Peng Chen
50 papers · 2016–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 31 separate collaboration groups - the largest holds only 10% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Peng Chen?
12 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Bin Yang, Chenjuan Guo, Yang Shu
5 papers
· 2024–2026
· ICLR, ICML, AAAI
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Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
AAAI 2026
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
ICLR 2025
LightGTS: A Lightweight General Time Series Forecasting Model
ICML 2025
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
ICML 2025
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
ICLR 2024
19 papers whose co-authors appear nowhere else under this name
AT²PO: Agentic Turn-based Policy Optimization via Tree Search
ACL 2026
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning
CVPR 2026
Incomplete In-context Learning
ACL 2026
ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning
AAAI 2026
A Comprehensive Literary Chinese Reading Comprehension Dataset with an Evidence Curation Based Solution
EMNLP 2025
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
IJCAI 2025
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
ICLR 2025
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
ICLR 2025
Multi-Modal Large Language Models are Effective Vision Learners
WACV 2025
On Collaborating Small and Large Models For Few-shot Intent Detection
EMNLP 2025
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
SemEval 2024
Derivative-enhanced Deep Operator Network
NeurIPS 2024
Learning Pseudo-Contractive Denoisers for Inverse Problems
ICML 2024
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration
EMNLP 2024
Real Appearance Modeling for More General Deepfake Detection
ECCV 2024
PRODIGY: Enabling In-context Learning Over Graphs
NeurIPS 2023
PermuteFormer: Efficient Relative Position Encoding for Long Sequences
EMNLP 2021
Learning to Film From Professional Human Motion Videos
CVPR 2019
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
EMNLP 2017