Good Papers

Showing papers from Department of Computer Science and Engineering, The Chinese University of Hong Kong Show all papers

57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Department of Computer Science aMicrosoft Research, AsiaLong-context modeling

Breaking the Exactness Barrier: Interleaved DeepSeek Sparse Attention for Efficient Long Context Reasoning

Yifan GUO, Wei Cui

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Shanghai JiaotongDepartment of Computer Science aShanghai Jiao TongU Science and Technology of ChinXiamen universityVideo generation

RISE-Video: Can Video Generators Decode Implicit World Rules?

Mingxin Liu, Shuran Ma, Shibei Meng, Xiangyu Zhao and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026National University of SingaporeDepartment of Computer Science aNanjingXi'an University of Posts aInstitute of Automation, ChineseMolecules & drug discovery

Pareto Preference Optimization for Structure- and Stability-Aware RNA Inverse Folding

Minghao Sun, Hanqun Cao, Zhou Zhang, Chen Wei and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U North Carolina at Chapel HillThe Chinese University of Hong KThe Chinese University of Hong KU Illinois at Urbana-ChampaignInstitute of automation, ChineseRL for LLMs

Auto-Rubric as Reward: From Implicit Preference to Explicit Generative Criteria

Juanxi Tian, Fengyuan Liu, Jiaming Han, Yilei Jiang and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026The Chinese University of Hong KThe Hong Kong University of ScieChinese University of Hong KongTechnical University of MunichDepartment of Computer Science aDiffusion models

DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion

Siyuan Liang, Zixiao Wang, Chenghan Wang, Shanyi Li and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Department of Computer Science aCUHKOptimization

Multi-Nonsmooth-Nonconvex-Objective Optimization

Ru Wang, Chengchang Liu

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Guangdong Provincial Laboratory Chinese Medicine Guangdong LaborMacau University of Science and Department of Computer Science aRepresentation & contrastive learning

Self-Supervised Reconstruction Knockoffs for Calibrated Unsupervised Feature Selection

HaiHui Huang, Dingkui Kang, Yanan Zhou, Yong Liang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Department of Computer Science aU PennsylvaniaU Pennsylvania, University of PeThe Chinese University of Hong KMolecules & drug discovery

AlloGen: Conformation-Selective Binder Design with Differential State Scoring

Hanqun Cao, Aastha Pal, Sumi Kimura, Yesol Kim and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The Chinese University of Hong KXidianDepartment of Computer Science aQwen Team & Chinese UniversiChinese University of Hong KongBandits & online learning

Safe Linear Bandits with Unknown Safety Gaps

MAOLI LIU, Zhuohua Li, Zeyu Zhang, Xiangxiang Dai and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Department of Computer Science aQwen Team & Chinese UniversiU WashingtonChinese University of Hong KongTest-time compute

HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization

Ziyi Han, Huanyu Wang, Zeyu Zhang, Xiangxiang Dai and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Department of Computer Science aThe Chinese University of Hong KTencentChinese University of Hong KongGenomics & single-cell

Cross-Cell-Line Perturbation Prediction Needs Controls

Xingyu Fan, Jinghao Wang, kim hsieh, Chunbin Gu and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
86%Must read
?Must readVote to see the score
NeurIPS 2026Department of Computer Science aChinese University of Hong KongStanfordThe Chinese University of Hong KGenomics & single-cell

Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images

CELLO predicts single-cell spatial transcriptomics from histology via grid sampling and distance-decay cross-attention, achieving 14x faster inference than DeepSpot2Cell without upstream segmentation.

Zijun Gao, Chunbin Gu, Xiangde Luo, Jinxi Xiang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
86%Must read
?Must readVote to see the score
NeurIPS 2026Department of Computer Science aU California, BerkeleyDartmouth CollegeUC BerkeleyAutomated scientific discovery

Learning to Discover Iterative Spectral Algorithms

AutoSpec is a neural framework that discovers iterative spectral algorithms via self-supervised prediction of recurrence coefficients, yielding order-of-magnitude speedups over classical baselines.

Zihang Liu, Oleg Balabanov, Yaoqing Yang, Michael Mahoney

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Department of Computer Science aCity University of Hong KongHuawei Technologies Ltd.The Chinese University of Hong KTokenRhythm TechnologiesLong-context modeling

MemDLM: Memory-Enhanced DLM Training

MemDLM augments diffusion language model training via bi-level optimization with parametric memory, improving convergence, long-context representations, and needle retrieval.

Zehua Pei, Hui-Ling Zhen, Weizhe Lin, Sinno Pan and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 11

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
72%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Department of Computer Science aQwen Team & Chinese UniversiU WashingtonChinese University of Hong KongJailbreaks & red teaming

Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing

CCLUB enables adaptive LLM alignment via online system-prompt routing with conservative consensus clustering, achieving sublinear regret and improving cumulative reward by 10.98% over baselines.

Zeyu Zhang, Xiangxiang Dai, Ziyi Han, Xutong Liu and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
83%Must read
?Must readVote to see the score
NeurIPS 2026SpotlightHong Kong PolytechnicDepartment of Computer Science aZhejiangU Technology SydneyThe Hong Kong PolytechnicModel merging

FeatCal: Feature Calibration for Post-Merging Models

FeatCal reduces post-merging feature drift via layer-wise closed-form weight calibration without gradients, outperforming Surgery and ProbSurgery on CLIP and GLUE benchmarks.

Yanggan Gu, Shuo CAI, Zihao Wang, Wenjun Wang and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
80%Must read
?Must readVote to see the score
NeurIPS 2026Department of Computer Science aHuawei Technologies Ltd.Huawei AI Lab, Hong Kong ResearcThe Chinese University of Hong KChinese University of Hong KongUnified multimodal models

Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM

TextPro-SLM minimizes speech-text modality gap by feeding prosody-aware text inputs to LLMs, cutting the gap at 3B and 7B scales with only ~1,000 hours of audio.

Wenqian Cui, Xiao-Hui Li, Daxin Tan, Qiyong Zheng and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
89%Must read
?Must readVote to see the score
NeurIPS 2026The Chinese University of Hong KU MontrealDepartment of Computer Science aAI oversight & deception

Safe Evolution with Circuit Anchors

Self-evolving LLMs can misevolve into dangerous entities, and anchoring a small safety circuit during evolution preserves safety with minimal capability loss.

Yan Liu, Jie Fu, Tsung-Yi Ho

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Ant InternationalTsinghuaAlibaba GroupHuazhong University of Science aDepartment of Computer Science aTime series foundation models

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling

Falcon-X maps heterogeneous time series variates into a unified latent prototype space using diff-attention and latent entity attention to enable cross-variate modeling and zero-shot structural transfer with strong forecasting results.

Yiding Liu, Yifan Hu, Hongjie Xia, Peiyuan Liu and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
83%Must read
?Must readVote to see the score
NeurIPS 2026Department of Computer Science aBeijing University of Posts and PekingSimplexity RoboticsThe Chinese University of Hong KRobot manipulation

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning

LaST-R1 uses reinforcement learning with adaptive latent reasoning to optimize robotic action policies, achieving 99.9% success on LIBERO and up to 22.5% real-world gains.

Hao Chen, Zhonghao Yan, Jiaming Liu, Nuowei Han and 6 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 122

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
Show 20 more papers