Chang Zhou
47 papers · 2018–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (83) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
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Topic Evolution
π§
Keyword Pioneer
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Grand Slam
π¬
Deep Specialist
(11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
π
Century Club Β· Bronze
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(245)
Venues
Top co-authors
Research topics
Machine Learning
(28)
Artificial Intelligence
(26)
Core AI
(25)
Deep Learning
(24)
Learning Types Β· Machine Learning
(16)
Natural Language Processing
(15)
Learning Types Β· Deep Learning
(13)
Computer Vision
(12)
Application Areas
(12)
Resources & Methods
(11)
Architectures
(10)
Core Methods
(6)
Generation
(6)
Analysis
(5)
Techniques
(5)
Keywords
large language model
(8)
multimodal learning
(6)
language model
(5)
transfer learning
(4)
supervised fine-tuning
(3)
instruction tuning
(3)
image captioning
(3)
vision-language model
(2)
parameter-efficient fine-tuning
(2)
neural network
(2)
reward model
(2)
image generation
(2)
convolutional neural network
(2)
reinforcement learning
(2)
variational autoencoder
(2)
question answering
(2)
transformer architecture
(2)
multi-task learning
(2)
attention mechanism
(2)
domain generalization
(1)
Papers
APPO: Attention-guided Perception Policy Optimization for Video Reasoning
CVPR 2026
Investigating Data Pruning for Pretraining Biological Foundation Models at Scale
AAAI 2026
RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design
AAAI 2026
Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation
CVPR 2025
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web
ACL 2025
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
ACL 2025
LM2Protein: A Structure-to-Token Protein Large Language Model
EMNLP 2025
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
ACL 2025
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
ICLR 2025
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
ACL 2024
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
ECCV 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
EMNLP 2024
Controllable 3D Face Generation with Conditional Style Code Diffusion
AAAI 2024
DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection
IJCAI 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
ACL 2024
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
ICLR 2024
Language Models can Evaluate Themselves via Probability Discrepancy
ACL 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
ACL 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
EMNLP 2024
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
NAACL 2024
Sketch and Refine: Towards Fast and Accurate Lane Detection
AAAI 2024
Speculative Contrastive Decoding
ACL 2024
Synthesizing Text-to-SQL Data from Weak and Strong LLMs
ACL 2024
Training-Free Long-Context Scaling of Large Language Models
ICML 2024
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation
CVPR 2023
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
ICCV 2023
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition
Interspeech 2023
Prompt Tuning for Unified Multimodal Pretrained Models
ACL 2023
Transferring General Multimodal Pretrained Models to Text Recognition
ACL 2023
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
ICCV 2023
Video Frame Interpolation with Densely Queried Bilateral Correlation
IJCAI 2023
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
ICML 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
ICML 2022
Respecting Transfer Gap in Knowledge Distillation
NeurIPS 2022
Single Stage Virtual Try-On via Deformable Attention Flows
ECCV 2022
Causal Attention for Unbiased Visual Recognition
ICCV 2021
CogView: Mastering Text-to-Image Generation via Transformers
NeurIPS 2021
Learning to Rehearse in Long Sequence Memorization
ICML 2021
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation
ACL 2021
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
NeurIPS 2021
CogLTX: Applying BERT to Long Texts
NeurIPS 2020
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities
ICLR 2020
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
ACL 2019
Deep Interest Evolution Network for Click-Through Rate Prediction
AAAI 2019
Learning Disentangled Representations for Recommendation
NeurIPS 2019
Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning
IJCAI 2018