Haipeng Chen
35 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
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Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(6)
🗃️
Keyword Collector
(159)
⚡
Prolific Year
(8)
💎
Century Club
(30)
🔥
Unstoppable
(7)
📈
Trend Setter
❓
The Questioner
Conferences
AAAI (14)
IJCAI (8)
UAI (4)
EMNLP (3)
ICLR (3)
CVPR (1)
ICCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(6)
human pose estimation
(5)
causal inference
(3)
human motion prediction
(3)
video understanding
(3)
markov decision process
(3)
action recognition
(2)
pose sequence
(2)
optimal transport
(2)
synthetic data generation
(2)
generative adversarial network
(2)
influence maximization
(2)
cross-modal retrieval
(2)
graph neural network
(2)
feature extraction
(2)
remote sensing
(2)
diffusion model
(2)
pose estimation
(1)
causal reasoning
(1)
anomaly detection
(1)
Papers
Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos
AAAI 2026
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
AAAI 2026
Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval
AAAI 2026
VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation
AAAI 2026
Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-based Human Pose Estimation
AAAI 2026
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
ICLR 2025
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion
AAAI 2025
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
AAAI 2025
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
AAAI 2025
Population Aware Diffusion for Time Series Generation
AAAI 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
EMNLP 2025
Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
ICLR 2025
Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval
IJCAI 2025
Decentralized Online Learning in General-Sum Stackelberg Games
UAI 2024
RESTful-Llama: Connecting User Queries to RESTful APIs
EMNLP 2024
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
ICLR 2024
Rethinking Human Motion Prediction with Symplectic Integral
CVPR 2024
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval
AAAI 2024
Complex Contagion Influence Maximization: A Reinforcement Learning Approach
IJCAI 2023
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection
IJCAI 2023
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
IJCAI 2023
Using Public Data to Predict Demand for Mobile Health Clinics
AAAI 2022
Sequential Vaccine Allocation with Delayed Feedback
IJCAI 2022
Micronutrient Deficiency Prediction via Publicly Available Satellite Data
AAAI 2022
Robust reinforcement learning under minimax regret for green security
UAI 2021
Contingency-aware influence maximization: A reinforcement learning approach
UAI 2021
Motion Prediction Using Trajectory Cues
ICCV 2021
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
AAAI 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
NIPS 2021
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
AAAI 2021
Learning Behaviors with Uncertain Human Feedback
UAI 2020
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks
IJCAI 2019
An ensemble CNN method for biomedical entity normalization
EMNLP 2019
VEST: A System for Vulnerability Exploit Scoring & Timing
IJCAI 2019
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
IJCAI 2019