CoChat: Enabling Bot and Human Collaboration for Task Completion. - Xufang Luo; Zijia Lin; Yunhong Wang 001; Zaiqing Nie (AAAI, 2018)

Improving Deep Learning by Regularized Scale-Free MSE of Representations. - Xufang Luo; Mingyang Yi; Yunhong Wang 001 (ICONIP (1), 2019)

I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. - Xufang Luo; Qi Meng; Di He 001; Wei Chen 034; Yunhong Wang 001 (IJCAI, 2020)

PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms. - Xufang Luo; Yunhong Wang 001 (Neurocomputing, 2020)

Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. - Xufang Luo; Qi Meng; Wei Chen 034; Yunhong Wang 001; Tie-Yan Liu (UAI, 2021)

Variational oracle guiding for reinforcement learning. - Dongqi Han; Tadashi Kozuno; Xufang Luo; Zhao-Yun Chen; Kenji Doya; Yuqing Yang 001; Dongsheng Li 002 (ICLR, 2022)

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. - Zhengyu Yang 002; Kan Ren; Xufang Luo; Minghuan Liu; Weiqing Liu; Jiang Bian 002; Weinan Zhang 001; Dongsheng Li 002 (IJCAI, 2022)

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. - Che Wang; Xufang Luo; Keith W. Ross; Dongsheng Li 002 (NeurIPS, 2022)

Bootstrapped Transformer for Offline Reinforcement Learning. - Kerong Wang; Hanye Zhao; Xufang Luo; Kan Ren; Weinan Zhang 001; Dongsheng Li 002 (NeurIPS, 2022)

MINDSim: User Simulator for News Recommenders. - Xufang Luo; Zheng Liu 011; Shitao Xiao; Xing Xie 001; Dongsheng Li 002 (WWW, 2022)

Accurate and Explainable Recommendation via Review Rationalization. - Sicheng Pan; Dongsheng Li 002; Hansu Gu; Tun Lu; Xufang Luo; Ning Gu (WWW, 2022)

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. - Han Zheng; Xufang Luo; Pengfei Wei 001; Xuan Song 001; Dongsheng Li 002; Jing Jiang 002 (AAAI, 2023)

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. - Eric Qu; Xufang Luo; Dongsheng Li 002 (ICLR, 2023)

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. - Yansen Wang; Xinyang Jiang; Kan Ren; Caihua Shan; Xufang Luo; Dongqi Han; Kaitao Song; Yifei Shen; Dongsheng Li 002 (ICML, 2023)

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. - Ziyue Li; Yuchen Fang; You Li; Kan Ren; Yansen Wang; Xufang Luo; Juanyong Duan; Congrui Huang; Dongsheng Li 002; Lili Qiu (SMC, 2023)

Is Risk-Sensitive Reinforcement Learning Properly Resolved? - Ruiwen Zhou; Minghuan Liu; Kan Ren; Xufang Luo; Weinan Zhang 001; Dongsheng Li 002 (CoRR, 2023)

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. - Jie Lian; Xufang Luo; Caihua Shan; Dongqi Han; Varut Vardhanabhuti; Dongsheng Li 002 (CoRR, 2023)

Toward Open-ended Embodied Tasks Solving. - William Wei Wang; Dongqi Han; Xufang Luo; Yifei Shen; Charles Ling 001; Boyu Wang 004; Dongsheng Li 002 (CoRR, 2023)

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. - Huiqiang Jiang; Qianhui Wu; Xufang Luo; Dongsheng Li 002; Chin-Yew Lin; Yuqing Yang 001; Lili Qiu (ACL (1), 2024)

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Menglin Xia; Xufang Luo; Jue Zhang; Qingwei Lin; Victor Rühle; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; et al. (ACL (Findings), 2024)

Unified Medical Image Pre-training in Language-Guided Common Semantic Space. - Xiaoxuan He; Yifan Yang 004; Xinyang Jiang; Xufang Luo; Haoji Hu; Siyun Zhao; Dongsheng Li 002; Yuqing Yang 001; Lili Qiu (ECCV (81), 2024)

Designing Network Algorithms via Large Language Models. - Zhiyuan He; Aashish Gottipati; Lili Qiu; Xufang Luo; Kenuo Xu; Yuqing Yang 001; Francis Y. Yan (HotNets, 2024)

CNN Kernels Can Be the Best Shapelets. - Eric Qu; Yansen Wang; Xufang Luo; Wenqiang He; Kan Ren; Dongsheng Li 002 (ICLR, 2024)

Addressing Signal Delay in Deep Reinforcement Learning. - William Wei Wang; Dongqi Han; Xufang Luo; Dongsheng Li 002 (ICLR, 2024)

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. - Huiqiang Jiang; Yucheng Li; Chengruidong Zhang; Qianhui Wu; Xufang Luo; Surin Ahn; Zhenhua Han; Amir H. Abdi; Dongsheng Li 002; Chin-Yew Lin; Yuqing Yang 001; Lili Qiu (NeurIPS, 2024)

LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. - Shentong Mo; Yansen Wang; Xufang Luo; Dongsheng Li 002 (CoRR, 2024)

LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. - Zilong Wang 006; Xufang Luo; Xinyang Jiang; Dongsheng Li 002; Lili Qiu (CoRR, 2024)

LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models. - Zhiyuan He; Aashish Gottipati; Lili Qiu; Francis Y. Yan; Xufang Luo; Kenuo Xu; Yuqing Yang 001 (CoRR, 2024)

A Large-scale Medical Visual Task Adaptation Benchmark. - Shentong Mo; Xufang Luo; Yansen Wang; Dongsheng Li 002 (CoRR, 2024)

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. - Yijiong Yu; Huiqiang Jiang; Xufang Luo; Qianhui Wu; Chin-Yew Lin; Dongsheng Li 002; Yuqing Yang 001; Yongfeng Huang 001; Lili Qiu (CoRR, 2024)

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation. - Weiquan Huang; Aoqi Wu; Yifan Yang 004; Xufang Luo; Yuqing Yang 001; Liang Hu; Qi Dai 001; Xiyang Dai; Dongdong Chen 001; Chong Luo; Lili Qiu (CoRR, 2024)

Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel. - Yijiong Yu; Huiqiang Jiang; Xufang Luo; Qianhui Wu; Chin-Yew Lin; Dongsheng Li 002; Yuqing Yang 001; Yongfeng Huang 001; Lili Qiu (ACL (Findings), 2025)

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key. - Zhihe Yang; Xufang Luo; Dongqi Han; Yunjian Xu; Dongsheng Li 002 (CVPR, 2025)

SCBench: A KV Cache-Centric Analysis of Long-Context Methods. - Yucheng Li; Huiqiang Jiang; Qianhui Wu; Xufang Luo; Surin Ahn; Chengruidong Zhang; Amir H. Abdi; Dongsheng Li 002; Jianfeng Gao 001; Yuqing Yang 001; Lili Qiu (ICLR, 2025)

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. - Shentong Mo; Xufang Luo; Dongsheng Li 002 (ICLR, 2025)

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng 002; Dongsheng Li 002; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; Jianfeng Gao 001 (ICLR, 2025)

On Memory Construction and Retrieval for Personalized Conversational Agents. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng 002; Dongsheng Li 002; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; Jianfeng Gao 001 (CoRR, 2025)

VisRL: Intention-Driven Visual Perception via Reinforced Reasoning. - Zhangquan Chen; Xufang Luo; Dongsheng Li 002 (CoRR, 2025)

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention. - Yucheng Li; Huiqiang Jiang; Chengruidong Zhang; Qianhui Wu; Xufang Luo; Surin Ahn; Amir H. Abdi; Dongsheng Li 002; Jianfeng Gao 001; Yuqing Yang 001; Lili Qiu (CoRR, 2025)

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. - Jiaxu Qian; Chendong Wang; Yifan Yang 004; Chaoyun Zhang; Huiqiang Jiang; Xufang Luo; Yu Kang 006; Qingwei Lin; Anlan Zhang; Shiqi Jiang; Ting Cao; Tianjun Mao; et al. (CoRR, 2025)

Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs. - Zhihe Yang; Xufang Luo; Zilong Wang 006; Dongqi Han; Zhiyuan He; Dongsheng Li 002; Yunjian Xu (CoRR, 2025)