Haokun Chen - RankMe

61 papers A* 15A 2C 1Journal 36Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. AAAI Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2025	—	`conf`	A Study on Joint Model and Hyperparameter Optimization for Federated Transformer Pre-Training. FLLM Claudia Großer, Denis Krompaß, Haokun Chen, Mark Buckley, Thomas A. Runkler
2025	J	`jnl`	AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. CoRR Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2025	J	`jnl`	Bag of Tricks for Subverting Reasoning-based Safety Guardrails. CoRR Shuo Chen, Zhen Han, Haokun Chen, Bailan He, Shengyun Si, Jingpei Wu, Philip Torr, Volker Tresp, Jindong Gu
2025	A	`conf`	CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. WACV Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2025	J	`jnl`	CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. CoRR Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma
2025	J	`jnl`	DGPAS: DQN-GRU guided distributed DNN pipeline training and adjacent scheduling in edge networks. Comput. Networks Jiayi Li, Xiaogang Wang, Haokun Chen, Zexin Wu, Ziqi Zhu, Jian Cao, Rajkumar Buyya
2025	J	`jnl`	Deep Research Brings Deeper Harm. CoRR Shuo Chen, Zonggen Li, Zhen Han, Bailan He, Tong Liu, Haokun Chen, Georg Groh, Philip Torr, Volker Tresp, Jindong Gu
2025	J	`jnl`	Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. CoRR Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp
2025	J	`jnl`	DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design. CoRR Xiwei Hu, Haokun Chen, Zhongqi Qi, Hui Zhang, Dexiang Hong, Jie Shao, Xinglong Wu
2025	J	`jnl`	EmoAgent: Multi-Agent Collaboration of Plan, Edit, and Critic, for Affective Image Manipulation. CoRR Qi Mao, Haobo Hu, Yujie He, Difei Gao, Haokun Chen, Libiao Jin
2025	A*	`conf`	FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CVPR Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2025	J	`jnl`	FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models. CoRR Yao Zhang, Hewei Gao, Haokun Chen, Weiguo Li, Yunpu Ma, Volker Tresp
2025	A*	`conf`	FedPop: Federated Population-based Hyperparameter Tuning. AAAI Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp
2025	J	`jnl`	GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning. CoRR Yao Zhang, Yu Wu, Haowei Zhang, Weiguo Li, Haokun Chen, Jingpei Wu, Guohao Li, Zhen Han, Volker Tresp
2025	—	`conf`	LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. ACL (1) Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma
2025	J	`jnl`	My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals. CoRR Jian Lan, Yifei Fu, Udo Schlegel, Gengyuan Zhang, Tanveer Hannan, Haokun Chen, Thomas Seidl
2025	—	`conf`	Reinforcement Learning Based Path Planning for 3D Printed Bio-inspired Voronoi Structures. RCAR Xiangyu Wang, Haokun Chen, Kai Tang, Pengcheng Hu
2025	J	`jnl`	SDRM: A truncated SVD-based dimensionality reduction approach to efficient edge inference in Multi-head Attention Networks. Knowl. Based Syst. Yuze Du, Xiaogang Wang, Haokun Chen, Chenfeng Zhang, Jian Cao, Rajkumar Buyya
2025	—	`conf`	Singularity-free PINN-based path planning method for the table-tilt five-axis machine RCAR Haokun Chen, Dong He, Jiancheng Hao, Pengcheng Hu, Kai Tang
2025	—	`conf`	Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models. EMNLP (Findings) Haokun Chen, Sebastian Szyller, Weilin Xu, Nageen Himayat
2025	J	`jnl`	Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models. CoRR Haokun Chen, Sebastian Szyller, Weilin Xu, Nageen Himayat
2025	A*	`conf`	SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. EMNLP Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou, Yunpu Ma, Volker Tresp
2025	J	`jnl`	SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. CoRR Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou, Yunpu Ma, Volker Tresp
2024	A*	`conf`	Building Variable-Sized Models via Learngene Pool. AAAI Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
2024	J	`jnl`	DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
2024	J	`jnl`	FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CoRR Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2024	A*	`conf`	FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2024	A*	`conf`	MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. AAAI Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang
2024	J	`jnl`	The L1-asymptotic behavior of strong solutions to the incompressible magneto-hydrodynamic equations in half-spaces. Appl. Math. Lett. Haokun Chen, Yong Wang
2024	A*	`conf`	Transformer as Linear Expansion of Learngene. AAAI Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng
2024	A*	`conf`	Vision Transformers as Probabilistic Expansion from Learngene. ICML Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng
2024	J	`jnl`	Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. CoRR Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma
2023	J	`jnl`	Building Variable-sized Models via Learngene Pool. CoRR Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng
2023	A*	`conf`	Exploring Diverse In-Context Configurations for Image Captioning. NeurIPS Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
2023	J	`jnl`	Exploring Diverse In-Context Configurations for Image Captioning. CoRR Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
2023	A*	`conf`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	FedPop: Federated Population-based Hyperparameter Tuning. CoRR Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu
2023	J	`jnl`	MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. CoRR Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang
2023	J	`jnl`	Manipulating the Label Space for In-Context Classification. CoRR Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng
2023	J	`jnl`	Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
2023	J	`jnl`	Transformer as Linear Expansion of Learngene. CoRR Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng
2022	J	`jnl`	CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2022	J	`jnl`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp
2022	J	`jnl`	Proactively Control Privacy in Recommender Systems. CoRR Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding
2022	C	`conf`	Towards Data-Free Domain Generalization. ACML Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2021	J	`jnl`	Towards Data-Free Domain Generalization. CoRR Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
2021	A	`conf`	Towards Precise Intra-camera Supervised Person Re-Identification. WACV Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua
2020	A*	`conf`	Intent Preference Decoupling for User Representation on Online Recommender System. IJCAI Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen
2020	A*	`conf`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	J	`jnl`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	J	`jnl`	State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
2020	J	`jnl`	Towards Precise Intra-camera Supervised Person Re-identification. CoRR Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua
2019	A*	`conf`	Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. AAAI Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
2018	—	`conf`	A Hybrid Framework for Query Processing and Data Analytics on Spark. APWeb/WAIM Workshops Haokun Chen, Xiaowang Zhang, Jiahui Zhang, Zhiyong Feng
2018	—	`conf`	An Ontology-based Approach to Adaptive Data Processing. ISWC (P&D/Industry/BlueSky) Haokun Chen, Xiaowang Zhang, Zhiyong Feng
2018	J	`jnl`	Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. CoRR Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
2018	J	`jnl`	Large-scale Interactive Recommendation with Tree-structured Policy Gradient. CoRR Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
2018	A*	`conf`	Neural Link Prediction over Aligned Networks. AAAI Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu