant Evaluations for Explanations of Graph Neural Networks.

[DOI]

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Roger Zimmermann

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IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Beyond LLaVA-HD: Diving Into High-Resolution Multimodal Large Language Models.

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IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

NuwaDynamics+: A Causality-Aware Generative Framework for Spatio-Temporal Representation Learning.

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IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs.

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CoRR, May, 2026

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion.

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CoRR, May, 2026

Mem-W: Latent Memory-Native GUI Agents.

[DOI]

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CoRR, May, 2026

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting.

[DOI]

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CoRR, May, 2026

Large Vision-Language Models Get Lost in Attention.

[DOI]

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CoRR, May, 2026

RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models.

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CoRR, May, 2026

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses.

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CoRR, May, 2026

MIRL: Mutual Information-Guided Reinforcement Learning for Vision-Language Models.

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CoRR, May, 2026

SaFeR-Steer: Evolving Multi-Turn MLLMs via Synthetic Bootstrapping and Feedback Dynamics.

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CoRR, April, 2026

NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals.

[DOI]

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CoRR, April, 2026

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook.

[DOI]

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Jiangning Zhang

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CoRR, April, 2026

Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model.

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CoRR, March, 2026

SafeSeek: Universal Attribution of Safety Circuits in Language Models.

[DOI]

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Moayad Aloqaily

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CoRR, March, 2026

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models.

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CoRR, March, 2026

Resource Consumption Threats in Large Language Models.

[DOI]

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CoRR, March, 2026

PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs.

[DOI]

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Anil Anthony Bharath

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CoRR, March, 2026

Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM.

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CoRR, March, 2026

SkillNet: Create, Evaluate, and Connect AI Skills.

[DOI]

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Yuchen Eleanor Jiang

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CoRR, March, 2026

SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety.

[DOI]

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CoRR, March, 2026

Disentangling Deception and Hallucination Failures in LLMs.

[DOI]

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CoRR, February, 2026

Diagnosing Knowledge Conflict in Multimodal Long-Chain Reasoning.

[DOI]

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CoRR, February, 2026

MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents.

[DOI]

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Moayad Aloqaily

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Prakhar Mehrotra

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CoRR, February, 2026

Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamics Mechanisms and Efficient Alignment.

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CoRR, February, 2026

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks.

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CoRR, February, 2026

AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models?

[DOI]

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CoRR, February, 2026

ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning.

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CoRR, February, 2026

RareAlert: Aligning heterogeneous large language model reasoning for early rare disease risk screening.

[DOI]

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CoRR, January, 2026

RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios.

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CoRR, January, 2026

ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models.

[DOI]

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Moayad Aloqaily

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CoRR, January, 2026

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

[DOI]

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Moayad Aloqaily

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CoRR, January, 2026

Streaming Hallucination Detection in Long Chain-of-Thought Reasoning.

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CoRR, January, 2026

CSSBench: Evaluating the Safety of Lightweight LLMs against Chinese-Specific Adversarial Patterns.

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CoRR, January, 2026

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.

[DOI]

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IEEE Intell. Syst., 2026

EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Calibrating Inference Time Alignment with Sequence-level Risk Accumulation.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Backdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models.

[DOI]

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Moayad Aloqaily

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Prakhar Mehrotra

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

JARVIS or Ultron? A Survey on the Safety and Security Threats of Computer-Using Agents.

[DOI]

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication.

[DOI]

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Memory in the Age of AI Agents.

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Wangchunshu Zhou

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CoRR, December, 2025

V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention.

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CoRR, December, 2025

LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems.

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CoRR, December, 2025

EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations.

[DOI]

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CoRR, December, 2025

AI Deception: Risks, Dynamics, and Controls.

[DOI]

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Hongjiang Zhang

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CoRR, November, 2025

Generative Photographic Control for Scene-Consistent Video Cinematic Editing.

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Chen Change Loy

CoRR, November, 2025

Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation.

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CoRR, November, 2025

Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation.

[DOI]

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CoRR, October, 2025

Mitigating Hallucination in Multimodal Reasoning via Functional Attention Control.

[DOI]

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CoRR, October, 2025

SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models.

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CoRR, October, 2025

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models.

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CoRR, October, 2025

Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery.

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IEEE Signal Process. Mag., September, 2025

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space.

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CoRR, September, 2025

OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment.

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CoRR, September, 2025

MAS<sup>2</sup>: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems.

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CoRR, September, 2025

DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models.

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CoRR, September, 2025

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning.

[DOI]

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CoRR, September, 2025

EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning.

[DOI]

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Dimitris N. Metaxas

CoRR, September, 2025

Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models.

[DOI]

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Moayad Aloqaily

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CoRR, September, 2025

VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations.

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CoRR, September, 2025

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting.

[DOI]

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CoRR, September, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

[DOI]

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CoRR, September, 2025

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark.

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CoRR, September, 2025

Revisiting Third-Party Library Detection: A Ground Truth Dataset and Its Implications Across Security Tasks.

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CoRR, September, 2025

AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?

[DOI]

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Wangchunshu Zhou

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CoRR, September, 2025

Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy.

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Int. J. Comput. Vis., August, 2025

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models.

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CoRR, August, 2025

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.

[DOI]

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CoRR, July, 2025

CircuitProbe: Dissecting Spatiotemporal Visual Semantics with Circuit Tracing.

[DOI]

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CoRR, July, 2025

Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation.

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CoRR, July, 2025

RECALLED: An Unbounded Resource Consumption Attack on Large Vision-Language Models.

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CoRR, July, 2025

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems.

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CoRR, June, 2025

AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents.

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CoRR, June, 2025

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems.

[DOI]

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CoRR, June, 2025

Advanced long-term earth system forecasting by learning the small-scale nature.

[DOI]

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CoRR, May, 2025

GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning.

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CoRR, May, 2025

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models.

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CoRR, May, 2025

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models.

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CoRR, May, 2025

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

[DOI]

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CoRR, May, 2025

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

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CoRR, May, 2025

CellVerse: Do Large Language Models Really Understand Cell Biology?

[DOI]

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CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

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Joey Tianyi Zhou

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Bhavya Kailkhura

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Felix Juefei-Xu

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CoRR, April, 2025

REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models.

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CoRR, April, 2025

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models.

[DOI]

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CoRR, April, 2025

Aligning Multimodal LLM with Human Preference: A Survey.

[DOI]

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CoRR, March, 2025

GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.

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CoRR, March, 2025

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management.

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CoRR, March, 2025

InstructAgent: Building User Controllable Recommender via LLM Agent.

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CoRR, February, 2025

CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models.

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CoRR, February, 2025

EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

[DOI]

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CoRR, February, 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.

[DOI]

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CoRR, February, 2025

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models.

[DOI]

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CoRR, January, 2025

AI-Empowered Latent Four-dimensional Variational Data Assimilation for River Discharge Forecasting.

[DOI]

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Gabriele Bertoli

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Enrica Caporali

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Matthew D. Piggott

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Rossella Arcucci

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Machine learning for modelling unstructured grid data in computational physics: A review.

[DOI]

Inf. Fusion, 2025

Recommender Systems Meet Large Language Model Agents: A Survey.

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Found. Trends Priv. Secur., 2025

Seg-VAR: Image Segmentation with Visual Autoregressive Modeling.

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Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LIFEBENCH: Evaluating Length Instruction Following in Large Language Models.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ACE: Concept Editing in Diffusion Models without Performance Degradation.

[DOI]

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

A Survey on Trustworthy LLM Agents: Threats and Countermeasures.

[DOI]

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-agent Architecture Search via Agentic Supernet.

[DOI]

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

KGMark: A Diffusion Watermark for Knowledge Graphs.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

On the Role of Attention Heads in Large Language Model Safety.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Sparsification via Mixture of Graphs.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Backdoor Graph Condensation.

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Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

ViLLa: Video Reasoning Segmentation with Large Language Model.

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Hengshuang Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

PUMA: Empowering Unified MLLM with Multi-Granular Visual Generation.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Latent Three-Dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting.

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Gabriele Bertoli

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Enrica Caporali

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Matthew D. Piggott

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Rossella Arcucci

Proceedings of the Computational Science - ICCS 2025 Workshops, 2025

DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Knowledge Graph-Driven Memory Editing with Directional Interventions.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MasRouter: Learning to Route LLMs for Multi-Agent Systems.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

NetSafe: Exploring the Topological Safety of Multi-agent System.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

iAgent: LLM Agent as a Shield between User and Recommender Systems.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.

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Roger Zimmermann

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IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts.

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IEEE Trans. Knowl. Data Eng., 2024

Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning.

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Knowl. Based Syst., 2024

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation.

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CoRR, 2024

A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective.

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CoRR, 2024

ViLLa: Video Reasoning Segmentation with Large Language Model.

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Hengshuang Zhao

CoRR, 2024

Graph Sparsification via Mixture of Graphs.

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CoRR, 2024

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering.

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CoRR, 2024

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.

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CoRR, 2024

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance.

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CoRR, 2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

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CoRR, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.

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CoRR, 2024

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks.

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CoRR, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

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CoRR, 2024

Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching.

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Joey Tianyi Zhou

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CoRR, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

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Proceedings of the ACM on Web Conference 2024, 2024

SyncVIS: Synchronized Video Instance Segmentation.

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Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Neuron Attributions in Multi-Modal Large Language Models.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field.

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Lottery Ticket Automated.

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Roger Zimmermann

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Network as Transformation Function in Data Assimilation.

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Matthew D. Piggott

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Rossella Arcucci

Proceedings of the Computational Science - ICCS 2024, 2024

CLEAR: Can Language Models Really Understand Causal Graphs?

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MolTC: Towards Molecular Relational Modeling In Language Models.

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction.

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IEEE Trans. Knowl. Data Eng., December, 2023

Few-shot forgery detection via Guided Adversarial Interpolation.

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Pattern Recognit., December, 2023

Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training.

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CoRR, 2023

To be or not to be? an exploration of continuously controllable prompt engineering.

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CoRR, 2023

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception.

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CoRR, 2023

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models.

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CoRR, 2023

TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation.

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Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Siamese DETR.

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Chen Change Loy

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

R<sup>2</sup>F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference.

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CoRR, 2022

R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation.

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Proceedings of the Computer Vision - ECCV 2022, 2022

ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification.

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Proceedings of the 29th International Conference on Computational Linguistics, 2022

MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

INTERN: A New Learning Paradigm Towards General Vision.

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CoRR, 2021

2020

Estimation of Urban Travel Time with Sparse Traffic Surveillance Data.

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Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

Adapting Object Detectors with Conditional Domain Normalization.

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Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Crafting GBD-Net for Object Detection.

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IEEE Trans. Pattern Anal. Mach. Intell., 2018

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DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks.

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Chen Change Loy

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IEEE Trans. Pattern Anal. Mach. Intell., 2017

Scene Graph Generation from Objects, Phrases and Caption Regions.

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CoRR, 2017

Chained Cascade Network for Object Detection.

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Proceedings of the IEEE International Conference on Computer Vision, 2017

Scene Graph Generation from Objects, Phrases and Region Captions.

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Proceedings of the IEEE International Conference on Computer Vision, 2017

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