Chenhao Zhang
17 papers · 2023–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π§ Keyword Pioneer π Cross-Pollinator (12) π Conference Polyglot (10) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(36)
π§
Keyword Pioneer
π₯
Mega-Team
(26)
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Prolific Year
(5)
ποΈ
Keyword Collector
(66)
π
Century Club
(15)
β
The Questioner
Conferences
AAAI (5)
ICLR (3)
ACL (2)
ACML (1)
COLING (1)
CVPR (1)
ECCV (1)
ICCV (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
graph neural network
(2)
multimodal large language model
(2)
graph representation learning
(2)
higher-order perception
(2)
benchmark evaluation
(2)
rate-distortion optimization
(2)
self-supervised learning
(1)
machine unlearning
(1)
motion estimation
(1)
data-free learning
(1)
model forgetting
(1)
model editing
(1)
fisher information
(1)
gaussian splatting
(1)
offline reinforcement learning
(1)
novel view synthesis
(1)
knowledge distillation
(1)
decision transformer
(1)
synthetic datum
(1)
Papers
Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction
AAAI 2026
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning
AAAI 2026
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
AAAI 2025
Toward Efficient Data-Free Unlearning
AAAI 2025
Can MLLMs Understand the Deep Implication Behind Chinese Images?
ACL 2025
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
COLING 2025
Improving Gaussian Splatting with Localized Points Management
CVPR 2025
AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression
AAAI 2025
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
ICLR 2025
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
ICLR 2025
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
IJCAI 2025
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
ICLR 2024
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
ACL 2024
Countering Relearning with Perception Revising Unlearning
ACML 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
NIPS 2024
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network
ECCV 2024
AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing
ICCV 2023