update

Author: WangHanLinHenry

home.html

@@ -34,6 +34,7 @@ <h2>Overview</h2>
         </div>
         <div class="news-container">
             <h2>Latest News:</h2>
+            <p><b>[September 19, 2025]</b> This is truly amazing! Our group has three papers accepted for NeurIPS2025. Congratulations to Yang Xiao and Xin Zhang! It is also impressive that Runyang You, who just enrolls in September, also has a paper accepted. Fantastic!.</p>
             <p><b>[August 21, 2025]</b> Congratulations to Heming Xia and Kaishuai Xu for their papers accepted into EMNLP2025.</p>
             <p><b>[August 17, 2025]</b> Congratulations to Xin Zhang! His work on "Phased Training for LLM-powered Text Retrieval Models Beyond Data Scaling" was accepted by COLM2025.</p>
             <p><b>[July 2, 2025]</b> We have successfully had five papers accepted into the main conference and an additional five papers accepted into Findings at ACL2025. Congratulations to Chak Tou Leong, Wenjun Hou, Kaishuai Xu, Xin Zhang, Yang Xiao, Jian Wang, Hanlin Wang, Qiancheng Xu and Xinghao Chen !</p>

index.html

@@ -34,6 +34,7 @@ <h2>Overview</h2>
         </div>
         <div class="news-container">
             <h2>Latest News:</h2>
+            <p><b>[September 19, 2025]</b> This is truly amazing! Our group has three papers accepted for NeurIPS2025. Congratulations to Yang Xiao and Xin Zhang! It is also impressive that Runyang You, who just enrolls in September, also has a paper accepted. Fantastic!.</p>
             <p><b>[August 21, 2025]</b> Congratulations to Heming Xia and Kaishuai Xu for their papers accepted into EMNLP2025.</p>
             <p><b>[August 17, 2025]</b> Congratulations to Xin Zhang! His work on "Phased Training for LLM-powered Text Retrieval Models Beyond Data Scaling" was accepted by COLM2025.</p>
             <p><b>[July 2, 2025]</b> We have successfully had five papers accepted into the main conference and an additional five papers accepted into Findings at ACL2025. Congratulations to Chak Tou Leong, Wenjun Hou, Kaishuai Xu, Xin Zhang, Yang Xiao, Jian Wang, Hanlin Wang, Qiancheng Xu and Xinghao Chen !</p>

publications.html

@@ -30,6 +30,30 @@ <h2>Publications</h2>
         <div class="publications">
             <h2>2025</h2>
 
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b><a class="text-link" href="https://arxiv.org/abs/2505.19187" target="_blank">LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling</a></b></span>
+                </div>
+                <p><em>Yang Xiao, Jiashuo Wang, Ruifeng Yuan, Chunpu Xu, Kaishuai Xu, <b>Wenjie Li</b>, Pengfei Liu.</em></p>
+                <p>The 39th Annual Conference on Neural Information Processing Systems (NeurIPS'2025).</p>
+            </div>
+
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b><a class="text-link" href="https://arxiv.org/abs/2505.16994" target="_blank">R²ec: Towards Large Recommender Models with Reasoning</a></b></span>
+                </div>
+                <p><em>Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, <b>Wenjie Li</b>, Liqiang Nie.</em></p>
+                <p>The 39th Annual Conference on Neural Information Processing Systems (NeurIPS'2025).</p>
+            </div>
+
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b><a class="text-link" href="" target="_blank">SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data</a></b></span>
+                </div>
+                <p><em>Xin Zhang, Mingxin Li, Yanzhao Zhang, Dingkun Long, Yongqi Li, Yinghui Li, Pengjun Xie, Meishan Zhang, <b>Wenjie Li</b>, Min Zhang, Philip S. Yu.</em></p>
+                <p>The 39th Annual Conference on Neural Information Processing Systems (NeurIPS'2025), Datasets and Benchmarks Track.</p>
+            </div>
+
             <div class="publication-item">
                 <div class="publication-bullet">
                     <span class="tag_conference">Conference</span><span><b><a class="text-link" href="https://arxiv.org/abs/2502.12067" target="_blank">TokenSkip: Controllable Chain-of-Thought Compression in LLMs</a></b></span>