add: 2 kdd papers

_bibliography/pubs.bib

@@ -3,6 +3,24 @@
 
 @string{aps = {American Physical Society,}}
 
+@inproceedings{qin2023generalizable,
+  title={Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning},
+  author={Qin, Xin and Wang, Jindong and Ma, Shuo and Lu, Wang and Zhu, Yongchun and Xie, Xing and Chen, Yiqiang},
+  booktitle={The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
+  year={2023},
+  corr={true},
+  selected={true}
+}
+
+@inproceedings{zhang2023domain,
+  title={Domain-Specific Risk Minimization for Out-of-Distribution Generalization},
+  author={Zhang, Yi-Fan and Wang, Jindong and Liang, Jian and Zhang, Zhang and Yu, Baosheng and Wang, Liang and Tao, Dacheng and Xie, Xing},
+  booktitle={The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
+  year={2023},
+
+  arxiv={https://arxiv.org/abs/2208.08661}
+}
+
 @inproceedings{yang2023glue,
   title={GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective},
   author={Yang, Linyi and Zhang, Shuibai and Qin, Libo and Li, Yafu and Wang, Yidong and Liu, Hanmeng and Wang, Jindong and Xie, Xing and Zhang, Yue},

_news/kdd23.md

@@ -0,0 +1,7 @@
+---
+layout: post
+date: 2023-05-17
+inline: true
+---
+
+Two papers are accepted by KDD 2023.

_pages/publications.md

@@ -14,7 +14,6 @@ nav: true
 - Exploring Vision-Language Models for Imbalanced Learning. Yidong Wang, Zhuohao Yu, **Jindong Wang**, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang. [[arxiv](https://arxiv.org/abs/2304.01457)] [[code](https://github.com/Imbalance-VLM/Imbalance-VLM)]
 - An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. Hao Chen, Yue Fan, Yidong Wang, **Jindong Wang**, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj. [[arxiv](https://arxiv.org/abs/2211.11086)] 
 - FIXED: Frustratingly Easy Domain Generalization with Mixup. Wang Lu, **Jindong Wang**, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie. [[arxiv](https://arxiv.org/abs/2211.05228)]
-- Domain-Specific Risk Minimization for Out-of-Distribution Generalization. YiFan Zhang, **Jindong Wang**, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Xing Xie, and Dacheng Tao. [[arxiv](https://arxiv.org/pdf/2208.08661.pdf)]
 - Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, and Marios Savvides. [[arxiv](https://arxiv.org/abs/2208.07463)]
 - Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. Wang Lu, **Jindong Wang**, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie. [[arxiv](https://arxiv.org/abs/2209.00652)]
 - Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. Yivan Zhang, **Jindong Wang**, Xing Xie, and Masashi Sugiyama. [[arxiv](https://arxiv.org/abs/2208.02011)]

_pages/research.md

@@ -16,7 +16,9 @@ Our research consists of the following topics with selected publications: [[View
 ##### Out-of-distribution (Domain) generalization and adaptation for distribution shift
 
 - **[ICLR'23]** [Out-of-distribution Representation Learning for Time Series Classification](https://arxiv.org/abs/2209.07027). Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, and Xing Xie.
-- **[ACL'23 findings]** [GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective](https://arxiv.org/abs/2211.08073). Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, **Jindong Wang**, Xing Xie, Yue Zhang.
+- **[KDD'23]** [Domain-Specific Risk Minimization for Out-of-Distribution Generalization](https://arxiv.org/pdf/2208.08661.pdf). YiFan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Xing Xie, and Dacheng Tao.
+- **[KDD'23]** [Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning](ddd). Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen.
+- **[ACL'23 findings]** [GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective](https://arxiv.org/abs/2211.08073). Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang.
 - **[TKDE'22]** [Generalizing to Unseen Domains: A Survey on Domain Generalization](https://arxiv.org/abs/2103.03097). Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, and Philip S. Yu.
 - **[TMLR'22]** [Domain-invariant Feature Exploration for Domain Generalization](https://arxiv.org/abs/2207.12020). Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, and Xing Xie.
 - **[UbiComp'22]** [Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition](http://arxiv.org/abs/2206.06629). Wang Lu, Jindong Wang, Yiqiang Chen, Sinno Pan, Chunyu Hu, and Xin Qin.