Junkang Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. | Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang |
| 2025 | ACL | Robust Preference Optimization via Dynamic Target Margins. | Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang |
| 2025 | EMNLP | LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. | 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 | ICLR | Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. | Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2025 | ICML | MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. | 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 | ICML | Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? | Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang |
| 2025 | ICML | DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. | Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He |
| 2025 | ICML | AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. | Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He |
| 2024 | EMNLP | Direct Multi-Turn Preference Optimization for Language Agents. | Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng |
| 2024 | ICDE | Masked Graph Modeling with Multi- View Contrast. | Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang |
| 2024 | ICDE | BSL: Understanding and Improving Softmax Loss for Recommendation. | Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang |
| 2024 | WWW | Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. | Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He |
| 2023 | IJCAI | Discriminative-Invariant Representation Learning for Unbiased Recommendation. | Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He |
| 2023 | WWW | Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. | Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He |
| 2023 | WWW | On the Theories Behind Hard Negative Sampling for Recommendation. | Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He |
| 2021 | CIKM | DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. | Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He |