Zijian Li
31 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(11)
🤝
Dynamic Duo
(16)
👑
Triple Crown
🏆
Grand Slam
🌱
Topic Pioneer
💎
Century Club
(30)
🗃️
Keyword Collector
(111)
⚡
Prolific Year
(9)
📈
Trend Setter
❓
The Questioner
🔥
Unstoppable
(8)
Conferences
ICLR (5)
ICML (5)
IJCAI (5)
NIPS (4)
AAAI (3)
ACL (2)
AACL (1)
CVPR (1)
ECCV (1)
EMNLP (1)
IJCNLP (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Keywords
representation learning
(4)
question answering
(3)
domain adaptation
(3)
causal inference
(3)
causal discovery
(2)
variational inference
(2)
transfer learning
(2)
chart reasoning
(2)
neural network
(2)
multi-source domain adaptation
(2)
graph neural network
(2)
latent variable
(2)
machine translation
(1)
temporal sequence
(1)
policy optimization
(1)
object detection
(1)
online learning
(1)
visual reasoning
(1)
temporal modeling
(1)
causal effect estimation
(1)
Papers
Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning
ACL 2026
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
ICLR 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
AAAI 2025
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation
AACL 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
EMNLP 2025
Causal Representation Learning from Multimodal Biomedical Observations
ICLR 2025
On the Identification of Temporal Causal Representation with Instantaneous Dependence
ICLR 2025
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
ICLR 2025
A General Representation-Based Approach to Multi-Source Domain Adaptation
ICML 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
IJCAI 2025
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation
IJCNLP 2025
Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models
NAACL 2025
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation
ICML 2024
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
ICLR 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
E-Paraformer: A Faster and Better Parallel Transformer for Non-autoregressive End-to-End Mandarin Speech Recognition
INTERSPEECH 2024
Individual Causal Structure Learning from Population Data
IJCAI 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
ICML 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
ICML 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NIPS 2024
Subspace Identification for Multi-Source Domain Adaptation
NIPS 2023
Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection
ECCV 2022
HL-Net: Heterophily Learning Network for Scene Graph Generation
CVPR 2022
Time Series Domain Adaptation via Sparse Associative Structure Alignment
AAAI 2021
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
NIPS 2021
Aggregating From Multiple Target-Shifted Sources
ICML 2021
TAG : Type Auxiliary Guiding for Code Comment Generation
ACL 2020
Learning Disentangled Semantic Representation for Domain Adaptation
IJCAI 2019
An Encoder-Decoder Framework Translating Natural Language to Database Queries
IJCAI 2018