Junkang Wu - RankMe

45 papers A* 15A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. Int. J. Comput. Vis. Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2026	J	`jnl`	Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang
2026	J	`jnl`	Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He
2026	A*	`conf`	Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. AAAI Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2026	J	`jnl`	On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou
2025	J	`jnl`	AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. CoRR Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2025	J	`jnl`	Aligning Multimodal LLM with Human Preference: A Survey. CoRR Tao Yu, Yifan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan
2025	A*	`conf`	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. ICML Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. CoRR Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2025	A*	`conf`	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. ICML Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025	J	`jnl`	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025	—	`conf`	LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. EMNLP (Findings) Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang
2025	J	`jnl`	Larger or Smaller Reward Margins to Select Preferences for Alignment? CoRR Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. ICML Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin
2025	J	`jnl`	MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. CoRR Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Liang Wang, Rong Jin, Tieniu Tan
2025	J	`jnl`	On Negative-aware Preference Optimization for Recommendation. CoRR Chenlu Ding, Daoxuan Liu, Jiancan Wu, Xingyu Hu, Junkang Wu, Haitao Wang, Yongkang Wang, Xingxing Wang, Xiang Wang
2025	J	`jnl`	Quantile Advantage Estimation for Entropy-Safe Reasoning. CoRR Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
2025	J	`jnl`	RePO: ReLU-based Preference Optimization. CoRR Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	—	`conf`	Robust Preference Optimization via Dynamic Target Margins. ACL (Findings) Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025	J	`jnl`	Robust Preference Optimization via Dynamic Target Margins. CoRR Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025	A*	`conf`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. ICLR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	J	`jnl`	bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs. CoRR Wence Ji, Jiancan Wu, Aiying Li, Shuyi Zhang, Junkang Wu, An Zhang, Xiang Wang, Xiangnan He
2024	A*	`conf`	BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2024	A*	`conf`	Direct Multi-Turn Preference Optimization for Language Agents. EMNLP Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
2024	J	`jnl`	Direct Multi-Turn Preference Optimization for Language Agents. CoRR Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
2024	J	`jnl`	Large Language Models Empower Personalized Valuation in Auction. CoRR Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Chi Luo, Junkang Wu, Jiancan Wu, An Zhang, Xiang Wang
2024	A*	`conf`	Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
2024	J	`jnl`	Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. CoRR Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
2024	A*	`conf`	Masked Graph Modeling with Multi- View Contrast. ICDE Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang
2024	J	`jnl`	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	A*	`conf`	β-DPO: Direct Preference Optimization with Dynamic β. NeurIPS Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2024	J	`jnl`	β-DPO: Direct Preference Optimization with Dynamic β. CoRR Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2023	J	`jnl`	Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
2023	A*	`conf`	Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
2023	J	`jnl`	BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2023	A*	`conf`	Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
2023	J	`jnl`	FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He
2023	A*	`conf`	On the Theories Behind Hard Negative Sampling for Recommendation. WWW Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
2023	J	`jnl`	On the Theories Behind Hard Negative Sampling for Recommendation. CoRR Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
2023	A*	`conf`	Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
2023	J	`jnl`	Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
2021	A	`conf`	DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
2021	J	`jnl`	DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CoRR Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He