Junxiao (Cody) Wang
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Associate Professor |
About Me
I'm broadly interested in artificial intelligence system with a special focus on generative AI, distributed machine learning, AI security, privacy and interpretability.If you're interested in a research internship (remote), I welcome applicants of all levels (PhD/MSc/BSc). Don't hesitate to send me an email!
Recent Activities
Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026
Reviewer, International Conference on Learning Representations (ICLR) 2026
Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS) 2026
Reviewer, The Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
PC Member, European Conference on Artificial Intelligence (ECAI) 2025
Reviewer, International Conference on Computer Vision (ICCV) 2025
PC Member, International Joint Conference on Artificial Intelligence (IJCAI) 2025
Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
Associate Professor, Guangzhou University (GZHU), at Cyberspace Institute of Advanced Technology
Reviewer, International Joint Conference on Artificial Intelligence (IJCAI) 2024
Reviewer, European Conference on Computer Vision (ECCV) 2024
Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS) 2024
Reviewer, International Conference on Computer Vision (ICCV) 2023
Postdoctoral Fellow, working with Assistant Prof. Di Wang, at Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST)
Invited Talk, Ritsumeikan University and CCF Dalian International Seminar
Postdoctoral Fellow, working with IEEE Fellow, Prof. Song Guo, at Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU)
Visitor, working with Prof. Steve Uhlig, at School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London (QMUL)
PhD Candidate, supervised by IEEE Fellow, Prof. Keqiu Li, at School of Computer Science and Technology (CS), Dalian University of Technology (DUT)
News
Sep 2025 I was invited to serve as a Reviewer for CVPR2026.
Sep 2025 I was invited to serve as a Reviewer for ICLR2026.
Aug 2025 Our paper entitled "Enhancing Inductive Knowledge Graph Completion with Contextual Relation Topology Learning" was accepted by Knowledge-Based Systems.
Aug 2025 I was invited to serve as a Reviewer for AISTATS2026.
Aug 2025 Our paper entitled "Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment" was accepted by EMNLP2025.
Aug 2025 Our paper entitled "Federated Learning on Heterogeneous and Long-Tailed Data via Disentangled Representation" was accepted by IEEE Transactions on Mobile Computing.
Aug 2025 Our paper entitled "Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis" was available in arxiv.org.
Aug 2025 Our paper entitled "A Survey on Zeroth-Order Optimization for Machine Learning" was accepted by WISA2025.
Aug 2025 Our paper entitled "Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis" was accepted by CIKM2025.
Jul 2025 Our paper entitled "Fine-Grained Vision-Language Modeling for Multimodal Training Assistants in Augmented Reality" was available in arxiv.org.
Jul 2025 Our paper entitled "Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment" was available in arxiv.org.
Jul 2025 Our paper entitled "FlashDP: Private Training Large Language Models with Efficient DP-SGD" was available in arxiv.org.
Jul 2025 Our paper entitled "Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory" was accepted by COLM2025.
May 2025 I was invited to serve as a Reviewer for NeurIPS2025.
Apr 2025 I was invited to serve as a PC Member for ECAI2025.
Mar 2025 Our paper entitled "ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory" was available in arxiv.org.
Feb 2025 I was invited to serve as a Reviewer for ICCV2025.
Jan 2025 Our paper entitled "Federated learning with complete service commitment of data heterogeneity" was accepted by Knowledge-Based Systems.
Dec 2024 Our paper entitled "A Survey on Federated Long-Tailed Learning" was accepted by Chinese Journal of Computers.
Dec 2024 Our paper entitled "Enhancing Inductive Knowledge Graph Completion with Contextual Relation Topology Learning" was available in SSRN.
Nov 2024 I was invited to serve as a PC Member for IJCAI2025.
Nov 2024 I was invited to serve as a Reviewer for CVPR2025.
Oct 2024 Our paper entitled "ZO-Offloading: Fine-Tuning LLMs with 100 Billion Parameters on a Single GPU" was accepted by AFM Workshop of NeurIPS2024.
Oct 2024 Our paper entitled "FlashDP: Memory-Efficient and High-Throughput DP-SGD Training for Large Language Models" was accepted by AFM Workshop of NeurIPS2024.
Sep 2024 Our paper entitled "Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing" was accepted by NeurIPS2024.
Sep 2024 I was invited to serve as a Reviewer for AISTATS2025.
Jul 2024 Our paper entitled "Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning" was accepted by IEEE Transactions on Mobile Computing.
May 2024 Our paper entitled "Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality" was accepted by ACL2024.
May 2024 Our paper entitled "Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality" was available in arxiv.org.
May 2024 I started my research at Guangzhou University as an Associate Professor.
Apr 2024 Our paper entitled "Exploring Amplified Heterogeneity Arising from Heavy-Tailed Distributions in Federated Learning" was accepted by IEEE Transactions on Mobile Computing.
Apr 2024 Our paper entitled "Towards Light Adaptation of Large Language Models For Personal Hardware" was accepted by EdgeFM Workshop of MobiSys2024.
Apr 2024 Our paper entitled "Rethinking Personalized Client Collaboration in Federated Learning" was accepted by IEEE Transactions on Mobile Computing.
Mar 2024 I was invited to serve as a Reviewer for IJCAI2024.
Jan 2024 Our paper entitled "Faithful Vision-Language Interpretation via Concept Bottleneck Models" was accepted by ICLR2024.
Jan 2024 I was invited to serve as a Reviewer for ECCV2024.
Sep 2023 Our paper entitled "Towards Test-Time Refusals via Concept Negation" was accepted by NeurIPS2023.
Sep 2023 I was invited to serve as a Reviewer for AISTATS2024.
Aug 2023 Our paper entitled "PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model" was accepted by IEEE Transactions on Mobile Computing.
Jun 2023 Our paper entitled "On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions" was available in arxiv.org.
May 2023 Our paper entitled "Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware" was accepted by KDD2023.
May 2023 I was invited to serve as a Reviewer for ICCV2023.
Mar 2023 Our paper entitled "DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning" was available in arxiv.org.
Feb 2023 Our paper entitled "PMR: Prototypical Modal Rebalance for Multimodal Learning" was accepted by CVPR2023.
Feb 2023 I started my research at King Abdullah University of Science and Technology as a Postdoctoral Fellow.
Jan 2023 Our paper entitled "pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning" was accepted by WWW2023.
Nov 2022 Our paper entitled "Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application" was available in arxiv.org.
Nov 2022 Our paper entitled "PMR: Prototypical Modal Rebalance for Multimodal Learning" was available in arxiv.org.
Nov 2022 Our paper entitled "FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers" was available in arxiv.org.
Aug 2022 Our paper entitled "PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model" was available in arxiv.org.
Aug 2022 Our paper entitled "Federated Unlearning: Guarantee the Right of Clients to Forget" was accepted by IEEE Network.
Apr 2022 Our paper entitled "Efficient Integrity Authentication Scheme for Large-scale RFID Systems" was accepted by IEEE Transactions on Mobile Computing.
Apr 2022 Our paper entitled "A Survey on Gradient Inversion: Attacks, Defenses and Future Directions" was accepted by IJCAI2022.
Mar 2022 I was invited to give a talk on Ritsumeikan University & CCF Dalian International Seminar.
Feb 2022 Our paper entitled "Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space" was available in arxiv.org.
Jan 2022 Our paper entitled "Federated Unlearning via Class-Discriminative Pruning" was accepted by WWW2022.
Dec 2021 Our paper entitled "Protect Privacy from Gradient Leakage Attack in Federated Learning" was accepted by INFOCOM2022.
Oct 2021 Our paper entitled "Federated Unlearning via Class-Discriminative Pruning" was available in arxiv.org.
Mar 2021 I started my research at Hong Kong Polytechnic University as a Postdoctoral Fellow.
Feb 2020 Our paper entitled "Click-UP: Toward the Software Upgrade of Click-Based Modular Network Function" was accepted by IEEE Systems Journal.
Sep 2018 I started my research at Queen Mary University of London as a Visitor.
Jun 2018 Our paper entitled "CLICK-UP: Towards Software Upgrades of Click-driven Stateful Network Elements" was accepted by Demo track of SIGCOMM2018.
Sep 2016 I started my research at Dalian University of Technology as a PhD Candidate.