Huaisheng Zhu - RankMe

34 papers A* 8B 1Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Meta-Reinforcement Learning with Self-Reflection for Agentic Search. CoRR Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi
2025	A*	`conf`	DSPO: Direct Score Preference Optimization for Diffusion Model Alignment. ICLR Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
2025	J	`jnl`	Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. CoRR Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen
2025	J	`jnl`	Optimizing Token Choice for Code Watermarking: A RL Approach. CoRR Zhimeng Guo, Huaisheng Zhu, Siyuan Xu, Hangfan Zhang, Teng Xiao, Minhao Cheng
2025	A*	`conf`	Reinforcement Learning for Large Language Models via Group Preference Reward Shaping. EMNLP Huaisheng Zhu, Siyuan Xu, Hangfan Zhang, Teng Xiao, Zhimeng Guo, Shijie Zhou, Shuyue Hu, Vasant G. Honavar
2025	J	`jnl`	Simple Denoising Diffusion Language Models. CoRR Huaisheng Zhu, Zhengyu Chen, Shijie Zhou, Zhihui Xie, Yige Yuan, Zhimeng Guo, Siyuan Xu, Hangfan Zhang, Vasant G. Honavar, Teng Xiao
2025	—	`conf`	SmGNN: Link Prediction in Sparse Layers of Multi-layer Graphs. WebSci Huaisheng Zhu, Tianxiang Zhao, Zongyu Wu, Suhang Wang
2025	J	`jnl`	The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback. CoRR Hangfan Zhang, Siyuan Xu, Zhimeng Guo, Huaisheng Zhu, Shicheng Liu, Xinrun Wang, Qiaosheng Zhang, Yang Chen, Peng Ye, Lei Bai, Shuyue Hu
2024	J	`jnl`	3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
2024	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. Mach. Intell. Res. Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2024	—	`conf`	AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph. ASONAM (1) Huaisheng Zhu, Zongyu Wu, Tianxiang Zhao, Suhang Wang
2024	A*	`conf`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. NeurIPS Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. CoRR Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	A*	`conf`	Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024	J	`jnl`	Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements. CoRR Shijie Zhou, Huaisheng Zhu, Rohan Sharma, Ruiyi Zhang, Kaiyi Ji, Changyou Chen
2024	—	`conf`	GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. BIBM Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	J	`jnl`	GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. CoRR Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	A*	`conf`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. EMNLP Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	J	`jnl`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. CoRR Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	—	`conf`	Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2024	J	`jnl`	MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2023	J	`jnl`	Fairness-aware Message Passing for Graph Neural Networks. CoRR Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
2023	J	`jnl`	Learning fair models without sensitive attributes: A generative approach. Neurocomputing Huaisheng Zhu, Enyan Dai, Hui Liu, Suhang Wang
2023	J	`jnl`	On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2023	J	`jnl`	Self-Explainable Graph Neural Networks for Link Prediction. CoRR Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
2023	A*	`conf`	Simple and Asymmetric Graph Contrastive Learning without Augmentations. NeurIPS Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
2023	J	`jnl`	Simple and Asymmetric Graph Contrastive Learning without Augmentations. CoRR Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
2023	—	`conf`	You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. PAKDD (2) Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
2022	J	`jnl`	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
2022	J	`jnl`	Learning Fair Models without Sensitive Attributes: A Generative Approach. CoRR Huaisheng Zhu, Suhang Wang
2021	A*	`conf`	ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021	J	`jnl`	ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2020	B	`conf`	BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. CEC Liang Qu, Huaisheng Zhu, Yuhui Shi
2020	A*	`conf`	Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi