Fengda Zhang - RankMe

30 papers A* 6Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MIND: Benchmarking Memory Consistency and Action Control in World Models. CoRR Yixuan Ye, Xuanyu Lu, Yuxin Jiang, Yuchao Gu, Rui Zhao, Qiwei Liang, Jiachun Pan, Fengda Zhang, Weijia Wu, Alex Jinpeng Wang
2025	J	`jnl`	Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation. CoRR Zijing Hu, Yunze Tong, Fengda Zhang, Junkun Yuan, Jun Xiao, Kun Kuang
2025	A*	`conf`	D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples. ICML Zijing Hu, Fengda Zhang, Kun Kuang
2025	J	`jnl`	D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples. CoRR Zijing Hu, Fengda Zhang, Kun Kuang
2025	J	`jnl`	Heartcare Suite: Multi-dimensional Understanding of ECG with Raw Multi-lead Signal Modeling. CoRR Yihan Xie, Sijing Li, Tianwei Lin, Zhuonan Wang, Chenglin Yang, Yu Zhong, Wenqiao Zhang, Haoyuan Li, Hao Jiang, Fengda Zhang, Qishan Chen, Jun Xiao, Yueting Zhuang, Beng Chin Ooi
2025	A*	`conf`	Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data. ICML Yunze Tong, Fengda Zhang, Zihao Tang, Kaifeng Gao, Kai Huang, Pengfei Lyu, Jun Xiao, Kun Kuang
2025	J	`jnl`	Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning. CoRR Bohan Wang, Zhongqi Yue, Fengda Zhang, Shuo Chen, Li'an Bi, Junzhe Zhang, Xue Song, Kennard Yanting Chan, Jiachun Pan, Weijia Wu, Mingze Zhou, Wang Lin, Kaihang Pan, Saining Zhang, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang
2025	A*	`conf`	Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards. CVPR Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu
2025	J	`jnl`	Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards. CoRR Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu
2025	J	`jnl`	WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation. CoRR Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua
2024	A*	`conf`	Distributionally Generative Augmentation for Fair Facial Attribute Classification. CVPR Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024	J	`jnl`	Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024	—	`conf`	Enhancing Troubleshooting Task-Oriented Dialog Systems with Large Language Models. ICIRA (6) Jiahao Zhou, Qiang Zhang, Fengda Zhang, Caixia Yuan
2024	A*	`conf`	Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning. EMNLP Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou
2024	J	`jnl`	R3HF: Reward Redistribution for Enhancing Reinforcement Learning from Human Feedback. CoRR Jiahui Li, Tai-Wei Chang, Fengda Zhang, Kun Kuang, Long Chen
2024	—	`conf`	Recognition of short-circuit discharge sounds in transmission lines based on hybrid voiceprint features. IoTAAI Wenjie Zheng, Fengda Zhang, Xiaobin Sun, Haijie Tan, Chengqi Li
2024	J	`jnl`	Unified fair federated learning for digital healthcare. Patterns Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao
2023	J	`jnl`	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
2023	—	`conf`	FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu
2023	A*	`conf`	Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
2023	J	`jnl`	Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
2023	J	`jnl`	Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
2022	—	`conf`	Recognition of Transformer High Frequency Partial Discharge Based on Time Domain Feature. ICACT Meng Liu, Ying Lin, Qingdong Zhu, Junxin Wang, Yi Yang, Chao Gu, Wenbing Zhu, Wenjie Zheng, Demeng Bai, Jiafeng Qin, Jian Wang, Fengda Zhang, Zhuangzhuang Li
2021	J	`jnl`	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Unified Group Fairness on Federated Learning. CoRR Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
2020	J	`jnl`	Evaluation Framework For Large-scale Federated Learning. CoRR Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu
2020	J	`jnl`	Federated Mutual Learning. CoRR Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu
2020	J	`jnl`	Federated Unsupervised Representation Learning. CoRR Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li
2019	—	`conf`	Distributed Modelling Approaches for Data Privacy Preserving. BigMM Chao Wu, Fengda Zhang, Fei Wu
2019	—	`conf`	Training Encrypted Models with Privacy-preserved Data on Blockchain. ICVISP Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu