Zijian Li

Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning ACL 2026 Hierarchical Action Learning for Weakly-Supervised Action Segmentation CVPR 2026 RemedyGS: Defend 3D Gaussian Splatting Against Computation Cost Attacks CVPR 2026 A General Representation-Based Approach to Multi-Source Domain Adaptation ICML 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations ICLR 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025 Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation IJCNLP 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models NAACL 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning ICLR 2025 Causal Temporal Representation Learning with Nonstationary Sparse Transition NeurIPS 2024 DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation ICML 2024 Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning ICML 2024 E-Paraformer: A Faster and Better Parallel Transformer for Non-autoregressive End-to-End Mandarin Speech Recognition Interspeech 2024 Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation ICML 2024 Individual Causal Structure Learning from Population Data IJCAI 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions NeurIPS 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 Subspace Identification for Multi-Source Domain Adaptation NeurIPS 2023 HL-Net: Heterophily Learning Network for Scene Graph Generation CVPR 2022 Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection ECCV 2022 Aggregating From Multiple Target-Shifted Sources ICML 2021 Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment AAAI 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