Zhixuan Chu
百人计划研究员
Works on large-model pretraining and reinforcement learning, agent development, and trustworthiness and interpretability of large models and agents.
Zhixuan Chu's lab at Zhejiang works on large language models, reasoning & agents and reinforcement learning. 41 papers since 2023, 31 at top venues, mostly ICLR and CIKM. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 76%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 10 papers2026 · T1 9 · collecting
- 7 papers2025 · T1 5
- 14 papers2024 · T1 10
- 10 papers2023 · T1 7
T1 venuesOtherVenues: ICLR, CIKM, AAAI, ACL, Findings of ACL
Research focuspaper titles that use each topic's words
- Large language models16 papers
- Reasoning & agents3 papers
- Reinforcement learning3 papers
- pretraining1 paper
- trustworthiness1 paper
Paper list
From DBLP.
202610 papers
- NDSS (T1)A Causal Perspective for Enhancing Jailbreak Attack and Defense (opens in a new tab)
- TKDE (T1)A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions (opens in a new tab)
- ICLR (T1)DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment (opens in a new tab)
- ICLR (T1)Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets (opens in a new tab)
- CVPR (T1)JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization (opens in a new tab)
- ACL (T1)Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training (opens in a new tab)
- ICLR (T1)Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models (opens in a new tab)
- Findings of ACLSafe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework (opens in a new tab)
- IJCV (T1)SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking (opens in a new tab)
- ACL (T1)Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics (opens in a new tab)
20257 papers
- IEEE Big DataEntity-Aware Pretraining of Large Language Models for Recommendation Systems (opens in a new tab)
- ICCV (T1)Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models (opens in a new tab)
- AAAI (T1)Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework (opens in a new tab)
- ICLR (T1)Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models (opens in a new tab)
- ICLR (T1)TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.Toward Defending Adversarial Patch Attacks With Mask-Reconstruction-Assisted Adversarial Training (opens in a new tab)
- EMNLP (T1)Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary (opens in a new tab)
202414 papers
- CCS (T1)A Causal Explainable Guardrails for Large Language Models (opens in a new tab)
- ACM Trans. Knowl. Discov. DataA Survey of Trustworthy Representation Learning Across Domains (opens in a new tab)
- CIKM (T1)Causal Interventional Prediction System for Robust and Explainable Effect Forecasting (opens in a new tab)
- Trans. Mach. Learn. Res.DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation (opens in a new tab)
- ICLR (T1)EasyTPP: Towards Open Benchmarking Temporal Point Processes (opens in a new tab)
- ICASSP (T1)Enhancing Event Sequence Modeling with Contrastive Relational Inference (opens in a new tab)
- KDD (T1)Intelligent Agents with LLM-based Process Automation (opens in a new tab)
- WWW (T1)Invariant Graph Learning for Causal Effect Estimation (opens in a new tab)
- AAAI (T1)LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs (opens in a new tab)
- CIKM (T1)Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting (opens in a new tab)
- Findings of ACLSelf-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models (opens in a new tab)
- AAAI (T1)Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction (opens in a new tab)
202310 papers
- ICDE (T1)Continual Causal Inference with Incremental Observational Data (opens in a new tab)
- CIKM (T1)Continual Learning in Predictive Autoscaling (opens in a new tab)
- AAAI Bridge ProgramContinual Treatment Effect Estimation: Challenges and Opportunities (opens in a new tab)
- ICDM WorkshopEnhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference (opens in a new tab)
- SDMEstimating Propensity Scores with Deep Adaptive Variable Selection (opens in a new tab)
- ICLR (T1)Fair Attribute Completion on Graph with Missing Attributes (opens in a new tab)
- CIKM (T1)Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data (opens in a new tab)
- NeurIPS (T1)Prompt-augmented Temporal Point Process for Streaming Event Sequence (opens in a new tab)
- IJCAI (T1)pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting (opens in a new tab)
- CIKM (T1)Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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