← Authors

Kai Chen

186 papers · 2012–2026 · 18 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (18) πŸ—ΊοΈ Taxonomy Completionist (41) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (7) 🀝 Dynamic Duo (41) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) 🧬 Topic Evolution πŸ† Grand Slam πŸ‘₯ Mega-Team (30) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (23) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ❓ The Questioner (6) πŸ’Ž Century Club (184) πŸ—ƒοΈ Keyword Collector (112) ⚑ Prolific Year (64) πŸ“ˆ Trend Setter

Conferences

CVPR (34) ACL (23) NIPS (21) AAAI (18) ECCV (14) ICCV (14) NSDI (13) EMNLP (11) ICLR (10) INTERSPEECH (7) WACV (4) IJCAI (4) NAACL (3) COLING (3) MICCAI (2) ICML (2) OSDI (2) RSS (1)

Top co-authors

Dahua Lin (41) Wenwei Zhang (28) Songyang Zhang (19) Lanqing Hong (18) Haodong Duan (17) Zhenguo Li (17) Jiaqi Wang (15) Chen Change Loy (15) Dit-Yan Yeung (12) Yining Li (12)

Research topics

Privacy (2) Mathematics (1)

Keywords

large language model (34) object detection (13) benchmark evaluation (13) diffusion model (12) semantic segmentation (9) language model (8) synthetic datum (7) self-supervised learning (6) multimodal learning (6) instruction tuning (6) instance segmentation (6) evaluation benchmark (6) multimodal large language model (6) multi-modal learning (5) code generation (5) representation learning (5) knowledge distillation (5) image segmentation (4) domain adaptation (4) reinforcement learning (4)

Papers

Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes WACV 2026
Rethinking Flow and Diffusion Bridge Models for Speech Enhancement AAAI 2026
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement ACL 2025
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices ACL 2025
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution ACL 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model ACL 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025
Are Your LLMs Capable of Stable Reasoning? ACL 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models COLING 2025
Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study COLING 2025
MotionShot: Adaptive Motion Transfer across Arbitrary Objects for Text-to-Video Generation ICCV 2025
Information Density Principle for MLLM Benchmarks ICCV 2025
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution ICCV 2025
MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control ICCV 2025
Training Language Models to Critique With Multi-agent Feedback EMNLP 2025
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward EMNLP 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025
STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models EMNLP 2025
MusKGC: A Flexible Multi-source Knowledge Enhancement Framework for Open-World Knowledge Graph Completion EMNLP 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025
SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction CVPR 2025
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language CVPR 2025
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models CVPR 2025
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation CVPR 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models WACV 2025
Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases WACV 2025
Social Recommendation via Graph-Level Counterfactual Augmentation AAAI 2025
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure AAAI 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities AAAI 2025
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs AAAI 2025
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater AAAI 2025
RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything ICLR 2025
CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction ICLR 2025
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLMs ICCV 2025
Enabling Efficient GPU Communication over Multiple NICs with FuseLink OSDI 2025
GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters NSDI 2025
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data MICCAI 2025
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher ICLR 2025
FaceShot: Bring Any Character into Life ICLR 2025
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs ICLR 2025
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025
Redundancy Principles for MLLMs Benchmarks ACL 2025
Scaling up the State Size of RNN LLMs for Long-Context Scenarios ACL 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference ACL 2025
Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NIPS 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024
Vision Foundation Model Enables Generalizable Object Pose Estimation NIPS 2024
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation NIPS 2024
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NIPS 2024
MotionBooth: Motion-Aware Customized Text-to-Video Generation NIPS 2024
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD NIPS 2024
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NIPS 2024
CriticEval: Evaluating Large-scale Language Model as Critic NIPS 2024
GTA: A Benchmark for General Tool Agents NIPS 2024
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding NIPS 2024
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems NIPS 2024
YOLOv10: Real-Time End-to-End Object Detection NIPS 2024
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs NIPS 2024
Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis AAAI 2024
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering AAAI 2024
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models AAAI 2024
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation ACL 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step ACL 2024
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark ACL 2024
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models ACL 2024
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs ACL 2024
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024
LLM Factoscope: Uncovering LLMs’ Factual Discernment through Measuring Inner States ACL 2024
EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario COLING 2024
PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models CVPR 2024
OMG-Seg: Is One Model Good Enough For All Segmentation? CVPR 2024
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement CVPR 2024
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI CVPR 2024
Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text CVPR 2024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation CVPR 2024
Towards Language-Driven Video Inpainting via Multimodal Large Language Models CVPR 2024
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models CVPR 2024
4D Contrastive Superflows are Dense 3D Representation Learners ECCV 2024
MMBENCH: Is Your Multi-Modal Model an All-around Player? ECCV 2024
ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities ECCV 2024
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation ECCV 2024
"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024
Implicit Concept Removal of Diffusion Models ECCV 2024
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments ECCV 2024
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively ECCV 2024
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models ECCV 2024
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting ECCV 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models EMNLP 2024
How Susceptible are Large Language Models to Ideological Manipulation? EMNLP 2024
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs EMNLP 2024
Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia EMNLP 2024
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ICLR 2024
MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024
Can AI Assistants Know What They Don’t Know? ICML 2024
Differentiable Model Scaling using Differentiable Topk ICML 2024
Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification IJCAI 2024
Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling MICCAI 2024
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks NAACL 2024
BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues NAACL 2024
Flow Scheduling with Imprecise Knowledge NSDI 2024
Accelerating Neural Recommendation Training with Embedding Scheduling NSDI 2024
Towards Domain-Specific Network Transport for Distributed DNN Training NSDI 2024
Any-point Trajectory Modeling for Policy Learning RSS 2024
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts ICLR 2023
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models NIPS 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation NIPS 2023
SRNIC: A Scalable Architecture for RDMA NICs NSDI 2023
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection CVPR 2023
Dense Distinct Query for End-to-End Object Detection CVPR 2023
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023
Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023
TG-VQA: Ternary Game of Video Question Answering IJCAI 2023
Learning Shape Primitives via Implicit Convexity Regularization ICCV 2023
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions ICCV 2023
Improving Pixel-based MIM by Reducing Wasted Modeling Capability ICCV 2023
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework ICCV 2023
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation ICCV 2023
Boosting Point Clouds Rendering via Radiance Mapping AAAI 2023
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation AAAI 2023
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation CVPR 2022
TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition CVPR 2022
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation NIPS 2022
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion ACL 2022
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022
FAERY: An FPGA-accelerated Embedding-based Retrieval System OSDI 2022
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation CVPR 2022
Group R-CNN for Weakly Semi-Supervised Object Detection With Points CVPR 2022
GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors CVPR 2022
Revisiting Skeleton-Based Action Recognition CVPR 2022
OCSampler: Compressing Videos to One Clip With Single-Step Sampling CVPR 2022
Dense Siamese Network for Dense Unsupervised Learning ECCV 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking ECCV 2022
Attacking Video Recognition Models with Bullet-Screen Comments AAAI 2022
SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation EMNLP 2022
Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing NSDI 2022
Seesaw Loss for Long-Tailed Instance Segmentation CVPR 2021
MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation ICCV 2021
DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement INTERSPEECH 2021
Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021
Positional Encoding As Spatial Inductive Bias in GANs CVPR 2021
Few-Shot Object Detection via Association and DIscrimination NIPS 2021
K-Net: Towards Unified Image Segmentation NIPS 2021
Temporal ROI Align for Video Object Recognition AAAI 2021
Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation ICCV 2021
U-Net Based Direct-Path Dominance Test for Robust Direction-of-Arrival Estimation INTERSPEECH 2020
Prime Sample Attention in Object Detection CVPR 2020
Side-Aware Boundary Localization for More Precise Object Detection ECCV 2020
Nonlinear Residual Echo Suppression Based on Multi-Stream Conv-TasNet INTERSPEECH 2020
Real-Time Scene Text Detection with Differentiable Binarization AAAI 2020
An End-to-End Audio Classification System Based on Raw Waveforms and Mix-Training Strategy INTERSPEECH 2019
Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019
Region Proposal by Guided Anchoring CVPR 2019
Extracting Symptoms and their Status from Clinical Conversations ACL 2019
CARAFE: Content-Aware ReAssembly of FEatures ICCV 2019
Hybrid Task Cascade for Instance Segmentation CVPR 2019
Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model INTERSPEECH 2019
Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation INTERSPEECH 2019
Optimizing Video Object Detection via a Scale-Time Lattice CVPR 2018
PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication NSDI 2018
Semi-supervised Learning for Information Extraction from Dialogue INTERSPEECH 2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension ICLR 2018
Enabling Wide-Spread Communications on Optical Fabric with MegaSwitch NSDI 2017
Discover and Learn New Objects From Documentaries CVPR 2017
Enabling ECN in Multi-Service Multi-Queue Data Centers NSDI 2016
Planning with Task-Oriented Knowledge Acquisition for a Service Robot IJCAI 2016
Information-Agnostic Flow Scheduling for Commodity Data Centers NSDI 2015
Explicit Path Control in Commodity Data Centers: Design and Applications NSDI 2015
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
Large Scale Distributed Deep Networks NIPS 2012
OSA: An Optical Switching Architecture for Data Center Networks with Unprecedented Flexibility NSDI 2012